Unified Particle Swarm Optimization to Solving Economic Dispatch
I.D.Soubache1, P. Ajay-D-Vimal Raj2
1I.D. Soubase, Assistant Professor, Department of Electrical Engineering, PRIST University, Vallam, Thanjavur (Tamil Nadu), India.
2Dr. P.Ajay-D-Vimal Raj, Department of Electrical Engineering, Pondicherry Engineering College, Pondicherry University, (Pondicherry), India.
Manuscript received on 12 March 2013 | Revised Manuscript received on 21 March 2013 | Manuscript Published on 30 March 2013 | PP: 280-284 | Volume-2 Issue-4, March 2013 | Retrieval Number: D0585032413/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper proposes the solution for economic dispatch (ED) problem of thermal plants using unified particle swarm optimization (UPSO) method. The proposed optimization technique can take care of economic dispatch problems involving constraints such as transmission losses, power balance and generation capacity. The feasibility of the proposed method is demonstrated for three units and six units system, and is compared with Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) methods in terms of the solution quality and computation efficiency. Compared with the other existing techniques, the proposed algorithm has been found to perform better in a number of cases. The experimental results show that the proposed UPSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.
Keywords: Unified Particle Swarm Optimization (UPSO), Economic Dispatch (ED), Particle Swarm Optimization (PSO), Genetic Algorithm (GA).
Scope of the Article: Discrete Optimization