Multi-objective planning-operation co-optimization of renewable energy system with hybrid energy storages

In order to alleviate the resource depletion as well as achieve decarbonization, developing renewable energy system is a feasible solution. This paper establishes a wind-photovoltaic-battery-thermal energy storage hybrid power system, and investigates its multi-objective planning-operation co-optimi...

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Veröffentlicht in:	Renewable energy Jg. 184; S. 776 - 790
Hauptverfasser:	He, Yi, Guo, Su, Zhou, Jianxu, Ye, Jilei, Huang, Jing, Zheng, Kun, Du, Xinru
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2022
Schlagworte:	algorithms batteries case studies cost effectiveness Data-driven model decision making evolution Hybrid energy storage Multi-objective evolutionary algorithm Operation threshold optimization Planning-operation co-optimization Renewable energy thermal energy wind power Hybrid energy storage Data-driven model Renewable energy Planning-operation co-optimization Operation threshold optimization Multi-objective evolutionary algorithm
ISSN:	0960-1481, 1879-0682
Online-Zugang:	Volltext
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