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朱心月,岳云涛,李炳华,等. 电动汽车有序充放电分群调度策略[J]. 科学技术与工程, 2021, 21(19): 8023-8030.
Zhu Xinyue,Yue Yuntao,Li Binghua,et al.Orderly charging and discharging group scheduling strategyfor electric vehicles[J].Science Technology and Engineering,2021,21(19):8023-8030.
电动汽车有序充放电分群调度策略
Orderly charging and discharging group scheduling strategyfor electric vehicles
投稿时间:2020-09-24  修订日期:2021-04-12
DOI:
中文关键词:  电动汽车  V2G  有序充放电  实时优化  分群控制  优化调度  多时间尺度
英文关键词:electric vehicles  V2G  orderly charging and discharging  real-time optimization  grouping control  optimal scheduling  multiple time scales
基金项目:北京市自然科学基金(4204093)
                 
作者单位
朱心月 北京建筑大学
岳云涛 北京建筑大学
李炳华 悉地北京国际建筑设计顾问有限公司
宋欣蔚 北京建筑大学
王成 北京建筑大学
常昊 北京建筑大学
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中文摘要:
      为解决大规模电动汽车无序入网会给配电网安全稳定运行带来一系列不良影响问题,提出了V2G模式下电动汽车有序充放电实时响应分群调度策略。本文从日前-日内多时间尺度出发,充分计及车主响应意愿及响应能力,对电动汽车集群进行细致划分。针对每个调度时段,综合考虑电网、电池、车主等约束条件,建立电动汽车有序充放电优化模型。模型分为上、下两层求取电动汽车充放电调度计划:上层以调度时间区间内的配电网方差负荷曲线最小为目标,求取当前时段集群总的充放电功率;下层以电动汽车车主费用最低为目标,求取单辆电动汽车的充放电计划。通过算例仿真,验证所提模型的有效性。
英文摘要:
      In order to solve the problem that large-scale electric vehicles" disorderly access to the grid will bring a series of adverse effects to the safe and stable operation of the distribution network, a real-time response grouping scheduling strategy for orderly charging and discharging of electric vehicles under V2G mode is proposed. Starting from the day-to-day multi-time scale, this article fully considers the owner"s response willingness and response ability, and divides the electric vehicle cluster in detail. For each scheduling period, comprehensively consider the constraints of the grid, battery, and vehicle owners, and establish an orderly charging and discharging optimization model for electric vehicles. The model is divided into upper and lower layers to obtain electric vehicle charging and discharging scheduling plans: the upper layer takes the minimum variance load curve of the distribution network within the dispatch time interval as the goal, and obtains the total charging and discharging power of the cluster at the current time; the lower layer is for electric vehicle owners The lowest cost is the goal, and the charging and discharging plan for a single electric vehicle is obtained. Through simulation, the validity of the proposed model is verified.
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