A Mutually Beneficial Operation Framework for Virtual Power Plants and Electric Vehicle Charging Stations

被引:13
|
作者
Wang, Han [1 ,2 ]
Jia, Youwei [1 ,2 ]
Shi, Mengge [1 ,2 ]
Lai, Chun Sing [3 ]
Li, Kang [4 ]
机构
[1] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
[2] Southern Univ Sci & Technol, Univ Key Lab Adv Wireless Commun Guangdong Prov, Shenzhen 518055, Peoples R China
[3] Brunel Univ London, Brunel Interdisciplinary Power Syst Res Ctr, Dept Elect & Elect Engn, London UB8 3PH, England
[4] Univ Leeds, Sch Elect & Elect Engn, Leeds LS2 9JT, England
基金
中国国家自然科学基金;
关键词
Virtual power plant; charging stations; incentives; multi-stakeholder; tau-value estimation; OPTIMIZATION MODEL; COORDINATION; MANAGEMENT; ALGORITHM; STRATEGY; SYSTEMS;
D O I
10.1109/TSG.2023.3273856
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Virtual power plants (VPPs) and electric vehicle (EV) charging stations (CSs) have been attracting much attention in recent years. However, existing research rarely concerns the cooperation between VPPs and CSs that are managed by different stakeholders. To facilitate the cooperation between VPPs and CSs, this work proposes a cooperative operation framework for a multi-stakeholder VPP-CSs system. In the proposed cooperative framework, day-ahead offering and real-time balancing models are developed to maximize the total benefit of the VPP-CSs system. To support a more flexible operation of the VPP-CSs system with EV energy flexibility, an EV user incentive program is proposed for acquiring EV battery access rights. The conflicting interests of different stakeholders are addressed by a tau -value cost allocation method. To alleviate the computational burden in calculating the tau -values, a maximum right cost estimation approach is proposed. Case studies confirm that the proposed methods can provide superior performance by increasing 4.6% of VPP profit, increasing 20.7% of CS profit, reducing 16.3% of EV user charging fees, and achieving 99.2% of tau -value estimation accuracy.
引用
收藏
页码:4634 / 4648
页数:15
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