Decentralized Frameworks for Future Power Systems Operation, Planning and Control Perspectives

Decentralized Frameworks for Future Power Systems Operation, Planning and Control Perspectives by Mohsen Parsa Moghaddam, published by Elsevier Science on May 16, 2022, is a comprehensive exploration of decentralized decision-making principles in future power networks. This 500-page work defines emerging power systems as systems-of-systems (SoS) and delves into optimal solutions for various operational and planning challenges. The book emphasizes the importance of regulations, prosumption behaviors, and transactive energy processes in the decentralization of power systems.
Readers will find a detailed examination of local markets, distribution system operations, and proactive load management. The text also discusses the role of cryptocurrencies in addressing distributional challenges within transactive energy frameworks. Later sections focus on energy system planning, highlighting consumer smart meter technologies and various optimization methods, including artificial intelligence and mathematical approaches. The book concludes with insights into decentralization’s impact on cybersecurity, distributed control, market design, and power quality optimization.
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Decentralized Frameworks for Future Power Systems: Operation, Planning and Control Perspectives is the first book to consider the principles and applications of decentralized decision-making in future power networks. The work opens by defining the emerging power system network as a system-of-systems (SoS), exploring the guiding principles behind optimal solutions for operation and planning problems. Chapters emphasize the role of regulations, prosumption behaviors, and the implementation of transactive energy processes as key components in decentralizing power systems. Contributors explore local markets, distribution system operation and proactive load management. The role of cryptocurrencies in smoothing transactive distributional challenges are presented.
Final sections cover energy system planning, particularly in terms of consumer smart meter technologies and distributed optimization methods, including artificial intelligence, meta-heuristic, heuristic, mathematical and hybrid approaches. The work closes by considering decentralization across the cybersecurity, distributed control, market design and power quality optimization vertices.
- Develops a novel framework for transactive energy management to enhance flexibility in future power systems
- Explores interactions between multiple entities in local power markets based on a distributed optimization approach
- Focuses on practical optimization, planning and control of smart grid systems towards decentralized decision-making
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