Dynamic load model using PSO-Based parameter estimation

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

*この研究の対応する著者

研究成果: Article査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)557-566
ページ数10
ジャーナルIEEJ Transactions on Power and Energy
131
7
DOI
出版ステータスPublished - 2011

ASJC Scopus subject areas

  • エネルギー工学および電力技術
  • 電子工学および電気工学

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