ECE Seminar Series
Title: A Multi-Scale Synchrophasor Data Characterization for Smart Grid Stability Analysis
Speaker: Dr. Yingchen Zhang
Affiliation: NREL, Transmission and Grid Integration group
Day: Monday, April 25, 2016
Time: 11:00 am - 12:00 pm
Location: LSC 308
Abstract: Synchrophasor measurement units can provide abundant grid data, and information extracted from the big data becomes an imperative asset for smart grid monitoring, operation and control. The challenge remains in how to effectively and efficiently characterize and manage the power system big data. This presentation will introduce a optimal synchrophasor measurement devices placement method to reduce the number of synchrophasor measurement devices while keeping the smart grid fully observable. Also a matching pursuit decomposition with Gaussian atom dictionary is used to characterize the measurement data.
Bio: Dr. Zhang received his B.S. degree from Tianjin University, China in 2003 and his Ph.D. degree from Virginia Polytechnic Institute and State University in 2010. He is a Senior Engineer at the National Renewable Energy Laboratory and a Visiting Research Assistant Professor at the University of Denver. He has over 10 years of experience in power industry in the areas of power system operation and planning, renewable integration, sensing and monitoring. He authored/coauthored over 40 peer reviewed publications and holds one U.S. patent. His key areas of expertise lie in advanced energy management system for future grids, the impact of large-scale integration of renewable energies on power system operations, stability monitoring and analysis of a system with high renewable penetration, and synchrophasor measurements' applications on renewable integrations.