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K. Afshar and N. Bigdeli
Journal of Applied Sciences, 2008, 8(18), 3249-3254.
In this study a hybrid method for determining of operating reserve in the well-being framework is introduced. The new framework and optimization method are respectively based on fuzzy and genetic. The probability of being in the risk state and the probability of being in the healthy state constraints are considered as soft limits in the proposed framework. Genetic Algorithm (GA) is used for solving fuzzy well-being Unit Commitment Problem (UCP). Using total operating cost of generating units plus a penalty function which is determined by the fuzzy risk and healthy probabilities, a fitness function is determined. The proposed method has been applied to the IEEE reliability test system to examine its applicability and effectiveness.
ASCI-ID: 35-2615
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