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A data driven approach to distribution network topology identification

机译:数据驱动的配电网拓扑识别方法

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This paper proposes a methodology for estimating radial distribution grid topologies with the use of smart meter data. Power and voltage measurements from smart meters installed in consumer point of common coupling to the distribution grid can be used for calculating the voltage sensitivity matrix. The authors argue that this matrix can be utilized for estimating the distribution grid topology. The distribution grid sensitivity approach followed is first presented. Next the authors describe a simple method for identifying the voltage sensitivity matrix given a set of appropriate smart meter power and voltage measurements and without full knowledge of the distribution grid topology. After identifying the voltage sensitivity matrix an algorithm is presented for the estimation of the distribution grid topology. Since GIS is not yet supported for MV and especially LV networks, this methodology can enhance the optimal distribution grid planning and operation.
机译:本文提出了一种使用智能电表数据估算径向分布网格拓扑的方法。从安装在公用耦合的用户点上的智能电表到配电网的功率和电压测量可用于计算电压灵敏度矩阵。作者认为,该矩阵可用于估计配电网拓扑。首先介绍了遵循的配电网敏感性方法。接下来,作者描述了一种简单的方法,该方法可在给定一组适当的智能电表功率和电压测量值且无需完全了解配电网拓扑的情况下,识别电压灵敏度矩阵。在识别了电压灵敏度矩阵之后,提出了一种用于估计配电网拓扑的算法。由于MV(尤其是低压网络)尚不支持GIS,因此该方法可以增强最佳的配电网规划和运营。

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