Machine learning applications in power system fault diagnosis: Research advancements and perspectives

R Vaish, UD Dwivedi, S Tewari, SM Tripathi - Engineering Applications of …, 2021 - Elsevier
Newer generation sources and loads are posing new challenges to the conventional power
system protection schemes. Adaptive and intelligent protection methodology, based on …

State‐of‐the‐art on the protection of FACTS compensated high‐voltage transmission lines: a review

S Biswas, PK Nayak - High voltage, 2018 - Wiley Online Library
In recent years, the inclusion of flexible AC transmission systems (FACTS)‐based
compensating devices such as a thyristor‐controlled series capacitor (TCSC) and a unified …

Combined fault location and classification for power transmission lines fault diagnosis with integrated feature extraction

YQ Chen, O Fink, G Sansavini - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
Accurate and timely diagnosis of transmission line faults is key for reliable operations of
power systems. Existing fault-diagnosis methods rely on expert knowledge or extensive …

Wavelet‐based extreme learning machine for distribution grid fault location

M Shafiullah, MA Abido… - IET Generation …, 2017 - Wiley Online Library
Precise knowledge of faults is very exigent to reduce the outage duration as most of the
customer minute losses in distribution grids occur due to longer period of interruptions …

Application of machine learning for fault classification and location in a radial distribution grid

YD Mamuya, YD Lee, JW Shen, M Shafiullah, CC Kuo - Applied sciences, 2020 - mdpi.com
Fault location with the highest possible accuracy has a significant role in expediting the
restoration process, after being exposed to any kind of fault in power distribution grids. This …

[HTML][HTML] A review on fault classification methodologies in power transmission systems: Part-II

A Prasad, JB Edward, K Ravi - Journal of Electrical Systems and …, 2018 - Elsevier
The countless extent of power systems and applications requires the improvement in
suitable techniques for the fault classification in power transmission systems, to increase the …

Fault Detection in Distribution Network with the Cauchy-M Estimate—RVFLN Method

C Haydaroğlu, B Gümüş - Energies, 2022 - mdpi.com
Fault detection is an important issue in today's distribution networks, the structure of which is
becoming more complex. In this article, a data-based Cauchy distribution weighting M …

[HTML][HTML] Fault classification and localization of multi-machine-based ieee benchmark test case power transmission lines using optimizable weighted extreme learning …

M Hassan, SP Biswas, SAH Chowdhury… - Electric Power Systems …, 2024 - Elsevier
Accurate fault diagnosis in transmission lines is crucial to ensure the reliability and stability
of power grids. Conventional approaches often rely on expert knowledge or complex feature …

Towards automated statistical partial discharge source classification using pattern recognition techniques

H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

A robust transmission line fault classification scheme using class-dependent feature and 2-Tier multilayer perceptron network

MN Mahmud, MN Ibrahim, MK Osman, Z Hussain - Electrical Engineering, 2018 - Springer
Faults frequently occur in transmission lines and become a major issue in power system
engineering. It is an unavoidable incident and leads to many problems such as failure of …