A low-carbon optimization method for electric vehicle charging load under a road-electric coupling network considering carbon emission reduction
In recent years, the large-scale penetration of electric vehicles (EVs) has brought opportunities for the low-carbon development of the transportation industry It makes the interaction between road network and power grid tend to be closer, and a road-electricity coupling network is formed. Therefore, it is urgent to study how fully utilize the clean and low-carbon characteristics of electric vehicles and reasonably regulate the charging behavior of electric vehicles. Therefore, a low-carbon optimization method for electric vehicle charging load under the road-electric coupling network considering carbon emission reduction is proposed. Firstly, the low-carbon optimization model of electric vehicle charging load in the grid-road network coupling network is analyzed and constructed. Then, the electricity-carbon co-valence is used to guide the EV charging behavior and carry out double-layer optimization. Finally, based on the improved global optimization algorithm for simulated annealing, the convergence speed is faster and the solution is more efficient under the premise of avoiding local optimality and ensuring the accuracy of the solution results.
Authors
- Ning Dong (ORCID: https://orcid.org/0000-0003-0793-8854)
- Lin Sun (ORCID: https://orcid.org/0000-0002-8781-2057)
- Long Li (ORCID: https://orcid.org/0000-0003-4023-9238)
- Binrong Zhang
- Jie Xiao (ORCID: https://orcid.org/0000-0002-8964-6347)
Institutions
- Shanghai Electric (China) (CN)
Publication Details
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1109/net-lc65482.2025.11071246
- Citations
- 3
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 2.19
Funders
- State Grid Shandong Electric Power Company