JOURNAL ARTICLE

Combined Economic Emission Dispatch using Evolutionary Programming Technique

K. Senthil

Year: 2010 Journal:   International Journal of Computer Applications Vol: ecot (2)Pages: 62-66

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.

Keywords:
Economic dispatch Computer science Mathematical optimization Genetic algorithm Generator (circuit theory) Electric power system Evolutionary algorithm Power (physics) Mathematics

Metrics

17
Cited By
3.08
FWCI (Field Weighted Citation Impact)
14
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Environmental Impact and Sustainability
Physical Sciences →  Environmental Science →  Environmental Engineering
Water-Energy-Food Nexus Studies
Physical Sciences →  Environmental Science →  Water Science and Technology

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