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Application of Genetic Algorithm for Solving Optimum Power Flow Problems
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Author(s): H. Vennila (Department of Electrical and Electronics Engineering, Noorul Islam University, Kumarakoil, India), T. Ruban Deva Prakash (Department of Electrical and Electronics Engineering, Noorul Islam University, Kumarakoil, India), B.G. Malini (Department of Electrical and Electronics Engineering, Noorul Islam University, Kumarakoil, India), M.S. Birundha (Department of Electrical and Electronics Engineering, Noorul Islam University, Kumarakoil, India), V. Evangelin Jeba (Department of Electrical and Electronics Engineering, Noorul Islam University, Kumarakoil, India)and L. Sumi (Department of Electrical and Electronics Engineering, Noorul Islam University, Kumarakoil, India)
Copyright: 2013
Volume: 6
Issue: 2
Pages: 10
Source title:
International Journal of Information Systems and Supply Chain Management (IJISSCM)
Editor(s)-in-Chief: John Wang (Montclair State University, USA)
DOI: 10.4018/jisscm.2013040105
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Abstract
An efficient and optimum economic operation and planning of electric power generation systems is very important. The basic requirement of power economic dispatch (ED) is to generate adequate electricity to meet load demand at the lowest possible cost under a number of constrains. Genetic Algorithms (GA) represents a class of general purpose stochastic search techniques which simulate natural inheritance by genetics. In this paper, the principles of genetics involving natural selection and evolutionary computing applied for producing an economic dispatch. By simulating “Survival of the fittest” among chromosomes, the optimal chromosome is searched by randomized information exchange. In every generation a new set of artificial chromosomes is created using bits and pieces of the fittest of old ones while randomized.
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