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 systematic review of real-time detection and classification of power quality disturbances
JE Caicedo, D Agudelo-Martínez… - … and Control of …, 2023 - ieeexplore.ieee.org
This paper offers a systematic literature review of real-time detection and classification of
Power Quality Disturbances (PQDs). A particular focus is given to voltage sags and notches …
Power Quality Disturbances (PQDs). A particular focus is given to voltage sags and notches …
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 …
A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network
Abstract Automatic classification of Power Quality Disturbances (PQDs) is a challenging
concern for both the utility and industry. In this paper, a novel technique of automatic …
concern for both the utility and industry. In this paper, a novel technique of automatic …
Research challenges in real-time classification of power quality disturbances applicable to microgrids: A systematic review
R Igual, C Medrano - Renewable and Sustainable Energy Reviews, 2020 - Elsevier
Microgrids with distributed renewable energy sources are especially sensitive to power
quality disturbances. To mitigate the effects of distortions, they must first be detected and …
quality disturbances. To mitigate the effects of distortions, they must first be detected and …
Recognition of power quality disturbances using S-transform based ruled decision tree and fuzzy C-means clustering classifiers
A method based on Stockwell's transform and Fuzzy C-means (FCM) clustering initialized by
decision tree has been proposed in this paper for detection and classification of power …
decision tree has been proposed in this paper for detection and classification of power …
An efficient algorithm for atomic decomposition of power quality disturbance signals using convolutional neural network
The atomic decomposition (AD) algorithm for Power Quality Disturbance (PQD) signals can
obtain sparser and physically clearer results than the conventional fixed basis …
obtain sparser and physically clearer results than the conventional fixed basis …
Adversarial attacks and defense for CNN based power quality recognition in smart grid
J Tian, B Wang, J Li, Z Wang - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
Vulnerability of various machine learning methods to adversarial examples has been
recently explored in the literature. Power systems which use these vulnerable methods face …
recently explored in the literature. Power systems which use these vulnerable methods face …
Power quality disturbance classification based on compressed sensing and deep convolution neural networks
J Wang, Z Xu, Y Che - IEEE access, 2019 - ieeexplore.ieee.org
By analyzing the recovery and reconstruction process of various power quality single
disturbances and composite disturbance signals, we proposed a set of acquisition methods …
disturbances and composite disturbance signals, we proposed a set of acquisition methods …
Integral mathematical model of power quality disturbances
Power quality (PQ) disturbances lead to severe problems in industries and electrical grids.
To mitigate PQ problems, the accurate detection and classification of the possible …
To mitigate PQ problems, the accurate detection and classification of the possible …