International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 58 - Number 13 |
Year of Publication: 2012 |
Authors: Hardiansyah, Junaidi, Yohannes Ms |
10.5120/9344-3664 |
Hardiansyah, Junaidi, Yohannes Ms . Application of Soft Computing Methods for Economic Load Dispatch Problems. International Journal of Computer Applications. 58, 13 ( November 2012), 33-38. DOI=10.5120/9344-3664
Economic load dispatch problem is an optimization problem where objective function is highly non linear, non-convex, non differentiable and may have multiple local minima. Therefore, classical optimization methods may not converge or get trapped to any local minima. This paper presents a comparative study of three different evolutionary algorithms i. e. differential evolution, artificial bee colony algorithm and particle swarm optimization for solving the economic load dispatch problem. All the methods are tested on 3-units and 6-units test system. Simulation results are presented to show the comparative performance of these methods.