Combined Hybrid Differential Particle Swarm Optimization Approach for Economic Dispatch Problems

Abstract

The economic dispatch problem is concerned with the optimal allocation of a load among different generators for a given demand, minimizing fuel cost, emission, etc. This article presents a new, improved combined hybrid differential particle swarm optimization algorithm that combines hybrid differential evolution with particle swarm optimization for the solution of economic dispatch problems. This new algorithm combines the vibrancy and explorative nature of particle swarm optimization with the superior exploitative nature of hybrid differential evolution in such a manner that the merits of both remain intact. The results obtained are compared with a few other existing non-conventional methods, and the applicability and effectiveness of the proposed algorithm to power system optimization problems are indicated.