A genetic algorithm based approach to economic load dispatching

This paper presents a two-phase genetic algorithm for economic load dispatching of generators in power systems. The problem of ELD is expressed as a Lagrange function. The conventional GA has a drawback that the algorithm is not so effective as the number of variables increases. To improve the GA characteristic, a two-phase GA is proposed to obtain better solutions. The proposed genetic algorithm may be applied to minimize the Lagrange function with respect to the generator unit output. The effectiveness of the proposed method is demonstrated in a 20-unit system.