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LOLE(Loss of Load Expctatiom) Evaluation using Fuzzy Set Theory

  • 심재홍 (한양대 대학원 전기공학과 석사졸업) ;
  • 정현수 (한양대 대학원 전기공학과) ;
  • 김진오 (한양대 전기공학과 부교수·공박)
  • 발행 : 1999.09.01

초록

This paper present a conceptual possibilistic approach using fuzzy set theory to manage the uncertainties in the given reliability input date of the practical power system. In this paper, an algorithm is introduced to calculate the possibilstic reliability indices according to the degree of uncertainty in the given data. The probability distribution function can be transformed into an appropriate possibilstic representation using the probability-Possibility Consistency principle(PPCP) algorithm. In this the algorithm, the transformation is performation by making a compromise between the transformation consistency and the human updating experience. Fuzzy classifcation theory is applied to reduced the number of load data. The fuzzy classification method determines the closeness of load data points by assigning them to various clusters and then determening the distance between the clusters. The IEEE-RTS with 32-generating units is used to demonstrate the capability of the proposed algorithm.

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