Optimal load management strategy for large electric vehicle charging stations with undersized charger clusters

IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IET Electrical Systems in Transportation Pub Date : 2021-10-09 DOI:10.1049/els2.12037
Erdem Gümrükcü, Ferdinanda Ponci, Antonello Monti, Giuseppe Guidi, Salvatore D’Arco, Jon Are Suul
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引用次数: 6

Abstract

This study proposes a load management strategy for parking and charging facilities with the capacity to serve several hundreds of electric vehicles. The strategy is built upon two assumptions on power distribution systems of large charging stations: i) they are configured as clusters, each comprising a number of charging units for reduced cabling complexity, ii) the power delivery components (such as feeders and circuit breakers) of individual clusters are sized for load factors smaller than 100% to reduce the capital costs. Unless controlled, the load demand can concentrate into particular cluster(s) whereas other clusters can still tolerate additional demand. This may lead to avoidable load interruptions and, thus, reduced energy provision. To address this issue, a load management strategy that optimises the distribution of vehicles across the clusters and their charging profiles is proposed. The strategy is compared in simulation with a benchmark strategy in different commercial parking lot scenarios. The results demonstrate that the optimal management achieves identical demand fulfilment rates despite more pronounced load factor limitations as compared to the benchmark strategy. This can enable further reduction in system component sizing. In the tested scenarios, the proposed strategy leads to increased long term profits ranging between 12% and 43%.

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小型充电集群下大型电动汽车充电站最优负荷管理策略
德国联邦教育和研究部(BMBF),拨款/奖励编号:01DR18004;挪威研究委员会;由Projekt DEAL提供和组织的开放获取资金。摘要本研究提出了一种可为数百辆电动汽车提供服务的停车和充电设施的负载管理策略。该策略建立在对大型充电站配电系统的两个假设之上:i)它们被配置为集群,每个集群包括多个充电单元,以降低布线复杂性;ii)单个集群的电力输送组件(如馈线和断路器)的大小适合小于100%的负载系数,以降低资本成本。除非得到控制,否则负荷需求可以集中到特定的集群中,而其他集群仍然可以承受额外的需求。这可能导致可避免的负载中断,从而减少能源供应。为了解决这个问题,提出了一种负载管理策略,该策略可以优化车辆在集群中的分布及其充电情况。将该策略与不同商业停车场场景下的基准策略进行了仿真比较。结果表明,与基准策略相比,尽管负荷因素限制更为明显,但最优管理仍能实现相同的需求满足率。这可以进一步减少系统组件的大小。在经过测试的场景中,所提出的策略可带来12%至43%的长期利润增长。
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来源期刊
CiteScore
5.80
自引率
4.30%
发文量
18
审稿时长
29 weeks
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