摘要
分时电价作为一项有效的需求响应手段,为解决居民区由于电动汽车渗透率的不断增加而原有电力设备不能满足充电需求的问题提供了方向。首先基于电动汽车用户的出行习惯和调度选择建立负荷曲线,然后以总负荷峰谷差最小为目标对总负荷进行一次调整,最后结合负荷削减成本,以用户综合电费敏感度最小为目标得到分时电价,实现了对总负荷的二次调整。此外,在模型求解过程中对粒子群算法进行了改进。算例表明,可以通过电价设计使得负荷聚合商有能力满足电动汽车充电需求,并且该方法确定的电价有利于引导电动汽车车主由不允许聚合商调度转向允许聚合商调度,算例还表明改进的粒子群算法收敛速度更快。
As an effective demand response means,the time-of-use(abbr.TOU)price provides an approach to solve the trouble that due to the increasing penetration of electric vehicle(abbr.EV)in residential area the existing power equipments cannot meet the need of the requirement of EV charging.For this reason,firstly,based on the travel habits and scheduling choices of electric vehicle users a load curve was established.Secondly,taking the minimum peak to valley difference of the total load as the objective the primary adjustment of total load was performed.Finally,combining with the cost of load reduction and taking the least sensitivity of users’comprehensive electric charge as the objective,the TOU price was obtained and the secondary adjustment of the total load was realized.Moreover,during the solving of the model the particle swarm optimization(abbr.PSO)algorithm was improved.Results of computing example show that by means of electricity price design it is possible to make the load aggregator enable to meet the need of EV charging,the electricity price determined by the proposed method is beneficial to lead the EV owners from not allowing the aggregator to schedule to allowing the aggregator to schedule,besides,it is also shown that the improved PSO algorithm possesses a higher convergence rate.
作者
韩秉乾
刘敏
HAN Bingqian;LIU Min(School of Electrical Engineering,Guizhou University,Guiyang 550025,Guizhou Province,China)
出处
《现代电力》
北大核心
2023年第3期342-351,共10页
Modern Electric Power
关键词
分时电价
居民区
负荷削减
改进粒子群
电动汽车
time of use tariff
residential areas
load reduction
improved particle swarm algorithm
electric vehicle
