Application of machine learning methods in fault detection and classification of power transmission lines: a survey

FM Shakiba, SM Azizi, M Zhou, A Abusorrah - Artificial Intelligence Review, 2023 - Springer
The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …

Fault detection, classification and location for transmission lines and distribution systems: a review on the methods

K Chen, C Huang, J He - High voltage, 2016 - Wiley Online Library
A comprehensive review on the methods used for fault detection, classification and location
in transmission lines and distribution systems is presented in this study. Though the three …

[HTML][HTML] Real-time sensing and fault diagnosis for transmission lines

FM Shakiba, M Shojaee, SM Azizi, M Zhou - International Journal of …, 2022 - sciltp.com
Protection of high voltage transmission lines is one of the crucial problems in the power
system engineering. Accurate and timely detection and identification of transmission line …

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 …

Line-to-line fault detection for photovoltaic arrays based on multiresolution signal decomposition and two-stage support vector machine

Z Yi, AH Etemadi - IEEE Transactions on Industrial Electronics, 2017 - ieeexplore.ieee.org
Fault detection in photovoltaic (PV) arrays becomes difficult as the number of PV panels
increases. Particularly, under low irradiance conditions with an active maximum power point …

Optimally detecting and classifying the transmission line fault in power system using hybrid technique

P Rajesh, R Kannan, J Vishnupriyan, B Rajani - ISA transactions, 2022 - Elsevier
In this paper, a hybrid system is proposed to predict and classifies the power system
transmission line faults. The proposed technique is the consolidation of both the truncated …

An intelligent fault detection and classification technique based on variational mode decomposition-CNN for transmission lines installed with UPFC and wind farm

S Biswas, PK Nayak, BK Panigrahi… - Electric Power Systems …, 2023 - Elsevier
The output voltage and current signals of grid-connected doubly-fed induction generator
(DFIG)-based wind turbine generators (WTGs) are significantly modulated during grid …

Mathematical morphology-based feature-extraction technique for detection and classification of faults on power transmission line

R Godse, S Bhat - IEEE Access, 2020 - ieeexplore.ieee.org
The permanency of highly-reliable power supply is a core trait of an electric power
transmission network. A transmission line is the main part of this network through which …

[HTML][HTML] A review of fault diagnosing methods in power transmission systems

A Raza, A Benrabah, T Alquthami, M Akmal - Applied Sciences, 2020 - mdpi.com
Transient stability is important in power systems. Disturbances like faults need to be
segregated to restore transient stability. A comprehensive review of fault diagnosing …

Challenges and opportunities of FACTS devices interacting with electric vehicles in distribution networks: A technological review

A Mousaei, M Gheisarnejad, MH Khooban - Journal of energy storage, 2023 - Elsevier
Electric vehicles have many opportunities to participate in auxiliary operations as research
interest in renewables and green energy sources grows. This paper discusses novel energy …