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Node voltage estimation in distribution networks by simple ANN

机译:基于简单神经网络的配电网节点电压估计

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摘要

The procedure for estimation of steady-state node voltage magnitudes in distribution network has been presented. The estimation method is based on the simple Artificial Neural Network (ANN) using voltage measurements in a few network nodes. The nodes used for voltage measurements are determined based on the proposed node index. The ANN is employed to estimate the voltages in the rest of network nodes. The ANN training data are generated by power flow calculations performed in the simulation tool. After ANN was trained the new data set has been used for testing the ANN. The performances of the proposed method are tested on standard distribution test network IEEE 13 node system. The highest estimation error for tested data is about 0.025 p.u.
机译:提出了估计配电网中稳态节点电压幅值的程序。估计方法基于简单的人工神经网络(ANN),其中使用了几个网络节点中的电压测量值。根据建议的节点索引确定用于电压测量的节点。人工神经网络用于估计其余网络节点中的电压。通过在仿真工具中执行的潮流计算来生成ANN训练数据。在对ANN进行培训之后,新的数据集已用于测试ANN。在标准分布测试网络IEEE 13节点系统上测试了该方法的性能。测试数据的最高估计误差约为0.025p.u。

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