Demand Response Application in Smart Grids
Description
This book analyzes the economic and technical effects of demand response programs in smart grids. A variety of operational and financial benefits are offered by demand response programs (DRPs) for load-serving entities, grid operators, and electricity consumers. The most notable advantages of DRPs are presented in this book, including decreased electricity prices, risk management, market power mitigation, and flexibility of market operations. In-depth chapters discuss the integration of demand response programs for the planning and operation of smart grids and explore the uncertainties of market prices, renewable resources and intermittent load management, making this a useful reference for a variety of different organizations and players in the electricity market, such as reliability organizations, distribution companies, transmission companies, and electric end-users.
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Sayyad Nojavan received the B.Sc., M.Sc. and Ph.D. degrees in electrical power engineering from University of Tabriz, Tabriz, Iran, in 2010, 2012 and 2017, respectively. Also, he was a Postdoctoral Researcher from September 2017 to September 2018 in the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Currently, he is an Assistant Professor of Researcher in the Department of Electrical Engineering, University of Bonab, Bonab, Iran. His research areas include electricity market, distribution networks operation, power system operation and economics, hybrid energy system, retailer, microgrids, uncertainty modelling and risk management.
Kazem Zare received the B.Sc. and M.Sc. degrees in electrical engineering from University of Tabriz, Tabriz, Iran, in 2000 and 2003, respectively, and Ph.D. degree from Tarbiat Modares University, Tehran, Iran, in 2009. Currently, he is an Associate Professor of the Faculty of Electrical and Computer Engineering, University of Tabriz. His research areas include electricity market, distribution networks operation and planning, power system economics, microgrid, uncertainty modelling and energy management.