Machine learning applications in cascading failure analysis in power systems: A review

NM Sami, M Naeini - Electric Power Systems Research, 2024 - Elsevier
Cascading failures pose a significant threat to power grids and have garnered considerable
research interest in the power system domain. The inherent uncertainty and severe impact …

Dual-channel convolutional network-based fault cause identification for active distribution system using realistic waveform measurements

H Liu, S Liu, J Zhao, T Bi, X Yu - IEEE Transactions on Smart …, 2022 - ieeexplore.ieee.org
Accurate and rapid identification of distribution system fault causes is essential for power
system reliability enhancement. Manual fault cause identification requires extensive human …

Typical fault cause recognition of single-phase-to-ground fault for overhead lines in nonsolidly earthed distribution networks

YL Liang, KJ Li, Z Ma, WJ Lee - IEEE Transactions on Industry …, 2020 - ieeexplore.ieee.org
The single-phase-to-ground fault (SPGF) affects the reliability and security of the distribution
system greatly. Accurate online recognition of fault causes can help improve the efficiency of …

Fault‐cause identification method based on adaptive deep belief network and time–frequency characteristics of travelling wave

H Liang, Y Liu, G Sheng, X Jiang - … Generation, Transmission & …, 2019 - Wiley Online Library
Accurate fault‐cause identification is highly important to the fault analysis of overhead
transmission lines (OTLs). In order to improve the efficiency and accuracy of fault …

RSSPN: robust semi-supervised prototypical network for fault root cause classification in power distribution systems

T Zheng, Y Liu, Y Yan, S Xiong, T Lin… - … on Power Delivery, 2021 - ieeexplore.ieee.org
The power distribution system's fault root cause classification is an important but challenging
problem. Traditional classifiers fail to achieve high accuracy and good generalization …

[PDF][PDF] 基于多源信息融合的配网故障外部原因识别

谭媛, 张文海, 王杨 - 电力建设, 2023 - epjournal.csee.org.cn
配网故障原因的准确识别对于缩短故障查找时间, 提高供电恢复速度和供电可靠性有重要意义.
根据责任归属可将配网故障原因分为内部原因和外部原因, 内部原因指设备绝缘弱化 …

Automated distribution network fault cause identification with advanced similarity metrics

X Jiang, B Stephen, S McArthur - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
Distribution network monitoring has the potential to improve service levels by reporting the
origin of fault events and informing the nature of remedial action. To achieve this practically …

ORCA: Outage root cause analysis in DER-rich power distribution system using data fusion, hierarchical clustering and FP-growth rule mining

A Gholami, AK Srivastava - IEEE Transactions on Smart Grid, 2023 - ieeexplore.ieee.org
Power outages have been an inevitable part of power delivery systems. In case of large
scale outages with conflicting information in the distribution network with distributed energy …

An ultra-lightweight and ultra-fast abnormal target identification network for transmission line

J Zhang, J Wang, S Zhang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The faults caused by abnormal transmission line targets have become the main reason for
the outage of transmission lines. This has brought great economic losses to society. At …

A modified mutual impedance based backup protection for series-compensated transmission lines

S Anand, K Kalita, SK Parida - Electric Power Systems Research, 2023 - Elsevier
This paper proposes a modified mutual impedance based backup protection for series-
compensated transmission line. In case of failure of current-differential scheme, distance …