The penetration of photovoltaics (PVs) and electric vehicles (EVs) is increasing in active distribution networks (ADN), which may lead to severe voltage violation problems. This paper proposes a two-stage real-time Volt/Var control method to mitigate fast voltage violations. In the first stage, hourly on-load tap changer (OLTC) and capacitor banks (CBs) are scheduled based on the optimal power flow method. The optimization problem is formulated as a mixed-integer second-order cone programming (MISOCP) which can be effectively solved. In the second stage, a data-driven network partition method is proposed to select critical bus and assess the voltage violation risk of each control area, followed by the intra-day dispatch of EVs. Based on the partition results, reactive power of PVs and EVs is controlled in real-time to mitigate voltage violations. Considering the suddenly active power drop of PVs, a rule-based control strategy coordinating PVs and CBs is proposed to improve the reactive power reserve in ADN. The proposed approach is tested on the IEEE 33-bus and 123-bus distribution networks and simulation results verify the effectiveness both in network partition and real-time voltage control.

中文翻译：

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数据驱动分区方法在有源配电网中的实时电压/电压控制

在有源配电网（ADN）中，光伏（PV）和电动汽车（EV）的普及率正在增加，这可能会导致严重的电压违规问题。本文提出了一种两阶段的实时伏特/瓦尔控制方法，以减轻快速违反电压的情况。在第一阶段，基于最佳潮流方法对每小时的有载分接开关（OLTC）和电容器组（CB）进行调度。优化问题被表述为可以有效解决的混合整数二阶锥规划（MISOCP）。在第二阶段，提出了一种数据驱动的网络分区方法，以选择关键总线并评估每个控制区域的电压违规风险，然后在当日调度电动汽车。根据分区结果，可实时控制PV和EV的无功功率，以缓解电压违规情况。考虑到PV的突然有功功率下降，提出了一种基于规则的控制策略来协调PV和CB，以提高ADN中的无功功率储备。该方法在IEEE 33总线和123总线配电网络上进行了测试，仿真结果验证了网络分区和实时电压控制的有效性。