Dynamic load model using PSO-Based parameter estimation

Hisao Taoka*, Junya Matsuki, Michiya Tomoda, Yasuhiro Hayashi, Yoshio Yamagishi, Norikazu Kanao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


This paper presents a new method for estimating unknown parameters of dynamic load model as a parallel composite of a constant impedance load and an induction motor behind a series constant reactance. An adequate dynamic load model is essential for evaluating power system stability, and this model can represent the behavior of actual load by using appropriate parameters. However, the problem of this model is that a lot of parameters are necessary and it is not easy to estimate a lot of unknown parameters. We propose an estimating method based on Particle Swarm Optimization (PSO) which is a non-linear optimization method by using the data of voltage, active power and reactive power measured at voltage sag.

Original languageEnglish
Pages (from-to)557-566
Number of pages10
JournalIEEJ Transactions on Power and Energy
Issue number7
Publication statusPublished - 2011


  • Dynamic load model
  • Induction motor
  • Parameter estimation
  • Particle swarm optimization
  • Voltage sag

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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