Title: Economic emission dispatch of thermal generating units using genetic algorithm technique

Authors: H. Vennila; B.G. Malini; V. Evangelin Jeba; T. Ruban Deva Prakash

Addresses: Department of Electrical and Electronics Engineering, Noorul Islam Centre for Higher Education, Kumarakoil, 629180, India. ' Department of Electrical and Electronics Engineering, Noorul Islam College of Engineering, Kumarakoil, 629180, India. ' Department of Electrical and Electronics Engineering, Noorul Islam College of Engineering, Kumarakoil, 629180, India. ' Department of Electronics and Communication Engineering, Noorul Islam University, Kumarakoil, 629180, India

Abstract: Well-established conventional algorithms are available for solving the economic emission dispatch (EED) problem. But the recent trend is to use the tools such as genetic algorithms (GAs) evolutionary programming technique, etc., because of some of their superior qualities. In this paper, GA technique has been applied for solving EED problem. This GA technique represents a class of general purpose stochastic search techniques which simulate natural inheritance by genetics illustrated by considering a five-bus system.

Keywords: optimum power flow; OPF; economic emission dispatch; EED; load flow problem; LFP; genetic algorithms; GAs; thermal generating units.

DOI: 10.1504/IJENM.2011.043797

International Journal of Enterprise Network Management, 2011 Vol.4 No.4, pp.344 - 353

Published online: 22 Oct 2014 *

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