Economic load dispatch problem is an optimization problem where objective function is highly non linear, non-convex, non differentiable and may have multiple local minima. Therefore, classical optimization methods may not converge or get trapped to any local minima. This paper presents a comparative study of three different evolutionary algorithms i.e. differential evolution, artificial bee colony algorithm and particle swarm optimization for solving the economic load dispatch problem. All the methods are tested on 3-units and 6-units test system. Simulation results are presented to show the comparative performance of these methods.

AbstrakMakalah ini menyajikan suatu algoritma simulated annealing (SA)