Line protection in presence of high penetration of wind energy: a review on possible solutions
In the present scenario, renewable energy sources are more encouraged to produce power
because of their environmental and economic benefits and wide availability. Furthermore …
because of their environmental and economic benefits and wide availability. Furthermore …
Detection and classification of short-circuit faults on a transmission line using current signal
This study offers two support vector machine (SVM) models for fault detection and fault
classification, respectively. Different short-circuit events were generated using a 154 kV …
classification, respectively. Different short-circuit events were generated using a 154 kV …
Simplicial complexes using vector visibility graphs for multivariate classification of faults in electrical distribution systems
The reliability and efficiency of electrical distribution systems are required for ensuring an
uninterrupted power supply and minimizing operational disruption, as failures could lead to …
uninterrupted power supply and minimizing operational disruption, as failures could lead to …
Fault detection and classification in interconnected system with wind generation using ann and svm
Protective relays are installed in generation, transmission, and distribution system for
detection, classification, and estimation of faults. To match the future load demand and to get …
detection, classification, and estimation of faults. To match the future load demand and to get …
Mathematical Morphology based Sensing of Power System Disturbances using PCA aided Support Vector Machine
This article introduces a methodology of mathematical morphology (MM)-based power
system disturbances (PSDs) sensing using principal component analysis (PCA)-aided …
system disturbances (PSDs) sensing using principal component analysis (PCA)-aided …
A Lissajous based technique for fault detection and faulty phase identification in transmission line
S Saha, A Debnath, Y Pavankumar… - 2023 Second …, 2023 - ieeexplore.ieee.org
This study presents a technique for fault detection and faulty phase identification in
transmission lines based on the change in the Lissajous pattern. Lissajous figure reveals …
transmission lines based on the change in the Lissajous pattern. Lissajous figure reveals …
High impedance single line to ground fault detection and wavelet-alienation based faulty phase identification
S Koley, S Chattopadhyay, SA Hamim… - 2022 IEEE 6th …, 2022 - ieeexplore.ieee.org
This paper presents a wavelet based technique for fault detection and faulty phase
identification in transmission lines. The current signals from both ends of the transmission …
identification in transmission lines. The current signals from both ends of the transmission …
Fault Classification in Electrical Distribution Systems using Grassmann Manifold
Electrical fault classification is vital for ensuring the reliability and safety of power systems.
Accurate and efficient fault classification methods are essential for timely and effective …
Accurate and efficient fault classification methods are essential for timely and effective …
Distribution Grid Fault Classification and Localization using Convolutional Neural Networks
This manuscript addresses the critical challenge of fault classification and localization within
smart distribution networks, exacerbated by the complex integration of distributed energy …
smart distribution networks, exacerbated by the complex integration of distributed energy …
Enhancing Power Grid Reliability: Evaluating Machine Learning Algorithms for Fault Classification in Inverter-Based Generators Interconnection Lines
TMOA Cunha, MJBB Davi… - 2024 21st International …, 2024 - ieeexplore.ieee.org
Through the transition of the energy matrix, which has resulted in a more significant share of
renewable energy sources, there is a massive integration of Inverter-Based Resources …
renewable energy sources, there is a massive integration of Inverter-Based Resources …