Springer Cooperative Optimal Control of Hybrid Energy Systems

This book mainly investigates the cooperative optimal control of hybrid energy system, it presents security control, multi-objective optimization, distributed optimization and distributed control approaches for tackling with security, economic and stability problem of the hybrid energy system. It aims to solve some challenging problems including security issue, economic cost or benefits from both power generation side and load demand side, and coordination among different power generators.  The methods proposed in this book is novel and attractive, it consists of the hierarchical optimal control strategy for the security issue, multi-objective optimization for both economic and emission issue, and distributed optimal control for coordination among power generators. Readers can learn novel methods or technique for tackling with the security issue, multiple-objective problem, and distributed coordination problem. It also may inspire readers to improve some drawbacks of existing alternatives. Some fundamental knowledge prepared to read this book includes basic principles of the multi-agents system, robust optimization, Pareto-dominance optimization, and background of electrical engineering and renewable energy. From the Back Cover This book mainly investigates the cooperative optimal control of hybrid energy system, it presents security control, multi-objective optimization, distributed optimization and distributed control approaches for tackling with security, economic and stability problem of the hybrid energy system. It aims to solve some challenging problems including security issue, economic cost or benefits from both power generation side and load demand side, and coordination among different power generators.  The methods proposed in this book is novel and attractive, it consists of the hierarchical optimal control strategy for the security issue, multi-objective optimization for both economic and emission issue, and distributed optimal control for coordination among power generators. Readers can learn novel methods or technique for tackling with the security issue, multiple-objective problem, and distributed coordination problem. It also may inspire readers to improve some drawbacks of existing alternatives. Some fundamental knowledge prepared to read this book includes basic principles of the multi-agents system, robust optimization, Pareto-dominance optimization, and background of electrical engineering and renewable energy. About the Author Professor Dong Yue is the dean of Institute of Advanced Technology, College of Automation & College of Artificial Intelligence of Nanjing University of Posts and Telecommunications. In 2009, he was appointed a prestigious Chair by China’s Ministry of Education, “Chang Jiang (Yangtze River) Scholar Chair Professor” and was granted a Special Allowance from the State Council. He is the chief of Jiangsu Engineering Laboratory of Big Data Analysis and Control for Active Distribution Network. He is a World’s Highly Cited Researcher by Thomson Reuters in 2018, and a Chinese Highly Cited Researcher by Elsevier in 2014-2017. Professor Yue serves as the Guest Editor, Associate Editor of International Journals, IEEE TSMCA, IEEE TNNL, JFI and IJSS. He is the member of Editorial Board of Control Theory & Applications, Information and Control, the member of Expert Group of Intelligent Manufacturing Alliance of CAST Member Societies, the committee member of IFAC TC6.3 Power and Energy Systems, the Managing Director and deputy secretary general of Chinese Association for Artificial Intelligence, the Deputy Director of Energy Internet of Chinese Association of Automation, the Vice Chairman of Embedded Instrumentation and System Technology Chapter of China Instrument and Control Society, the member of Technical Committee of Control Theory, Process Control and Intelligent Automation of Chinese Association of Aut