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http://dx.doi.org/10.5370/JEET.2013.8.3.464

Hybrid PSO-Complex Algorithm Based Parameter Identification for a Composite Load Model  

Del Castillo, Manuelito Y. Jr. (Dept. of Electrical Engineering, Seoul Nat'l University of Science and Technology)
Song, Hwachang (Dept. of Electrical and Inform. Eng., Seoul Nat'l Univ. of Science and Tech.)
Lee, Byongjun (School of Electrical Engineering, Korea University)
Publication Information
Journal of Electrical Engineering and Technology / v.8, no.3, 2013 , pp. 464-471 More about this Journal
Abstract
This paper proposes a hybrid searching algorithm based on parameter identification for power system load models. Hybrid searching was performed by the combination of particle swarm optimization (PSO) and a complex method, which enhances the convergence of solutions closer to minima and takes advantage of global searching with PSO. In this paper, the load model of interest is composed of a ZIP model and a third-order model for induction motors for stability analysis, and parameter sets are obtained that best-fit the output measurement data using the hybrid search. The origin of the hybrid method is to further apply the complex method as a local search for finding better solutions using the selected particles from the performed PSO procedure.
Keywords
Composite load model; Complex method; Hybrid search; Parameter identification; Particle swarm optimization;
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