SOLUTION OF ECONOMIC DISPATCH PROBLEM USING EVOLUTIONARY PROGRAMMING TECHNIQUES

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This paper presents a comparison between various methods used to solve economic dispatch (ED) problem. These methods are heuristic methods such as Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) algorithm. Comparisons between these heuristic methods and conventional methods such as Interior Point method (IPM) are introduced. The objective function that consists of the fuel (generation) cost is minimized. Numerical examples typical to each method are presented. The solutions method adopted has yielded encouraging results that proved useful in the improvement of economic dispatch environment.

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