Overview
- Addresses control and communication for demand response in theory
- Provides in-depth establishment of two major cost modeling methods
- Studies major optimization strategies and resource allocation methods
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Table of contents (13 chapters)
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Load Control and Optimization Strategies
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Communication Network and Resource Allocation
Keywords
About this book
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Control and Communication for Demand Response with Thermostatically Controlled Loads
Authors: Kai Ma, Pei Liu, Jie Yang, Xinping Guan
DOI: https://doi.org/10.1007/978-981-19-6876-1
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-6875-4Published: 12 December 2022
Softcover ISBN: 978-981-19-6878-5Published: 12 December 2023
eBook ISBN: 978-981-19-6876-1Published: 11 December 2022
Edition Number: 1
Number of Pages: XIII, 193
Number of Illustrations: 13 b/w illustrations, 75 illustrations in colour
Topics: Power Electronics, Electrical Machines and Networks, Control and Systems Theory