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
相关论文
共 50 条
  • [31] ANALYSIS OF DISTRIBUTION OF ELECTRIC VEHICLE CHARGING STATIONS IN THE BALTIC
    Berjoza, Dainis
    Jurgena, Inara
    [J]. 14TH INTERNATIONAL SCIENTIFIC CONFERENCE: ENGINEERING FOR RURAL DEVELOPMENT, 2015, : 258 - 264
  • [32] A Tale of Two Entities: Contextualizing the Security of Electric Vehicle Charging Stations on the Power Grid
    ElHussini, Hossam
    Assi, Chadi
    Moussa, Bassam
    Atallah, Ribal
    Ghrayeb, Ali
    [J]. ACM TRANSACTIONS ON INTERNET OF THINGS, 2021, 2 (02):
  • [33] Technoeconomic Performance Analysis of Solar Tracking Methods for Roof-Type Solar Power Plants and Electric Vehicle Charging Stations
    Boyekin, Tahsin
    Kiyak, Ismail
    [J]. INTERNATIONAL JOURNAL OF PHOTOENERGY, 2021, 2021
  • [34] A unified configurational optimization framework for battery swapping and charging stations considering electric vehicle uncertainty
    Zhang, Mingze
    Li, Weidong
    Yu, Samson Shenglong
    Wen, Kerui
    Zhou, Chen
    Shi, Peng
    [J]. ENERGY, 2021, 218
  • [35] Anomaly detection with grid sentinel framework for electric vehicle charging stations in a smart grid environment
    V. Thiruppathy Kesavan
    Md. Jakir Hossen
    R. Gopi
    Emerson Raja Joseph
    [J]. Scientific Reports, 15 (1)
  • [36] System Planning of Grid-Connected Electric Vehicle Charging Stations and Key Technologies: A Review
    Ma, Chao-Tsung
    [J]. ENERGIES, 2019, 12 (21)
  • [37] Coordinated operation of electric vehicle charging and wind power generation as a virtual power plant: A multi-stage risk constrained approach
    Abbasi, Mohammad Hossein
    Taki, Mehrdad
    Rajabi, Amin
    Li, Li
    Zhang, Jiangfeng
    [J]. APPLIED ENERGY, 2019, 239 : 1294 - 1307
  • [38] Techno-economic appraisal of electric vehicle charging stations integrated with on-grid photovoltaics on existing fuel stations: A multicity study framework
    Shah, Talha Hussain
    Shabbir, Altamash
    Waqas, Adeel
    Janjua, Abdul Kashif
    Shahzad, Nadia
    Pervaiz, Hina
    Shakir, Sehar
    [J]. RENEWABLE ENERGY, 2023, 209 : 133 - 144
  • [39] Placement of electric vehicle fast charging stations in distribution network considering power loss, land cost, and electric vehicle population
    Ahmad, Fareed
    Iqbal, Atif
    Ashraf, Imtiaz
    Marzband, Mousa
    Khan, Irfan
    [J]. ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2022, 44 (01) : 1693 - 1709
  • [40] Assessing Electric Vehicle Charging Patterns: A Comprehensive Analysis of Charging Stations Usage
    Saldarini, Alessandro
    Martini, Daniele
    Longo, Michela
    Foiadelli, Federica
    Yaici, Wahiba
    [J]. 2023 12TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS, ICRERA, 2023, : 128 - 133