Intelligent Bacterial Foraging Optimization Technique to Economic Load Dispatch Problem
R.Vijay, Department of Electrical & Electronics Engineering, Anna University of Technology, Coimbatore, India.
Manuscript received on April 15, 2012. | Revised Manuscript received on April 20, 2012. | Manuscript published on May 05, 2012. | PP: 55-59 | Volume-2 Issue-2, May 2012 . | Retrieval Number: firstname.lastname@example.org
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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: Bacterial Foraging optimization (BFO) is a swarm intelligence technique used to solve problem in power systems. The algorithm is based on the group foraging behaviour of Escherichia coli (E-Coli) bacteria present in human intestine. This social foraging behaviour of E.coli bacteria has been used to solve optimization problems. In this paper, an overview of the biology of bacterial foraging and the pseudo-code that models this process also explained. This paper presents a novel BFO to solve Economic Load Dispatch (ELD) problems. The results are obtained for a test system with three and thirteen generating units. In this paper the performance of the BFO is compared with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The results clearly show that the proposed method gives better optimal solution as compared to the other methods.
Keywords: Bacteria Foraging Optimization, Escherichia coli Economic load Dispatch, Genetic Algorithm, Particle Swarm Optimization.