A real-time topology identification method of distribution networks based on CNN-LSTM-Attention

A real-time topology identification method of distribution networks based on CNN-LSTM-Attention

Accurate identification of the topology in a distribution network is crucial for its operation and control. Addressing the dynamic changes in the actual topology of distribution networks， an intelligent deep learning model capable of recognizing distribution network topologies was developed. Firstly...

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Bibliographic Details
Main Authors: LING Jiakai, ZHANG Yizhou, HU Jinfeng, QIN Jun, DAI Jian, FEI Youdie, ZHU Zhen
Format: Article
Language:zho
Published: zhejiang electric power 2024-03-01
Series:Zhejiang dianli
Subjects:
distribution networks
topology identification
convolutional neural network
long short-term memory network
attention mechanism
Online Access:https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=3d2aff3a-187d-49d6-8d55-eda22b006f15

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https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=3d2aff3a-187d-49d6-8d55-eda22b006f15

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