DocumentCode :
771422
Title :
Use of scaling in WLAV estimation of power system states
Author :
Çelik, Mehmet K. ; Abur, Ali
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
7
Issue :
2
fYear :
1992
fDate :
5/1/1992 12:00:00 AM
Firstpage :
684
Lastpage :
692
Abstract :
The authors present the results of employing a particular scaling strategy in weighted least absolute value (WLAV) state estimation of various test systems of sizes as large as 1500 buses. Apart from the effects of scaling on the leverage points and the robustness of the estimator, effects on computational speed and the dependence of these effects on the measurement types are also investigated. Simulation results indicate that scaling not only helps to reduce the leveraging effects but also improves the computational performance by decreasing the required number of Simplex iterations
Keywords :
iterative methods; linear programming; power system analysis computing; state estimation; Simplex iterations; buses; leverage points; linear programming; performance; power system analysis computing; scaling; state estimation; weighted least absolute value; Computational efficiency; Equations; Linear programming; Numerical stability; Power system measurements; Power system simulation; Power system stability; Power systems; Robustness; State estimation;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.141774
Filename :
141774
Link To Document :
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