Framework for the Participation of EV Aggregators in the Electricity Market

被引:0
|
作者
Bessa, R. J. [1 ]
Matos, M. A. [1 ]
Soares, F. J. [1 ]
机构
[1] INESC TEC, Ctr Power & Energy Syst, Oporto, Portugal
关键词
Electric vehicles; electricity market; optimization; balancing reserve; forecasting; smart grid; DIVIDED OPTIMIZATION; VEHICLES; RESERVE; MODELS;
D O I
暂无
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
The Electric Vehicle (EV) is one source of flexibility to the electric power system. When aggregated by a market agent, it can offer its flexibility in the balancing reserve market. In order to meet this goal, a framework of optimization and forecasting algorithms must designed to cover the different time horizons of the decision process. This paper describes a full framework for EV aggregators participating in different electricity market sessions. This framework is illustrated for the balancing reserve market and the impact of forecasts of different quality for the balancing reserve direction is evaluated. The test case consists in synthetic time series generated from real data for 3000 EV participating in the Iberian electricity market.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Framework Design of Load Aggregators Participating in Electricity Market
    Tang, Qingfeng
    Wu, Xu
    Dong, Shaoqiao
    Ma, Rui
    [J]. 2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2018, : 593 - 598
  • [2] A DSO Framework for Comprehensive Market Participation of DER Aggregators
    Mousavi, Mohammad
    Wu, Meng
    [J]. 2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
  • [3] A Stochastic Bi-Level Scheduling Approach for the Participation of EV Aggregators in Competitive Electricity Markets
    Rashidizadeh-Kermani, Homa
    Vahedipour-Dahraie, Mostafa
    Najafi, Hamid Reza
    Anvari-Moghaddam, Amjad
    Guerrero, Josep M.
    [J]. APPLIED SCIENCES-BASEL, 2017, 7 (10):
  • [4] A DSO Framework for Market Participation of DER Aggregators in Unbalanced Distribution Networks
    Mousavi, Mohammad
    Wu, Meng
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2022, 37 (03) : 2247 - 2258
  • [5] Optimized Operation Framework of Distributed Thermal Storage Aggregators in the Electricity Spot Market
    Wang, Haixin
    Cai, Xiangyu
    Yang, Zihao
    Li, Gen
    Zhou, Yue
    Yang, Junyou
    Chen, Zhe
    Hu, Shiyan
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 20 (02) : 2272 - 2283
  • [6] A Distributed EV Charging Framework Considering Aggregators Collaboration
    Afshar, Shahab
    Disfani, Vahid
    [J]. 2021 IEEE MADRID POWERTECH, 2021,
  • [7] A multi-scale optimization framework for electricity market participation
    Dowling, Alexander W.
    Kumar, Ranjeet
    Zavala, Victor M.
    [J]. APPLIED ENERGY, 2017, 190 : 147 - 164
  • [8] A distributed framework for optimal operation of EV aggregators problem
    Najafi, Arsalan
    Jasinski, Michal
    Kasmaei, Mahdi Pourakbari
    Lehtonen, Matti
    Leonowicz, Zbigniew
    [J]. 2021 21ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2021 5TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE), 2021,
  • [9] Financial Viability of the Aggregators Participation in the Regulation Reserve Market
    Santos, Sergio F.
    Gough, Matthew
    Ferreira, Jose P. D.
    Javadi, Mohammad S.
    Osorio, Gerardo J.
    Vafamand, Navid
    Arefi, Mohammad M.
    Catalao, Joao P. S.
    [J]. 2021 21ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2021 5TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE), 2021,
  • [10] Electricity Market Mechanisms for Aggregators and Current State Analysis in Turkey
    Tor, Osman Bulent
    Oguz, Huseyin
    Kisakurek, Sabri Murat
    Kursuncu, Elif Naz
    Koksal, Ali Osman
    [J]. SOSYOEKONOMI, 2021, 29 (49) : 307 - 322