Fault Identification Method for the Whole Map of Station Area Considering Node Correlation
Author:
Affiliation:
1. South China University of Technology,School of Electrical Power,Guangzhou,China
2. Dispatching and Control Center of Guangdong Power Grid Co., Ltd,System Analysis Department of Electric,Guangdong,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256662/10256687/10256837.pdf?arnumber=10256837
Reference15 articles.
1. On-line Fault Section Location and Classification Technique for Low Voltage Active Distribution Network[J];geng;Proceedings of the CSEE,2017
2. Fault Type Recognition of Over-head Lines of Distribution Networks Based on Fault Indicator Waveform Data
3. Fault Location Method for Distribution Network Based on LSTM-CNN Machine Learning[J];feixiang;Guangdong Electric Power,2021
4. An Edge-cloud Collaborative Fault Detection Method for Low-voltage Distribution Networks Based on Random Matrix Theory[J];bihuan,0
5. Distribution Network Fault Location Based on Graph Attention Network[J];jiawei;Power System Technology,2021
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