A Decentralized Fault Section Location Method Using Autoencoder and Feature Fusion in Resonant Grounding Distribution Systems-Reference-Cited by-同舟云学术

A Decentralized Fault Section Location Method Using Autoencoder and Feature Fusion in Resonant Grounding Distribution Systems

Published:2022-12 Issue:4 Volume:16 Page:5698-5707
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Li Zi-Jing¹,Lin Shuyue¹^ORCID,Guo Mou-Fa¹^ORCID,Tang J.²

Affiliation:

1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China

2. Shanghai Holystar Information Technology Company, Ltd, Shanghai, China

Funder

National Natural Science Foundation of China

Project of Research of Flexible and Adaptive Arc-Suppression Method for Single-Phase Grounding Fault in Distribution Networks

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/9979155/09728755.pdf?arnumber=9728755

Reference27 articles.

1. Edge Computing-Based Fault Location in Distribution Networks by Using Asynchronous Transient Amplitudes at Limited Nodes

2. Faulty Feeder Detection of Single Phase-Earth Fault Using Grey Relation Degree in Resonant Grounding System

3. Single Line to Ground Fault Detection in a Non-Effectively Grounded Distribution Network

4. Fault Detection Based on the Generalized S-Transform With a Variable Factor for Resonant Grounding Distribution Networks

5. A Decentralized Fault Detection Technique for Detecting Single Phase to Ground Faults in Power Distribution Systems With Resonant Grounding

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