Fuzzy Modeling for Analysis of Load Curve in Power System

Authors:
Pei-Hwa Huang;Ta-Hsiu Tseng;Chien-Heng Liu;Guang-Zhong Fan
Affiliations:
Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan 20224;Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan 20224;Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan 20224;Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan 20224
Venue:
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Year:
2009

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Abstract

The main purpose of this paper is to study the use of fuzzy modeling for the analysis of customer load characteristics in power system. A fuzzy model is a collection of fuzzy IF-THEN rules for describing the features or behaviors of the data set or system under study. In view of the nonlinear characteristics of customer load demand with respect to time, the method of fuzzy modeling is adopted for analyzing the studied daily load curves. Based on the Sugeno-type fuzzy model, various models with different numbers of modeling rules have been constructed for describing the investigated power curve. Sample results are demonstrated for illustrating the effectiveness of the fuzzy model in the study of power system load curves.