Yaowang Li, Shixu Zhang, Yuliang Liu, 等. Economic Analysis of Sharing Second-life Battery for Multiple Wind Farms Using Cloud Energy Storage Model[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(3):1374-1385.
Yaowang Li, Shixu Zhang, Yuliang Liu, et al. Economic Analysis of Sharing Second-life Battery for Multiple Wind Farms Using Cloud Energy Storage Model[J]. CSEE Journal of Power and Energy Systems, 2026, 12(3): 1374-1385.
Yaowang Li, Shixu Zhang, Yuliang Liu, 等. Economic Analysis of Sharing Second-life Battery for Multiple Wind Farms Using Cloud Energy Storage Model[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(3):1374-1385. DOI: 10.17775/CSEEJPES.2022.01540.
Yaowang Li, Shixu Zhang, Yuliang Liu, et al. Economic Analysis of Sharing Second-life Battery for Multiple Wind Farms Using Cloud Energy Storage Model[J]. CSEE Journal of Power and Energy Systems, 2026, 12(3): 1374-1385. DOI: 10.17775/CSEEJPES.2022.01540.
Economic Analysis of Sharing Second-life Battery for Multiple Wind Farms Using Cloud Energy Storage Model
摘要
Abstract
With the prevalence of Electric Vehicles (EVs)
a large number of on-board lithium batteries will be retired from EVs in the future. These Second-life Battery (SLBs) usually still preserve 70%–80% of their original capacities and have potential to be reutilized in the power system. However
at present
users in power systems such as renewable energy producers have little enthusiasm on SLBs
as the lifetime of SLB is usually shorter than a fresh battery and consistency of the SLBs' performance is not as good as the fresh battery. To address above issues
this paper proposes a SLB utilization model based on the concept of Cloud Energy Storage (CES)
namely SLB-based CES. In the SLB-based CES
the SLB is shared by multiple renewable energy producers. In order to comprehensively analyze the profit and investment risk of each participant in the CES system
the optimal scheduling model of the CES system is proposed. Multiple business models for the SLB supplier are designed. Economic analysis is carried out based on actual power system profiles from Western Inner Mongolia
China. Simulation results verify that the proposed SLB-based CES model can reduce energy storage utilization cost and mitigate the investment risk which is originally undertaken by energy storage users.
关键词
Keywords
references
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相关作者
Jia Liu
Biao Jiang
Zao Tang
Pingliang Zeng
Tong Su
Yalou Li
Qiuwei Wu
Weijie Dong
相关机构
Department of Automation, Hangzhou Dianzi University
Department of Electrical Engineering, Southeast University
University of Connecticut, Storrs
China Electric Power Research Institute
Department of Electrical Engineering, Technical University of Denmark, Kongens Lyngby