Particle swarm optimization based load model parameter identification

Young Gon Kim, Hwachang Song, Hong Rae Kim, Byongjun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

This paper presents a method for estimating the parameters of dynamic models for induction motor dominating loads. Using particle swarm optimization, the method finds the adequate set of parameters that best fit the sampling data from the measurement for a period of time, minimizing the error of the outputs, active and reactive power demands and satisfying the steady-state error criterion.

Original languageEnglish
Title of host publicationIEEE PES General Meeting, PES 2010
DOIs
Publication statusPublished - 2010
EventIEEE PES General Meeting, PES 2010 - Minneapolis, MN, United States
Duration: 2010 Jul 252010 Jul 29

Publication series

NameIEEE PES General Meeting, PES 2010

Other

OtherIEEE PES General Meeting, PES 2010
CountryUnited States
CityMinneapolis, MN
Period10/7/2510/7/29

Keywords

  • Dynamic load model
  • Parameter estimation
  • Particle swarm optimization
  • System identification

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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  • Cite this

    Kim, Y. G., Song, H., Kim, H. R., & Lee, B. (2010). Particle swarm optimization based load model parameter identification. In IEEE PES General Meeting, PES 2010 [5589394] (IEEE PES General Meeting, PES 2010). https://doi.org/10.1109/PES.2010.5589394