Fuzzy Mutated Evolutionary Programming Based Algorithm for Multi-Objective Reactive Power Optimization
نویسندگان
چکیده
This paper presents an efficient and simple approach for solving the Multiobjective reactive power optimization problem. Fuzzy Logic has been applied in combination with Evolutionary Programming (EP). In order to have a better convergence in EP the mutation process is incorporated with Fuzzy Logic which leads to an improved technique called as Fuzzy Mutated Evolutionary Programming (FMEP). The solution method determines the optimal setting of the reactive power sources to minimize the losses and cost of the VAR sources and to improve the voltage profile. The proposed method has been tested on a standard 9 bus system and IEEE 30 bus system.The result shows the good performance of the proposed algorithm.
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