估计员
观测误差
估计
国家(计算机科学)
测量不确定度
功能(生物学)
算法
直线(几何图形)
计算机科学
数学
样品(材料)
特征(语言学)
统计
工程类
色谱法
语言学
进化生物学
生物
哲学
几何学
化学
系统工程
出处
期刊:IEEE Transactions on Power Systems
[Institute of Electrical and Electronics Engineers]
日期:2004-11-01
卷期号:19 (4): 2006-2013
被引量:31
标识
DOI:10.1109/tpwrs.2004.836182
摘要
This paper describes an approach for choosing and updating measurement weights used in weighted least squares (WLS) state estimation. Since the weights are related to the measurement error variances, sample variances are estimated using historical data from previous measurement scans and the corresponding WLS estimation results. The proposed approach can be implemented as a one-time estimation function for off-line execution or as a recursive function for updating the measurement weights on-line. Simulated measurement data and state estimation results are used to test and verify the accuracy of the proposed method. The proposed method can be integrated into an existing WLS state estimator as an added feature.
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