TUTORIAL SESSION

Power System State Estimation and It’s Recent Development

Assoc. Prof. Bei Gou
North Dakota State University, USA
bei.gou@ndsu.edu

Duration

3 hours

Abstract

This tutorial will offer an up-to-date account of the techniques utilized in power system state estimation. This tutorial will consist of two parts: 1) basic and important concepts and topics in power system state estimation; and 2) recent development and challenging problems of power system state estimation. The first part includes formulation of power system state estimation and typical approaches of solutions (weighted least square approach and least absolute value approach), network observability, and bad data identification and detection, while the second part includes measurement placement with PMU considerations, integration of PMU measurements in state estimation, tracking state estimator for smart grid, detection of topology errors, detection of multiple bad data, and robustness of state estimation. Illustrative examples will be utilized in the tutorial to help explain the techniques and algorithms used in power state estimation.

Objectives

The objectives of this tutorial are to make the audience to:
1) Understand the basic concepts of power system state estimation
2) Understand the fundamental techniques or algorithms used in power system state estimation
3) Understand the role and importance of state estimation in power system daily operations
4) Know how to solve typical problems of power system state estimation
5) Grasp the newly developed techniques or algorithms in state estimation
6) Be aware of the challenging problems of power system state estimation
7) Know the role change of state estimation in smart grid

Timeline

The time allocations:
(a) 2 hours: Basic and important topics in power system state estimation
(b) 1 hour: recent development and challenging problems in power system state estimation

Background Knowledge Expected of the Participants

Power engineers or those who are interested in power system state estimation with a background of electrical engineering.

Qualifications of the Instructor(s)

The instructor started his Ph.D. dissertation in power system state estimation under the supervision of Prof. Ali Abur at Texas A&M in 1997. During his Ph.D. study, he conducted research in harmonic state estimation, waveform tracking state estimation, state estimation observability analysis, and state estimation with FACTs devices. After his graduation, he worked at ABB Automation and Control, Santa Clara, CA from 2000 to 2002 as a power system application engineer, where he dealt with real problems of power system state estimation. After he joined the University of Texas at Arlington in 2003, he continued his research in state estimation and published papers in state estimation observability analysis, tracking state estimator, optimal PMU placements, bad data detection.

Prof. Bei Gou received the B.S. degree in electrical engineering from the North China University of Electric Power, China, in 1990 and the M.S. degree from Shanghai JiaoTong University, China, in 1993. From 1993 to 1996, he taught in the Department of Electric Power Engineering at Shanghai JiaoTong University. He worked as a research assistant at Texas A & M University starting in 1997, and he received his Ph.D. degree in 2000. He worked at ABB Energy Information Systems, Santa Clara, CA for two years, and at ISO New England for one year as a senior analyst. He joined the Energy Systems Research Center (ESRC) at the University of Texas at Arlington as assistant professor from 2003 to 2008. He is the founder of Smart Electric Grid, LLC. Dr. Gou is currently an associate professor at the Department of Electrical and Computer Engineering at North Dakota State University (NDSU). His main interests are power system state estimation, blackouts and cascading failures, power market operations, fuel cell modeling and control and renewable energy, power quality, power system reliability, and fault analysis.

References

[1]	fiogf49gjkf0d Bei Gou and Weibiao Wu, “Enhancement of Power System State Estimation” in the book "Energy Management / Book 2", ISBN 978-953-307-1410-1, 2011. (Book Chapter)
[2]	Bei Gou, “Generalized Optimal PMU Placement Using Integer Linear Programming.” IEEE Transactions on Power Systems, Vol. 23, No. 3, pp:1525 - 1526, 2008.
[3]	Bei Gou, “Optimal Placement of PMUs by Integer Linear Programming.” IEEE Transactions on Power Systems, Vol. 23, No. 3, pp:1099 – 1104, 2008.
[4]	Bei Gou, “Observability Analysis for Hactel's Augmented Matrix Method.” Electric Power System Research. Vol. 77, No. 7, May 2007, pp: 865-875.
[5]	Bei Gou, “Jacobian Matrix Based Observability Analysis for State Estimation.” IEEE Transactions on Power Systems. Vol. 21, No. 1, Feb. 2006, pp. 348–356.
[6]	Bei Gou, Luo Cheng, and Ferdinanda Ponci, “A Novel Waveform Tracking Monitor for Power Systems.” IEEE Transaction on Power Systems, Vol. 21, No. 4, Nov. 2006, pp. 1874–1882.
[7]	Bei Gou and Ali Abur, “A Non-Iterative Numerical Method of Measurement Placement for Observability Analysis.” IEEE Trans. On Power Systems, Vol. 16, No. 4, November 2001, pp. 819–824.
[8]	Bei Gou and Ali Abur, “A Direct Numerical Method for Observability Analysis.” IEEE Transactions on Power Systems, Vol. 15, No. 2, May 2000, pp. 625–631.
[9]	Bei Gou and Ali Abur, “A Tracking State Estimator for Nonsinuoidal Periodic Steady-State Operation.” IEEE Transactions on Power Delivery, Vol. 13, No. 4, Oct. 1998, pp.1509–1514.
[10]	Bei Gou, Yunzhi cheng, and Weibiao Wu, “A New Topology Error Detection Approach for Power System State Estimation.” Accepted to present in IEEE PES General Meeting 2008.
[11]	Xiao Hu, Yunzhi Cheng, and Bei Gou, “A Linear State Estimator Using Synchronized Phasor Measurements”, Accepted by IEEE PES General Meeting 2008.
[12]	Yunzhi Cheng, Xiao Hu and Bei Gou, “A New State Estimation Using Synchronized Phasor Measurements.” Accepted by International Symposium on Circuits and Systems (ISCAS), Seattle, USA, 2008.
[13]	Xiao Hu and Bei Gou, “A Robust Power System State Estimator.” proceeding of CIGRÉ Canada Conference, 2007.
[14]	Bei Gou, Cheng Luo, and Ferdinanda Ponci, “Waveform Tracking Monitor for Power Distribution Systems.” The Proceedings of IEEE PES General Meeting, San Francisco, USA, 2005.
[15]	Bei Gou, “Observability Analysis by Measurement Jacobian Matrix for State Estimation.” Accepted to present at IEEE International Symposium on Circuits and Systems, Japan, 2005.
[16]	Bei Gou, “Extension of Observability Analysis to Hachtel’s Augmented Matrix.” Accepted to present at IEEE International Symposium on Circuits and Systems, Japan, 2005.
[17]	Bei Gou and Ali Abur, “A New Measurement Placement Method for State Estimation. ISCAS 2000.” Proceedings of the 1999 IEEE International Symposium on Circuits and Systems. Norway, 2000.
[18]	Bei Gou and Ali Abur: “Optimal Capacitor Placement Including Harmonics Considering in Power Systems.” Proceedings of IEEE PES Summer Meeting, 1999.
[19]	Ali Abur, Bei Gou, and E. Acha, “State Estimation of Networks Containing Power Flow Control Devices,” The 13th Power System Computation Conference (PSCC), Norway, 1999.
[20]	Bei Gou and Ali Abur, “A Simple Method to Determine Observable Islands for State Estimation. ISCAS '99.” Proceedings of the 1999 IEEE International Symposium on Circuits and Systems, Orlando, Florida, 1999.
[21]	Bei Gou and Ali Abur, “Estimation of Nonsinuoidal Bus Voltage Waveforms in Power Systems. ISCAS’98.” Proceedings of the 1998 IEEE International Symposium on Circuits and Systems, Monterey, CA, USA, 1998.
[22]	Bei Gou, Ali Abur, and A. Chan, “Analysis of Transmission Line Faults by Prony Method.” 30th North American Power Symposium, Cleveland State University, Cleveland, Ohio, USA, 1998.
[23]	Bei Gou and Ali Abur: “Harmonic State Estimation Using Synchronized Sampling.” 29th North American Power Symposium, University of Wyoming, Laramie, Wyoming, USA, 1997.