Multi-objective Scheduling Optimization of Microgrids with Vehicle-to-Grid (V2G) Participation
Aiming at the relationship between microgrids and electric vehicles, this paper establishes a multi-objective scheduling model for microgrids with the participation of both parties. Firstly, a mathematical model is established for each structure inside the microgrid and the electric vehicle charging and discharging model. Secondly, the system operation cost and electric vehicle cost are taken as the objectives to establish their models. At the same time, the gray wolf algorithm is improved, and the improved algorithm is used to simulate electric vehicles in three modes to verify the model and the rationality of the model.
Authors
- Xinghua Gao (ORCID: https://orcid.org/0000-0002-5244-0986)
- Haolin Li (ORCID: https://orcid.org/0009-0001-3274-1140)
- Dongpeng Li (ORCID: https://orcid.org/0009-0002-3384-2362)
- Z. J. Jiang (ORCID: https://orcid.org/0000-0002-4705-2479)
- Xilong Zhang (ORCID: https://orcid.org/0000-0002-8881-6404)
- P. Ma
Institutions
- Jilin Electric Power Research Institute (China) (CN)
- Changchun University of Technology (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/epee63731.2024.10875120
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00