Economic Dispatch of Thermal Units: A Comparison of PSO and JAYA Algorithms

Abstract

Economic load dispatch (ELD) problem becomes highly complex combinatorial exercise on account of satisfying various operational constraints pertaining to generator and transmission network. The introduction of non-convexity and discreteness in the fuel cost function owing to generator constraints has shifted the focus of researchers towards metaheuristic techniques while solving ELD problem. Metaheuristic techniques, however, usually suffer from hectic tuning of control parameters. Recently, JAYA algorithm is developed which is being free from control parameters. JAYA algorithm is derived from particle swarm optimization (PSO) which needs parameter tuning. Therefore, this paper presents a comparative study about PSO and JAYA algorithm when applied to solve multi-constrained hard combinatorial ELD problem. PSO and JAYA algorithms are investigated on a well-known large-scale optimization ELD problem of 40 generator test generating system. The results of study are presented.