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A Study on the Fuzzy ELDC of Composite Power System Based on Probabilistic and Fuzzy Set Theories  

Park, Jaeseok (Department of Electrical Engineering, Gyeongsang National University)
Kim, Hongsik (Department of Electrical Engineering, Gyeongsang National University)
Seungpil Moon (Department of Electrical Engineering, Gyeongsang National University)
Junmin Cha (Department of Electrical Engineering, Daejin University)
Park, Daeseok (Department of Electrical Engineering Korea University of Technology and Education)
Roy Billinton (Electrical Engineering Department, University of Saskatchewan, Canada)
Publication Information
KIEE International Transactions on Power Engineering / v.2A, no.3, 2002 , pp. 95-101 More about this Journal
Abstract
This paper illustrates a new fuzzy effective load model for probabilistic and fuzzy production cost simulation of the load point of the composite power system. A model for reliability evaluation of a transmission system using the fuzzy set theory is proposed for considering the flexibility or ambiguity of capacity limitation and overload of transmission lines, which are subjective matter characteristics. A conventional probabilistic approach was also used to model the uncertainties related to the objective matters for forced outage rates of generators and transmission lines in the new model. The methodology is formulated in order to consider the flexibility or ambiguity of load forecasting as well as capacity limitation and overload of transmission lines. It is expected that the Fuzzy CMELDC (CoMposite power system Effective Load Duration Curve) proposed in this study will provide some solutions to many problems based on nodal and decentralized operation and control of an electric power systems in a competitive environment in the future. The characteristics of this new model are illustrated by some case studies of a very simple test system.
Keywords
fuzzy effective load; fuzzy effective load duration curve; flexibility and ambiguity; over load of transmission lines; composite power system; integral convolution;
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