电动汽车充电站的充电定价策略研究

Research on Charging Pricing Strategy of Electric Vehicle Charging Station

针对宁波电动汽车市场充电价格单一、错峰充电行为并未普及的现状,以充电价格和用户充电行为习惯为切入点,挖掘充电站运营数据,以利润最大化为目标,建立了分时定价和分区域定价数学模型。综合考虑分时和分区域定价模型,采用Multi-agent仿真优化算法,运用ANYLOGIC仿真软件,优化充电价格,并实现区域电动汽车充电站实时运营状态的仿真与监控。

Based on the single charging price and unpopularized off-peak charging in Ningbo electric vehicle market, a mathematical time-of-use pricing and regional pricing model is established by learning charging price and charging behavior habit of consumers and collecting charging pile operating data to maximize the profit. In consideration of time-of-use pricing and regional pricing model, Multi-agent optimization and ANYLOGIC are adopted to optimize charging price and implement simulation and monitoring of real-time operating status of local electric vehicle charging station.