Fault location method based on deep learning in new power system-Reference-Cited by-同舟云学术

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Fault location method based on deep learning in new power system

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 Asian Conference on Frontiers of Power and Energy (ACFPE)
language:
Short-container-title:

Author:

Yin Hong¹,Liu Shourui¹,Liu Xuan²,Zhang Yuan³,Li Chunbo¹

Affiliation:

1. Substation maintenance center State Grid Baoding Electric Power Supply Company,Baoding,Hebei,China

2. Grid Jibei Limited Skills Training Center,Department of Power Engineering State,Baoding,Hebei,China

3. Training Department State Grid Hebei Training Center,Baoding,Hebei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9952189/9952174/09952264.pdf?arnumber=9952264

Reference12 articles.

1. Optimal Protection Coordination Scheme for Radial Distribution Network Considering ON/OFF-Grid

2. Protection algorithms of microgrids with inverter interfaced distributed generation units—A review

3. A novel Fault Diagnosis Method for Power Transmission Lines Based on Improved Deep Belief Network [C];sun;6th International Conference on Advances in Energy Resources and Environment Engineering,2020

4. A Review of Fault Diagnosing Methods in Power Transmission Systems

5. An Advanced Signal Decomposition Technique for Islanding Detection in DG System

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