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Topology Identification of Intelligent Distribution Network Based on 1D-CNN

Aiming at the problem that the topology of distribution network changes frequently and it is difficult to obtain the topology, a distribution network topology identification method based on one-dimensional convolutional neural network is proposed. The convolution neural network is used to mine and learn the characteristics of the measured data, and the obtained model is used to identify the distribution network topology. The proposed method only needs time section data for topology identification, which is not only suitable for radial network, but also suitable for looped network. The effectiveness of the proposed method is verified by IEEE33 node distribution network connected to distributed energy.