Dynamic Load Model using PSO-Based Parameter Estimation

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  • Taoka Hisao
    Graduate School of Electrical and Electronics Engineering, University of Fukui
  • Matsuki Junya
    Graduate School of Electrical and Electronics Engineering, University of Fukui
  • Tomoda Michiya
    Graduate School of Electrical and Electronics Engineering, University of Fukui
  • Hayashi Yasuhiro
    Graduate School of Advanced Science and Engineering, Major in Electrical Engineering and Bioscience, Waseda University
  • Yamagishi Yoshio
    Engineering Research & Development Center, Hokuriku Electric Power Company
  • Kanao Norikazu
    Engineering Research & Development Center, Hokuriku Electric Power Company

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  • PSOによるパラメータ推定を適用した動的負荷モデルの構築
  • PSO ニ ヨル パラメータ スイテイ オ テキヨウ シタ ドウテキ フカ モデル ノ コウチク

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Abstract

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.

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