Multi-objective quantum-behaved particle swarm optimization for economic environmental hydrothermal energy system scheduling

With increasing attention paid to energy and environment in recent years, the hydrothermal scheduling considering economic and environmental objectives is becoming one of the most important optimization problems in power system. With two competing objectives and a set of operation constraints, the e...

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Veröffentlicht in:	Energy (Oxford) Jg. 131; S. 165 - 178
Hauptverfasser:	Feng, Zhong-kai, Niu, Wen-jing, Cheng, Chun-tian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 15.07.2017 Elsevier BV
Schlagworte:	algorithms Chaotic mutation Constraint handling method Economics Energy Environmental objective Hydroelectric plants Hydroelectric power Hydrothermal scheduling Multi-objective optimization Multiple objective analysis Mutation Optimization Particle swarm optimization Quantum physics Quantum-behaved particle swarm optimization Scheduling system optimization water power Constraint handling method Multi-objective optimization Hydrothermal scheduling Chaotic mutation Quantum-behaved particle swarm optimization
ISSN:	0360-5442, 1873-6785
Online-Zugang:	Volltext
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