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http://dx.doi.org/10.5370/JEET.2009.4.2.175

Optimal Measurement Placement for Static Harmonic State Estimation in the Power Systems based on Genetic Algorithm  

Dehkordl, Behzad Mirzaeian (Department of Electrical Engineering, Faculty of Engineering, University of Isfahan)
Fesharaki, Fariborz Haghighatdar (Department of Electrical Engineering, Faculty of Engineering, University of Isfahan)
Kiyournarsi, Arash (Department of Electrical Engineering, Faculty of Engineering, University of Isfahan)
Publication Information
Journal of Electrical Engineering and Technology / v.4, no.2, 2009 , pp. 175-184 More about this Journal
Abstract
In this paper, a method for optimal measurement placement in the problem of static harmonic state estimation in power systems is proposed. At first, for achieving to a suitable method by considering the precision factor of the estimation, a procedure based on Genetic Algorithm (GA) for optimal placement is suggested. Optimal placement by regarding the precision factor has an evident solution, and the proposed method is successful in achieving the mentioned solution. But, the previous applied method, which is called the Sequential Elimination (SE) algorithm, can not achieve to the evident solution of the mentioned problem. Finally, considering both precision and economic factors together in solving the optimal placement problem, a practical method based on GA is proposed. The simulation results are shown an improvement in the precision of the estimation by using the proposed method.
Keywords
Genetic algorithms; Measurement placement; Optimization; Static harmonic State estimation;
Citations & Related Records

Times Cited By SCOPUS : 1
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