Identification of Dynamic Load Model Parameters Using Particle Swarm Optimization

Research output: Contribution to journalArticlepeer-review

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
Pages (from-to)128-133
Number of pages6
JournalInternational Journal of Fuzzy Logic and Intelligent Systems
Volume10
Issue number2
DOIs
StatePublished - Jun 2010

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