Application of machine learning methods in fault detection and classification of power transmission lines: a survey
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 …
techniques to prevent undesired interruptions and expenses. One of the most important part …
Introduction and literature review of power system challenges and issues
Over many decades, the electric power industry has evolved from a single low-power
generator serving a small area to highly interconnected networks serving a large number of …
generator serving a small area to highly interconnected networks serving a large number of …
A deep learning based intelligent approach in detection and classification of transmission line faults
Detection and classification of transmission line (TL) faults are key factors for the fault root
cause analysis and rapid restoration of the power network. Deep learning can extract …
cause analysis and rapid restoration of the power network. Deep learning can extract …
Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults
A Moradzadeh, H Teimourzadeh… - International Journal of …, 2022 - Elsevier
Timely and accurate detection of transmission line faults is one of the most important issues
in the reliability of the power systems. In this paper, in order to assess the effects of …
in the reliability of the power systems. In this paper, in order to assess the effects of …
Mathematical morphology-based feature-extraction technique for detection and classification of faults on power transmission line
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 …
transmission network. A transmission line is the main part of this network through which …
PSO driven designing of robust and computation efficient 1D-CNN architecture for transmission line fault detection
In spite of the amazing success of deep learning in various complex classification tasks, its
real-time applications have been greatly hindered due to the enormous computational …
real-time applications have been greatly hindered due to the enormous computational …
PSD based high impedance fault detection and classification in distribution system
S Roy, S Debnath - Measurement, 2021 - Elsevier
The recent progress in the area of signal processing has led to the development of
intelligent schemes for fault classification and faulty phase selection in distribution system …
intelligent schemes for fault classification and faulty phase selection in distribution system …
A novel fault classification scheme for series capacitor compensated transmission line based on bagged tree ensemble classifier
This paper presents a novel intelligent fault classification scheme for fixed series capacitor
compensated transmission line. The singular value decomposition principle is applied along …
compensated transmission line. The singular value decomposition principle is applied along …
A robust self-attentive capsule network for fault diagnosis of series-compensated transmission line
Although the use of a series capacitor increases the transmission line (TL) capacity, it inverts
the voltage/current and creates a sub-harmonic frequency that results in unintended …
the voltage/current and creates a sub-harmonic frequency that results in unintended …
A new protection scheme for transmission lines utilizing positive sequence fault components
B Chatterjee, S Debnath - Electric Power Systems Research, 2021 - Elsevier
In this paper, a novel integrated approach of protective relaying methodology has been
adopted for detecting faults and its location estimation in long transmission line. First, the …
adopted for detecting faults and its location estimation in long transmission line. First, the …