T-S fuzzy modeling of synchronous generator in a power system

Hee Jin Lee, Seung Mook Baek, Jung Wook Park

Research output: Contribution to journalArticle

Abstract

The dynamic behavior of power systems is affected by the interactions between linear and nonlinear components. To analyze those complicated power systems, the linear approaches have been widely used so far. Especially, a synchronous generator has been designed by using linear models and traditional techniques. However, due to its wide operating range, complex dynamics, transient performances, and its nonlinearities, it cannot be accurately modeled as linear methods based on small-signal analysis. This paper describes an application of the Takaki-Sugeno (T-S) fuzzy method to model the synchronous generator in a single-machine infinite bus (SMIB) system. The T-S fuzzy model can provide a highly nonlinear functional relation with a comparatively small number of fuzzy rules. The simulation results show that the proposed T-S fuzzy modeling captures all dynamic characteristics for the synchronous generator, which are exactly same as those by the conventional modeling method.

Original languageEnglish
Pages (from-to)1642-1651
Number of pages10
JournalTransactions of the Korean Institute of Electrical Engineers
Volume57
Issue number9
Publication statusPublished - 2008 Sep 1

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Synchronous generators
Signal analysis
Fuzzy rules

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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T-S fuzzy modeling of synchronous generator in a power system. / Lee, Hee Jin; Baek, Seung Mook; Park, Jung Wook.

In: Transactions of the Korean Institute of Electrical Engineers, Vol. 57, No. 9, 01.09.2008, p. 1642-1651.

Research output: Contribution to journalArticle

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