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

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. Review Provides a decision-making framework for power systems on the verge of transformation into increasingly complex, highly renewable, distributed and ‘smart’ grids From the Back Cover <i>Decentralized Frameworks for Future Power Systems: Operation, Planning and Control Perspectives</i> 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. Energy system planning is reviewed, particularly in terms of consumer smart meter technologies. Distributed optimization methods are discussed in depth, 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. About the Author Mohsen Parsa Moghaddam is professor of Electrical Engineering (Power Systems) and Faculty Member of Tarbiat Modares University, Tehran, Iran, since 1988. He received B.Sc. in Electrical Engineering from Sharif University of Technology, Iran, 1980 and M.Sc. in Electrical Engineering from Toyohashi University of Technology, Japan, 1985. His Ph.D. in Electrical Engineering was accomplished in Tohoku University, Japan, 1988. His research interest includes power system operation, power system planning, smart grid technologies, demand response, renewable energy system, power system flexibility and renewable energy integration. He has more than 220 research publications in top-tier journals and conferences. He is also a senior member of IEEE and IEEE PES. Reza Zamani received the B.Sc. degree in electrical engineering from Sharif University of Technology in 2015, and M.Sc. degree in power system from Isfahan University of Technology in 2017. His academic proficiencies are accompanied by his numerous hands-on experiences in industrial projects in several companies. He is currently pursuing Ph.D. degree with the faculty of electrical and computer engineering at Tarbiat Modares University in Teheran, Iran. His major research interests are power systems operation and planning, transactive energy, power system dynamics, electricity market, demand response, power system flexibility, smar