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Power System State Estimation from PMU Measurements with Bad Data Prof. Liuqing Yang

Seminar Announcement. August 4, Sunday, 16:00- 1 7:30pm, Room :电信系会议室 ( 南一楼中 302). Power System State Estimation from PMU Measurements with Bad Data Prof. Liuqing Yang Department of Electrical and Computer Engineering Colorado State University 1373 Campus Delivery Fort Collins. Abstract

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Power System State Estimation from PMU Measurements with Bad Data Prof. Liuqing Yang

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  1. Seminar Announcement August4, Sunday, 16:00-17:30pm, Room:电信系会议室(南一楼中302) Power System State Estimation from PMU Measurements with Bad Data Prof. Liuqing Yang Department of Electrical and Computer Engineering Colorado State University 1373 Campus Delivery Fort Collins Abstract State estimation is an important tool for the monitoring of the power grid. Phasor measurement units (PMU) are expected to enhance state estimation in the power grid by providing accurate and real-time measurements. However, due to communication errors, equipment failures and malicious attacks, some detrimental data may be present in the measurements. In the literature, the largest residual removal (LRR) algorithm is commonly used for phasor state estimation with bad data. However, here we show that this method cannot guarantee correct bad data removal unless data redundancy is very large. Then, we propose a general greedy bad-data processing algorithm by exploiting the sparsity of the bad data. Our proposed algorithm can perfectly remove the bad data when only one is present. Meanwhile, simulations show that it works much better than the LRR for multiple bad data presence. In addition, based on the structure of the power system, we introduce decoupled algorithms to further improve the bad-data processing performance. Biography Dr. Liuqing Yang received her Ph.D. degree in Electrical and Computer Engineering from the University of Minnesota, Minneapolis, in 2004. Since August 2004, she has been with the Department of Electrical and Computer Engineering at the University of Florida, Gainesville, where she became an Associate Professor in 2009. Since 2010, she has been with Colorado State University as an Associate Professor. Her general interests are in areas signal processing with applications to communications, networking and power systems – subjects on which she has published more than 150 journal and conference papers, 2 book chapters and 1 book. Dr. Yang was the recipient of the Best Dissertation Award in the Physical Sciences & Engineering from the University of Minnesota in 2004, the Best Paper Award at the IEEE International Conference on UWB in 2006, the AFOSR Summer Faculty Fellowship in 2007, the ONR Young Investigator Program (YIP) award in 2007, the NSF Faculty Early Career Development (CAREER) award in 2009, the IEEE GLOBECOM 2010 Outstanding Service Award, and the George T. Abell Outstanding Mid-Career Faculty Award in 2013. She has served as an active reviewer for more than 10 journals, as TPC chair/member for a number of conferences, and as an associate editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Intelligent Transportation Systems, and PHYCOM: Physical Communication. Dr. Yang is a senior IEEE member, and has been the co-chair of the Mobile Communication Networks technical committee of the IEEE ITSS since 2006.

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