A Method for Fault Section Identification of Distribution Networks Based on Validation of Fault Indicators Using Artificial Neural Network

A Method for Fault Section Identification of Distribution Networks Based on Validation of Fault Indicators Using Artificial Neural Network

A fault section in Korean distribution networks is generally determined as a section between a switch with a fault indicator (FI) and a switch without an FI. However, the existing method cannot be applied to distribution networks with distributed generations (DGs) due to false FIs that are generated...

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Bibliographic Details
Main Authors: Myong-Soo Kim, Jae-Guk An, Yun-Sik Oh, Seong-Il Lim, Dong-Hee Kwak, Jin-Uk Song
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Energies
Subjects:
artificial neural network
distribution automation system
distribution network
fault indicator
fault section identification
Online Access:https://www.mdpi.com/1996-1073/16/14/5397

Internet

https://www.mdpi.com/1996-1073/16/14/5397

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