Comprehensive Learning Particle Swarm Optimization for economic load dispatch

Abstract

This paper presents a heuristic optimization approach to constrained economic load dispatch (ELD) problems using the Comprehensive Learning Particle Swarm Optimization (CLPSO) technique. Different non-linear characteristics of the generator such as transmission losses, prohibited operating zones and non-smoothness of cost functions are considered. The feasibility of the proposed technique is performed for two test systems with different numbers of generating units, and compared with the Differential Evolution (DE) and Particle Swarm Optimization (PSO) techniques. The findings affirmed the robustness, fast convergence and proficiency of the proposed methodology over other existing techniques.