Identification of dynamic load model parameters using a hybrid PSO-simplex method

Hwachang Song, Byong Jun Lee

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This paper presents a method to estimate the parameters in a dynamic load model with ZIP and induction motor portions. The method adopts a hybrid optimization with particle swarm optimization (PSO) and downhill simplex method to find an adequate parameter set best-fitting the sampled data from the local measurement by minimizing the square deviation. The additional application of the simplex method further searches out better solutions locally using the selected particles from the PSO procedure.

Original languageEnglish
Pages (from-to)4021-4026
Number of pages6
JournalICIC Express Letters
Volume5
Issue number11
Publication statusPublished - 2011 Nov 1

Fingerprint

Dynamic loads
Particle swarm optimization (PSO)
Identification (control systems)
Induction motors

Keywords

  • Hybrid search
  • Load modeling
  • Parameter estimation
  • Particle swarm optimization
  • Simplex method

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering

Cite this

Identification of dynamic load model parameters using a hybrid PSO-simplex method. / Song, Hwachang; Lee, Byong Jun.

In: ICIC Express Letters, Vol. 5, No. 11, 01.11.2011, p. 4021-4026.

Research output: Contribution to journalArticle

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