Stability Analysis, Flexible Control and Optimal Operation of Microgrid

This book intends to report the new results of the microgrid in stability analysis, flexible control and optimal operation. The oscillatory stability issue of DC microgrid is explored and further solved. Flexible and stable voltage & frequency control of microgrid is put forward considering the distributed generations or distributed energy storages. The optimal operation of multi-energy is researched in view of economic efficiency and low-carbon development. The results of this book are original from authors who carry out the related research together for a long time, which is a comprehensive summary for authors' latest research results. The book is likely to be of interest to university researchers, electrical engineers and graduate students in power systems, power electronics, renewable energy and microgrid.

Investigates the stability analysis, flexible control and optimization method for multi-energy microgrid Includes the stability analysis of cascaded power electronic system and its solution Provides innovational idea on flexible control of microgrid taking a full advantage of distributed energy storage

Auteur

Yong Li is Full Professor of Hunan University, Vice Dean of College of Electrical and Information Engineering, Hunan University, Director of the Engineering Research Center for Power Transmission and Transformation Technology, Ministry of Education, China, as well as Deputy Director of International Joint Research Center for Smart Grid Optimization and Control Technology, Ministry of Science and Technology, China. He received the Ph.D. degree from Hunan University, Changsha, China, and then the Ph.D. degree from TU Dortmund University, Dortmund, Germany. He was Research Fellow with The University of Queensland, Brisbane, Australia, from 2012 to 2013. He is Member of the Editorial Boards of IEEE Trans. Industry Applications, IET Generation, Transmission & Distribution, IET Power Electronics, CSEE Journal of Power and Energy Systems, Discover Energy and so on. He has published 4 books in both Chinese and English, 2 translated books, more than 100 peer-reviewed journal papers and authorized 36 national/international patents. His main research interests include power system stability analysis and control, energy conversion system and equipment, power quality analysis and control, as well as operation and control of integrated energy systems.Mingmin Zhang received the B.Sc. degree in electrical engineering from the China University of Mining and Technology, Xuzhou, China, in 2014 and the Ph.D. degree in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2020. From 2018 to 2019, he was Visiting Scholar with the University of Texas at Arlington. Since 2021, he has been Post-doctoral Researcher with Hunan University. His research interests include modeling and control of renewable power generation systems, power quality analysis and distributed control of microgrids.
Yijia Cao received the undergraduate degree from Xi'an Jiaotong University, Xi'an, China, in 1988 and the M.Sc. and Ph.D. degrees from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 1991 and 1994, respectively. From 1994 to 2000, he was Visiting Research Fellow and Research Fellow with Loughborough University, Liverpool University and the University of the West England, UK. From 2000 to 2001, he was Full Professor with HUST, and from 2001 to 2008, he was Full Professor with Zhejiang University, China, where he was appointed as Deputy Dean of the College of Electrical Engineering in 2005. Since 2008, he is the Professor of Hunan University, China, and since 2018, he is the President and Professor of Changsha University of Science and Technology, China. Dr. Cao is Associate Editor of IEEE Trans. Smart Grid, IET Smart Grid, IET Cyber-Physical Systems: Theory & Applications, and so on. His main research interests are smart grid dispatch, power system security and stability control and the application of intelligent systems in power systems.

Contenu
Introduction.- Low-Frequency Oscillation Analysis of Virtual-Inertia-Controlled DC Microgrid Based on Multi-Timescale Impedance Model.- DC Voltage Supporting Strategy Utilizing Distributed Energy Storages in AC/DC Hybrid Networks.- Power Coordinated Control with Cross-Area Distributed Energy Storages in AC/DC Microgrid.- A Dynamic Coordinated Control Strategy of WTG-ES Combined System for Short-Term Frequency Support.- A Comprehensive Inertial Control Strategy for Hybrid AC/DC Microgrid with Distributed Generations.- A Robust Distributed Secondary Voltage Control Method for Islanded Microgrids.- Low-Carbon Economic Dispatch Considering Integrated Demand Response and Multistep Carbon Trading for Multi-Energy Microgrid.- Transaction Model Based on Stackelberg Game Method for Balancing Supply and Demand Sides of Multi-Energy Microgrid.