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Article
Engineering, Electrical & Electronic
Mohamed R. Hamouda et al.
Summary: This paper develops a novel decentralized platform for facilitating energy trading between interconnected Microgrids (IMGs). The platform allows self-benefit-driven participation from MGs and provides a market-clearing approach based on sequential rounds. The effectiveness of the proposed platform is validated through various case studies.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Review
Energy & Fuels
Mobin Naderi et al.
Summary: This paper reviews concepts and methods related to interconnected microgrids (IMGs), including modeling, stability analysis, and control. The benefits of interconnecting microgrids are highlighted, such as improved reliability and renewable energy integration. However, maintaining stability and employing suitable control methods are important for maximizing these benefits. The paper provides a comparison of dynamic modeling methods, as well as a review and comparison of stability analysis and control methods for IMGs. The review is supported by diagrams, tables, and simulations using MATLAB and OPAL-RT.
Article
Engineering, Multidisciplinary
Zia Ullah et al.
Summary: A hybrid microgrid is an energy system consisting of various power sources and an energy management system to ensure system stability and balance. It can operate connected to the electrical grid or independently. The battery storage system is a key component and different controllers are used for load demand and energy management. This paper provides an overview of energy management and control in hybrid microgrids, presenting control methods such as artificial neural network, fuzzy logic, sliding mode controller, and proportional integral derivative. The performance of these controllers is compared in terms of voltage control, frequency stabilization, and energy saving.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Review
Energy & Fuels
Georgios Papazoglou et al.
Summary: Metaheuristic optimization techniques are effective in solving the OPF problem and addressing the limitations of mathematical optimization techniques. GA and PSO are two popular metaheuristics used. This study reviews and analyzes the traits of GA OPF and PSO OPF works, and compares their performance using the IEEE 30-bus network. The analysis shows that both GA and PSO OPF works offer high accuracy, with GA having a slight advantage, and PSO requires less computational burden.
Article
Thermodynamics
Mohamed A. M. Shaheen et al.
Summary: This paper proposes a novel Enhanced Transient Search Optimization (ETSO) technique that integrates electric vehicles (EVs) for the optimal solution of the Optimal Reactive Power Dispatch (ORPD) problem. The proposed method minimizes the active power loss and voltage deviation at the load buses. It is tested and compared with other metaheuristic optimization methods on different IEEE bus systems, showing robustness and efficiency in solving the ORPD problem and improving the performance of power systems.
Article
Engineering, Electrical & Electronic
Md Moniruzzaman et al.
Summary: Peer-to-peer energy trading is a way for smart grid-connected parties to trade renewable energy among themselves, aimed at addressing supply-demand imbalances during peak hours. However, the lack of secure, efficient, and transparent systems that incentivize users is a major challenge. This paper proposes a novel system utilizing cooperative game theory and blockchain technology to encourage users to maximize profit and trade energy securely. Through theoretical analysis and simulation experiments, the system's effectiveness and robustness are demonstrated, achieving a 6.5% improvement in prosumers' financial benefits compared to the baseline model.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Badr Lami et al.
Ain Shams Engineering Journal
(2023)
Article
Engineering, Electrical & Electronic
Lahanda Purage Mohasha Isuru Sampath et al.
Summary: A decentralized market framework for P2P energy trading is proposed in this paper. The market equilibrium is achieved through the participation of nodal agents and P2P agents, while protecting the privacy concerns of market participants and considering the allocation of costs/rewards associated with ancillary services.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Tianyi Chen et al.
Summary: This paper investigates the problems of peer-to-peer energy trading and energy conversion in multi-energy microgrids (MEMGs) and proposes a multi-agent deep reinforcement learning approach. Simulation results demonstrate the effectiveness of the proposed method in reducing the hourly operation cost.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Computer Science, Information Systems
Mehdi Mehdinejad et al.
Summary: This paper proposes a fully decentralized local energy market for small-scale prosumers based on peer-to-peer trading. The buyers and sellers can engage in energy trading with each other, and the buyer prosumers can participate in demand response programs while protecting their privacy. The proposed approach uses robust optimization and the fast alternating direction method of multipliers for solving the decentralized robust problem.
Article
Energy & Fuels
Bidan Zhang et al.
Summary: This paper explores the potential benefits of P2P energy trading for residential buildings with photovoltaic battery systems and proposes a novel separate bidding energy-management system (SBEMS) to optimize energy scheduling and determine energy bids.
Article
Automation & Control Systems
Luhao Wang et al.
Summary: This article studies the coordination and optimization of energy sharing among multiple microgrids belonging to different entities. It proposes a strategy based on stochastic Cartel game for grid-oriented energy bidding problem, with peer-to-peer (P2P) energy trading under uncertainty. A stochastic Cartel nonlinear programming model is formulated and a diagonal quadratic approximation method is employed. The problem is decomposed into subproblems for individual microgrids and equilibrium solutions are derived in an iterative and distributed manner. Comparisons are conducted to validate the proposed strategy.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Multidisciplinary
Sumit Sharma et al.
Summary: The research analyzes the technoeconomic modeling and sensitivity analysis of available resources for rural communities in India. The study concludes that a solar-wind-hydro-based utility grid-connected network is the optimal configuration, providing cost-efficient and reliable power supply to remote areas.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Review
Energy & Fuels
Arshad Nawaz et al.
Summary: This paper provides a comprehensive review of the multi-microgrids concept and its features, analyzes the challenges to stable operation of power systems posed by various factors, discusses energy management and demand-side management techniques, highlights the importance of cybersecurity, and makes recommendations for future research.
Article
Engineering, Multidisciplinary
Noor Habib Khan et al.
Summary: This paper aims to solve the optimal reactive power dispatch (ORPD) problem under deterministic and probabilistic states of the system using an improved marine predator algorithm (IMPA). The IMPA enhances the exploitation phase of the algorithm and updates the locations of populations based on spiral orientation and adaptive steps. The proposed algorithm is validated and tested on the IEEE 30-bus system, showing superiority over other state-of-the-art algorithms.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Guanguan Li et al.
Summary: This paper explores the energy interaction problem among autonomous prosumers and proposes an incentive scheme to incentivize proactive energy trading. By quantifying prosumers' contributions and leveraging bargaining power, a distributed energy trading problem is formulated to achieve fair benefits allocation. The method is verified through simulations based on actual data in Shanghai, China, demonstrating effectiveness in distributed energy trading and fair benefits allocation.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Wen-Ting Lin et al.
Summary: The paper introduces a peer-to-peer based virtual power plant model to address energy trading issues for small-scale renewable energy generation units and consumers. By coordinating generators and consumers through peer-to-peer platforms, virtual power plants can enhance energy utilization efficiency and reduce uncertainty in energy trading. Combining physical electricity trading with financial trading approaches promotes local electricity consumption and increases the share of renewable energy in the electricity market.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Zia Ullah et al.
Summary: This paper presents an integrated decision-making approach for optimal planning of a 100% renewable energy supply system in a rural area of Pakistan, considering a variety of sustainability criteria. The results reveal that the solar-hydro-biomass battery is the top-ranking off-grid system, while the solar-hydro-battery is the most appropriate design when the hybrid system is connected to the grid. The developed approach offers valuable benchmark and guidelines for investors and stakeholders in the energy industry to promote the high dissemination of renewables.
Article
Engineering, Electrical & Electronic
Mingyu Yan et al.
Summary: This article introduces a two-level network-constrained peer-to-peer (P2P) transactive energy model for multi-microgrids, utilizing a MLMF Stackelberg game approach and distributed algorithms to ensure the effectiveness of the proposed solution. The DSO reconfigures the distribution network based on energy trading results and requests adjustments for network security, formulated in a MISOCP model for solution accuracy. Numerical results on various test systems demonstrate the effectiveness of the proposed transactive model and its solution technique.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Md Habib Ullah et al.
Summary: This paper proposes a distributed pricing strategy for P2P transactive energy systems, considering voltage and line congestion management, and introduces a new mutual reputation index for product differentiation between prosumers. The effectiveness of the approach is validated through software simulations, demonstrating scalability, faster convergence, easy implementation, and maximum social welfare/profit.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Hongseok Kim et al.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Amrit Paudel et al.
IEEE TRANSACTIONS ON SMART GRID
(2020)
Article
Computer Science, Information Systems
Zia Ullah et al.
INTERNET OF THINGS
(2020)
Article
Computer Science, Information Systems
Zia Ullah et al.
Article
Energy & Fuels
Sana Noor et al.
Review
Green & Sustainable Science & Technology
Shaun Howell et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2017)
Article
Computer Science, Interdisciplinary Applications
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE
(2014)
