High Impedance Single-Phase Faults Diagnosis in Transmission Lines via Deep Reinforcement Learning of Transfer Functions-Reference-Cited by-同舟云学术

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High Impedance Single-Phase Faults Diagnosis in Transmission Lines via Deep Reinforcement Learning of Transfer Functions

Published:2021 Issue: Volume:9 Page:15796-15809
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Teimourzadeh Hamid,Moradzadeh Arash^ORCID,Shoaran Maryam^ORCID,Mohammadi-Ivatloo Behnam^ORCID,Razzaghi Reza^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09328357.pdf?arnumber=9328357

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1. Analyzing the Impact of Ground Resistance on Distance Relay Performance with Mho Characteristics;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

2. A novel fault diagnosis method for key transmission sections based on Nadam-optimized GRU neural network;Electric Power Systems Research;2024-08

3. Applications of tunable-Q factor wavelet transform and AdaBoost classier for identification of high impedance faults: Towards the reliability of electrical distribution systems;Energy Exploration & Exploitation;2024-06-11

4. AI Applications to Enhance Resilience in Power Systems and Microgrids—A Review;Sustainability;2024-06-10

5. A fault recognition method for transmission systems based on independent component analysis and convolutional neural networks;Electric Power Systems Research;2024-04

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