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多主体利益均衡的电动汽车充电站最优规划方法

Optimal planning method for electric vehicle charging stations with multi-stakeholder interest equilibrium

  • 摘要: 电动汽车和分布式光伏的激增对配电网安全稳定运行提出了重大挑战,有序充电和车网互动可以有效缓解配电网的运行压力。为此,提出了一种均衡多主体利益的电动汽车充电站(electric vehicle charging station,EVCS)最优规划方法。首先,考虑有序充电和车网互动,通过动态电价与用户响应确定柔性充放电功率。其次,构建针对配电网运营、光伏发电、电动汽车聚合和电动汽车用户等多主体利益的均衡优化模型,通过NSGA-Ⅲ求解得到最优规划功率。最后,考虑不同类型电动汽车的充放电需求,构建由集中式充电站(centralized charging station,CCS)和分布式充电站(distributed charging station,DCS)组成的EV充电网络,实现最优规划功率在CCS和DCS间的分配,并进行配电网安全校验和配电设施升级以满足安全运行需求。山东省某市电网的仿真结果表明了该方法的有效性。

     

    Abstract: The rapid proliferation of electric vehicles (EVs) and distributed photovoltaic (PV) poses significant challenges to the safe and stable operation of distribution networks. Ordered charging and vehicle-to-grid (V2G) offer effective means to alleviate the operational pressure of distribution networks. Therefore, this paper proposes an optimal planning method for electric vehicle charging stations (EVCSs) that balances the interests of multiple stakeholders. First, considering ordered charging and V2G, the flexible charging/discharging power is determined based on dynamic pricing signals and user response behavior. Second, a multi-stakeholder equilibrium optimization model is established to coordinate the benefits of multiple stakeholders, including distribution system operators, photovoltaic power producers, EV aggregators, and EV users, and is solved by NSGA-Ⅲ algorithm to obtain the optimal planned charging and discharging power. Finally, to accommodate various charging and discharging requirements across different EV types, an EV charging network composed of centralized charging station (CCS) and distributed charging station (DCS) is constructed, and optimal power allocation between CCS and DCS is achieved. Distribution network security verification as well as distribution facility upgrading are carried out to meet the operational safety requirements. Simulation results of a power grid in a city of Shandong Province validate the effectiveness of the proposed method.

     

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