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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Bibliographic Details

Published in:	Electric power systems research Vol. 213; p. 108731
Main Authors:	Honghai, Kuang, Fuqing, Su, Yurui, Chang, Kai, Wang, Zhiyi, He
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2022
Subjects:	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 Access:	Get full text
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