Published November 4, 2022 | Version v1
Journal article Open

Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach

  • 1. GECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Polytechnic of Porto, Porto, Portugal
  • 2. Department of Electrical Engineering, Chalmers University of Technology, Göteborg, Sweden
  • 3. Departamento de Engenharia Elétrica, Faculdade de Engenharia de Ilha Solteira, UNESP–Universidade Estadual Paulista, Ilha Solteira, Brazil
  • 4. School of Engineering (ISEP), Polytechnic of Porto, Porto, Portugal

Description

Local electricity markets are emerging solutions to enable local energy trade for the end users and provide grid support services when required. Various models of local electricity markets (LEMs) have been proposed in the literature. The peer-to-peer market model appears as a promising structure among the proposed models. The peer-to-peer market structure enables electricity transactions between the players in a local energy system at a lower cost. It promotes the production from the small low–carbon generation technologies. Energy communities can be the ideal place to implement local electricity markets as they are designed to allow for larger growth of renewable energy and electric vehicles, while benefiting from local transactions. In this context, a LEM model is proposed considering an energy community with high penetration of electric vehicles in which prosumer-to-vehicle (P2V) transactions are possible. Each member of the energy community can buy electricity from the retailer or other members and sell electricity. The problem is modeled as a mixed-integer linear programing (MILP) formulation and solved within a decentralized and iterative process. The decentralized implementation provides acceptable solutions with a reasonable execution time, while the centralized implementation usually gives an optimal solution at the expense of reduced scalability. Preliminary results indicate that there are advantages for EVs as participants of the LEM, and the proposed implementation ensures an optimal solution in an acceptable execution time. Moreover, P2V transactions benefit the local distribution grid and the energy community.

Notes

This work has received funding from FEDER Funds through COMPETE program and from National Funds through (FCT) under the projects CENERGETIC (PTDC/EEI-EEE/28983/2017), CEECIND/02814/2017 (JS grant), SFRH/BD/133086/2017 (RF PhD grant). We also acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020) to the project team. Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), in the scope of the Program CAPES-PrInt, process number 88887.310463/2018-00, International Cooperation Project number 5-P2-1479.

Files

fenrg-09-705066 (1).pdf

Files (1.9 MB)

Name Size Download all
md5:8523df721e5edfe08cab6a7433d35568
1.9 MB Preview Download

Additional details

Funding

PTDC/EEI-EEE/28983/2017 – Coordinated energy resource management under uncertainty considering electric vehicles and demand flexibility in distribution networks PTDC/EEI-EEE/28983/2017
Fundação para a Ciência e Tecnologia
CEECIND/02814/2017/CP1417/CT0002 – Not available CEECIND/02814/2017/CP1417/CT0002
Fundação para a Ciência e Tecnologia
SFRH/BD/133086/2017 – Apoio à decisão para participação em mercados de energia elétrica SFRH/BD/133086/2017
Fundação para a Ciência e Tecnologia