| Issue |
E3S Web Conf.
Volume 466, 2023
2023 8th International Conference on Advances in Energy and Environment Research & Clean Energy and Energy Storage Technology Forum (ICAEER & CEEST 2023)
|
|
|---|---|---|
| Article Number | 02011 | |
| Number of page(s) | 8 | |
| Section | Green Energy Technology and Low Carbon Energy Saving Strategy | |
| DOI | https://doi.org/10.1051/e3sconf/202346602011 | |
| Published online | 15 December 2023 | |
Optimization of Orderly Charging/Discharging Strategy for Electric Vehicles Considering Incremental Cost of V2G
1 Xi'an Jiaotong University, School of Electrical Engineering, Xi'an, Shaanxi, China
2 Central Southern China Electric Power Design Institute, Wuhan, Hubei, China
* Corresponding author: 2204224988@stu.xjtu.edu.cn
The integration of electric vehicles (EV) into demand-side response holds significant potential, which not only helps to reduce the operational expense of EVs, but also presents a viable strategy for the grid peak regulation. In this paper, the load simulation model of EVs is proposed based on the probability distribution of charging/discharging behaviours of different types of EV users from statistical data. On this basis, considering the incentive effect of hourly electricity price, an orderly charging/discharging optimization model is proposed to consider EV charging cost, discharge income and incremental battery loss cost caused by EV participating in the vehicle-to-grid (V2G) mode. This model provides a more accurate estimation on the incremental costs and market arbitrage benefits of EVs in V2G mode on the basis of conventional transportation utilization, so as to better optimize the operation strategy of the EVs for demand response. Numerical results show that in the context of tariff of usage (TOU), the orderly charge and discharge model reduces the operating cost of EV users, and can better exploit the potential of EV energy storage batteries in power grid peak regulation.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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