Optimal power flow (OPF) is one of the nonlinear problems of power system. The various

algorithms for solving optimal power flow problem are found in the literature. The genetic algorithm

(GA) based solution techniques are found to be most suitable because of their ability of

simultaneous multidimensional search for optimal solution. This paper presents a novel GA-Fuzzy

based approach for solving OPF. The GA parameters e.g. crossover and mutation probabilities are

governed by fuzzy rule base. Algorithms for GA-OPF and GA-Fuzzy (GAF) OPF are developed

and compared. The results obtained for these systems demonstrate that the GAF-OPF has faster

convergence and lesser generation costs as compared to various methods tested for above systems.

KEYWORDS: optimal power flow, genetic algorithm, GA-Fuzzy approach

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