Multi-Objective Optimal Dispatch of Hydro-Wind-Solar Systems Using Hyper-Dominance Evolutionary Algorithm

In response to the challenge of multi-objective optimal scheduling and efficient solution of hydropower stations under large-scale renewable energy integration, this study develops a multi-objective optimization model with the dual goals of maximizing total power generation and minimizing the varian...

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Veröffentlicht in:	Water (Basel) Jg. 17; H. 14; S. 2127
Hauptverfasser:	Xie, Mengfei, Liu, Bin, Peng, Ying, Wu, Dianning, Qian, Ruifeng, Yang, Fan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 17.07.2025
Schlagworte:	Alternative energy sources Buildings and facilities Carbon Clean technology Climate change Comparative analysis Decision making Dry season Electricity distribution Energy consumption Energy resources Energy transition Evolutionary algorithms Genetic algorithms Hydroelectric power Hydroelectric power plants Management Mathematical optimization Optimization algorithms Renewable resources Scheduling Solar energy Solar power plants Technology application Trends Wind power China Yunnan China
ISSN:	2073-4441, 2073-4441
Online-Zugang:	Volltext
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