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Evaluation of Accommodation Capability for Electric Vehicles of a Distribution System Considering Coordinated Charging Strategies

机译:考虑协调收费策略的分配系统电动汽车的住宿能力评估

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摘要

In recent years, the ever-increasing charging demand of electric vehicles (EVs) imposes challenges on both power supply security and reliability in the distribution system. In this paper, an EV accommodation capability evaluation model of a distribution system, with high penetrations of flexible resources, is established. Firstly, according to the actual classifications of EVs and transportation rules, a Monte Carlo simulation is used to simulate the charging behaviors of EVs so as to obtain the relevant parameters of EV charging. Then, a coordinated charging optimization model for various types of EVs is proposed based on the charging characteristics of EVs. The presented model comprises a mixed-integer linear programming problem and a constrained optimization problem which are respectively solved by CPLEX (the Simplex method implemented in the °C programming language) and the particle swarm optimization (PSO) algorithm. Last of all, a real-life distribution system in the coastal areas of China is served for demonstrating the feasibility and efficiency of the proposed approach. Moreover, the impacts of flexible resources, distribution network zoning rules, and EV growth on the EV accommodation capability of a distribution system are also discussed.
机译:近年来,越来越多的电动汽车充电需求(EVS)对配电系统的供电安全性和可靠性施加了挑战。在本文中,建立了一种具有较高灵活资源渗透的分配系统的EV容纳能力评价模型。首先,根据EVS和运输规则的实际分类,Monte Carlo仿真用于模拟EVS的充电行为,以获得EV充电的相关参数。然后,基于EVS的充电特性提出了一种用于各种EVS的协调充电优化模型。所提出的模型包括混合整数线性编程问题,以及由CPLEX(以°C编程语言实现的单纯x方法)和粒子群优化(PSO)算法分别解决的约束优化问题。最后,中国沿海地区的现实生活分销系统是为了证明所提出的方法的可行性和效率。此外,还讨论了灵活资源,分配网络分区规则和EV增长对分销系统的EV容纳能力的影响。

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