In this study, a novel method for selecting optimal size of branch conductor of radial distribution feeders based on Fuzzy Evolutionary Programming (FEP) is proposed. The aim of optimal conductor size selection is to select a feeder so as to minimize an objective function, which consists of capital investment and capitalized energy loss costs. A fuzzy based satisfaction parameter is proposed which handles voltage deviation index, power quality index and cost function. The proposed parameter is used to generate different combinations of conductors to obtain optimal solution vector. The effectiveness of the proposed method is illustrated with two examples consisting of 32 bus and 26 bus radial distribution systems.
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