Genetic algorithm for solving large practical fuzzy economic load dispatch with prohibited operating zones

This paper presents an application of genetic algorithms to the fuzzy formulation of the economic load dispatch problem with prohibited operating zones in power plant. We attempt to apply these genetic algorithms to the fuzzy mathematical programming problem which involve imprecise (uncertainty) information. The principle objective in this paper is how to attribute a fuzzy set in the building of the economic power dispatch problem. In order to show the effectiveness of the method is tested on 6-unit system compared with some of the current global optimization methods (ESO, GA, PSO, and EEA). This comparison reveal the efficient and robustness of the proposed algorithm.