Synchrosqueezed wavelet transform based power quality disturbance detection and monitoring of solar integrated micro-grid

D Pattanaik, SC Swain, IS Samanta… - … on Power Electronics …, 2023 - ieeexplore.ieee.org
Microgrid monitoring has gained popularity in recent years, owing to their popularity and the
power quality disturbances (PQD) caused by renewable energies. Many artificial …

[PDF][PDF] Power Quality Disturbance Detection and Monitoring of Solar Integrated Micro-Grid

D Pattanaik, SC Swain, IS Samanta, R Dash… - … Transactions on Power …, 2022 - wseas.com
Due to the popularity of microgrids and power quality disturbances (PQD) induced by
renewable energies, monitoring in microgrids has risen in popularity in recent years. For …

Detection and classification of power quality disturbances in smart grids using artificial intelligence methods

G Bayrak, A Yılmaz - Artificial Intelligence (AI), 2021 - taylorfrancis.com
The integration of distributed generation (DG) systems to smart grids is a significant issue to
achieve a reliable and stable grid operation. Many countries have established some …

Fourier Synchro squeezed-LSTM-CNN for Categorization of Power Quality Disturbances

P Soni, D Mondal, P Mishra - 2023 IEEE 3rd International …, 2023 - ieeexplore.ieee.org
Integration of renewable energy has resulted in an increase in the power quality
disturbances (PQDs) in a power network, thus, necessitating accurate PQD categorization …

Detecting and Classifying PQD's occur in Microgrid by Scaling Basis Chirplet Transform and SVM classifier based Technique

SRK Joga, C Saiprakash, P Sinha… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
In recent days, with the increase of industrial loads and residential loads need of local
sources is increased. Renewable energy sources became alternative energy local sources …

Power Quality Analysis For A Solar-Grid Integrated System Using Support Vector Machine

K Moloi, BA Thango, AF Nnnachi… - … Association of South …, 2021 - ieeexplore.ieee.org
The modern electricity society has seen an increase in the integration of renewable energy
sources into the power grid. This has significantly improved the electricity supply and …

A novel hyperparameter tuned deep learning model for power quality disturbance prediction in microgrids with attention based feature learning mechanism

R Dineshkumar, A Alphy, C Kalaivanan… - Journal of Intelligent …, 2024 - content.iospress.com
Microgrids (MGs) have become a reliable power source for supplying energy to rural areas
in a secure, consistent, and low-carbon emission manner. Power quality disturbance (PQD) …

A Generalized Classification Framework for Power Quality Disturbances Based on Synchrosqueezed Wavelet Transform and Convolutional Neural Networks

YSU Vishwanath, S Esakkirajan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Power quality disturbances (PQDs) pose a significant threat to the reliability, efficiency, and
security of electrical power systems and ought to be detected and classified. This allows for …

Dual tree complex wavelet transform based detection of power quality disturbances

PK Ra, G Karmakar, FYS Eddy… - … -Asia (ISGT Asia), 2018 - ieeexplore.ieee.org
Dual tree complex wavelet transform (DTCWT) based approach is proposed in this paper for
the detection of different power quality (PQ) disturbances in renewable energy based hybrid …

WPD for detecting disturbances in presence of noise in smart grid for PQ monitoring

SMA Bhuiyan, J Khan, G Murphy - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Power quality (PQ) monitoring has been an important issue in smart grid (SG). PQ study
involves the detection of the disturbances/events in different power system signals of the SG …