Control and Communication for Demand Response with Thermostatically Controlled Loads (eBook)
XIII, 193 Seiten
Springer Nature Singapore (Verlag)
978-981-19-6876-1 (ISBN)
Kai Ma received the B. Eng. degree in Automation and Ph.D. degree in Control Science and Engineering from Yanshan University, China in 2005 and 2011, respectively. In 2011, he joined Yanshan University. From 2013 to 2014, he was a postdoctoral research fellow in Nanyang Technological University, Singapore. He is currently a professor and director of the Department of Automation, School of Electrical Engineering, Yanshan University, China. His research interests include demand response in smart grid and resource allocation in communication networks.
Pei Liu received the B. Eng. degree in Automation from the Yanching Institute of Technology, China, in 2016, and the Ph.D. degree in Control Science and Engineering from Yanshan University, China in 2022. She is currently a postdoctoral research fellow in Tsinghua University, China. Her research interests include demand response in smart grid, resource allocation in communication networks, and communication security.
Jie Yang received her B. Eng. degree in Electrical Engineering and Automation from the Yanshan University in 2006, the Master degree in Control Theory and Control Engineering from Yanshan University in 2009, and the Ph.D. degree in Control Science and Engineering from Tianjin University in 2015. She is currently an associate professor in Yanshan University. Her research interests include economical dispatch in power systems.
The book focuses on control and communication for demand response with thermostatically controlled loads. This is achieved by providing in-depth study on a number of major topics such as load control, optimization strategies, communication network model, resource allocation methods, system design, implementation, and performance evaluation. Two major cost modeling methods are established in detail, which are cost modeling based on Taguchi Loss Function and cost modeling based on regulation errors. The comprehensive and systematic treatment of issues in optimization strategies and resource allocation for demand response are one of the major features of the book, which is particularly suited for readers who are interested to learn solutions in control and communication. The book can benefit researchers, engineers, and graduate students in fields of control theory, automation, communication engineering and economics, etc.
Erscheint lt. Verlag | 11.12.2022 |
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Zusatzinfo | XIII, 193 p. 88 illus., 75 illus. in color. |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Naturwissenschaften | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Algorithm Implementation • Cognitive radio technology • control and communication • Cooperative relaying strategy • Cost Modeling • demand response • Optimization strategies • Performance Evaluation • Resource Allocation • Smart Grid • System design • Thermostatically controlled loads |
ISBN-10 | 981-19-6876-4 / 9811968764 |
ISBN-13 | 978-981-19-6876-1 / 9789811968761 |
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