Modeling, Control, Estimation, and Optimization for Microgrids: A Fuzzy-Model-Based Method

Due to increasing economic and environmental pressures, small-scale grids have received increasing attention in the last fifteen years. These renewable sources, such as solar PVs, wind turbines, and fuel cells, integrated with grid, have changed the way we live our lives. This book describes microgrid dynamics modeling and nonlinear control issues from introductory to the advanced steps. The book addresses the most relevant challenges in microgrid protection and control including modeling, uncertainty, stability issues, local control, coordination control, power quality, and economic dispatch.

Zhixiong Zhong received a B.S. degree in Mechatronics from Fuzhou University, Fuzhou, China, in 2008 and a M.S. degree in control theory and control engineering from Fuzhou University, Fuzhou, China, in 2012. In 2013 he was a visiting student with the Department of Mechanical Engineering, University of Victoria, Canada. In 2015 he received the Ph.D. degree in the Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China and jointed in the School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China. He has published a number of international journal and conference papers and authored the book Large-Scale Fuzzy Interconnected Control Systems Design and Analysis (IGI Global, 2017). He is a Reviewer of several journals. His research interests include fuzzy control, robust filtering and microgrid control.