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Optimal planning of electric vehicle charging stations comprising multi- types of charging facilities

机译:包含多种充电设施的电动汽车充电站的优化规划

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Along with the rapid development of electric vehicle (EV) charging technologies, many new types of charging facilities have been utilized in electric vehicle charging stations (EVCSs). Charging facilities with different rated charging power can satisfy the charging demands from diverse EV owners, and simultaneously impact the spatial and temporal distribution of EV charging demands, which in consequence challenges the rationality and economy of EVCS allocation schemes. Based on this background, this paper indicates that EVCSs should be regarded to comprise multi-types of charging facilities during the planning stage, and a new optimization model is proposed for the target of minimizing the annualized social cost of whole EV charging system. To process the complexity of the optimization model, a two-step equivalence is proposed and applied. After the equivalence and some exact relaxation, the proposed optimization model has been transformed into the type of mixed integer second-order cone programming (MISOCP), which can be efficiently solved by appropriate mathematical methods. To demonstrate the feasibility and effectiveness of the proposed approach, a practical urban area fed by a 31-bus distribution system in China has been used as the test system and the numerical results are presented and analyzed.
机译:随着电动汽车(EV)充电技术的飞速发展,电动汽车充电站(EVCS)已使用了许多新型的充电设施。具有不同额定充电功率的充电设备可以满足不同电动汽车所有者的充电需求,同时影响电动汽车充电需求的时空分布,从而挑战了EVCS分配方案的合理性和经济性。在此背景下,本文提出在规划阶段应将EVCS视为包括多种类型的充电设施,并提出了一种新的优化模型,以使整个EV充电系统的年化社会成本最小化。为了处理优化模型的复杂性,提出并应用了两步等价法。经过等价和精确的松弛后,所提出的优化模型已转换为混合整数二阶锥规划(MISOCP)的类型,可以通过适当的数学方法对其进行有效求解。为了证明该方法的可行性和有效性,以中国31座公交配送系统为馈电的实际市区作为测试系统,并对数值结果进行了分析。

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