Journal of Electrical Engineering and Technology

  • 제8권3호
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  • Pages.464-471
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  • 2013
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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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)
  • 투고 : 2012.06.25
  • 심사 : 2012.12.23
  • 발행 : 2013.05.01
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초록

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.

키워드

참고문헌

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피인용 문헌

  1. Fast and Reliable Estimation of Composite Load Model Parameters Using Analytical Similarity of Parameter Sensitivity vol.31, pp.1, 2016, https://doi.org/10.1109/TPWRS.2015.2409116
  2. Development of the automatic load modelling system using PQM data on industry site vol.7, pp.1, 2017, https://doi.org/10.1080/22348972.2016.1158350