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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Vydané v:	Electric power systems research Ročník 213; s. 108731
Hlavní autori:	Honghai, Kuang, Fuqing, Su, Yurui, Chang, Kai, Wang, Zhiyi, He
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2022
Predmet:	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
On-line prístup:	Získať plný text
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