A Multi-Objective Optimization Strategy for V2G-Based Scaled Electric Vehicles in Distribution System with Various PV Penetration
V2G (Vehicle to Grid) technology is receiving widespread attention because through V2G, the problem of renewable energy fluctuations can not only be greatly alleviated but also generate benefits for electric vehicle (EV) users. However, in the distributed system, V2G technology is difficult to simultaneously suppress load fluctuations and reduce the operating costs of EVs. To solve the above problem, this paper establishes a multi-objective optimization model with V2G in the distributed system. After optimization, the multi-objective optimal operation strategy considering the V2G model proposed in this paper can balance the load variance and EV operation cost in the distributed system.
Authors
- Wenqian Yin (ORCID: https://orcid.org/0000-0001-8158-499X)
- Jilei Ye (ORCID: https://orcid.org/0009-0003-9066-2445)
- Shiye Yan
- Bin Li (ORCID: https://orcid.org/0000-0002-7088-8274)
- Yifan Zhang (ORCID: https://orcid.org/0000-0002-5331-1908)
Institutions
- Nanjing Tech University (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/appeec61255.2024.10922597
- Citations
- 1
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.21