Economic Load Dispatch for Non-Smooth Cost Functions Using Particle Swarm Optimization

Absfmct-This paper presents a new approach to economic load dispatch (ELD) problems with non-smwth objective functions using a particle swarm optimization (PSO). In practice, ELD problems have non-smooth objective functions with equality and inequality constraints that make it difficult to find the global optimum using any mathematical approaches. In this paper, a new PSO framework is suggested to deal with the equality and inequality constraints in ELD problems. The proposed PSO can always provide solution(s) satisfying the constraints within a realistic amputation time and is devised nut to interrupt the dynamic process inherent in the conventional PSO. To show its efficiency and effectiveness, the proposed PSO is applied to sample ELD problems with smooth cnst functions as well as with non-smooth cost functions. The results of the proposed PSO are compared with those of the conventional numerid method, evolutionary programming approach, and the modified Hopfield neural network approach.