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...

Повний опис

Бібліографічні деталі
Автори: LING Jiakai, ZHANG Yizhou, HU Jinfeng, QIN Jun, DAI Jian, FEI Youdie, ZHU Zhen
Формат: Стаття
Мова:zho
Опубліковано: zhejiang electric power 2024-03-01
Серія:Zhejiang dianli
Предмети:
distribution networks
topology identification
convolutional neural network
long short-term memory network
attention mechanism
Онлайн доступ:https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=3d2aff3a-187d-49d6-8d55-eda22b006f15

Інтернет

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

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