引用本文:李怡然,张姝,肖先勇,汪颖.V2G模式下计及供需两侧需求的电动汽车充放电调度策略[J].电力自动化设备,2021,41(3):
LI Yiran,ZHANG Shu,XIAO Xianyong,WANG Ying.Charging and discharging scheduling strategy of EVs considering demands of supply side and demand side under V2G mode[J].Electric Power Automation Equipment,2021,41(3):
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 4310次   下载 1992  
V2G模式下计及供需两侧需求的电动汽车充放电调度策略
李怡然, 张姝, 肖先勇, 汪颖
四川大学 电气工程学院,四川 成都 610065
摘要:
随着电动汽车(EV)渗透率日益增长,研究EV的有序充放电策略对缓解EV规模化入网带来的负面影响、保证电网的经济安全运行具有重要的意义。为此,提出了一种计及用户和电网两侧需求的EV日内调度策略。首先,考虑用户响应调度的意愿和能力,确定EV调度可行性;然后,在第一阶段用户侧优化中通过定义平均放电率指标、动态放电损耗成本完善用户侧需求,在第二阶段优化中考虑电网削峰填谷的优化需求;最后,通过两阶段优化求解获得计及供需两侧需求的EV充放电调度策略。与以成本导向为目标的充放电调度策略的仿真结果进行对比可知,所提调度策略有效地降低了用户成本和电池损耗,减小了负荷峰谷差,平抑了负荷波动,实现了电网与EV用户双方的共赢。
关键词:  电动汽车  充放电调度策略  日内调度  供需优化
DOI:10.16081/j.epae.202012023
分类号:U469.72
基金项目:四川大学专职博士后研发基金资助项目(2019SCU12003)
Charging and discharging scheduling strategy of EVs considering demands of supply side and demand side under V2G mode
LI Yiran, ZHANG Shu, XIAO Xianyong, WANG Ying
College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Abstract:
With the increasing penetration rate of EVs(Electric Vehicles),it is of great significance to study the ordered charging and discharging strategy of EVs to mitigate the negative impact of EVs’ large-scale gird-connection and ensure the safe and economic operation of power grid. To this end, an intra-day scheduling strategy of EVs considering the demands of both user side and grid side is proposed. Firstly, EV scheduling feasibility is determined by considering users’ willingness and ability to respond to scheduling. Then, in the first stage of user side optimization, the average discharging rate index and dynamic discharging loss cost are defined to improve the user side demand. In the second optimization stage, the peak load shifting optimization demand of power grid is considered. Finally, the charging and discharging scheduling strategy of EVs considering the demands of supply side and demand side is obtained through two-stage optimization solution. Simulative results of the proposed control strategy are compared with that of cost-oriented charging and discharging scheduling strategy, which shows that the proposed scheduling strategy effectively reduces the users’ cost and battery loss, decreases the peak and valley load difference, smoothes the load fluctuation, and realizes a win-win situation for both the power grid and EV users.
Key words:  electric vehicles  charging and discharging scheduling strategy  intra-day scheduling  supply and demand optimization

用微信扫一扫

用微信扫一扫