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Article
Computer Science, Information Systems
Navid Vafamand et al.
Summary: This article proposes an improved augmented-Kalman filter to estimate the state vector and disturbance inputs and a nonlinear backstepping controller with a command filter to design the control law. The developed approach is able to estimate the external disturbances, which improves the state estimation performance and provides extra information about the power system.
IEEE SYSTEMS JOURNAL
(2023)
Article
Automation & Control Systems
Mohammad Sadegh Orfi Yeganeh et al.
Summary: This article proposes a distributed intelligent secondary control approach for power electronic-based ac microgrid using brain emotional learning-based intelligent controller (BELBIC). The BELBIC controller is capable of quickly learning and handling the complexity, nonlinearity, and uncertainty of the microgrid. It is fully model-free, regulating voltage amplitude and frequency deviations without prior knowledge of the system model and parameters. The proposed approach ensures low steady-state variations with higher bandwidth and accurate power-sharing through the droop mechanism. Additionally, primary control is achieved using robust finite control set-model predictive control and droop control to optimize the system's frequency bandwidth and power-sharing among distributed generations. Experimental tests conducted on a hardware-in-the-loop testbed validate the effectiveness of the proposed control strategy for various scenarios.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Ali Rafiee et al.
Summary: In this article, a multi-input multioutput robust PI controller is designed for zero-level control of ac microgrids. The controller can operate properly in both high and medium frequencies without considerable fluctuations and overshoots at the output. The proposed strategy successfully attenuates adverse effects of unknown disturbances on the load voltage of islanded microgrids.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Xiangke Li et al.
Summary: The paper introduces paralleled BILCs for HMG, which provide a flexible and reliable power interaction between ac and dc subgrids with high power density. A DUC is proposed to achieve resilience reinforcement and global economic operation. The economic droop controls f(ac) - lambda(ac) and v(dc) - lambda(dc) are employed for ac DGs and dc DGs to decrease generation expenses, while coordinating the normalized ac subgrid's frequency and dc subgrid's voltage for economic power interaction.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Arman Oshnoei et al.
Summary: This paper proposes a brain emotional learning (BEL)-based controller for inverter air-conditioning (IAC) units to efficiently participate in frequency regulation in power systems. The controller is suitable for systems facing uncertainty and can quickly adapt to changing conditions. By comparing it with other control schemes, the effectiveness of the BEL controller in accurately tracking regulation signals under uncertain circumstances is demonstrated.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Energy & Fuels
Joshua Darville et al.
Summary: Predictive modeling is widely used in various industries. This study proposes a drift mitigation framework (DMF) to obtain an effective sample size from machine learning (ML) models using microgrids (MGs) as a testbed. Scenario selection is used to obtain a representative sample, which shows comparable statistical properties to the original population.
Review
Engineering, Electrical & Electronic
Shuai Shao et al.
Summary: This article classifies, describes, and critically compares different modeling techniques and control methods for dual-active-bridge (DAB) dc-dc converters. It provides recommendations for suitable modeling methods and evaluates the performance of various control methods through frequency response analysis. Practical control issues for DAB are also reviewed. The article is accompanied by PLECS simulation files for the reviewed control methods.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Zaheeruddin et al.
Summary: This paper presents a study on frequency control in a hybrid energy system using a fuzzy tilt integral derivative control strategy, with optimized controller coefficients searched out using Whale Optimization Algorithm (WOA). The effectiveness of the WOA-based FTIDF-II controller is demonstrated in dynamic performance evaluation, with its robustness against abrupt load conditions, system parameter variations, and nonlinearities further examined. The proposed hybrid system is simulated in a MATLAB environment for different load conditions to evaluate system robustness, and the impact of superconducting magnetic energy storage (SMGE) in frequency regulation is investigated.
IETE TECHNICAL REVIEW
(2022)
Article
Engineering, Electrical & Electronic
Sheik M. Mohiuddin et al.
Summary: This paper proposes an optimal distributed voltage control for grid-forming inverters in islanded AC microgrids. By formulating an optimization problem, considering technical constraints on voltage and reactive power output capacity, and balancing voltage regulation and reactive power sharing, the effectiveness of the proposed control is validated through simulations. Through the development of a distributed primal-dual gradient based algorithm, the challenges posed by non-separable objective functions, unavailable global average voltage, and globally coupled reactive power constraints are addressed. The advantages of the proposed control over existing controls are demonstrated.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Alex Navas-Fonseca et al.
Summary: This paper introduces a distributed predictive secondary control strategy that utilizes single-phase reactive power control to share imbalance in AC Microgrids. The innovative approach includes an objective function and dynamic models as constraints, allowing control based on local measurements and neighboring generator information. The proposed distributed model predictive control scheme outperforms other solutions by directly sharing imbalance in terms of single-phase reactive power without adding extra power converters.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Dong-Dong Zheng et al.
Summary: This paper proposes a new discrete-time data-driven distributed learning control strategy for frequency/voltage regulation and active/reactive power sharing in islanded microgrids. Instead of using the conventional control structure, a new control framework is adopted and a neural network is used for learning the control law. The neural network is trained online using operational data, resulting in improved transient performance and plug-and-play capability. The stability of the closed-loop system is analyzed using the Lyapunov approach considering the interactions between different distributed energy resources. The effectiveness of the proposed method is demonstrated through real-time hardware-in-the-loop experiment of a typical microgrid.
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Manoja Kumar Behera et al.
Summary: This article proposes an improved technique for voltage and frequency control in an islanded microgrid, using band-pass filter-based droop control and a modified proportional integral derivative (MPID) controller to enhance regulation. It also introduces an optimal third harmonic injection-sine pulsewidth modulation technique to reduce harmonic generation. The proposed control technique is validated through simulations and real-time testing, showing improved regulation and reduced overshoot and steady-state errors.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Review
Engineering, Electrical & Electronic
Luona Xu et al.
Summary: This article presents a review of coordinated control strategies, stability analysis, and fault management for dc shipboard microgrids. It discusses load characteristics, energy management systems, voltage stability, shipboard protection system requirements and solutions, as well as the developing trends of existing commercial dc ships.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Jeewon Choi et al.
Summary: This paper proposes a finite-time event-triggered secondary frequency and voltage control for islanded AC microgrids in a distributed fashion. The control strategy effectively performs frequency restoration and voltage regulations by sharing the active and reactive power among the distributed generators based on their power ratings. The finite-time control enables the system to reach consensus in a finite period of time, enhanced from asymptotic convergence. Event-triggered communication is utilized to reduce the communication burden among the distributed generator controllers by transmitting data among them when an event-triggering condition is satisfied. The performance of the proposed control strategy is verified experimentally using a hardware-in-the-loop testbed.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Fanghong Guo et al.
Summary: In this paper, a new distributed learning-based framework is proposed to solve real-time OPA problems, utilizing distributed DNNs and a dynamic average consensus algorithm to obtain an approximate solution, followed by a distributed balance generation and demand algorithm for final optimal feasible solution. The proposed DNN is theoretically shown to approximate an existing OPA algorithm, and experimental case studies demonstrate the framework's capability to achieve optimal results similar to traditional methods, but with advantages in simplicity and real-time implementation.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Shuhua Gao et al.
Summary: This paper investigates the economic operation of a microgrid with various distributed energy resources, and proposes a novel data-driven online approach based on imitation learning. By decomposing the problem and mimicking a mixed-integer linear programming solver, this method overcomes the limitations of reinforcement learning methods and achieves significant training time reduction and operation cost optimization.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Computer Science, Information Systems
Fazel Mohammadi et al.
Summary: This article provides a comprehensive review of robust control methods for microgrids, including AC, DC, and hybrid microgrids with various topologies and connections to conventional power systems. It discusses control objectives and methods, as well as research gaps related to scalability, robustness assessment, and evaluation approach in this area. Recommendations for future research to enhance the effectiveness of robust controllers for microgrids are also discussed.
IEEE SYSTEMS JOURNAL
(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
Engineering, Electrical & Electronic
Souvik Bera et al.
Summary: This paper proposes a deep learning-based aggregation method for thermal control loads, which mitigates voltage imbalance issues in low inertial stand-alone microgrids through demand-side management without compromising thermal comfort.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
P. I. N. Barbalho et al.
Summary: This article proposes an intelligent secondary controller for islanded microgrids using the DDPG algorithm, which effectively stabilizes the voltage and frequency of the grid. The controller was tested on a microgrid and demonstrated a significant reduction in voltage and frequency deviations.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Energy & Fuels
Indrojeet Chakraborty et al.
Summary: This paper proposes a PV-Battery stand-alone system with an enhanced DC-DC boost converter and an efficient voltage balancing technique. The system achieves better performance by extracting maximum power from the solar panel using the Incremental Conductance Technique and maintaining constant DC bus voltage with a non-complex voltage balancing technique. The system exhibits high reliability and low initial transient time.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Automation & Control Systems
Mahya Adibi et al.
Summary: In this article, a reinforcement learning-based scheme for secondary frequency control of lossy inverter-based microgrids is proposed. The scheme does not require a priori information and can achieve frequency synchronization in complex environments.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Review
Engineering, Electrical & Electronic
Mustafa Alrayah Hassan et al.
Summary: This paper presents a systematic review on advanced nonlinear control strategies for stabilizing and controlling constant power loads (CPLs) in DC shipboard microgrid systems. The latest stabilization techniques and future trends are discussed, along with the stability analysis and challenges of DC SMGs.
IEEE TRANSACTIONS ON SMART GRID
(2022)
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)
Article
Energy & Fuels
Qingzhu Wan et al.
Summary: A distributed cooperative secondary control strategy is proposed in this paper to overcome the drawbacks of bus voltage deviation and current sharing accuracy degradation caused by conventional v-i droop control in the primary control of a DC microgrid. The strategy utilizes discrete consensus and data exchange among converters to dynamically track the output voltage and current, while introducing a consistency gain function to reduce the impact of communication noise on control accuracy.
Article
Energy & Fuels
Kavita Singh et al.
Summary: This paper proposes an efficient frequency control mechanism for microgrid systems, which can handle inconsistent propulsion load. The proposed mechanism utilizes a tilt derivative filter-tilt integral derivative filter (TDF-TIDF) controller and optimizes the design variables using the dragonfly algorithm (DFA). Compared to other controllers, the suggested mechanism is capable of quickly reducing system oscillations.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Computer Science, Information Systems
Jonglak Pahasa et al.
Summary: This study investigates a virtual energy storage system (VESS) using photovoltaic generators and inverter air conditioners (IACs) to provide virtual inertia and frequency regulation for a low-inertia microgrid. The proposed MPC-based VESS can improve the virtual inertia, reduce the frequency deviation, and reduce the RoCoF of the studied microgrid. Additionally, the proposed method is robust to variations in the system parameters.
Article
Engineering, Electrical & Electronic
Wei Liu et al.
Summary: This paper proposes a distributed secondary control strategy that combines $Q$-learning and pinning control to achieve optimal control for droop-controlled microgrids. The strategy takes advantage of the fusion of reinforcement learning and control theory, resulting in high efficiency and self-adaptive control.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2022)
Article
Engineering, Electrical & Electronic
Zhongwen Li et al.
Summary: This paper proposes a novel distributed event-triggered secondary control method for overcoming the drawbacks of primary control in direct current microgrids. The proposed method achieves system-wide control of parallel distributed generators, estimating and regulating the average bus voltage at the nominal value, and achieving accurate current sharing among the generators. The method is flexible and scalable, with a simple event-triggered condition that reduces the communication burden.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2022)
Review
Computer Science, Artificial Intelligence
Rohit Trivedi et al.
Summary: This paper reviews the control architectures and drawbacks of traditional control techniques in microgrids, and explores the application of artificial intelligence (AI) in microgrid control, with a special focus on hierarchical control layers. It also investigates the implementation of AI-based control strategies in networked/interconnected/multi-microgrid environments.
Article
Telecommunications
Aicha Dridi et al.
Summary: This paper introduces the benefits of incorporating deep learning into the Industrial Internet of Things (IIoT) and proposes an innovative reinforcement learning architecture for distributed energy management systems in microgrids. The proposed method, using recurrent neural networks, outperforms traditional approaches in terms of fast learning and limited training samples.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2022)
Article
Computer Science, Information Systems
Guanghui Yuan et al.
Summary: This paper introduces an effective energy management method for hybrid AC/DC microgrids using advanced machine learning, incorporating forecasting and scheduling components. The proposed method not only enhances algorithm convergence speed, but also improves accuracy.
Article
Thermodynamics
Simone Totaro et al.
Summary: This paper addresses the lifelong control problem of isolated microgrids, proposing a novel model-based reinforcement learning algorithm that can handle system changes and outperforms traditional algorithms.
Article
Energy & Fuels
Kun Liu et al.
Summary: This paper proposes a distributed frequency control method for an off-grid inverter-based networked microgrid system, formulated as a model predictive control problem to maintain power balance and scheduled power interchange among connected microgrids, with validation through simulations in Matlab/Simulink.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2021)
Article
Automation & Control Systems
Haiya Qian et al.
Summary: This article introduces a novel control approach for microgrids synchronized by GPS, which enhances power sharing performance by implementing different values of virtual impedance. The method utilizes a basic local implementation and a sparse resistance tuning network to compensate for mismatched feeder impedance, without requiring knowledge of actual output impedance.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Automation & Control Systems
Yinghao Shan et al.
Summary: This article proposes a unified model predictive voltage and current control strategy for microgrids operating in islanded or grid-connected mode, ensuring smooth transition between the two modes. By considering both voltage and current in a unified cost function, the strategy enhances system reliability and control simplicity.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Multidisciplinary
Xiaoqing Lu et al.
Summary: This study explores the cyber-enabled distributed control techniques for heterogeneous microgrids, highlighting the impact of communication constraints on system performance, while also analyzing the challenges and issues that communication constraints may present.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Hossein Karimi et al.
Summary: In this paper, an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller is used to achieve frequency and power sharing among DG units in inverter-based AC microgrids, demonstrating its effectiveness. The results of two case studies show that the proposed ANFIS controller can better regulate frequency and meet the power sharing requirements among DG units compared to conventional controllers.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Kavita Singh et al.
Summary: The study introduces a novel microgrid automatic generation control ITDF controller based on ICA, showing its superiority through comparing dynamic responses and conducting sensitivity analysis to demonstrate its stability under various parameters and load disturbances.
IEEE SYSTEMS JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
Qi-Fan Yuan et al.
Summary: A dynamic average consensus-based distributed fixed-time secondary control scheme is proposed for an islanded DC microgrid, achieving current sharing and voltage regulation without prior knowledge of communication topology. The secondary controllers are designed with sign functions and fraction-based feedback signals for accelerated convergence, and an autonomous adaptive law is used to update control gain. The controllers do not require output current data transmission to neighbors or voltage sampling, making them easier to implement, and demonstrate resilience in various scenarios through simulation cases and experiment tests.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Review
Engineering, Electrical & Electronic
Animesh K. Sahoo et al.
Summary: The passage discusses the challenges faced by inverters in microgrids during parallel operations and the use of hierarchical control structures to address these technoeconomic issues. Communication and communication-less control methods are compared in terms of advantages and disadvantages, with a focus on decentralized control techniques for accurate power sharing.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Automation & Control Systems
Seyed Sohail Madani et al.
Summary: This research proposes a comprehensive data-driven distributed combined primary/secondary controller design method for microgrids, providing transient and steady-state performances while guaranteeing stability with fixed communication delays. The controller design directly utilizes measured data without requiring knowledge of model structure or physical parameters of the grid. Through frequency-domain constraints on weighted sensitivity functions, a distributed fixed-structure controller is synthesized in one step, showing considerable improvement in transient performance in hardware-in-the-loop experiments.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Baheej Alghamdi et al.
Summary: This article introduces an adaptive active power droop controller and voltage setpoint control for isolated microgrids to achieve optimal frequency response and stability after disturbances. The proposed control scheme, involving optimal and model predictive control, continuously adjusts active power droop gains and voltage setpoints of Distributed Energy Resources (DERs) to maintain system frequency within acceptable limits and enhance primary frequency response, considering the active power sensitivity of microgrid loads to operating voltage. The control scheme is tested, validated, and compared with previous techniques using time-domain simulations on a CIGRE medium voltage benchmark microgrid, demonstrating the advantages of the proposed approach.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Yu Li et al.
Summary: This paper introduces an effective and simple control approach for islanded DC microgrids, enabling each distributed generator to achieve accurate voltage regulation and power-sharing. Through an improved dynamic consensus protocol and a cooperative controller, these objectives are achieved efficiently.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Green & Sustainable Science & Technology
Zhongkai Yi et al.
Summary: This study proposes a model predictive control (MPC) based strategy for real-time secondary frequency regulation in an islanded microgrid, considering incremental operation cost of various controllable devices. The strategy efficiently manages massive DRs, maintaining system frequency and achieving satisfactory economic performance.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Energy & Fuels
Sicheng Deng et al.
Summary: This article introduces a novel finite-time consensus-based secondary frequency control strategy for microgrids, which ensures the effectiveness of the control strategy under flexible operating conditions and significantly improves its performance. The proposed control strategy's flexibility and the effectiveness of the optimal design method are verified through simulation and experimental results.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2021)
Article
Automation & Control Systems
Yonghui Ling et al.
Summary: This article proposes a dispatchable droop control method for multiple distributed generators in islanded ac microgrids, achieving effective power and frequency control.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Automation & Control Systems
Boda Ning et al.
Summary: This article explores distributed secondary frequency and voltage control for islanded microgrids, proposing a novel delay-compensated distributed control scheme and a distributed finite-time controller for voltage regulation. Case studies demonstrate the effectiveness and robustness of the proposed controllers.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Engineering, Electrical & Electronic
Daniele M. Ferreira et al.
Summary: Most distributed control strategies for grid-connected power converters are droop-based approaches with converters driven in voltage-control mode, combined with consensus protocols. These strategies balance power sharing accuracy and voltage/frequency regulation, while centralized power-based control successfully achieves power flow control and current unbalance compensation. The complementary features of both strategies are combined in consensus power-based control, improving flexibility and reliability without additional techniques.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Seyed Amir Alavi et al.
Summary: This paper proposes a distributed forecast-based consensus control strategy for DC microgrids to balance the state of charge levels of energy storage systems, ensuring continuous operation. The strategy prioritizes charging and discharging of ESSs based on renewable energy availability and load forecast, enhancing microgrid endurance during temporary generation insufficiencies. The proposed approach is evaluated on an experimental 380V DC microgrid hardware-in-the-loop test-bench, confirming successful achievement of controller objectives.
IEEE TRANSACTIONS ON SMART GRID
(2021)
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
Energy & Fuels
Mohammad H. Shams et al.
Summary: This study aims to optimize the sizing and operation of alkaline water electrolyzers and battery energy storage systems using deep learning, in order to maximize the utilization of renewable energy sources and reduce curtailments.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Computer Science, Information Systems
Hao Zhou et al.
Summary: The article introduces a method for energy management in microgrids that is resilient to communication failures, utilizing multiagent Bayesian deep reinforcement learning (BA-DRL) and double deep Q-learning (DDQN) architecture to enhance rewards and achieve collaborative decision-making among multiple agents.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Waleed Ali et al.
Summary: The paper presents a three-layer hierarchical control system for inverter-based microgrids, utilizing IoT and cloud computing for efficient management of stability and performance. The implementation of cloud-based machine learning islanding detection is a significant contribution, ensuring stability within 2 seconds of islanding according to IEEE 1547 standards.
Article
Computer Science, Information Systems
Kavita Singh et al.
Summary: This paper introduces a dual-stage fractional order PID controller for enhancing the primary frequency regulation of interconnected multi-mu grids, showcasing the contribution of a tidal power plant and integrating a diesel engine power plant. By optimizing controller gains, the stability of the microgrid is improved.
Article
Computer Science, Information Systems
Mohammed Al-Saffar et al.
Summary: This article introduces a distributed optimal power flow algorithm for optimal integration of stochastic distributed energy resources in power distribution systems, reducing computational complexity of linear programming approach and accelerating optimization process through the use of machine learning algorithms.
Article
Computer Science, Information Systems
Amir Hussain et al.
Summary: This paper proposes a model for frequency dynamics in an islanded microgrid with both inverter based distributed generators (DGs) and synchronous generators (SGs), and introduces a novel disturbance compensation-based PFC to address the challenging frequency control issue. The model is verified through real-time hardware-in-the-loop simulation.
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Shuoqi Wang et al.
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