Pricing Optimization for Public EV Charging Stations Considering User Behavior

Pricing strategy plays a crucial role in public charging stations' operation. A good pricing strategy can not only improve the revenue of public charging stations but also guide the charging behavior of electric vehicle (EV) users. This paper proposes an hourly time-of-use pricing strategy for public charging stations considering user charging behavior to maximize the profit of public charging stations. We first propose a fitting optimization model to characterize the response function between charging demand and charging price, and then develop a pricing optimization model on this basis. Based on the real data from a large public charging station in Shanghai, we perform numerical experiments to demonstrate the effectiveness of the proposed method.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icpre62586.2024.10768617
Citations
2
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.42

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article

Pricing Optimization for Public EV Charging Stations Considering User Behavior

Liping Zhou, Siyuan Chen, Na Geng, Y M Wang et al.
2 citations
Electric Vehicles and Infrastructure
0.42
article

Pricing Optimization for Public EV Charging Stations Considering User Behavior

Liping Zhou, Siyuan Chen, Na Geng, Y M Wang, Shirui Zeng
article en
2 citations

Abstract

Pricing strategy plays a crucial role in public charging stations' operation. A good pricing strategy can not only improve the revenue of public charging stations but also guide the charging behavior of electric vehicle (EV) users. This paper proposes an hourly time-of-use pricing strategy for public charging stations considering user charging behavior to maximize the profit of public charging stations. We first propose a fitting optimization model to characterize the response function between charging demand and charging price, and then develop a pricing optimization model on this basis. Based on the real data from a large public charging station in Shanghai, we perform numerical experiments to demonstrate the effectiveness of the proposed method.

Shanghai Jiao Tong University (CN), Shanghai Electric (China) (CN)
State Grid Shanghai Municipal Electric Power Company
Openalex Percentile: Top 35%
Electric Vehicles and Infrastructure
0.42
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