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A new technique using a search method which is based on fuzzy multi-criteria function is proposed for GMS(generator maintenance scheduling) in order to consider multi-objective function. Not only minimization of probabilistic production cost but also maximization of system reliability level are considered for fuzzy multi-criteria function. To obtain an optimal solution for generator main- tenance scheduling under fuzzy environment, fuzzy multi-criteria relaxation method(fuzzy search method) is used. The practicality and effectiveness of the proposed approach are demonstrated by simulation studies for a real size power system model in Korea in 2010. by fuzzy search method has been developed. It is expected that more flexible solution can be obtained because fuzzy set theory that can reflect the subjective decision of deci- sion-maker has been used in this study(7)-(11). An alterna- tive method for flexible GMS using various kinds of objec- tive functions is proposed in this paper. The effectiveness of the proposed approach are demonstrated by simulation studies of a real size power system model.

Flexible Maintenance Scheduling of Generation System by Multi-Probabilistic Reliability Criterion in Korea Power System