学术报告第201983期

报告题目：Innovative and yet Practical Incorporation of Corrective Network Reconfiguration in Power Grid Optimal Scheduling and Dispatching

报告人：李兴鹏 助理教授（美国休斯敦大学）

报告时间：2019年12月17日 上午10:00

报告地点：南一楼中311室

主持人：俞耀文

Abstract: Transmission assets are traditionally treated as static assets in power system operational studies. Past research efforts have pointed out the advantages of treating the transmission network topology as a flexible asset. However, the flexibility in the transmission system is not fully modeled in existing operational tools including security-constrained unit commitment (SCUC) for day-ahead scheduling, real-time contingency analysis (RTCA) and security-constrained economic dispatch (SCED) for real-time control. The flexibility in the transmission system can be practically utilized through network reconfiguration as a corrective control mechanism. In this talk, we will go over the potential of corrective network reconfiguration being practically incorporated in power grid optimal scheduling and dispatching. Specifically, this talk consists of two parts: first, we will cover how corrective network reconfiguration can practically enhance energy management system (EMS) for grid real-time operations; the proposed approach requires minimal change in today’s EMS for it to upgrade to the proposed enhanced EMS. Second, we will cover how we can effectively incorporate corrective network reconfiguration in day-ahead SCUC and how we can efficiently solve the associated complex optimization problem with Benders’ decomposition; the proposed approach can relieve network congestion and reduce computing time while maintaining the solution quality.

Bio: Xingpeng Li is currently an Assistant Professor with the Department of Electrical and Computer Engineering at the University of Houston. He received the B.S. degree in electrical engineering from Shandong University, Jinan, China, in 2010, and the M.S. degree in electrical engineering from Zhejiang University, Hangzhou, China, in 2013, and the M.S. degree in industrial engineering and the Ph.D. degree in electrical engineering from Arizona State University, Tempe, AZ, USA, in 2016 and 2017 respectively. He has various industrial experience. He previously worked with ISO New England, Holyoke, MA, USA, and PJM Interconnection, Audubon, PA, USA. Before joining the University of Houston, he was a Senior Application Engineer at ABB, San Jose, CA, USA. He received a Tier-1 Silver award and a Tier-2 Silver award from U.S. Department of Energy (DOE) Office of Electricity for his two winning submissions to the Electricity Industry Technology and Practices Innovation Challenge (EITPIC) prize competition in 2019. He received the IEEE Phoenix Section Student Scholarship in 2016. His research interests include power system operations and optimization, grid integration of renewable energy sources, energy storage resources and distributed energy resources, microgrids, and false data injection cyber-attack and countermeasures.