Robust State Estimator Based on Maximum Normal Measurement Rate

被引：50
|
作者：
He, Guangyu [1 ]
Dong, Shufeng [1 ]
Qi, Junjian [1 ]
Wang, Yating [1 ]
机构：
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 2011年 / 26卷 / 04期
关键词：
Normal measurement rate; robust state estimation; uncertainty in measurement; BAD DATA IDENTIFICATION; POWER-FLOW PROBLEMS; DATA REJECTION; IMPLEMENTATION; OPTIMIZATION; SYSTEMS; MODEL;
D O I：
10.1109/TPWRS.2011.2131157
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, the concept of normal measurement rate (NMR) is defined based on the theory of uncertainty in measurement and a robust state estimator named maximum normal measurement rate (MNMR) estimator is proposed. Comparison is made between the MNMR estimator and other robust estimators. The robustness and precision of this estimator is tested with the IEEE 14-bus, 30-bus, and 118-bus systems. Simulation results show that the MNMR estimator is effective in identifying bad data and is also time efficient.
引用
收藏
页码：2058 / 2065
页数：8
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