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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Vydáno v:	Water (Basel) Ročník 17; číslo 14; s. 2127
Hlavní autoři:	Xie, Mengfei, Liu, Bin, Peng, Ying, Wu, Dianning, Qian, Ruifeng, Yang, Fan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 17.07.2025
Témata:	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
On-line přístup:	Získat plný text
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