Economic Dispatch Problem using Shuffled Frog Leaping Algorithm
I. D. Soubache1, P. Sudhakara Reddy2
1Asst. Prof. I.D.Soubase, Department of Electrical Engineering, PRIST University, Vallam, Thanjavur, Tamil Nadu, India.
2Dr. P. Sudhakara Reddy, Department of Electronics and Communication Engineering, Sri Kalahasteeswara Institute of Technology, Srikalahasti, Chittoor District, Andhra Pradesh, India.
Manuscript received on November 05, 2013. | Revised Manuscript received on November 2013 11, 2013. | Manuscript published on November 15, 2013. | PP: 32-37 | Volume-1 Issue-12, November 2013. | Retrieval Number: L05241111213/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley
© 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: A new evolutionary algorithm known as the shuffled frog leaping algorithm is presented in this paper, to solve the economic dispatch (ED) problem of thermal plants. 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 systems, and is compared with Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) and 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. Considering the quality of the solution obtained, this method seems to be a promising alternative approach for solving the ED problems in practical power system.
Keywords:Shuffled frog leaping algorithm (SFLA), Economic Dispatch (ED), Particle Swarm Optimization (PSO), Genetic Algorithm (GA).