Transmission line faults in power system and the different algorithms for identification, classification and localization: a brief review of methods

A Mukherjee, PK Kundu, A Das - Journal of The Institution of Engineers …, 2021 - Springer
Transmission lines are one of the most widely distributed engineering systems meant for
transmitting bulk amount of power from one corner of a country to the farthest most in the …

Self attention convolutional neural network with time series imaging based feature extraction for transmission line fault detection and classification

SR Fahim, Y Sarker, SK Sarker, MRI Sheikh… - Electric Power Systems …, 2020 - Elsevier
This paper introduces a novel self-attention convolutional neural network (SAT-CNN) model
for detection and classification (FDC) of transmission line faults. The transmission lines …

Artificial intelligence based faults identification, classification, and localization techniques in transmission lines-a review

S Kanwal, S Jiriwibhakorn - IEEE Latin America Transactions, 2023 - ieeexplore.ieee.org
An overview of the many methods used for fault detection, classification and location in the
power system, particularly in transmission lines, is provided in this review, it also includes an …

Transmission line fault location using PCA-based best-fit curve analysis

A Mukherjee, PK Kundu, A Das - Journal of The Institution of Engineers …, 2021 - Springer
The paper presents a principal component analysis (PCA)-based method for localization of
various power system faults in a 150 km long single side fed transmission line using quarter …

[PDF][PDF] Grid-Forming and Grid-Following Based Microgrid Inverters Control.

AM Jasim, BH Jasim - Iraqi Journal for Electrical & Electronic Engineering, 2022 - iasj.net
Microgrids (ℳ-grids) can be thought of as a small-scale electrical network comprised of a mix
of Distributed Generation (DG) resources, storage devices, and a variety of load species. It …

Comparison of various mother wavelets for fault classification in electrical systems

C Pothisarn, J Klomjit, A Ngaopitakkul, C Jettanasen… - Applied Sciences, 2020 - mdpi.com
This paper presents a comparative study on mother wavelets using a fault type classification
algorithm in a power system. The study aims to evaluate the performance of the protection …

Advanced Fault Detection, Classification, and Localization in Transmission Lines: A Comparative Study of ANFIS, Neural Networks, and Hybrid Methods

S Kanwal, S Jiriwibhakorn - IEEE Access, 2024 - ieeexplore.ieee.org
Electric systems are getting more complex with time, and primitive protection methods such
as traveling wave and impedance-based methods face limitations and shortcomings. This …

Transient fault detection and location in power distribution network: A review of current practices and challenges in Malaysia

SH Asman, NF Ab Aziz, UA Ungku Amirulddin… - Energies, 2021 - mdpi.com
An auto-restoration tool to minimize the impact of faults is one of the critical requirements in
a power distribution system. A fault-monitoring system is needed for practical remote …

Fault Detection and Classification to Design a Protection Scheme for Utility Grid with High Penetration of Wind and Solar Energy

A Gupta, RK Pachar, OP Mahela… - International Journal of …, 2023 - Wiley Online Library
This paper designed a protection scheme for utility grid with high share of renewable energy
(RE) generated from wind energy and solar energy plants. This is based on extraction of …

A current based hybrid algorithm using discrete wavelet transform and Hilbert transform for detection and classification of power system faults in the presence of solar …

MZ Khoker, OP Mahela… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
This presents a current based algorithm using complex features evaluated by the use of
discrete wavelet transform (DWT) and Hilbert transform (HT) for identification and …