Two-stage coevolutionary constrained multi-objective optimization algorithm for solving optimal power flow problems with wind power and FACTS devices

As a large amount of wind energy is integrated into the grid, the randomness it brings poses a challenge to modern power systems. The application of Flexible AC Transmission Systems (FACTS) in the grid is becoming more and more common, and it is necessary to consider how to choose suitable equipment...

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Veröffentlicht in:	Renewable energy Jg. 232; S. 121087
Hauptverfasser:	Zhu, Jun-Hua, Wang, Jie-Sheng, Zheng, Yue, Zhang, Xing-Yue, Liu, Xun, Wang, Xiao-Tian, Zhang, Song-Bo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2024
Schlagworte:	Coevolution FACTS Multi-objective constrained optimization Optimal power flow Wind energy Multi-objective constrained optimization Wind energy Optimal power flow Coevolution FACTS
ISSN:	0960-1481
Online-Zugang:	Volltext
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