Energy Management Strategy of Photovoltaic Charging Station for Electric Vehicles in Commercial Area

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Xiong, Wei^1 ; Yu, Xiaoqing^1 ; Yang, Yun^1

School of Design, South China University of Technology, Guangzhou

510640, China^1

关键词: Electric vehicle charging;    Electricity prices;    Energy management strategies;    Monte Carlo sampling;    Photovoltaic power generation;    Python programming;    Real-time energy management;    Utilization rates;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032024/pdf
DOI  :  10.1088/1757-899X/452/3/032024

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Aiming at the problem of orderly charging in the electric vehicle charging stations based on photovoltaic power generation, a set of real-time energy management strategy is put forward in different period of time. The strategy is based on the premise of considering constraints and the principle of minimizing the operating cost of the charging station, taking into account factors such as photovoltaic utilization rate, real-time electricity price and battery loss. Taking the commercial area photovoltaic charging station as an example, Monte Carlo sampling method is used to provide basic behavior data of electric vehicles, and the effectiveness of the strategy is verified by Python programming.