Dynamic load model using PSO-Based parameter estimation

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

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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.

    Original languageEnglish
    Pages (from-to)557-566
    Number of pages10
    JournalIEEJ Transactions on Power and Energy
    Volume131
    Issue number7
    DOIs
    Publication statusPublished - 2011

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    Keywords

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

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Energy Engineering and Power Technology

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