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Article
Engineering, Electrical & Electronic
Joseba Erdocia et al.
Summary: This paper analyzes the performance of inverter-based stand-alone microgrids and proposes a new G-f droop control method to ensure the synchronization stability of the system.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Industrial
Sheng Xu et al.
Summary: This paper proposes a simulation framework to quantitatively analyze the resilience of renewable Cyber-Physical Power Systems (CPPS) against malware attacks. By considering different stages of the resilience process and proposing corresponding methods to enhance system resilience, the efficacy and applicability of the framework are demonstrated.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Energy & Fuels
Qinghui Li et al.
Summary: A novel demand response program (DRP) has been proposed for renewable-based microgrids (MGs) in this research study, which considers the high penetration of tidal units and solar energy as important and prevalent renewable resources. The use of a multi-objective problem (MOP) structure is a promising solution to reduce operating costs and reduce the risk of failure in electrical power transmission. An innovative heuristic solution derived from the Grey Wolf optimization algorithm is proposed to resolve the complexities and nonlinearity of the problem without compromising precision. This paper also develops a deep learning model using generative adversarial networks (GAN) to accurately forecast the power generation of tidal and solar agents considering the unpredictability of solar irradiance.
Article
Engineering, Electrical & Electronic
Songlin Hu et al.
Summary: This paper addresses the issue of load frequency control (LFC) for islanded AC-MGs under simultaneous false data injection (FDI) attacks and denial-of-service (DoS) attacks. A new piecewise observer is constructed to estimate the system state and the FDI attack signal in real-time. A resilient H8 LFC scheme is developed to mitigate the impact of the attacks. The novelty lies in the use of an attack-parameter-dependent time-varying Lyapunov function approach for stability analysis and observer/controller design against concurrent FDI attacks and intermittent DoS attacks.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Chemistry, Multidisciplinary
Waleed Abdulrazzaq Oraibi et al.
Summary: This paper proposes a practical and effective planning approach that utilizes mobile energy storage systems (MESSs) to enhance distribution system resilience against blackouts. A joint post-disaster restoration strategy is suggested to reduce total system costs and account for uncertainties. The suggested model effectively decreases costs and enhances the DS resilience level.
APPLIED SCIENCES-BASEL
(2023)
Review
Computer Science, Information Systems
Mina Jafari et al.
Summary: This paper introduces the concept of digital twin (DT) and its various applications in different domains, such as energy management, transportation systems, and power grids. By utilizing platforms and bidirectional interaction of data in real-time, DT can accurately reflect the behavior of physical entities. The paper also discusses the challenges associated with DT technology and proposes solutions.
Review
Mathematics
Bingyin Lei et al.
Summary: This paper reviews the research progress in microgrid reliability optimization, including the classification and summarization of microgrid control strategies and reliability assessment, the summary of reliability optimization framework, the commonly used optimization algorithms, and the bibliometric analysis of literature. It also proposes future research challenges in microgrid reliability.
Review
Telecommunications
Daniel T. T. Ramotsoela et al.
Summary: The popularity of microgrids has risen due to the move towards renewable energy and advancements in electricity generation, distribution, and transmission. However, the convenience of these decentralized applications has also led to an increase in cyber-attacks against them. To protect these systems, intrusion detection and prevention systems are necessary as a critical design feature is system resilience. This paper addresses the practical considerations for implementing these schemes by using water distribution systems as a case study.
JOURNAL OF SENSOR AND ACTUATOR NETWORKS
(2023)
Article
Computer Science, Theory & Methods
Haftu Tasew Reda et al.
Summary: This article presents a comprehensive review of defense countermeasures against false data injection attacks in the Smart Grid. The theoretical and practical significance of relevant existing literature in Smart Grid cybersecurity is evaluated and compared. The study identifies technical limitations of existing false data attack detection research and recommends future research directions.
ACM COMPUTING SURVEYS
(2023)
Article
Energy & Fuels
Mauricio Rodriguez et al.
Summary: The growth of the world population has led to an increase in rural areas, but many isolated rural areas lack the infrastructure to provide essential services like electricity. Isolated microgrids have emerged as a solution, but their optimal implementation depends on various factors. This study proposes a fuzzy-based energy management system (EMS) for isolated microgrids, using a combination of fuzzy logic control and optimization algorithms to improve performance and efficiency. A case study in Ecuador demonstrates the advantages of the proposed approach in terms of diesel generator usage, battery lifespan, and operating costs.
Article
Energy & Fuels
Angelina D. Bintoudi et al.
Summary: This paper proposes a holistic optimal topology design framework for microgrid topology planning, which includes six stages: graph generator, optimal asset positioning, small-signal stability assessment, post-outage flow matrix calculation, quantification of resilience metrics, and aggregation of said metrics. The methodology is evaluated through detailed discrete simulations to assess its efficacy and the dynamic stability of the optimal microgrid topology.
Article
Energy & Fuels
Jorn M. Reniers et al.
Summary: Large-scale grid-connected lithium-ion batteries are increasingly being deployed to support renewable energy roll-out. However, the impact of system design choices and ancillary system controls on long-term degradation and efficiency of these systems has rarely been considered. This study provides detailed simulation results on a 1 MWh grid battery system, showing that the variation in degradation rate of individual cells dominates the system behaviour over the lifetime. The importance of careful thermal management system control is also demonstrated, improving overall efficiency and total usable energy over time.
Article
Energy & Fuels
Chao Qin et al.
Summary: This paper proposes a defense method to allocate hardening resources for power systems, considering the full substation topology and the multi-stage response process. A graph-based analytical model is established to reveal the influence mechanism of coordinated cyber-physical attacks involving protective relays on power systems. The results show that the proposed method effectively defends against coordinated attacks and enhances the resilience level of power systems.
Article
Energy & Fuels
D. G. Rosero et al.
Summary: This paper evaluates the integration of tools such as the internet of things, cloud computing, and machine learning into a microgrid real-time energy management system. The proposed cloud-based system is tested by solving an economic power dispatch problem in a multi-microgrid environment. As demonstrated by the experimental evidence, combining machine learning techniques and internet of things tools with a scalable and autonomous real-life cloud-based energy management system architecture improves functionality, enhances energy forecasting, and reduces costs.
Article
Computer Science, Artificial Intelligence
M. Talaat et al.
Summary: This paper provides a comprehensive review of the integration of renewable energy sources (RESs), including various combinations of integrated systems, integration schemes, integration requirements, microgrid communication challenges, as well as the use of artificial intelligence in the integration. It also discusses optimization techniques to reduce the total cost of integrated energy sources and up-to-date methods to improve the performance of the electrical grid. A case study demonstrates that the use of artificial intelligence improves the accuracy of operation and enables effective and accurate prediction control of the integrated system. Various optimization techniques combined with ANN are used to select the best hybrid model, with PSO showing a fast convergence rate and reaching a minimum error of 1.10% in 3367.50 seconds.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Review
Engineering, Electrical & Electronic
D. Jain et al.
Summary: This paper reviews the integration of distributed generation units into the utility grid through the use of microgrid, focusing on control methods and stability analyses. It discusses the hierarchical control method, primary, secondary, and tertiary layers, as well as multiple schemes for current or voltage regulation, voltage or current error correction, power-sharing, power flow, and energy management. It also examines different control architectures and their benefits and drawbacks. The paper highlights the importance of control strategies for microgrid stability and discusses specific factors such as mode transition and coordinated control between converter and storage systems. Furthermore, it reviews rotor angle, voltage and frequency instability in power systems, and methods for improving stability in microgrid.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Review
Energy & Fuels
Musawenkosi Lethumcebo Thanduxolo Zulu et al.
Summary: The use of fossil-fueled power stations has led to harmful effects, making alternative energy sources necessary. Microgrids that utilize renewable energy and advancements in ICT are gaining attention for their efficiency and environmentally friendly nature. However, faults can impact the performance of microgrids, thus requiring dynamic energy management and artificial intelligence strategies. This study reviews the applications of AI techniques such as ML, GA, ANN, FL, PSO, heuristic optimization, and ABC in microgrids, analyzing their benefits, drawbacks, and future prospects.
Article
Energy & Fuels
Majid Ali et al.
Summary: Extreme weather conditions and natural disasters are the main causes of power outages. Microgrids are proposed as the best way to enhance the resilience of the electric power system. Two different energy system scenarios were compared based on technology, economics, and the environment, showing similar resiliency enhancement but varying in CO2 emissions and operating costs.
Article
Energy & Fuels
Sayyed Ahmad Ali et al.
Summary: The availability of sustainable, efficient electricity access is crucial for rural communities, and isolated microgrids can provide a solution by generating electricity from local renewable energy sources. Effective management of energy resources and load scheduling is essential for ensuring reliability and cost-effectiveness. An optimal energy management system with a local energy transactive market is proposed, using a modified hybrid version of the JAYA and TLBO algorithm, which outperforms other algorithms in achieving the best numerical value for all objectives.
Article
Thermodynamics
A. G. Olabi et al.
Summary: Increased consumption of fossil fuels has led to abnormal weather conditions, and utilizing renewable energy sources is an effective solution for combating global warming. Accurate weather forecasting and integration of renewable energy sources with energy storage systems can mitigate the intermittent nature of these sources. Artificial Intelligence (AI), digital twins, and other digital technologies have the potential to optimize energy production, storage, and consumption, making the energy system more efficient and adaptable. This editorial discusses prevalent technologies, potential applications, obstacles, and challenges in energy digitalization, as well as research presented at the 13th International Conference on Sustainable Energy & Environmental Protection SEEP2021 at Boku University, Austria.
Article
Automation & Control Systems
Arunava Naha et al.
Summary: In this article, the problem of replay attack detection is addressed by adding watermarking to the control inputs and performing resilient detection using cumulative sum (CUSUM) test on the joint statistics of the innovation signal and the watermarking signal. The Kullback-Liebler divergence (KLD) between the two joint distributions before and after the replay attack is derived and is inversely proportional to the detection delay. The proposed method is compared with a state-of-the-art method based on the Neyman-Pearson detector, illustrating the smaller detection delay of the proposed sequential detector.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Review
Energy & Fuels
Luka Strezoski
Summary: This article reviews the state of the art in different software solutions for managing distributed energy resources (DERs). It discusses the roles and responsibilities of different levels of hierarchy in these solutions and offers insights into the potential directions for developing more robust and intelligent DERMS.
WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
(2023)
Article
Engineering, Electrical & Electronic
Mark Karanfil et al.
Summary: Microgrids, a part of smart grids, are important for integrating distributed and renewable energy and can operate independently from the main grid. Protecting microgrids from cyberattacks is crucial as they become more common in smart grids. This paper presents the first design and implementation of a microgrid security monitoring platform based on IEC 62351-7:2017 Network and System Management (NSM). Attack simulations are conducted to evaluate the detection schemes, and the results show the strengths and gaps of security monitoring based on NSM.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Review
Green & Sustainable Science & Technology
Sulman Shahzad et al.
Summary: Microgrids are an emerging technology that offers numerous advantages over traditional power grids, but also face various challenges. This research provides valuable insights into the strategies and technologies required to overcome these challenges, evaluates the current state of microgrid development in Pakistan, and draws lessons from international best practices.
Article
Green & Sustainable Science & Technology
Tayyaba Anees et al.
Summary: The Web of Things (WoT) is an improved concept based on the Internet of Things (IoT), which integrates smart objects into both the web architecture and the internet network. WoT applications are widely used in residential homes and communities, aiming to promote sustainable development by reducing resource consumption. Edge computing helps alleviate IoT computing demands by placing data closer to end users, reducing traffic congestion and improving response times for real-time applications. This paper explores the integration of WoT and edge computing, comparing their functionalities and focusing on aspects such as transmission, storage, and computation. Challenges and advantages of both WoT and edge computing are discussed in terms of bandwidth, latency, energy, and cost.
Article
Green & Sustainable Science & Technology
Ramesh Kumar Arunachalam et al.
Summary: A hybrid microgrid system was modelled using HOMER-Pro software to consider real-time load and available energy sources in Elapakkam village, Tamil Nadu, India. Optimization approaches were applied to select the rating of physical components and economic parameters for an optimal-sized and reliable system. A comparison of cost of energy and renewable energy penetration was conducted for different case studies in the village, revealing the potential to minimize emissions through a combination of existing and renewable energy systems.
Editorial Material
Computer Science, Information Systems
Shengqing Li et al.
Article
Computer Science, Information Systems
Zhichun Yang et al.
Summary: DC microgrids have attracted global attention for their high system efficiency and simple control. Voltage control is crucial in self-sufficient energy systems for handling renewable energy integration challenges. This study compares the performances of three voltage control strategies in DC microgrids, namely proportion integration (PI) control, fuzzy PI control, and particle swarm optimization (PSO) PI control. It investigates the impacts of different energy storage systems (ESSs), including batteries and advanced adiabatic compressed air energy storage (AA-CAES), on voltage control. The study comprehensively compares the control performances under various scenarios and fault conditions, considering participation of the ESSs in control. Additionally, it exhibits the dynamic performances of the ESSs and verifies the validity of the control schemes.
Article
Energy & Fuels
Yicheng Lian et al.
Summary: This paper proposes a multi-objective optimization model for data center microgrids, taking into account uncertainties and evaluating the effectiveness of uncertainty handling methods. Simulation results show that the proposed approach has advantages in reducing operating costs and reveals quantitative relationships between different objectives.
Review
Engineering, Multidisciplinary
Babangida Modu et al.
Summary: This article provides a comprehensive review of the current status and future prospects of DC-based microgrids, highlighting their advantages in terms of compatibility with renewable energy systems, energy storage, modern electrical appliances, high efficiency, and reliability. The control of DC microgrids is complicated by the integration of different distributed generations, and research efforts are being made to develop efficient control techniques. However, there is a lack of emphasis on power flow analysis methods and hybrid control topologies in existing review papers.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Review
Mathematics
Alexandra I. Khalyasmaa et al.
Summary: Digital twin is an emerging technology for the digital transformation of the power industry. Its widespread application will lead to a new level of development in the industry. This article provides a comprehensive overview of the industrial application experience of digital twin technologies, with a focus on high-voltage power equipment lifecycle management. It highlights the importance of reliable data, and the use of artificial intelligence methods to automate data collection and processing in order to effectively manage the life cycle of power equipment.
Article
Mathematics
Upasana Lakhina et al.
Summary: This paper proposes an enhanced multi-objective multi-verse optimizer algorithm (MOMVO) for stochastic generation power optimization in a renewable energy-based islanded microgrid framework. The algorithm schedules power among different generation sources to minimize generation costs and power losses in the microgrid. Simulation results demonstrate that MOMVO outperforms other metaheuristic algorithms for multi-objective optimization.
Article
Computer Science, Information Systems
Shaymaa Mamdouh Khalil et al.
Summary: Cyber threat modeling is a vital analytical process for identifying potential threats and selecting security requirements in the early stages of system development. This study proposes a detailed methodology to apply STRIDE to cyber-physical systems and demonstrates its applicability in a case study of a microgrid system.
COMPUTERS & SECURITY
(2023)
Review
Energy & Fuels
Maysam Abbasi et al.
Summary: This paper provides a comprehensive overview of the microgrid concept, including definitions, challenges, advantages, components, structures, communication systems, and control methods, with a focus on low-bandwidth, wireless, and wired control approaches. Microgrids are crucial for current and future electricity network development, offering benefits such as enhanced stability, increased efficiency, integration of clean energies, and improved power quality. Recent research has investigated efficient control systems for different types of microgrids, particularly those based on low-bandwidth communication.
Review
Energy & Fuels
Trinadh Pamulapati et al.
Summary: The energy sector is experiencing a paradigm shift in all stages, driven by the increase in renewable energy sources, technological advancements, and the active nature of distribution system components. This has led to the development of microgrid energy systems requiring efficient energy management systems (EMSs) to address the intermittency and controllability challenges. Recent studies have widely used multi-agent systems (MASs) and model predictive control (MPC) approaches, which offer advantages in addressing most EMS challenges and providing affordable, flexible, and secure microgrid operation.
Article
Thermodynamics
Fabian Heymann et al.
Summary: This paper analyzes the impact of digitalization on societal, economic, and environmental processes, with a focus on the electricity sector. It highlights the potential benefits of digitalized electricity systems, such as increased efficiency, transparency, and consumer participation, as well as the challenges including electricity demand growth, autonomy loss, and increasing cyber risks.
Article
Engineering, Electrical & Electronic
Ying-Yi Hong et al.
Summary: This study proposes the use of a digital twin (DT) for the energy management of networked microgrids (NMGs) in the distribution system. NMGs are virtually represented using a neural network (NN), which is trained with data from different optimal results of unit commitment (UC). The merit of the proposed method is that the virtual model (NN) can interact with the physical model (NMGs) in a real-time manner that depends on its operational mode.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Saeed H. Hanzaei et al.
Summary: This article proposes a distributed model-based cooperative controller to improve voltage synchronization in DC-isolated microgrids. The controller synchronizes not only the output voltages but also their derivatives by introducing a global performance index. The proposed controller ensures global system stability and simulations show its effectiveness in terms of voltage synchronization, stability, and voltage convergence speed when input voltage disturbances are present.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Jianxiao Wang et al.
Summary: In this paper, a conceptual framework for data sharing in energy systems is designed, focusing on the challenges, techniques, and prospects. The attributes of data assets and the bottlenecks of data trading are introduced. The fundamental issues of right confirmation and privacy protection are systematically reviewed. A detailed data market is conceived with market bids, data asset valuation and pricing strategy, and game-based clearing. Low-hanging fruits of data sharing in energy systems are also discussed.
ADVANCES IN APPLIED ENERGY
(2023)
Article
Engineering, Electrical & Electronic
Mahmood Jamali et al.
IEEE Transactions on Smart Grid
(2023)
Article
Engineering, Electrical & Electronic
Ehsan Naderi et al.
Summary: This paper experimentally validates the effectiveness of a primary/backup framework in preventing and mitigating the impacts of false data injection cyberattacks on a wind/photovoltaic microgrid. By utilizing an artificial intelligence-based false data detection algorithm and introducing a remedial action scheme, the functionality of the microgrid can be effectively maintained. The experimental results demonstrate the efficiency of the proposed framework.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Proceedings Paper
Education & Educational Research
Pablo Teodoro et al.
Summary: This paper introduces the use of Virtual Reality (VR) to enhance the learning and practice of power station operators. A training routine using the RVCEMIG software's Routine Editor tool was created, allowing operators to go through a self-guided visit to identify electrical equipment in power stations. They are given instructions and assessed on their knowledge through a series of questions. The goal is to improve traditional training methods and demonstrate the benefits of this new approach using the Kirkpatrick model.
PERSPECTIVES AND TRENDS IN EDUCATION AND TECHNOLOGY, ICITED 2022
(2023)
Review
Computer Science, Information Systems
Saad Ahmad et al.
Summary: This paper aims to review the recent developments in Energy Management and Control Systems (EMCS) techniques. Firstly, the fundamentals of microgrids are discussed, followed by a critical literature review on various methods applied for EM optimization in microgrid applications. The paper also emphasizes on IEEE standards related to MG operation and control to enhance the interoperability of diverse EMCS techniques.
Review
Energy & Fuels
Armando J. Taveras Cruz et al.
Summary: Microgrids have many advantages, such as assisting smart grids and providing electricity to cities. The integration of 5G technology improves connectivity and reduces latency, enabling real-time analysis and monitoring of microgrids. Therefore, analyzing the integration of 5G technology is crucial for enhancing microgrid management.
Article
Energy & Fuels
Chang Wang et al.
Summary: By integrating controllable source-load in the form of virtual energy storage, the virtual energy storage system (VESS) provides a feasible solution for the co-optimization of source-load-energy storage in the DC microgrid. It establishes virtual energy storage equivalent models for wind turbines, asynchronous motors, desalination loads, and electric vehicles. An economic optimization model is formed to maximize the microgrid operation gain, and an energy cooperative optimization control strategy is developed. Simulation results show that the source-load-storage energy co-optimization control improves the microgrid's operation economy.
Review
Computer Science, Software Engineering
J. Dhanalakshmi et al.
Summary: Energy analytics has rapidly developed in the fields of big data and machine learning over the past decade, leading to exponential growth in energy data. Energy computing techniques are widely used in various domains to handle the data analysis process in the energy sector. Different research questions and technologies in energy-oriented domains have gained significant attention and focus.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Energy & Fuels
Khaizaran Abdulhussein Al Sumarmad et al.
Summary: This paper introduces a microgrid system and an efficient energy management system based on fuzzy logic controllers. The proposed technique, which focuses on supplying loads with renewable energy and monitoring the battery's charge, demonstrates the viability and effectiveness in a microgrid.
Article
Thermodynamics
Qian Ma et al.
Summary: This paper presents a sustainable framework and techno-feasibility evaluation of stand-alone hybrid power options for electrification in Persian Gulf Islands. It explores new patterns in renewable behavior using cycle charging and load following strategies, with the optimal solution found to be the integration of various renewable energy components on Lavan Island.
Article
Green & Sustainable Science & Technology
Xia Chen et al.
Summary: This paper proposes a resilient distributed control based on the average consensus algorithm and the proportional-integral (PI) consensus algorithm to enhance system resilience against denial of service attacks and improve microgrid stability. Simulations have been conducted to verify the effectiveness of the proposed method.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Computer Science, Information Systems
Mohammad Kamrul Hasan et al.
Summary: This study investigates the implementation of blockchain in smart grids to address security and trust challenges, while utilizing big data and the Internet to find efficient solutions for combining renewable energy and storage technologies.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Moayad Aloqaily et al.
Summary: The development of intelligent cities involves increasing local energy generation through renewable resources, allowing for energy trading between local producers and consumers. A hybrid approach involving both local and external prosumers is necessary, facilitated by a centralized energy trading system like SynergyGrids, which reduces energy costs and grid loads. This hybrid energy trading platform utilizing smart contracts shows promising results in lowering costs and improving energy management.
PEER-TO-PEER NETWORKING AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Najmeh Bazmohammadi et al.
Summary: With the advancement of information and communication technologies, the concept of digital twinning has attracted attention worldwide. A microgrid digital twin (MGDT) is a digital representation of a microgrid that replicates the behavior of the physical system using high-fidelity models and real-time data exchange. MGDTs provide an efficient and secure way to manage historical and real-time data, supporting the design, operation management, and maintenance of microgrids. This paper introduces the concept of digital twinning and presents a workflow for establishing MGDTs, explores various applications of digital twinning in microgrids, and discusses future trends in MGDTs.
Article
Computer Science, Information Systems
Patry J. Colorado et al.
Summary: This study proposes a methodology to assess the probability of a successful transition of a microgrid from grid-connected to islanded mode. The method uses probabilistic curves and Monte Carlo simulations to consider the influence of different factors, and evaluates the impact of storage unit capacity on the success of the transition.
Review
Computer Science, Information Systems
Navid Salehi et al.
Summary: This paper investigates the energy management system (EMS) and optimization methods in community microgrids, including the most common control strategies and multi-objective optimization methods. It also considers the constraints and uncertainties of renewable energies, and introduces algorithms for analyzing the Pareto-optimal solution set.
Article
Construction & Building Technology
Xiaoyun Zheng et al.
Summary: In this paper, a new cloud-fog computing framework is proposed for energy management and operation of smart microgrids (SMG) to enhance efficiency and security. The framework leverages the advantages of cloud computing techniques and applies various load balancing techniques for improved performance. The grey wolf optimization algorithm is also utilized to balance the load among different components.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Computer Science, Information Systems
Keifa Vamba Konneh et al.
Summary: In this review paper, the superiority of Model Predictive Control (MPC) in modeling uncertainties for microgrids is presented. The features, strengths, and weaknesses of different modeling methods and their variants regarding uncertainties in microgrids are highlighted. This survey article will aid researchers and model developers in developing more robust algorithms and techniques to address the increasing penetration of renewable energy resources in modern energy systems.
Article
Energy & Fuels
Ying Wu et al.
Summary: This paper investigates the role of microgrid and blockchain in enabling the energy community, aiming to boost electrification solutions in various sectors and promote technological, social, and economic innovations in the sustainable energy supply chain.
Article
Energy & Fuels
Sen Tan et al.
Summary: In this paper, a robust cyber-attack detection scheme is proposed for DC microgrid systems, which utilizes parity-based method and singular value decomposition approach to achieve robust detection against perturbations and disturbances, with only local knowledge required.
Article
Energy & Fuels
Sofia Agostinelli et al.
Summary: This paper discusses an infrastructure digitization policy to optimize maintenance processes and energy efficiency, transforming port areas into Zero Energy Districts (ZED). The Lazio Region initiated the process for all its ports in 2020, with the Anzio port serving as a pilot project due to its representative nature in the Mediterranean Sea. The study aims to develop energy-saving procedures and strategies while integrating Renewable Energy Systems (RESs) for sustainable mobility. The article provides a detailed description of these strategies and conducts an energy analysis to demonstrate the potential energy self-sufficiency of the infrastructure. The article also highlights the potential of utilizing a Digital Twin (DT) for area investigation, and discusses the combined possibilities of Building Information Modeling (BIM) and Geographic Information System (GIS) to maximize the beneficial impact of energy efficiency measures.
Article
Energy & Fuels
Sabryna V. Fernandes et al.
Summary: The digitalization of the electrical sector is crucial for asset management and providing sustainable and quality services. The concept of digital twin, which involves virtual replicas and real-time monitoring, offers the potential to improve grid operations through AI and advanced technologies.
Review
Energy & Fuels
Mohammadali Kiehbadroudinezhad et al.
Summary: Using renewable energy instead of fossil fuels is a great solution to reduce greenhouse gas emissions. When designing clean power microgrids, it is important to consider the economic aspects and reliability. Hybrid microgrids based on wind and solar energy offer cost-effective and reliable power generation systems.
Article
Construction & Building Technology
Haidar Hosamo Hosamo et al.
Summary: This research proposes a Digital Twin predictive maintenance framework for Air Handling Units (AHU) in buildings. The framework overcomes limitations of current facility maintenance management systems and utilizes Digital Twin technology along with Building Information Modeling, Internet of Things, and semantic technologies to create a better maintenance strategy. The results demonstrate the effectiveness of the framework in detecting faults and predicting the future state of AHU components, leading to energy savings.
ENERGY AND BUILDINGS
(2022)
Article
Engineering, Electrical & Electronic
Ge Cao et al.
Summary: This paper analyzes the impact of false data injection attack (FDIA) on distributed control and proposes a distributed synchronous detection method that only requires local communication to recognize FDIA. A feedback function is also designed to adapt to delayed communication and different attack signals.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Review
Engineering, Electrical & Electronic
Faria Kamal et al.
Summary: This paper provides a comprehensive review of model predictive control (MPC) in networked microgrids (MGs) and highlights its application in grid-level control. From voltage regulation and frequency control to power flow management and economic optimization, MPC has emerged as a promising alternative to traditional methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
P. Rajesh et al.
Summary: In this manuscript, a novel control scheme, known as Improved Bat search Algorithm with Moth Flame Optimization Algorithm (IBatMFOA), is proposed to enhance the power quality of renewable energy sources. The proposed method combines the Improved Bat Algorithm and Moth Flame Optimization Algorithm to improve the efficiency of the system. By reducing power variation and optimizing the operation cost, the proposed technique achieves a better power quality for renewable energy sources.
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2022)
Article
Automation & Control Systems
Xiaoli Chen et al.
Summary: This paper presents the design of an event-triggered fuzzy resilient controller for networked nonlinear DC microgrid system, which can achieve the desired performance in the presence of denial-of-service attacks.
Article
Management
Yu-Chung Tsao et al.
Summary: The study presents a decentralized microgrid model that considers blockchain and smart contract technology, assessing the cost-benefit analysis and decision-making process of a power distribution company and an electricity prosumer.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Green & Sustainable Science & Technology
Monika Sandelic et al.
Summary: Microgrids are a technology that can provide sustainable and efficient electrical energy solutions by utilizing distributed energy resources to supply local loads and improve network reliability. This paper discusses the importance of reliability-oriented design for microgrids that heavily rely on renewable energy-based, power electronics-interfaced distributed energy resources. The main areas of design improvements highlighted in this overview are the sizing and scheduling of distributed energy resources, as well as forecasting and optimization methods. The paper also emphasizes the need to include wear-out failure of power electronics in standard reliability assessment methods, as previous field experience has shown the adverse impact of such failures on power electronics-dominated systems. The findings of this paper provide a foundation for the development of new procedures for reliability-oriented design and planning of future, power electronics-dominated microgrids.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Green & Sustainable Science & Technology
Louis Polleux et al.
Summary: This study provides an overview of the challenges in reducing carbon emissions and electricity costs in industry and presents the characteristics and conceptual definition of reliability-constrained microgrids. The study reviews the challenges of accounting for the dynamical behavior of fossil equipment, PV, and storage systems, and introduces applicable control strategies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Chemistry, Analytical
Giovanni Battista Gaggero et al.
Summary: This paper analyzes the vulnerabilities of BESS and proposes an anomaly detection algorithm using a particular neural network architecture called the autoencoder to detect dangerous working conditions.
Article
Chemistry, Analytical
Yousof Barzegari et al.
Summary: This paper investigates the problem of false data injection attack (FDIA) detection in microgrids and proposes an algorithm based on sliding mode observers to estimate the states of neighbor agents. The proposed control scheme improves system resilience by using attack-resilient consensus rules. Through real-time simulation and experimental verification, the results show that the algorithm can effectively detect FDI attacks and protect consensus deviation from attacks.
Article
Chemistry, Multidisciplinary
Mohammad Faghiri et al.
Summary: This study proposes a model for multi-carrier micro-grids based on multi-carrier energy systems, which can reduce operational costs and computational complexity by considering various distributed energy resources and simulating the uncertainty of stochastic parameters.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Zhiping Cheng et al.
Summary: This paper proposes a multi-time scale stochastic optimization model for grid-connected microgrids to address uncertainties from renewable distributed energy sources, load demand, and electric vehicles using Monte Carlo method and rolling optimization strategy.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Computer Science, Information Systems
Abdulrahman Takiddin et al.
Summary: This article investigates data-driven detection schemes against stealth cyber-attacks in DC microgrids and the performance improvement achieved by fusing multiple features for training. The study reveals that adopting an unsupervised deep recurrent autoencoder anomaly detection scheme offers superior detection performance, and fusing current and voltage data for training can further improve the performance.
IEEE SYSTEMS JOURNAL
(2022)
Article
Energy & Fuels
Divya R. Nair et al.
Summary: This paper proposes an artificial intelligence-based Icoscp control algorithm for power sharing and power quality improvement in smart microgrid systems. By interconnecting microgrids with a power grid, it can solve the power quality issues in the grid and enhance the intelligence of the power system. Through simulation and hardware prototype implementation, the feasibility and effectiveness of the proposed control algorithm are demonstrated.
Article
Thermodynamics
Emma Soderang et al.
Summary: This study explores the feasibility of using a physics-based combustion engine model and an electrical power plant model in real-time co-simulation. By simplifying the detailed engine model into a fast-running model and coupling it with the power plant control model, real-time coordinated control and predictive simulation can be achieved.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Electrical & Electronic
Jiefeng Hu et al.
Summary: This article provides an overview of the state-of-the-art of parallel power converter control in microgrid applications, highlighting and analyzing various control schemes. The hierarchical control structure and future trends are also reviewed and discussed.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Green & Sustainable Science & Technology
Seyed Hasan Mirbarati et al.
Summary: In recent years, the penetration of renewable energy resources (RESs) in power systems has been increasing significantly due to the effect of fossil fuels on global warming, the exhaustion of oil fields, and the lucrative impacts of RESs. This paper proposes an optimal solution for the energy management of a microgrid by considering a comprehensive study, aiming to minimize the microgrid's total cost by considering the microgrid's emission cost and technical constraints.
Article
Engineering, Chemical
Muhammad Zeshan Afzal et al.
Summary: This study implemented ANFIS to solve the problem of system resilience in synchronized and islanded grid mode, and optimized the PV and wind power generation systems to improve system efficiency and battery life.
Article
Mathematics
Fahad Alsokhiry et al.
Summary: This paper proposes a cyber-detection method based on an offense-defense game model to protect smart electric vehicles developed using wireless sensor network technology from malware attacks. The method can detect the probability of malware attacks and presents a dynamic model based on traffic flow density to address the issues caused by these attacks.
Review
Green & Sustainable Science & Technology
Abdollah Younesi et al.
Summary: This paper reviews the challenges and opportunities for evaluating and improving the resilience of the power system, emphasizing appropriate criteria and short and long-term plans. Practical methods and common metrics are discussed, and it is highlighted that microgrids have the potential to enhance the resilience of the power system.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Green & Sustainable Science & Technology
Haftu Tasew Reda et al.
Summary: This paper provides a comprehensive review of the recent advances in false data injection attacks, with a particular focus on adversarial models, attack targets, and impacts on the Smart Grid infrastructure. It aims to offer a thorough understanding of the incumbent threats affecting the entire spectrum of the Smart Grid.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Chemistry, Analytical
Gogulamudi Pradeep Reddy et al.
Summary: This article introduces the concept of smart microgrids and their application in modern urban energy communities, with a focus on the implementation and communication mechanisms of interoperable smart microgrids (ISMs). A modern architecture using LoRa technology to establish a communication network for ISMs is proposed.
Review
Chemistry, Multidisciplinary
Maulshree Singh et al.
Summary: Digital Twin (DT) technology is a promising technology driving digitization in various industries. By enabling real-time bidirectional data exchange between digital and physical twins, DT brings benefits such as cost reduction, increased productivity, and improved decision making. This paper explores the applications and opportunities of DT implementation in 13 different industries.
APPLIED SCIENCES-BASEL
(2022)
Article
Construction & Building Technology
Jianing Luo et al.
Summary: This study proposes a quantitative approach to assess the security of microgrids by quantifying the dynamic load of power consumers. By developing generic transient models, the startup performance of motors and the blackout risk of microgrids can be effectively quantified. The results show that the approach and models can be used to assess microgrid security, and recommendations for motor/chiller capacity are provided.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Energy & Fuels
Isaias Gonzalez et al.
Summary: This paper presents a monitoring system for visualizing the operation of a Lithium-ion Battery (LiB), using Internet of Things (IoT) technology for data acquisition and analysis. The feasibility and successful performance of the system are demonstrated through experimental data.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Hamed Aziz et al.
Summary: This paper proposes a three-stage framework for microgrid participation in the electricity market, considering economic, technical, and environmental indicators. The study demonstrates that the presence of energy storage systems and demand response programs, as well as a reconfigurable topology, can reduce the marginal prices of microgrids and the market clearing price.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Hamza Abunima et al.
Summary: Carbon emissions resulting from urbanization and population growth worldwide are leading to climate change and global warming. To address the challenges posed by the intermittent behavior of renewable energy sources (RES), microgrid (MG) technology is introduced and studied. This paper proposes a two-stage stochastic optimization method integrated with a novel artificial neural network (ANN)-based prediction model to solve the scheduling issue of MG in islanded mode.
Article
Energy & Fuels
Abdullah Umar et al.
Summary: The integration of distributed generations, battery storage, and smart meters utilizing blockchain technology has enabled the development of a secure and efficient energy management platform for microgrid systems. Peer-to-peer energy intra-trading has incentivized users to change their energy usage patterns, resulting in energy savings and self-sufficiency.
Review
Energy & Fuels
Jianguo Ding et al.
Summary: Smart grids are governed by advanced computing, control technologies, and networking infrastructure, but compromised cybersecurity poses significant risks to energy systems and national security. This review paper provides a comprehensive understanding of cyberattacks' impact on the smart grid ecosystem and explores potential cybersecurity solutions using blockchain and Artificial Intelligence techniques.
Review
Energy & Fuels
Belqasem Aljafari et al.
Summary: Smart microgrids combine IoT designs and technologies to create, regulate, monitor, and protect the microgrid. They can operate independently or in conjunction with the electric grid and are suitable for various users and communities. IoT provides optimal energy management and control solutions. Hybrid AC/DC microgrids have advantages over AC and DC microgrids. The paper also discusses the latest technologies and trends in hybrid microgrid research.
Review
Energy & Fuels
Rafaela Bortolini et al.
Summary: This paper reviews the applications of digital twins for building energy efficiency, analyzes research trends, and identifies research gaps and potential future research directions.
Review
Energy & Fuels
Romain Mannini et al.
Summary: Microgrids and networked microgrids are efficient ways to integrate distributed energy resources into power distribution systems, enhancing grid resilience and maintaining power quality. However, challenges exist in managing these resources effectively. This paper surveys recent advances in smart management of microgrids and networked microgrids, highlighting the emerging alternatives of model-based predictive control, data-driven strategies, game theory, and artificial intelligence.
Review
Computer Science, Information Systems
Raymon van Dinter et al.
Summary: This study is the first systematic literature review on predictive maintenance using Digital Twins, analyzing 42 primary studies to identify various aspects of predictive maintenance with Digital Twins, contributing to the development of predictive maintenance methods in academia and industry.
INFORMATION AND SOFTWARE TECHNOLOGY
(2022)
Article
Automation & Control Systems
Sasan Sattarpanah Karganroudi et al.
Summary: The maturity and competitiveness of renewable energy systems are reshaping the energy production market. Standalone hybrid energy systems generate new opportunities for socio-economic development in off-grid areas. However, technical challenges such as transportation logistics, assembly, monitoring, and maintenance need to be addressed. This study applies augmented reality to improve assembly precision and safety, providing guidance and assistance during the assembly process.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Automation & Control Systems
Gyujin Na et al.
Summary: This paper proposes a probing signal-based replay attack detection method that avoids control performance degradation. It introduces a disturbance observer (DOB) approach to compensate for the effect of the probing signal and detect anomalies by looking at the output of the DOB instead of the system. The method has been validated through simulation and experimental results on vehicle platooning and unmanned ground vehicle system.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Review
Green & Sustainable Science & Technology
Farshid Norouzi et al.
Summary: This study takes a comprehensive, multidisciplinary approach to examine the barriers hindering the development of Smart MicroGrids and considers how these barriers interact. The research maps out technical, regulatory, market, social, and institutional barriers for different actors and makes recommendations for future research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Engineering, Electrical & Electronic
Mengxiang Liu et al.
Summary: This paper proposes a converter-based moving target defense strategy to defend against deception attacks in DC microgrids by proactively perturbing the primary control gains. Experimental results demonstrate the effectiveness of the proposed strategy.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Jairo Giraldo et al.
Summary: This paper proposes a decentralized moving target defense framework called DMTDR, which increases the security of microgrids by introducing uncertainty and data replication. The framework utilizes IoT devices to replicate relevant signals and randomly transmit them through independent communication channels. It does not require central coordination and does not degrade system performance. The framework also introduces a decentralized attack detection strategy that can detect malicious data using only local information.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Jieyu Lei et al.
Summary: This paper presents a novel approach to enhance the resilience of smart-grid power systems against load redistribution attacks. It introduces the concept of a chain of defense to dynamically and flexibly identify critical branches, and proposes a reinforcement learning framework to determine the most effective chain of defense. Experimental evaluations demonstrate that the proposed approach provides more comprehensive and effective mitigation against the damaging effects of attacks compared with conventional methods.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Green & Sustainable Science & Technology
Ramona Rupeika-Apoga et al.
Summary: This study investigates the main barriers to sustainable digital transformation for micro-, small-, and medium-sized enterprises (MSMEs). The study identifies IT security issues and the shortage of specialists in the external labor market as the most important barriers. The findings can help MSMEs' managers and owners, policymakers, and practitioners understand how to overcome these barriers.
Review
Energy & Fuels
Gokul Sidarth Thirunavukkarasu et al.
Summary: The rapid urbanization, population growth, and technological advancements in the past decade have led to a significant increase in energy demand worldwide. To mitigate environmental impacts and achieve socio-economic benefits, there is a need to integrate distributed energy systems into conventional electricity grids. However, the intermittent and stochastic nature of renewable energy generation poses challenges in energy management. This systematic review explores different optimization techniques used in microgrid energy management, including forecasting, demand management, economic dispatch, and unit commitment. The review findings suggest that mixed integer programming techniques are commonly used due to their simplicity and effectiveness. Multi-agent-based techniques and meta-heuristics algorithms outperform conventional techniques in terms of efficiency, given the decentralized nature of the energy management problem in microgrids. Additionally, advanced optimization techniques are underutilized in forecasting and demand management, highlighting the need for more accurate algorithms. The article concludes by presenting the importance of developing end-to-end energy management solutions for microgrid systems and implementing transactive/collaborative energy sharing functionalities in community microgrids.
ENERGY STRATEGY REVIEWS
(2022)
Review
Energy & Fuels
Saima Ishaq et al.
Summary: This paper provides an in-depth literature review on the different control structures of microgrids. It categorizes microgrids based on various criteria and discusses hierarchical controls and control strategies for integrating renewable energy resources. The paper also analyzes different control methods and addresses major issues in the current infrastructure.
Article
Energy & Fuels
Wei Jiang et al.
Summary: In this study, a stochastic optimization strategy was proposed for participating in energy market operations considering demand response. A scheduling model was presented for the operation of energy carriers and reserves using the developed water wave optimization algorithm. The results showed a decline in operating costs through responsive load participation and thermal energy storage system. The study also revealed a correlation between the electricity price and natural gas consumption, indicating the need for simultaneous optimization of multi-carrier energy grids.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Hongxun Hui et al.
Summary: This paper proposes a coordination control method for isolated microgrids to tap flexibility from both distributed generators (DGs) and virtual power plants (VPPs), aiming to improve stability and enhance resilience.
Article
Energy & Fuels
Fernanda Moura Quintao Silva et al.
Summary: This paper presents the development of a new custom supervisory system based on Internet of Things (IoT) and compares it with the current supervisory system. The results show that the new system is more flexible, easily modified, cost-effective, and more fault-resilient.
Proceedings Paper
Energy & Fuels
Zhi Jin (Justin) Zhang et al.
Summary: This article discusses the development of modernized traditional power grids under IT technology, introduces the differences between DC grids and traditional AC grids, and proposes a new type of false data injection attack. By analyzing and evaluating LR attacks on DC grids, it is shown that control and system conditions play an important role in the success of LR attacks.
2022 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE)
(2022)
Review
Energy & Fuels
Arman Goudarzi et al.
Summary: The rapid growth of population and energy demand has led to efforts in making the electrical grid more intelligent. The Internet of Things (IoT) has emerged as a crucial technology for smart energy grids, but security issues need to be addressed. In the future, advanced secure systems based on blockchain techniques will be necessary.
Review
Computer Science, Information Systems
Mohammad Hamidieh et al.
Summary: This paper provides a comprehensive review of two main categories of microgrid-based resilience enhancement approaches in distribution systems, covering various technologies and techniques to improve the resilience of the power system.
Proceedings Paper
Computer Science, Information Systems
Nina Kharlamova et al.
Summary: Battery energy storage systems (BESSs) are important for integrating renewable energy sources into the electrical grid. In this study, a BESS digital twin is proposed to provide battery behavior forecasts for intelligent monitoring, fault detection, battery management, and cyberattack detection. The model utilizes real frequency data to evaluate its accuracy in predicting the state of charge (SOC) of a utility-scale BESS.
SYSCON 2022: THE 16TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON)
(2022)
Article
Computer Science, Information Systems
Shiva Poudel et al.
Summary: The electric power system is undergoing a major transition due to the increased use of distributed energy resources (DERs) and distribution automation. Different applications and systems like DERMS are being developed to optimize and coordinate the operation of DERs. In order to attract DER participation and ensure coordinated operation, interoperable systems and secure information exchange are essential. The development of a modeling environment (ME) to simulate interactions between DERMS and simulated DERs is introduced in this paper.
Article
Computer Science, Information Systems
Mohammed Anis Benblidia et al.
Summary: Data centers play a significant role in the connected and intelligent world, but they consume massive amounts of energy. This paper proposes a two-stage optimization approach to manage the power allocation to data centers in a microgrid-cloud architecture and to minimize the energy cost of microgrids. Through modeling and simulation, the results demonstrate that this approach is more efficient than existing methods and promotes the usage of green energy.
Proceedings Paper
Computer Science, Theory & Methods
Yingchao You et al.
Summary: This paper focuses on the recent advances of deploying digital twin technology in predictive maintenance (PdM). The techniques and applications in PdM are analyzed, and the perceived benefits of using digital twins are summarized. The challenges and opportunities for future research, including framework standardization, high-fidelity models, holistic evaluation methods, and multi-component, multi-level modeling, are discussed.
3RD INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING
(2022)
Article
Engineering, Electrical & Electronic
Andrea Pinceti et al.
Summary: A nearest-neighbor-based detector against load redistribution attacks is proposed, which can scale from small-scale to very large-scale systems while ensuring consistent detection performance. The detector is extensively tested on a realistic large-scale system to evaluate its performance against various types of attacks, and a statistical test is introduced to identify and localize maliciously modified loads.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2022)
Review
Chemistry, Analytical
Abozar Nasirahmadi et al.
Summary: Digitalization has revolutionized the agricultural sector, enabling the application of advanced technologies and data processing techniques. Digital farming uses available information to tackle challenges in food security, climate protection, and resource management. The concept of digital twin has great potential in enhancing productivity and efficiency in agriculture. This review presents a framework of digital twins in various aspects of agriculture, such as soil, irrigation, robotics, farm machineries, and food post-harvest processing, and discusses the use of artificial intelligence, big data, and simulation in digital twins for agriculture.
Article
Energy & Fuels
D. G. Rosero et al.
Summary: The way to organize the generation, storage, and management of renewable energy and energy consumption features has become increasingly important in recent years. This article discusses tasks associated with a microgrid cluster under a machine learning perspective, focusing on elements considered to define a cloud-based architecture for real-time energy management using machine learning techniques.
Article
Computer Science, Hardware & Architecture
Simona-Vasilica Oprea et al.
Summary: The consumption data from smart meters and complex questionnaires can reveal electricity consumers' willingness to adjust their behavior to reduce electricity usage peak and release stress in the power grid. An innovative methodology is proposed to extract valuable information from the increasing data volume to support the enforcement of tariff and demand response strategies.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Review
Energy & Fuels
Farzam Nejabatkhah et al.
Summary: This paper thoroughly discusses the cyber-security issues of smart microgrids, analyzing the potential economic and physical impacts of network system vulnerabilities, especially in power electronics-intensive microgrids. It focuses on the challenges posed by false data injection attacks and their potential threats and impacts on smart microgrids, providing corresponding defense strategies.
Article
Automation & Control Systems
Daranith Choeum et al.
Summary: This article introduces a new type of load redistribution attack on a closed-loop conservation voltage reduction (CVR) in an unbalanced three-phase distribution network. The attack strategy aims to maximize three-phase active power flow while ensuring normal CVR operation through the injection of malicious data into smart meters via a bilevel optimization problem. The bilevel optimization problem is eventually transformed into a single-level optimization problem based on Karush-Kuhn-Tucker conditions.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Automation & Control Systems
Peng Zhuang et al.
Summary: Blockchain technology, as an immutable distributed ledger, has garnered significant interest in the application of cybersecurity in the smart grid. Despite efforts to utilize blockchain in enhancing smart grid cybersecurity, a comprehensive survey on its application and technological aspects is lacking. This survey aims to provide insights on the latest ideas, architectures, and implementation techniques relevant to blockchain application in smart grid cybersecurity.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Mohammed Anis Benblidia et al.
Summary: This paper investigates how to address the issue of cloud data center power consumption in the context of a smart grid-cloud architecture. By modeling the problem as a non-cooperative game and proving the existence and uniqueness of Nash equilibrium, the authors were able to solve the nonlinear optimization problem using Lagrange multipliers and KKT conditions. Results show that a strategy based on renewable energy usage, number of critical running applications, and workload charge can significantly reduce carbon emissions and improve power load rate.
COMPUTER COMMUNICATIONS
(2021)
Article
Thermodynamics
Shoujun Huang et al.
Summary: This paper introduces a new planning model based on renewable energy uncertainty and demand response, aiming to minimize the total cost of the electricity market. By incorporating energy storage systems and time-of-use demand response programs, the power flow in the microgrid is effectively managed to ensure essential load support and voltage stability.
Article
Computer Science, Theory & Methods
Aron Kondoro et al.
Summary: This paper investigates the impact of IoT communication security protocols on the real time requirements of smart grid functions. Results show that the increase in delay was within recommended standards for microgrid monitoring, but exceeded recommended standards for control operations.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Engineering, Electrical & Electronic
Subham Sahoo et al.
Summary: This article proposes a multilayer resilient controller to detect and mitigate Man-In-The-Middle attacks in order to ensure the security of DC microgrids. The modeling of MITM attacks, detection laws based on diverging factors, and event-driven strategy for removing malicious signals are discussed. The effectiveness of the proposed resilient mechanism is theoretically verified and validated through simulations and experiments.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Ying Wu et al.
Summary: With the rapid development of renewable energy resources and the Internet of Things, traditional one-way power flow is transitioning to bidirectional flow, and digitalization and decentralization are essential for achieving a transactive Energy Internet (EI). The article explores how IoT drives digitalization and how blockchain empowers decentralization in transactive EI, as well as discussing key infrastructures and challenges in implementing digitalization and decentralization.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Review
Green & Sustainable Science & Technology
Tanveer Ahmad et al.
Summary: This study focuses on the use of AI techniques in the energy sector, exploring AI's advantages in solar and hydrogen power generation, supply and demand management control, and recent technological advances. The findings show that AI is becoming a key enabler in enhancing operational performance and efficiency in the energy industry to remain competitive in a cutthroat environment.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Jose Maurilio Raya-Armenta et al.
Summary: Islanded microgrids (IMGs) are a promising solution for reliable and environmentally friendly energy supply. The energy management system (EMS) of IMGs has been attracting attention, especially from economic and emissions point of view. Six main aspects of EMS optimization of IMGs include framework, time-frame, uncertainty handling approach, optimizer, objective function, and constraints, with future trends focusing on improved models and advanced techniques.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Review
Environmental Sciences
Maria E. Mondejar et al.
Summary: Digitalization offers the potential for societal and environmental benefits through access to unexploited big data networks. Smart systems connected to the internet of things present unique opportunities to strategically address challenges related to the United Nations Sustainable Development Goals, ensuring a fair, environmentally sustainable, and healthy society. Additionally, digitalization can contribute to sustainable food-water-energy practices and enhance citizen health and well-being through digital access to care.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Energy & Fuels
Taha Abdelhalim Nakabi et al.
Summary: This study investigates the performance of various deep reinforcement learning algorithms in enhancing the energy management system of a microgrid. A novel microgrid model is proposed and seven algorithms are implemented and compared. The results show significant differences in convergence to optimal policies among the algorithms, with the modified asynchronous advantage actor-critic algorithm achieving the highest model performance and convergence to near-optimal policies.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Review
Optics
Jianghao Xiong et al.
Summary: With advancements in technology, AR and VR have become the next-generation display platforms, but unprecedented challenges in optical engineering require the use of holographic optical elements and lithography-enabled devices. These devices improve the performance of AR and VR, opening up new possibilities for future displays.
LIGHT-SCIENCE & APPLICATIONS
(2021)
Article
Green & Sustainable Science & Technology
Vinoth Kumar Ponnusamy et al.
Summary: The role of energy in achieving the Sustainable Development Goals is crucial, with smart grid and big data analytics playing a significant role in enhancing energy management practices for sustainability.
Article
Computer Science, Software Engineering
Arooj Arif et al.
Summary: Electricity theft causes significant revenue loss for power utilities, increases production costs, and impacts the overall economy. The article proposes an ET detection model using the State Grid Corporation of China dataset, utilizing interpolation, data balancing, feature extraction, and classification steps to improve model efficiency.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2021)
Review
Chemistry, Multidisciplinary
Norziana Jamil et al.
Summary: Vulnerabilities in microgrid electrical systems can lead to a wide range of attacks that impact critical infrastructure and economy; despite understanding the consequences of exploiting vulnerabilities, research on microgrid cybersecurity is inadequate. This paper comprehensively reviews microgrid cybersecurity, provides solutions, and suggests future research directions.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Wen Tian et al.
Summary: This article introduces a new SDN-based dynamic bounded rational honeypot-APT game model for defense and attack in IIoT. Experimental results show that bounded rationality affects strategy selection and reduces utilities for both defenders and attackers, with our strategy outperforming existing work in defensive performance.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Bishoy E. Sedhom et al.
Summary: Renewable energy resources are utilized to meet huge electricity demand, with smart microgrids implementing demand-side management for energy savings and efficiency maximization. However, challenges such as voltage and frequency regulations, CO2 emissions, and stochastic nature of renewable energy sources still persist. Innovative control strategies are required to address these challenges, with Internet of Things technology providing adaptive monitoring for economic and secure microgrid operation. A proposed advanced demand-side management and control strategy, incorporating genetic algorithms and PID-based control schemes, aims to optimize energy management and regulate voltage and frequency efficiently in a microgrid setting. Experimentation with a lab-scale prototype demonstrates the effectiveness of the proposed strategy in reducing energy costs, emissions, and peak-to-average ratio while ensuring quality of service for customers.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Review
Engineering, Electrical & Electronic
Ghazanfar Shahgholian
Summary: This article provides a literature review on microgrid technology, focusing on the applications and types of microgrid, the objectives of microgrid control, methods to improve small signal stability, and load frequency control in microgrids.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
Review
Energy & Fuels
Gaurav Chaudhary et al.
Summary: A microgrid is an independent energy system that can operate in parallel with or independently from the main power grid, integrating renewable energy generation and energy storage systems. However, the efficient integration of energy storage systems faces various challenges and requires the support of energy management systems.
Review
Energy & Fuels
Amrutha Raju Battula et al.
Summary: To address the increasing complexity of demand, conventional grids are incorporating communication technology like advanced metering with sensors, demand response, energy storage systems, and electric vehicles. Microgrids are proposed to maintain local energy balance and reliability, providing resilient operation and intelligent energy management techniques to control power exchange. This paper gives an overview of microgrids, their operations, energy management approaches, and the key role of energy management systems in maintaining balance and contributing to profit.
Review
Energy & Fuels
Georgios Falekas et al.
Summary: The study aims to redefine the concept of next-generation digital twin, establish a specialized denotation for EM manufacturing, PM, and control, and provide a specific definition catered to PM for future endeavors. By reviewing latest descriptions and technological advancements, the potential benefits and future prospects for PM in AI techniques are highlighted.
Article
Management
Gunther Gust et al.
Summary: The study investigated the performance of different operational strategies in real-world conditions of microgrid operation. Proactive strategies generally outperform reactive strategies, but reactive strategies may perform better under short control intervals or moderate prediction errors. The impact of demand charges and export limits on microgrid performance is significant, and the relationship between forecast errors and demand charges may benefit proactive strategies with longer control intervals.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Huihui He et al.
Summary: This paper introduces a defensive strategy against coordinated attacks on the power grid, which is validated through case studies on multiple power systems using a tri-level optimization model and algorithm, showing its effectiveness and potential.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Chemistry, Analytical
Jenniffer S. Guerrero-Prado et al.
Summary: The paper introduces a Data Analytics/Big Data framework applied to AMI data in Smart Cities, encompassing architectural view, methodological view, and human expertise as a binding element. This framework aims to support optimal decision-making and transform knowledge into wisdom efficiently.
Review
Engineering, Electrical & Electronic
Behrooz Adineh et al.
Summary: This article provides a comprehensive review of harmonic mitigation methods in microgrids, with control strategies classified into primary, secondary, and tertiary methods, and outlines global trends applicable to today's smart grid applications.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Computer Science, Information Systems
Wei Dong et al.
Summary: The study introduces a new learning-based decision-making framework for economic energy dispatch of an islanding microgrid using cloud-edge computing architecture, which avoids the prediction of multiple stochastic variables and design of sophisticated regulation strategies or reward policy functions.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Nasser Hosseinzadeh et al.
Summary: This article presents the development of a platform for real-time monitoring of multi-microgrids, which is interoperable, scalable, and includes a two-way communication channel and an informative software dashboard for monitoring DERs.
Article
Computer Science, Information Systems
Abdellatif Elmouatamid et al.
Summary: This paper introduces a generalized predictive control strategy for energy management in micro-grid systems, aiming to efficiently connect electricity generators and consumers to predict the most suitable energy flow management actions.
Proceedings Paper
Automation & Control Systems
Kyuchan Park et al.
Summary: This paper introduces APT-style cyberattack testing for distributed energy resources (DER) in cyber-physical environments, using real-time DER simulators and cyber systems to mimic attacks and validate the security testbed's feasibility.
2021 IEEE DESIGN METHODOLOGIES CONFERENCE (DMC)
(2021)
Proceedings Paper
Computer Science, Software Engineering
Ricardo M. Czekster et al.
Summary: The study proposes a method to convert aging and rejuvenation models into sequential counterparts for computing transient state probabilities. By applying this method to a specific security attack scenario and large campus micro-grid case studies, it demonstrates the ability to support survivability computation.
2021 IEEE INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING WORKSHOPS (ISSREW 2021)
(2021)
Article
Green & Sustainable Science & Technology
Quynh T. Tran et al.
Summary: Designing an independent and economically practical microgrid system is necessary and plays an important role in remote areas where connecting to the primary electricity grid is expensive and challenging. Using HOMER software can aid in designing such systems to meet the energy needs of remote areas. Through case studies and analysis, a hybrid system suitable for remote areas can be effectively designed.
CLEAN TECHNOLOGIES
(2021)
Proceedings Paper
Green & Sustainable Science & Technology
Nishant Bilakanti et al.
Summary: With the increasing penetration of distributed energy resources (DERs), utilities are looking for alternative solutions to traditional infrastructure upgrades. This paper proposes a priority-based AC optimal power flow algorithm to control DERs in a DERMS platform, which can reduce DER curtailment and easily switch between controlling DERs based on interconnection order and minimizing total system curtailment.
2021 13TH ANNUAL IEEE GREEN TECHNOLOGIES CONFERENCE GREENTECH 2021
(2021)
Article
Computer Science, Information Systems
Jay Johnson et al.
Summary: The American distributed energy resource (DER) interconnection standard, IEEE Std. 1547, was updated in 2018 to include standardized interoperability functionality. The certification standard IEEE 1547.1 was also revised in 2020 with test procedures for evaluating the IEEE 1547-2018 interoperability requirements. An open-source framework was developed to evaluate DER interoperability, allowing DER vendors, utilities, certification laboratories, and research institutions to better study DER interoperability and cybersecurity.
Article
Computer Science, Information Systems
Riaz Khan et al.
Summary: This paper discusses the importance of the concepts of microgrid, smart grid, and virtual power plant in addressing the challenges of climate change and promoting the use of renewable energy in the 21st century, as well as transforming microgrids into virtual power plants or smart grids through modern technology. Understanding the uses and benefits of these systems and improving control methods and automation are essential to ensure the security and relevance of these systems.
Review
Energy & Fuels
Sadaqat Ali et al.
Summary: The depletion of fossil fuels and the need for environmental protection have led to an energy crisis. Scientists have made positive developments in the past decade, introducing renewable energy sources and the concept of microgrids. While DC microgrids are appreciated for their efficiency and reliability, they are still relatively new in terms of grid architecture and control systems. Energy management systems are essential for optimizing the use of distributed energy resources in a secure, reliable, and intelligent manner.
Review
Computer Science, Information Systems
Shahamat Shahzad Khan et al.
Summary: This paper focuses on different types of faults in dc-dc converters, analyzing main failure spots and mechanisms, and presents a comprehensive review of fault mode analysis, fault diagnosis signals and algorithms, and fault tolerant control in various dc-dc topologies. The research provides a useful design guideline for improving the reliability of all forms of dc-dc converters.
Article
Computer Science, Information Systems
Patrick Wlazlo et al.
Summary: Man-in-The-Middle (MiTM) attacks pose threats to smart grids by compromising power system operations through false data injection and false command injection. Researchers are designing and implementing multi-stage MiTM intrusions to demonstrate the impact of such attacks and develop detection mechanisms using multiple alerts. This work will help stakeholders defend against inconspicuous MiTM attacks in smart grid systems.
IET CYBER-PHYSICAL SYSTEMS: THEORY & APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Mohammad Ghiasi et al.
Summary: The study uses Hilbert-Huang transform methodology and blockchain-based ledger technology to detect false data injection attacks in a microgrid system, enhancing security in smart DC-MGs. By analyzing signal details, the proposed model offers a more precise and robust detection mechanism against attacks, improving data exchange security.
Article
Engineering, Electrical & Electronic
Shantanu Chakrabarty et al.
Summary: The paper discusses the application of phase shifters in power grids and the vulnerability of the control system to cyber attacks. It proposes an algorithm to detect these attacks, which is validated on the IEEE 118-bus system.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Review
Energy & Fuels
Sheetal Chandak et al.
Summary: A microgrid is a small-scale power system that combines distributed power generation, power storage, and load, with a focus on integration and operational characteristics. The article explores the challenges and modifications required to integrate microgrids in developing countries like India, along with reviewing control strategies from microgrid testbeds globally.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Review
Computer Science, Information Systems
Muhammad Hammad Saeed et al.
Summary: The concerns regarding fuel exhaustion, electricity shortages, and global warming due to the global energy crisis are leading to increasing interest in clean and renewable energy sources such as solar and wind energy. Microgrids are emerging as a key research area as an essential interface for connecting distributed generators based on renewable energy resources to the power system. Modern research in microgrids is focusing on integration at the load level, highlighting the inadequacies of traditional power grids.
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Morteza Ghobakhloo
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Ahmed Abdelwahab et al.
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(2020)
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Yasin Kabalci et al.
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Zhongwen Li et al.
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RENEWABLE & SUSTAINABLE ENERGY REVIEWS
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IEEE TRANSACTIONS ON SMART GRID
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IEEE TRANSACTIONS ON SMART GRID
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Energy & Fuels
Marilyn A. Brown et al.
WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
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Engineering, Electrical & Electronic
Saroja Kanti Sahoo et al.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
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Computer Science, Information Systems
Arunmozhi Manimuthu et al.
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Naggar H. Saad et al.
AIN SHAMS ENGINEERING JOURNAL
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IEEE POWER & ENERGY MAGAZINE
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Sarmad Majeed Malik et al.
IET GENERATION TRANSMISSION & DISTRIBUTION
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PROCEEDINGS OF THE IEEE
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Bilal M. Eid et al.
IEEE SYSTEMS JOURNAL
(2016)
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Tomislav Dragicevic et al.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2016)
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Green & Sustainable Science & Technology
Gokay Bayrak et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
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Green & Sustainable Science & Technology
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IEEE TRANSACTIONS ON SMART GRID
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Automation & Control Systems
Jianfang Xiao et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2015)
Review
Green & Sustainable Science & Technology
A. M. Abd-el-Motaleb et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
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Review
Green & Sustainable Science & Technology
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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
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Hiroaki Kakigano et al.
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