报告题目：Voltage Regulation under Uncertainty: Harnessing Network Flexibility
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.
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.