多目标函数预抗差估计

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Abstract Traditional weighted least square state estimation method with bad data identification progress cannot eliminate the influence of bad leverage data on the result of estimation. The multi objective function pre-treatment robust state estimation was proposed. This estimation use variable window wide algorithm choose the best parameter for maximum exponential square object function , and combined weighted least square estimation to get advantages of both estimator.It was robust and had good convergence. The result of estimation of test systems proved the proposed algorithm have obvious better performance.

Key words： power system state estimation multi objective function pre-treatment variable weight iterate robust estimation

Published: 20 April 2016

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	Articles by authors
	Li Xiao
	Gao Zonghe
	Gong Chengming
	Wang Yi
	Zou Dehu

Cite this article:

Li Xiao,Gao Zonghe,Gong Chengming等. Multi Objective Function Pre-treatment Robust State Estimation[J]. Electrical Engineering, 2016, 17(4): 59-62.

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http://dqjs.cesmedia.cn/EN/Y2016/V17/I4/59

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