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Generate distribution circuit model using AMI data

机译:使用AMI数据生成配电电路模型

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This paper introduces a method of accurately estimating the impedance of branch circuit in distribution secondary network provided the distribution network topology is known from GIS. By leveraging a series of smart meter measurements at end nodes of the distribution network, mainly voltage, active power and reactive power at customer sites, it calculates the voltage of the most upstream node or source node in the radial network through bottom up approach. Considering the fact that the circuit parameters usually won't change in a period of times, an optimisation model is built to minimize the source node voltage variance derived from different meter node measurements over a period of times, and thus obtain the best estimates for branch impedances. In case that direct measurements are available for the source node, the objective function of the proposed method is revised to minimise the differences of the estimated source node voltage from different smart meter measurements with actual voltage measurement in the source node. The proposed optimisation method is tested with a practical distribution network and the results achieved confirm its effectiveness of the proposed method. The results also show that direct measurement in the source node, the estimate accuracy is further improved than the case without this direct measurement.
机译:本文介绍了一种准确估算配电次级网络中分支电路阻抗的方法,前提是可以从GIS中获知配电网络拓扑。通过利用配电网络末端节点上的一系列智能电表测量值(主要是客户站点处的电压,有功功率和无功功率),它通过自下而上的方法来计算径向网络中最上游节点或源节点的电压。考虑到电路参数通常在一段时间内不会改变的事实,构建了一个优化模型,以最小化一段时间内从不同电表节点测量得出的源节点电压方差,从而获得分支的最佳估算值阻抗。如果直接测量可用于源节点,则对提出的方法的目标函数进行修改,以最小化来自不同智能电表测量的估计源节点电压与源节点中的实际电压测量值之间的差异。所提出的优化方法在实际的配电网络中进行了测试,所获得的结果证实了所提出方法的有效性。结果还表明,在源节点进行直接测量时,估计精度比没有这种直接测量的情况进一步提高。

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