Fault location in AC transmission lines with back-to-back MMC-HVDC using ConvNets

Fault location in AC transmission lines with back-to-back MMC-HVDC using ConvNets

The back-to-back modular multi-level converter–high-voltage DC (MMC-HVDC) system is gaining popularity in the field of enhancing power transmission capacity but poses challenges to fault diagnosis. A novel method for the fault location for such a system based on convolutional networks (ConvNets) is...

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Bibliographic Details
Main Authors: Beier Zhu, Haozong Wang, Shenxing Shi, Xinzhou Dong
Format: Article
Language:English
Published: Wiley 2019-04-01
Series:The Journal of Engineering
Subjects:
fault diagnosis
feature extraction
learning (artificial intelligence)
HVDC power convertors
fault location
HVDC power transmission
power transmission faults
power transmission lines
convolution
feedforward neural nets
power engineering computing
regression analysis
AC transmission lines
ConvNets
power transmission capacity
fault location network
fault-type information
MMC-HVDC transmission system
fault conditions
convolutional networks
modular multilevel converter–high-voltage DC system
linear regression
automatic learning
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8706

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8706

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