A Vehicle-by- Vehicle Charging Scheduling Strategy for Residential Areas Considering Grid-level Valley Filling
In recent years, as the penetration of electric vehicles (EVs) gradually increases, the problem that some residential areas are unable to accept more EVs due to the tight power supply capacity is becoming more and more prominent. The capacity of existing power supply facilities in a neighborhood to accept EV s can be improved by orderly charging control. To provide a feasible orderly charging control method for residential communities facing difficulties in upgrading distribution facilities, this paper proposes a vehicle-by-vehicle charging scheduling strategy, which can adapt to different residential communities with varying power supply capacities by adjusting the valley-filling time periods. For neighborhoods with non-stressed and generally stressed power supply capacity, setting the valley filling sequence to the grid valley and subsequent flat periods enables peak shaving and valley filling at the grid level while the user receives the lowest charging tariff. Example analysis shows that when the user participation degree is 80%, compared with disordered charging, this strategy reduces the average charging prices of users by 0.3627 yuan, and reduces the peak-valley difference of the total load at the grid level by 17.19%. For severely constrained power supply capacity neighborhoods, the time period for valley filling is set to 0-24:00 p.m. Example analyses show that under the current neighborhood conditions, EV acceptance of the number of households can be achieved at 80% user participation and there is room for continued acceptance.
Authors
- Chunlin Guo
- Zhuoer Gao (ORCID: https://orcid.org/0000-0001-6202-5893)
- Shuaishuai Guo
- Zhiqiang Xing (ORCID: https://orcid.org/0000-0002-1595-5032)
Institutions
- North China Electric Power University (CN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/isneet64164.2024.10956046
- Citations
- 1
- Primary Topic
- Transportation and Mobility Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.20