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Combined Economic Emission Dispatch using Evolutionary Programming Technique

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Evolutionary Computation for Optimization Techniques
© 2010 by IJCA Journal
Number 2 - Article 4
Year of Publication: 2010
Authors:
K. Senthil M.E.
10.5120/1539-142

Senthil K M.E.. Combined Economic Emission Dispatch using Evolutionary Programming Technique. IJCA Special Issue on Evolutionary Computation (2):62–66, 2010. Full text available. BibTeX

@article{key:article,
	author = {K. Senthil M.E.},
	title = {Combined Economic Emission Dispatch using Evolutionary Programming Technique},
	journal = {IJCA Special Issue on Evolutionary Computation},
	year = {2010},
	number = {2},
	pages = {62--66},
	note = {Full text available}
}

Abstract

In recent years increasing of thermal power plants air pollution and concentration of carbon dioxide emission leads to the global warming. This paper solves the economic dispatch problem includes the dispatch of systems to the minimize carbon dioxide emissions, as well as to achieve the minimum fuel cost. This paper proposed a lambda based approach for solving the Combined Economic and Emission Dispatch (CEED) problem using Evolutionary programming (EP) method considering the power limits. The CEED is to minimize both the operating fuel cost and emission level simultaneously while satisfying the load demand and operational constraints. The sample test system of three and six generator system solves the CEED problem for various load demands. The numerical results have shown the performance and applicability of the proposed method.

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