Distributed Secondary Control of Microgrid Systems

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· CRC Press
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Ukadiriaji na maoni hayajahakikishwa  Pata Maelezo Zaidi

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This book presents a detailed description of the transition from the traditional power system to the microgrid (MG) system.

The authors introduce the basic concepts of an MG system along with its different operating modes and classifications. The various benefits, challenges, and technical aspects of an MG are highlighted. They demonstrate different control strategies that are applied at different levels of the control hierarchy, particularly the distributed secondary control architecture. Furthermore, the adaptive techniques-based distributed schemes, a distributed architecture-based synchronization controller, and a delay-independent buffer-free distributed controller are proposed for the MG system.

This book can be useful for senior undergraduate students, postgraduate students, and researchers of electrical power engineering and system control.

Kuhusu mwandishi

Haoming Liu received the B.S., M.S. and Ph.D. degrees all from Nanjing University of Science and Technology, China, in 1998, 2001, and 2003, respectively. He is currently a full professor at the School of Electrical and Power Engineering, Hohai University, China. He has published more than 200 journal papers, 30 patents, and 2 books. His research interests include new energy generation, distribution system analysis and control, and electricity market.

Muhammad Yasir Ali Khan received his Ph.D. degree from the College of Energy and Electrical Engineering, Hohai University in 2023. He is now a post-doctoral researcher at Hohai University, China. His research interests include power electronic converters, renewable integration, microgrid, and power system.

Jingjing Zhai received her Ph.D. in Control Engineering from Nanjing University of Science and Technology, Nanjing, China, in 2022. She is currently an associate professor at Nanjing Institute of Technology. Her research interests include the optimal operation of integrated power systems and intelligent power utilization.

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