A review of machine learning approaches to power system security and stability
Increasing use of renewable energy sources, liberalized energy markets and most
importantly, the integrations of various monitoring, measuring and communication …
importantly, the integrations of various monitoring, measuring and communication …
A critical review of detection and classification of power quality events
Requirement of green supply with higher quality has been consumers' demand around the
globe. The electrical power system is expected to deliver undistorted sinusoidal rated …
globe. The electrical power system is expected to deliver undistorted sinusoidal rated …
A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network
S Wang, H Chen - Applied energy, 2019 - Elsevier
With the integration of multiple energy systems, there are more and more deterioration risks
of power quality in different energy production, transformation, delivery and consumption …
of power quality in different energy production, transformation, delivery and consumption …
[HTML][HTML] Power quality monitoring in electric grid integrating offshore wind energy: A review
The rising integration of offshore wind energy into the electric grid provides remarkable
opportunities in terms of environmental sustainability and cost efficiency. However, it poses …
opportunities in terms of environmental sustainability and cost efficiency. However, it poses …
A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances
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 …
Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review
M Mishra - International transactions on electrical energy …, 2019 - Wiley Online Library
Power quality (PQ) studies have gained huge attention from the academics and the industry
over the past three decades. The main objective of this article is to provide a comprehensive …
over the past three decades. The main objective of this article is to provide a comprehensive …
Recognition of power-quality disturbances using S-transform-based ANN classifier and rule-based decision tree
This paper deals with a modified technique for the recognition of single stage and multiple
power quality (PQ) disturbances. An algorithm based on Stockwell's transform and artificial …
power quality (PQ) disturbances. An algorithm based on Stockwell's transform and artificial …
A critical analysis of methodologies for detection and classification of power quality events in smart grid
Recently, power quality (PQ) issues have drawn considerable attention of the researchers
due to the increasing awareness of the customers towards power quality. The PQ issues …
due to the increasing awareness of the customers towards power quality. The PQ issues …
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 …
Classification of complex power quality disturbances using optimized S-transform and kernel SVM
Accurate power quality disturbance (PQD) classification is significantly important for power
grid pollution control. However, the use of nonlinear loads makes power system signals …
grid pollution control. However, the use of nonlinear loads makes power system signals …