基于数据挖掘的电动汽车充电设施配置与两阶段充电优化调度

Electric Vehicle Charging Facilities Planning and Its Two-stage Optimal Charging Based on Data Mining

电动汽车充电负荷的大量增长将对电力系统安全运行带来严重影响。该文基于配变运行数据进行了充电区域的充电设施配置并设计了电动汽车三相调控充电方法。首先通过数据挖掘,获取配电变压器历史功率冗余度与相偏差度,根据冗余度与相偏差度进行了充电区域充电设施配置。接下来建立了电动汽车充电三相优化调控的两阶段优化模型,优化第一阶段根据实时潮流对电动汽车接入位置进行优化选择。优化第二阶段,基于负荷走势特征值,结合系统三相运行状态,对电动汽车进行充电功率控制。算例结果表明,该文所提充电设施规划方法,能够在系统安全水平内降低配电变压器功率冗余度。三相调控模型可以在满足电动汽车用户充电需求的前提下改善系统三相运行状态。

The greatly increase of electric vehicle charging load brings challenges to the operation of power systems.Based on the data of distribution transformers operation,we proposed the charging facilities configuration method and designed a three phases optimal charging method.The charging facilities configuration depended on two transformer＇s indexes which resulting from data mining： capacity redundancy rate and deviation degree of different phases.In first stage of optimal charging,determined the electric vehicle ordered charging facility by real time power flow.In second stage,the charging power control was implemented based on the state of system and the trend characteristic value,the latter factor was also came from the distribution transformers operation data.Conducted experiments prove the effectiveness of the proposed method.