High impedance fault detection: A review

A Ghaderi, HL Ginn III, HA Mohammadpour - Electric power systems …, 2017 - Elsevier
Protection from the high impedance fault (HIF) has been one of the biggest challenges in the
power distribution network. HIF typically occurs when the conductors in distribution network …

Application of signal processing techniques and intelligent classifiers for high-impedance fault detection in ensuring the reliable operation of power distribution …

R Varghese P, MSP Subathra, ST George… - Frontiers in Energy …, 2023 - frontiersin.org
High-impedance fault (HIF) is always a threat and the biggest challenge in the power
transmission and distribution system (PTDS). For a PTDS to operate effectively, HIF …

Non-linear high impedance fault distance estimation in power distribution systems: A continually online-trained neural network approach

PE Farias, AP De Morais, JP Rossini… - Electric Power Systems …, 2018 - Elsevier
This paper presents a new methodology for high impedance fault (HIF) location in overhead
power distribution systems. A polynomial function was used to model the voltage at fault …

Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system

K Naidu, MS Ali, AH Abu Bakar, CK Tan, H Arof… - Plos one, 2020 - journals.plos.org
This paper proposes an approach to accurately estimate the impedance value of a high
impedance fault (HIF) and the distance from its fault location for a distribution system. Based …

[图书][B] Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

NB Roy, K Bhattacharya - 2021 - taylorfrancis.com
Accurate, fast, and reliable fault classification techniques are an important operational
requirement in modern-day power transmission systems. Application of Signal Processing …

Support vector classification and regression for fault location in distribution system using voltage sag profile

SS Gururajapathy, H Mokhlis… - IEEJ Transactions on …, 2017 - Wiley Online Library
Fault location identification is an important task to provide reliable service to the customer.
Most existing artificial intelligence methods such as neural network, fuzzy logic, and support …

High impedance faults location in the distribution networks using adaptive neuro-fuzzy inference system

A Bouricha, T Bouthiba, R Boukhari… - … on Electrical Sciences …, 2018 - ieeexplore.ieee.org
The High Impedance Faults are the faults which are difficult to detect. In this paper, a
generalized High Impedance Faults arc model is presented. The proposed model is based …

Identification of small-signal dynamic faults in distribution systems utilizing intelligent classifiers

AJ Abianeh, M Hosseini, M Hosseini… - 2020 IEEE Power & …, 2020 - ieeexplore.ieee.org
This study is mainly focused on identification of minor faults in power distribution systems
utilizing four intelligent classifiers for pattern recognition. Dynamics discussed in this paper …

Studies on the application of wavelet families for a high impedance fault location algorithm in a distribution network

MS Ali, AHA Bakar, CK Tan… - Turkish Journal of …, 2016 - journals.tubitak.gov.tr
Detecting high impedance faults in a distribution network is a great challenge and locating
one is even more challenging. This paper will present an enhanced high impedance fault …

Signal analysis‐based fault classification and estimation of fault location of an unbalanced network using S‐transform and neural network

N Roy, K Bhattacharya - IEEJ Transactions on Electrical and …, 2016 - Wiley Online Library
This paper demonstrates a technique for the diagnosis of the type of fault and the faulty
phase on an overhead transmission line, followed by locating the particular fault on the …