Islanding detection in microgrid using deep learning based on 1D CNN and CNN-LSTM networks

AK Ozcanli, M Baysal - Sustainable Energy, Grids and Networks, 2022 - Elsevier
Islanding detection is a critical task due to safety hazards and technical issues for the
operation of microgrids. Deep learning (DL) has been applied for islanding detection and …

[PDF][PDF] Fault Detection in Cluster Microgrids of Urban Community using Multi Resolution Technique based Wavelet Transforms

SB Rao, NR Narayana, TD Prasanna… - … Journal of Renewable …, 2022 - researchgate.net
Due to significant distributed generator penetrations, microgrid protection issues have an
impact on power system reliability. As a result, fault identification and protection in …

A condition monitoring and fault detection in the windings of power transformer using impulse frequency response analysis

R Kumar, A Vaijayanthi, R Deshmukh, B Vedik… - International Journal of …, 2022 - Springer
The power transformer is one of the most important pieces of equipment and plays a vital
role in the power system. Failure of the transformer may cause an outage of the power …

Neuro-wavelet protection scheme for PV-wind energy source integrated 6-terminal power network with IoT-based smart environment

RK Goli, YM Sree, GV Priya - Journal of The Institution of Engineers (India) …, 2022 - Springer
Microgrids are currently one among the most extensively employed techniques in the power
network to lower system losses and raise the reliability of electrical systems. Power project …

Fault Classification in a DG Connected Power System using Artificial Neural Network

A Bhuyan, BK Panigrahi, S Pati - Indonesian Journal of …, 2022 - section.iaesonline.com
Distributed generation is playing an important role in power system to meet the increased
load demand. Integration of Distributed Generator (DG) to grid leads to various issues of …

Identification of fault and section identification in multi-terminal HVDC system using unit protection scheme

RK Singh, S Agarwal, V Verma - International Journal of System …, 2022 - Springer
Abstract The Multi-Terminal Direct Current Transmission System (MTDC) is technically
superior and economically more efficient than the AC transmission system, with a higher …

Classification of Line to Ground Fault in Transmission Line Using Artificial Neural Network

S Dixit, BK Panigrahi, SP Shukla - … International Conference on …, 2022 - ieeexplore.ieee.org
This paper focuses on Artificial Neural Networks (ANN) based technique to find out the line
to ground faults in a transmission line. Modelling of transmission line is modelled using …