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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Bibliographic Details
Published in:	Energy conversion and management Vol. 52; no. 2; pp. 1175 - 1183
Main Authors:	Lu, Youlin, Zhou, Jianzhong, Qin, Hui, Wang, Ying, Zhang, Yongchuan
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.02.2011 Elsevier
Subjects:	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
Online Access:	Get full text
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