Multi-stage distributionally robust optimization for hybrid energy storage in regional integrated energy system considering robustness and nonanticipativity

Hybrid energy storage system (HESS) has advantages in coping with the uncertainty of renewable energy and improving the stability of regional integrated energy systems (RIES). Few of the current HESS uncertainty scheduling methods consider both robustness and nonanticipativity, which may result in s...

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Vydáno v:	Energy (Oxford) Ročník 277; s. 127729
Hlavní autoři:	Han, Fengwu, Zeng, Jianfeng, Lin, Junjie, Gao, Chong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.08.2023
Témata:	algorithms carbon energy Hybrid energy storage system (HESS) hydrogen income markets Multi-stage distributionally robust optimization (MSDRO) natural gas Nonanticipativity Regional integrated energy system (RIES) renewable energy sources Stochastic dual dynamic integer programming (SDDiP) uncertainty Multi-stage distributionally robust optimization (MSDRO) Hybrid energy storage system (HESS) Stochastic dual dynamic integer programming (SDDiP) Regional integrated energy system (RIES) Nonanticipativity
ISSN:	0360-5442
On-line přístup:	Získat plný text
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