Title

Fuzzy Modeling of Large Power Systems

Abstract

The fuzzy set theory is commonly used in analysis of nonlinear system. There are many approaches to build small fuzzy systems, but as the dimensions of a fuzzy system increase, the fuzzy rules increase exponentially. Thus, when a system has hundreds of variables, the use of classical methods to build a fuzzy model for the large-scale system becomes unpractical. In this paper, we take advantage of the topology of a large-scale power network to build the fuzzy model. Clustering method is used to build the fuzzy model. Newton-Raphson method and cell-to-cell mapping method is used to solve the fuzzy model.

Meeting Name

IEEE Power Engineering Society General Meeting (2003: Jul. 13-17, Toronto, Canada)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Cell intersection; Cell-to-cell mapping; Defuzzification; Large power systems; Newton-Raphson method; Algorithms; Electric potential; Electric power systems; Functions; Fuzzy sets; Mathematical models; Nonlinear systems; Parameter estimation; Problem solving; Large scale systems

International Standard Book Number (ISBN)

0-7803-7989-6

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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