Fault detection, isolation, and service restoration in distribution systems: State-of-the-art and future trends

A Zidan, M Khairalla, AM Abdrabou… - … on Smart Grid, 2016 - ieeexplore.ieee.org
This paper surveys the conceptual aspects, as well as recent developments in fault
detection, isolation, and service restoration (FDIR) following an outage in an electric …

Distribution network fault section identification and fault location using wavelet entropy and neural networks

AC Adewole, R Tzoneva, S Behardien - Applied soft computing, 2016 - Elsevier
Fault location in power system distribution networks is especially difficult because of the
existence of several laterals/tap-offs in distribution networks. This implies that the calculated …

Distribution network fault section identification and fault location using artificial neural network

M Dashtdar, R Dashti, HR Shaker - 2018 5th international …, 2018 - ieeexplore.ieee.org
In this paper, a method for fault location in power distribution network is presented. The
proposed method uses artificial neural network. In order to train the neural network, a series …

Active distribution network fault location methodology: A minimum fault reactance and Fibonacci search approach

C Orozco-Henao, AS Bretas… - International Journal of …, 2017 - Elsevier
Abstract Active Distribution Networks (ADN) are defined as distribution networks with
presence of Distributed Energy Resources (DER). In this paper, a Fault Location (FL) …

FLISR approach for smart distribution networks using E-Terra Software—A case study

DP Le, DM Bui, CC Ngo, AMT Le - Energies, 2018 - mdpi.com
A smart grid concept has been defined in recent years, which emphasizes the importance on
smart protection and measurement devices, reliable data communication and high security …

A comprehensive review of fault location methods for distribution power system

N Gana, NF Ab Aziz, Z Ali, H Hashim, B Yunus - 2017 - irepository.uniten.edu.my
Fault on distribution system does not only affect the reliability of power supply, but also
contribute to increasing operational and maintenance cost borne by the utilities. Throughout …

Classifying Electrical Faults in a Distribution System Using K-Nearest Neighbor (KNN) Model in Presence of Multiple Distributed Generators

S Awasthi, G Singh, N Ahamad - Journal of The Institution of Engineers …, 2024 - Springer
The vulnerability of distribution systems to frequent fault occurrences creates considerable
issues, particularly when distributed generators (DG) are used. The standard relaying …

Adaptive impedance-based fault location algorithm for active distribution networks

C Orozco-Henao, A Suman Bretas, J Marín-Quintero… - Applied sciences, 2018 - mdpi.com
Modern fault location methods are robust; however, they depend strongly on the availability
of the measurements given by Distributed Energy Resources (DER). If the communication or …

Detection and identification of underground cable incipient faults based on denoising autoencoder and optimized convolutional neural network

Z Xu, Z Tang, T Ji, M Li - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Most power cable permanent faults are evolved from cable incipient faults; therefore, it is
vital to identify the cable incipient faults accurately so as to eliminate the hidden faults and …

A novel fault location algorithm for mixed overhead‐cable transmission system using unsynchronized current data

J Ding, X Wang, Y Zheng, L Li - IEEJ Transactions on Electrical …, 2019 - Wiley Online Library
The characteristic impedance value of the overhead line is different from that of the
underground cable. Existing traveling wave‐based fault location methods for mixed power …