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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Vydáno v:	Energy conversion and management Ročník 50; číslo 12; s. 2967 - 2975
Hlavní autoři:	Sun, Jun, Fang, Wei, Wang, Daojun, Xu, Wenbo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Kidlington Elsevier Ltd 01.12.2009 Elsevier
Témata:	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
On-line přístup:	Získat plný text
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