Environmental/economic dispatch problem of power system by using an enhanced multi-objective differential evolution algorithm

An enhanced multi-objective differential evolution algorithm (EMODE) is proposed in this paper to solve environmental/economic dispatch (EED) problem by considering the minimal of fuel cost and emission effects synthetically. In the proposed algorithm, an elitist archive technique is adopted to reta...

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Vydáno v:Energy conversion and management Ročník 52; číslo 2; s. 1175 - 1183
Hlavní autoři: Lu, Youlin, Zhou, Jianzhong, Qin, Hui, Wang, Ying, Zhang, Yongchuan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.02.2011
Elsevier
Témata:
Algorithms
Applied sciences
Constraint handle
Convergence
Cost engineering
Differential evolution algorithm
Economic data
economic feasibility
Economics
Electric energy
emissions factor
Energy
energy costs
Energy economics
Environment/economic dispatch
environmental impact
Evolution
Exact sciences and technology
Fuels
General, economic and professional studies
Handling
Local random search
Materials handling
Methodology. Modelling
Multi-objective optimization
Operators
Local random search
Constraint handle
Multi-objective optimization
Differential evolution algorithm
Environment/economic dispatch
ISSN:0196-8904, 1879-2227
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Popis
Shrnutí:An enhanced multi-objective differential evolution algorithm (EMODE) is proposed in this paper to solve environmental/economic dispatch (EED) problem by considering the minimal of fuel cost and emission effects synthetically. In the proposed algorithm, an elitist archive technique is adopted to retain the non-dominated solutions obtained during the evolutionary process, and the operators of DE are modified according to the characteristics of multi-objective optimization problems. Moreover, in order to avoid premature convergence, a local random search (LRS) operator is integrated with the proposed method to improve the convergence performance. In view of the difficulties of handling the complicated constraints of EED problem, a new heuristic constraints handling method without any penalty factor settings is presented. The feasibility and effectiveness of the proposed EMODE method is demonstrated for a test power system. Compared with other methods, EMODE can get higher quality solutions by reducing the fuel cost and the emission effects synthetically.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2010.09.012