Design of a Single-Line-to-Ground Fault Detection and Location System using Phasor Measurement Units

2021 ◽  
Author(s):  
Abdulghani Aljundi ◽  
Mustafa Hajjat ◽  
Ayman Faza
Keyword(s):  
Fault Detection ◽  
Phasor Measurement Units ◽  
Single Line ◽  
Location System ◽  
Ground Fault ◽  
Phasor Measurement ◽  
Measurement Units ◽  
Ground Fault Detection

scholarly journals High Impedance Fault Detection of Distribution Network by Phasor Measurement Units

2013 ◽  
Vol 04 (03) ◽  
pp. 297-305 ◽  
Author(s):  
Mohsen Ghalei Monfared Zanjani ◽  
Hossein Kazemi Karegar ◽  
Hasan Ashrafi Niaki ◽  
Mina Ghalei Monfared Zanjani
Keyword(s):  
Fault Detection ◽  
Distribution Network ◽  
Phasor Measurement Units ◽  
High Impedance ◽  
Phasor Measurement ◽  
High Impedance Fault ◽  
Measurement Units

Single-Line to Ground-Fault Detection for Unit Generator-Transformer Based on Wavelet Transform and Neural Networks

2016 ◽  
Vol 818 ◽  
pp. 47-51
Author(s):  
Ahmad Rizal Sultan ◽  
Mohd Wazir Mustafa ◽  
Makmur Saini
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Wavelet Transform ◽  
Fault Detection ◽  
Wavelet Transforms ◽  
Single Line ◽  
Statistical Parameters ◽  
Ground Fault ◽  
Parameters Analysis ◽  
Ground Fault Detection

This paper proposes an approach for the detection of the single line to ground fault on a unit generator-transformer, based on the extraction of statistical parameters from wavelet transform based neural network. In the simulation, the current and voltage signals were found decomposed over wavelet analysis into several approximations and details. The simulation of the unit generator-transformer was carried out using the Sim-PowerSystem Blockset of MATLAB. The statistical parameters analysis involved measurement of the dispersion factors (range and standard deviation) of wavelet coefficients. Regarding the pattern recognition of neural networks performance, the accuracy of SLG-fault detection of neural networks was 97.45 %. The results indicated that dispersion factor feature of wavelet transforms was accurate enough in distinguishing a single line to ground-fault and normal condition for a unit generator-transformer.

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

2018 ◽  
Vol 33 (6) ◽  
pp. 3173-3186 ◽  
Author(s):  
Xiaowei Wang ◽  
Jie Gao ◽  
Xiangxiang Wei ◽  
Zhihui Zeng ◽  
Yanfang Wei ◽  
...  
Keyword(s):  
Fault Detection ◽  
Distribution Network ◽  
Single Line ◽  
Ground Fault ◽  
Ground Fault Detection
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