Genetic Algorithm Solution for Economic Dispatch at Khartoum North Power Station

Abstract

in this paper, genetic algorithm (GA) solution to the economic dispatch problem at Khartoum North Power Station is presented. The study uses GA to perfectly fix the fuel consumption problem. GA is a highly nominated way to solve such complicated system. The fuel-cost equations for each generator in the station have been formulated to satisfy specific constrains. The implementation of the algorithm involves two modules: knowledge module; holds decision making elements and genetic module, holds the optimization components such as selection, crossover, mutation and number of generation. The algorithm works through designed procedure from which the global optima solution reached. The results of the study revealed that the fuel cost reduced by 64005.12€/year compared with those obtained from the station.