Fuzzy modeling of large power systems

Author

Acar, L. ; Chowdhury, B.H. ; Crow, M.L. ; Guo, J.

Author_Institution

ECE Dept., Missouri Univ., Rolla, MO, USA

Volume

2

fYear

2003

fDate

13-17 July 2003

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.

Keywords

Newton-Raphson method; fuzzy set theory; fuzzy systems; large-scale systems; network topology; nonlinear network analysis; Newton-Raphson method; cell intersection; cell-to-cell mapping; clustering method; defuzzification; fuzzy set theory; fuzzy system; large-scale power systems; network topology; nonlinear system analysis; Equations; Fuzzy systems; Large-scale systems; Load flow; Nonlinear systems; Power generation; Power grids; Power system dynamics; Power system modeling; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society General Meeting, 2003, IEEE

Print_ISBN

0-7803-7989-6

Type

conf

DOI

10.1109/PES.2003.1270408

Filename

1270408