Multi Fuels Allocation for Power Generation using Genetic Algorithm

Abstract

Abstract. This paper presents solution of optimal multi fuels allocation for electric power generation planning problem via a genetic algorithm ( GA). The objective is to maximize the electric power energy output and minimize the fuels cost. This is a considerably difficult problem because of its data variation.GA can provide an appropriate heuristic search method and return an actual or near optimal solution. This research used some heuristic in addition during crossover and mutation for tuning the system to obtain a better candidate solution.An experimental resultshowed a significantly improve result compared to other techniques.