Walter Scott, Jr. College of Engineering

Graduate Exam Abstract

hongfei sun
Ph.D. Preliminary
May 13, 2021, 10:00 am - 12:00 pm
Power system modeling and analysis based on data-driven approaches.
Abstract: The last couple of decades have witnessed the development of our electric power grid. The growing population size and increasing consumerism have increased the load demand and brought more pressure on the grid. Meanwhile, new elements are being introduced to the power grid such as various forms of renewable energy resources, electric vehicles and so on, which need to be monitored constantly and managed properly. In addition, the allocation of the various resources in the power systems is now conducted in a much more dynamic manner than ever. All these new dimensions have driven the development of the traditional grid into the smart grid and call for new methodologies in system design, operation and control. This research mainly focuses on the modeling of power systems with data-driven approaches, with applications in power system cyber-attack detection and recovery, and large-scale long-term load characterization. In this presentation, I will talk about our work on modeling the spatial-temporal relationship among the quantities across the entire power systems with applications to cyber-attack detection and data recovery.
Adviser: Liuqing Yang
Co-Adviser: J. Rockey Luo
Non-ECE Member: Haonan Wang, Statics
Member 3: Dongliang Duan, ECE, UWyo
Addional Members: Hongming Zhang, NREL
Program of Study: