A Robust State Estimation Method Based on Exponential Weight Functions

doi:10.11930/j.issn.1004-9649.2013.4.69.4

Abstract

Abstract: State estimation of power system is the basis of all the high level application and analysis for dispatch centers. Against the bad convergence of the WLAV(weighted least absolute value)-based state estimation method, a new robust state estimation method based on exponential weight function (E-LAV) is presented in the paper. This method uses an exponential weight function to replace the discontinues function of WLAV to improve the poor convergence. The results of the sample system of 4-node system and the IEEE 118-node system show that the E-LAV-based state estimation method not only owns the similar convergence as WLS-based method, and also owns a strong robustness. Through modifying the weight matrix of the least squares, the proposed new method has good prospects for application in practical engineering.

Key words: power system, robust state estimation, exponential weight function, weighted least absolute value

CLC Number:

TM744

CAI Ning-lu, YAO Li, LIN Ji-keng, WANG Gang, WANG Wen-jie, LUO Wei-hua, LIU Tao, WANG Xu-dong. A Robust State Estimation Method Based on Exponential Weight Functions[J]. Electric Power, 2013, 46(4): 69-73.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2013.4.69.4

https://www.electricpower.com.cn/EN/Y2013/V46/I4/69

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