Fuzzy Modeling of Large Power Systems
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.
L. Acar et al., "Fuzzy Modeling of Large Power Systems," Proceedings of the IEEE Power Engineering Society General Meeting (2003, Toronto, Canada), vol. 2, pp. 794-799, Institute of Electrical and Electronics Engineers (IEEE), Jul 2003.
The definitive version is available at https://doi.org/10.1109/PES.2003.1270408
IEEE Power Engineering Society General Meeting (2003: Jul. 13-17, Toronto, Canada)
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)
Article - Conference proceedings
© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jul 2003