Risk-Based Planning and Operation Strategy Towards Short Circuit Resilient Power Systems

This book focuses on the comprehensive prevention and control methods for short-circuit faults in power systems. Based on the quantification method of power system short-circuit fault risk considering extreme meteorological disasters, this book carries out theoretical research on optimal control of power system short-circuit faults at the planning and operation levels. The establishment of a comprehensive index system for short-circuit safety level of large power grids from several sides and the realization of a panoramic display of consequences of short-circuit faults in power grids are one of the features of this book, which are especially suitable for readers interested in learning about short-circuit fault solutions in power systems. This book can benefit researchers, engineers, and graduate students in the fields of electrical engineering, power electronics, and energy engineering.

Chengjin Ye received the B.S. (2010) and Ph. D (2015) degrees from the Zhejiang University, China both in electrical engineering. He served as a distribution system engineer for the Economics Institute of State Grid Zhejiang Electric Power Co., Ltd. from 2015 to 2017. He was a postdoc researcher in Zhejiang University from 2017 to 2019. From 2020, he serves as a Tenure-Track Professor with the College of Electrical Engineering, Zhejiang University, Hangzhou, China. His research areas include power system planning and operation; Grid resilience enhancement and integration of demand resources into power system operation.   Chao Guo received the B.S. (2017) and PH. D (2022) degrees in electrical engineering from Shandong University, Jinan, China, and Zhejiang University, Hangzhou, China. From 2022, he serves as a Research Professor with the School of Information and Electrical Engineering, Zhejiang University City College, Hangzhou, China. His research interests include reliability analysis, short-circuit current limitation, and the power market.

Yi Ding (M'10) received B.S. (2002) and PH. D (2007) degrees in electrical engineering from Shanghai Jiaotong University, Shanghai, China, and Nanyang Technological University, Singapore, respectively. He is a Professor with the College of Electrical Engineering, Zhejiang University, Hangzhou, China. His current research interests include power systems reliability analysis incorporating renewable energy resources, smart grid performance analysis, and engineering systems reliability modeling and optimization.

Autorentext

Chengjin Ye received the B.S. (2010) and Ph. D (2015) degrees from the Zhejiang University, China both in electrical engineering. He served as a distribution system engineer for the Economics Institute of State Grid Zhejiang Electric Power Co., Ltd. from 2015 to 2017. He was a postdoc researcher in Zhejiang University from 2017 to 2019. From 2020, he serves as a Tenure-Track Professor with the College of Electrical Engineering, Zhejiang University, Hangzhou, China. His research areas include power system planning and operation; Grid resilience enhancement and integration of demand resources into power system operation.

Chao Guo received the B.S. (2017) and PH. D (2022) degrees in electrical engineering from Shandong University, Jinan, China, and Zhejiang University, Hangzhou, China. From 2022, he serves as a Research Professor with the School of Information and Electrical Engineering, Zhejiang University City College, Hangzhou, China. Hisresearch interests include reliability analysis, short-circuit current limitation, and the power market.

Yi Ding (M'10) received B.S. (2002) and PH. D (2007) degrees in electrical engineering from Shanghai Jiaotong University, Shanghai, China, and Nanyang Technological University, Singapore, respectively. He is a Professor with the College of Electrical Engineering, Zhejiang University, Hangzhou, China. His current research interests include power systems reliability analysis incorporating renewable energy resources, smart grid performance analysis, and engineering systems reliability modeling and optimization.