Induction generator model parameter estimation using improved particle swarm optimization and on-line response to a change in frequency

P. Regulski, F. González-Longatt, P. Wall, V. Terzija

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

An induction generator (IG) is preferred to a synchronous generator in many renewable energy applications. In order to achieve proper control of an induction generator it is important to have accurate knowledge of its model parameters. In this paper, an Improved Particle Swarm Optimization (IPSO) approach is used to estimate the model parameters of an IG. The IPSO is executed based on the response of the active and reactive power flows associated with the IG to a change in the frequency of the external system, which the IG is connected to. This change in frequency is applied when the IG is operating in steady state, to represent the scenario where the IG parameters must be estimated on-line, and during a large disturbance to the system equilibrium. This approach is in contrast to others in the literature that estimate the parameters of an induction machine based on its start-up behavior, or the results of mechanical tests. Therefore, this approach should offer benefits when the parameters of the IG being modeled may vary over time and need to be estimated on-line.

Original languageEnglish
Title of host publication2011 IEEE PES General Meeting
Subtitle of host publicationThe Electrification of Transportation and the Grid of the Future
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future - Detroit, MI, United States
Duration: 24 Jul 201128 Jul 2011

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future
Country/TerritoryUnited States
CityDetroit, MI
Period24/07/1128/07/11

Keywords

  • generator modeling
  • parameter estimation
  • particle swarm optimization

Fingerprint

Dive into the research topics of 'Induction generator model parameter estimation using improved particle swarm optimization and on-line response to a change in frequency'. Together they form a unique fingerprint.

Cite this