Medium-term multi-stage distributionally robust scheduling of hydro–wind–solar complementary systems in electricity markets considering multiple time-scale uncertainties

•Multi-stage distributionally robust scheduling model for hydro–wind–solar system.•Multiple time-scale uncertainties are considered by ambiguity sets.•Stochastic dual dynamic integer programming is modified to solve the model.•Proposed scheduling model increases profits by 3.04% and lowers trading r...

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Veröffentlicht in:	Applied energy Jg. 347; S. 121371
Hauptverfasser:	Li, Zhuangzhuang, Yang, Ping, Guo, Yi, Lu, Guanpeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2023
Schlagworte:	algorithms case studies China Distributionally robust optimization electricity Electricity market energy Hydro–wind–solar complementary system income market prices markets Medium-term scheduling probability distribution risk rivers standard deviation Stochastic dual dynamic integer programming China Hydro–wind–solar complementary system Stochastic dual dynamic integer programming Medium-term scheduling Electricity market Distributionally robust optimization
ISSN:	0306-2619
Online-Zugang:	Volltext
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