Solving the economic dispatch problem with a modified quantum-behaved particle swarm optimization method

In this paper, a modified quantum-behaved particle swarm optimization (QPSO) method is proposed to solve the economic dispatch (ED) problem in power systems, whose objective is to simultaneously minimize the generation cost rate while satisfying various equality and inequality constraints. The propo...

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Bibliographic Details
Published in:	Energy conversion and management Vol. 50; no. 12; pp. 2967 - 2975
Main Authors:	Sun, Jun, Fang, Wei, Wang, Daojun, Xu, Wenbo
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.12.2009 Elsevier
Subjects:	Applied sciences Constrained optimization Differential mutation operation Economic data Economic dispatch Electric energy Energy Energy economics Exact sciences and technology General, economic and professional studies Heuristics Methodology. Modelling Particle swarm optimization Power generation Economic dispatch Differential mutation operation Particle swarm optimization Heuristics Power generation Constrained optimization Performance evaluation Cost minimization Case study Optimal strategy Production cost Mutation Electric power production Differential method
ISSN:	0196-8904, 1879-2227
Online Access:	Get full text
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