Two-level PMU-based Linear State Estimator

被引：0

作者：

Yang, Tao ^{[1
]}

Sun, Hongbin ^{[2
]}

Bose, Anjan ^{[1
]}

机构：

[1] Washington State Univ, Pullman, WA 99163 USA

[2] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China

来源：

2009 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION, VOLS 1-3 | 2009年

关键词：

PMU; Linear State Estimation; Distributed Database; DISTRIBUTION NETWORKS;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The State Estimator function in a control center today is a suite of three programs solved sequentially: Topology Processing, State Estimation, and Bad Data Detection. Identification. The state estimation equations are nonlinear because the inputs are mostly real and reactive power measurements. A linear state estimator is possible if the inputs are only complex currents and voltages and if there are enough such measurements to meet observability and redundancy requirements. The main contribution in this paper is the suggestion that the Topology Processing function and the Bad Data Detection-Identification be done at each substation rather than at the control center. It is shown how this two-level processing is faster and more accurate leaving the control center level state estimator solution free of the bad data errors that are major problems today.

引用

页码：265 / +

页数：2

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