A Geometrical View for Multiple Gross Errors Detection, Identification, and Correction in Power System State Estimation

被引:51
|
作者
Bretas, Newton G. [1 ]
Piereti, Saulo A. [2 ]
Bretas, Arturo S. [3 ]
Martins, Andre C. P. [4 ]
机构
[1] Univ Sao Paulo, EESC, Dept Elect Engn, Sao Carlos, SP, Brazil
[2] Inst Fed Tecnol Mato Grosso, Dept Elect Engn, Cuiaba, Brazil
[3] Univ Fed Rio Grande do Sul, Dept Elect Engn, BR-90046900 Porto Alegre, RS, Brazil
[4] Univ State Sao Paulo, Dept Elect Engn, FEB, Sao Paulo, Brazil
基金
巴西圣保罗研究基金会;
关键词
Composing errors; gross errors analysis; orthogonal projections; recovering errors; state estimation; INTERACTING BAD DATA; PLACEMENT; PMUS;
D O I
10.1109/TPWRS.2012.2234768
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 a geometrical approach is described to detect, identify, and recover multiple gross errors in power system state estimation. Using the classical WLS estimator, the measurement residuals is computed, and then the error is composed. For the detection and identification of the measurements with gross errors, the composed measurement error in the normalized form (CMEN) is used. The measurement magnitude corrections otherwise are performed using the composed normalized measurement error (CNE). To give support to the detection and identification of the measurements containing gross errors, a generalization of the classical largest normalized residual test is provided. The IEEE 14-bus system as well as the reduced 45-bus Power System of the Brazil South is used to test the multiple gross error detection, identification, and correction efficiency.
引用
收藏
页码:2128 / 2135
页数:8
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