Reactive power optimization for distribution network system with wind power based on improved multi-objective particle swarm optimization algorithm

•In the multi-objective particle swarm optimization algorithm, the adaptive mesh is introduced to reflect the density of particles, and according to the density information, the global optimal particles are selected by roulette mechanism and the scale of external repository is maintained, which effe...

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Veröffentlicht in:	Electric power systems research Jg. 213; S. 108731
Hauptverfasser:	Honghai, Kuang, Fuqing, Su, Yurui, Chang, Kai, Wang, Zhiyi, He
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2022
Schlagworte:	Distribution network system Improved multi-objective particle swarm optimization algorithm (IMOPSOA) Reactive power optimization Wind power Reactive power optimization Wind power Improved multi-objective particle swarm optimization algorithm (IMOPSOA) Distribution network system
ISSN:	0378-7796, 1873-2046
Online-Zugang:	Volltext
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