Multi-stage Pricing Strategy of Charging Station Based on EV Charging Load Forecasting

Xun Li1; Jing Ge1; Mengge Shi2; Peng Huang1; Yujia Guo2; Youwei Jia2

10.1109/ICPSAsia58343.2023.10294884

2023

IEEE/IAS Industrial and Commercial Power System Asia (IEEE I and CPS Asia)

979-8-3503-3935-2

2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

1999-2004

7-9 July 2023

Chongqing, China

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Electric vehicle charging station pricing plays a critical role in guiding user charging behavior. This paper proposes an optimal pricing strategy for charging stations based on load forecasting. Firstly, a method for load forecasting is presented to predict the charging station's future demand. Secondly, a machine learning-based evaluation method is proposed to assess the price sensitivity of electric vehicle charging demand. The proposed two-stage pricing strategy involves setting an invitation price for users based on the price sensitivity of electric vehicle charging demand model in the day-ahead stage and a guiding price for the intra-day stage. In the day-ahead stage, users are invited to charge their vehicles based on the predicted demand, taking into account the price sensitivity of electric vehicle charging demand. In the intra-day stage, the price is adjusted to guide user behavior and avoid charging station deviation costs. Simulation experiments demonstrate that the proposed two-stage pricing strategy effectively guides user charging behavior, reduces charging station deviation costs, and increases charging station revenue. The results show that this strategy is suitable for various load conditions and can be used to achieve optimal pricing under different scenarios.

electric vehicle load forecasting price sensitivity two-stage pricing strategy

其他

英语

EI ; CPCI-S

China Southern Power Grid Industry RD Project[SZKJXM20210138]

Energy & Fuels ; Engineering

Energy & Fuels ; Engineering, Industrial ; Engineering, Electrical & Electronic

WOS:001099056900328

20234815138951

Behavioral research ; Charging (batteries) ; Costs ; Economics ; Electric load forecasting ; Electric power plant loads

Ergonomics and Human Factors Engineering:461.4 ; Secondary Batteries:702.1.2 ; Electric Power Systems:706.1 ; Cost and Value Engineering; Industrial Economics:911 ; Social Sciences:971

IEEE

1.China Southern Power Grid Electric, Vehicle Service Co., Ltd, Shenzhen, China
2.Southern University of Science and Technology, Shenzhen, China

Xun Li,Jing Ge,Mengge Shi,et al. Multi-stage Pricing Strategy of Charging Station Based on EV Charging Load Forecasting[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2023:1999-2004.