This book presents the latest research on switching control, adaptive switching control, and their applications in the transient stability control and analysis of large-scale complex power systems. In large-scale complex power systems, renewable power generators, flexible power electronics converters, and distributed controllers are widely employed. Due to the poor overcurrent tolerance capability of power electronics converters and lacking of coordination mechanism, stability control in events, such as natural disasters, cascaded faults, and severe disturbances, is viewed as the key challenge in the operation of these systems. High-performance self-coordinated controllers are needed for the control of important power sources and power electronics converters. Adaptive switching controllers are a group of controllers designed by the authors for the control of various renewable power generators, synchronous generators, and modular multilevel converters. These controllers operate in a self-coordinated manner and aim to employ the largest transient control energy of converters and power sources. Imbalance between power generation and consumption is largely filled by the application of these controllers, and transient stability of power systems can be significantly improved. This book covers both the preliminary knowledge and key proofs in the design and stability analysis of adaptive switching control systems, and considerable simulation and experimental results are presented to illustrate the application and performance of the controllers. This book is used as a reference book for researchers and engineers in fields of electrical engineering and control engineering.
Yang Liu obtained his B.E. and Ph.D. degrees in Electrical Engineering from South China University of Technology (SCUT), Guangzhou, China, in 2012 and 2017, respectively. He is an associate professor in the School of Electric Power Engineering, SCUT. His research interests include the areas of power system stability analysis and control, control of wind power generation systems, simulation of large-scale power systems. He has authored and co-authored more than 40 peer-reviewed journal papers. He is a member of IEEE and Chinese Society for Electrical Engineering (CSEE), he is one of the 25 scholars who was sponsored by the Young Elite Scientists Sponsorship Program by CSEE in 2018 in China, he is one of the 16 scholars, in the field of electrical engineering, who received the Special Sponsorship Project granted by China Postdoctoral Science Foundation in 2019 in China, and he received the annual 100 Doctor and Postdoctoral Innovation Award in Guangdong Province, China, in 2019. Currently, he serves as an associate editor of two academic journals, e.g., CSEE Journal of Power and Energy Systems and Protection and Control of Modern Power Systems.
Q. H. Wu obtained a M.Sc. (Eng.) degree in Electrical Engineering from Huazhong University of Science and Technology, Wuhan, China, in 1981. From 1981 to 1984, he was appointed as a lecturer in Electrical Engineering in the University. He obtained a Ph.D. degree in Electrical Engineering from The Queen's University of Belfast (QUB), Belfast, UK, in 1987. He worked as a research fellow and subsequently a senior research fellow in QUB from 1987 to 1991. He joined the Department of Mathematical Sciences, Loughborough University, Loughborough, UK, in 1991, as a lecturer, and subsequently, he was appointed as a senior lecturer. In September 1995, he joined The University of Liverpool, Liverpool, UK, to take up his appointment as the chair of Electrical Engineering in the Department of Electrical Engineering and Electronics. Now, he is with the School of Electric Power Engineering, South China University of Technology, Guangzhou, China, as a distinguished professor and the director of Energy Research Institute of the University. Professor Wu has authored and co-authored more than 440 technical publications, including 240 journal papers, 20 book chapters, and 4 research monographs published by Springer. He is a fellow of IEEE, a fellow of IET, a chartered engineer, and a fellow of InstMC. His research interests include nonlinear adaptive control, mathematical morphology, evolutionary computation, power quality, and power system control and operation.
