考虑电动汽车充电的主动配电网阻塞调度方法

Congestion scheduling method of active distribution network considering electric vehicle charging

针对主动配电网受电动汽车时空不确定充电特性的影响,无法实现阻塞有效调度的问题。在考虑电动汽车充电特性的基础上,提出主动配电网阻塞调度方法。通过数据拟合技术分析时空不确定充电特性,利用正态分布计算车辆概率密度。充分响应电力市场奖惩共存特征,计算线路传输的有功功率,利用潮流追踪技术计算缓解阻塞电量和减少阻塞电量。从充电设施运营商角度出发,构建充电费用最小、车主用电方式满意度最大的运营商盈利目标函数。利用带权极小模理想点法求解目标函数,并设计主动配电网阻塞调度流程。以IEEE33配电系统为对象进行算例分析,由分析结果可知,使用该方法调度的主动配电网节点均未超过标准负载率,优化了调度效果。

Due to the influence of the uncertain charging characteristics of electric vehicles in time and space,the active distribution network can not achieve effective congestion scheduling.Considering the charging characteristics of electric vehicles,an active distribution network congestion scheduling method is proposed.The time and space uncertain charging characteristics are analyzed by data fitting technology,and the vehicle probability density is calculated by using normal distribution.Fully respond to the coexistence of rewards and punishments in the power market,calculate the active power transmitted by the line,and use the power flow tracing technology to calculate the congestion mitigation electricity and reduce the congestion electricity.From the perspective of charging facility operators,the profit objective function of operators with the minimum charging cost and the maximum satisfaction of the owner’s electricity use mode is constructed.The weighted minimum modulus ideal point method is used to solve the objective function,and the congestion dispatching flow of active distribution network is designed.Taking IEEE33 distribution system as an example,the analysis results show that the active distribution network nodes dispatched by this method do not exceed the standard load rate,which optimizes the dispatching effect.