Title :
A geometrical view for multiple gross errors detection, identification, and correction in power system state estimation
Author :
Bretas, Newton ; Piereti, Saulo ; Martins, Alfredo
Author_Institution :
Electr. Eng. Dept., Univ. of Sao Paulo-EESC, Sao Paulo, Brazil
Abstract :
Summary form only given. In this paper it is described a geometrical approach 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 for (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 version of the largest normalized composed error 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.
Keywords :
measurement errors; power system measurement; power system state estimation; Brazil South; IEEE-14 bus system; classical WLS estimator; composed normalized measurement error; gross errors detection; largest normalized composed error test; measurement magnitude corrections; measurement residuals; power system state estimation; reduced 45-bus power system; Educational institutions; Measurement errors; Measurement uncertainty; Power systems; State estimation;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6673061