Solution of Economic Dispatch Problem using Differential Evolution Algorithm
C. Kumar1, T. Alwarsamy2
1C. Kumar, Department Electrical Engineering, SKP Engineering College, Anna University of Technology, Chennai, Tamilnadu, India.
2Dr. T. Alwarsamy, DOTE, Chennai, Tamilnadu, India.
Manuscript received on December 05, 2011. | Revised Manuscript received on December 18, 2011. | Manuscript published on January 05, 2012. | PP: 236-241 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0307111611/2012©BEIESP
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© The Authors. Published By: 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: Economic Dispatch is the process of allocating the required load demand between the available generation units such that the cost of operation is minimized. There have been many algorithms proposed for economic dispatch out of which a Differential Evolution (DE) is discussed in this paper. The Differential Evolution (DE) is a population-based, stochastic function optimizer using vector differences for perturbing the population. The DE is used to solve the Economic Dispatch problem (ED) with transmission loss by satisfying the linear equality and inequality constraints. The proposed method is compared with Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Simulated Annealing (SA).
Keywords: Differential Evolution, Economic Dispatch, Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing.