Comprehensive review on detection and classification of power quality disturbances in utility grid with renewable energy penetration
The global concern with power quality is increasing due to the penetration of renewable
energy (RE) sources to cater the energy demands and meet de-carbonization targets. Power …
energy (RE) sources to cater the energy demands and meet de-carbonization targets. Power …
A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances
S Khokhar, AABM Zin, ASB Mokhtar… - … and Sustainable Energy …, 2015 - Elsevier
The increasing trend towards renewable energy sources requires higher power quality (PQ)
at the generation, transmission and distribution systems. The PQ disturbances are produced …
at the generation, transmission and distribution systems. The PQ disturbances are produced …
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification
As a result of the widespread use of power electronic equipment and the increase in
consumption, the importance of effective energy policies and the smart grid begins to …
consumption, the importance of effective energy policies and the smart grid begins to …
Detection and classification of multiple power quality disturbances in Microgrid network using probabilistic based intelligent classifier
Microgrid (MG) networks have evolved as reliable power source for providing secure,
reliable, and low carbon emission of energy supply to the remote communities. Power …
reliable, and low carbon emission of energy supply to the remote communities. Power …
A normalization methods for backpropagation: a comparative study
Neural Networks (NN) have been used by many researchers to solve problems in several
domains including classification and pattern recognition, and Backpropagation (BP) which is …
domains including classification and pattern recognition, and Backpropagation (BP) which is …
Power quality improvement using STS and DVR in wind energy system
Recently, renewable energy has attracted special interest because it seems to be a positive
alternative to fossil fuels. European countries, in particular, and many other developed …
alternative to fossil fuels. European countries, in particular, and many other developed …
CNN/Bi‐LSTM‐based deep learning algorithm for classification of power quality disturbances by using spectrogram images
This paper, using an inverse signal approach, presents a novel deep learning algorithm
based on a convolutional neural network (CNN) and bidirectional long short‐term memory …
based on a convolutional neural network (CNN) and bidirectional long short‐term memory …
Electromagnetic compatibility estimator using scaled conjugate gradient backpropagation based artificial neural network
CB Khadse, MA Chaudhari… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, an electromagnetic compatibility estimator is proposed using an artificial
neural network with a scaled conjugate gradient algorithm. Neural networks are trained with …
neural network with a scaled conjugate gradient algorithm. Neural networks are trained with …
Hardware in the loop implementation of wavelet based strategy in shunt active power filter to mitigate power quality issues
This paper presents a Wavelet Transform (WT) based control algorithm for a shunt active
power filter (SAPF), mainly to mitigate harmonic distortions in power distribution system …
power filter (SAPF), mainly to mitigate harmonic distortions in power distribution system …
[PDF][PDF] Power quality detection and classification using S-transform and rule-based decision tree
F Zaro, S Alqam - 2019 - researchgate.net
Power Quality (PQ) disturbances using Stockwell's transform. Modeling equations are used
for PQ disturbance generation using MATLAB program as per IEEE standards. Signals …
for PQ disturbance generation using MATLAB program as per IEEE standards. Signals …