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

Hwachang Song, Byongjun Lee

    Research output: Contribution to journalArticlepeer-review

    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

    Keywords

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

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • General Computer Science

    Fingerprint

    Dive into the research topics of 'Identification of dynamic load model parameters using a hybrid PSO-simplex method'. Together they form a unique fingerprint.

    Cite this