Description: 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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