Volume 42: Energy Transitions toward Carbon Neutrality: Part V

Charging Pricing Strategy of Fast Charging Station Considering Electric Vehicle Charging Right Trading Mechanism Shangting Jin, Yunfei Mu, Kangning Zhao, Hongjie Jia, Guoqiang Zu, Xiaonan Liu, Yan Qi

Abstract

The zero-carbonization trend has accelerated the popularity of EVs due to their low-carbon emissions and energy-efficiency advantages. FCS act as both charging service operator and load aggregator. They need to benefit from providing charging service to electric vehicle users while also coordinating the charging power of EVs to prevent overloading. This paper proposes a novel approach that integrates charging right trading and charging pricing using reinforcement learning algorithms. The proposed framework takes into account the influence of charging right prices on charging demand of EV users. It employs a reinforcement learning algorithm to learn the optimal charging pricing strategy and EV charging schedule for FCS, with the aim of maximizing the benefit of FCS. Numerical experiments are conducted to demonstrate the effectiveness of the proposed method.

Keywords Charging right, Electric vehicle (EV), Fast charging station (FCS), Pricing strategy