Multi-Objective Reactive Power Optimization Based on Refined Chaos Particle Swarm Optimization Algorithm

In order to reduce the active network loss, increase the power quality and voltage static stability of power system, an index function of multi-objective reactive power optimization is established. Then, an improved adaptive chaotic particle swarm optimization algorithm is proposed to solve the prob...

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Veröffentlicht in:	Applied Mechanics and Materials Jg. 494-495; H. Current Development of Mechanical Engineering and Energy; S. 1857 - 1860
Hauptverfasser:	Ai, Ying, Zhang, Dan Hong, Su, Yi Xin, Peng, Yao, Nie, Hong Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Zurich Trans Tech Publications Ltd 06.02.2014
Schlagworte:	Algorithms Chaos theory Convergence Fitness Multiple objective analysis Optimization Reactive power Swarm intelligence Cube Map Reactive Power Optimization Dynamic Inertia Weight Particle Swarm Optimization Algorithm
ISBN:	3038350036, 9783038350033
ISSN:	1660-9336, 1662-7482, 1662-7482
Online-Zugang:	Volltext
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