报告主题：Voltage Regulation under Uncertainty: Harnessing Network Flexibility
报 告 人：Yue Song
会议时间：11月11日(周五) 10:00
会议地点：腾讯会议427-622-922
主办单位：重庆大学、输配电装备及系统安全与新技术国家重点实验室、重庆大学溧阳智慧城市研究院
协办单位：四川大学、电子科技大学、西南交通大学、成都理工大学、成都中医药大学、四川师范大学、西华大学、西南科技大学、西南大学、重庆邮电大学、重庆科技学院
Personal Profile:
Yue Song received B.S. and M.S. degrees from Shanghai Jiao Tong University, in 2011 and 2014, respectively, and the Ph.D. degree from The University of Hong Kong (HKU), in 2017, all in electrical engineering. He was a Postdoctoral Fellow at HKU from Sep 2017 to Apr 2020. He is currently a Research Assistant Professor in the Department of Electrical and Electronic Engineering at HKU. He is a recipient of the Hong Kong Ph.D. Fellowship. He serves as an Area Editor for EAI Endorsed Transactions on Energy Web, and a guest editor for Frontiers in Energy Research, Energies, and Complexity. His research interests include control theory, optimization theory, and network science with applications to energy systems and network systems.
Abstract:
Distribution systems and microgrids are facing with more significant voltage fluctuation and a greater risk of voltage violation due to the increasing penetration of renewable energy. Conventionally the impact of renewable uncertainty is addressed by flexible power injections from dispatchable generators, energy storage units, and controllable loads. On the other hand, the flexibility from the underlying network structure has been paid less attention. In this talk, power system optimization is revisited by incorporating network flexibility in the form of line switching or soft line parameter adjustment. The former one is usually referred to as network reconfiguration and the latter one is enabled by installing line-based power electronic devices. Via both analytical and numerical studies, we reveal that power injection flexibility and network flexibility take complementary effects in accommodating renewable energy. Power injection flexibility mainly tunes the forecast-scenario operating point, while network flexibility contributes to reducing the degree of voltage fluctuation under uncertainty, showing that network flexibility is a promising control resource in high-renewable grids.
