An improved automated PQD classification method for distributed generators with hybrid SVM-based approach using un-decimated wavelet transform
Artificial intelligence (AI) approaches are usually coupled with the wavelet transform (WT) for
feature extraction to classify the power quality disturbances (PQDs). Therefore, selecting a …
feature extraction to classify the power quality disturbances (PQDs). Therefore, selecting a …
A novel dual-attention optimization model for points classification of power quality disturbances
Y Liu, T Jin, MA Mohamed - Applied Energy, 2023 - Elsevier
The rapid development of the power grid makes power quality disturbances (PQDs) more
complex. Accurately classifying PQDs and measuring the duration of each disturbance …
complex. Accurately classifying PQDs and measuring the duration of each disturbance …
[PDF][PDF] A Review on Intelligent Detection and Classification of Power Quality Disturbances: Trends, Methodologies, and Prospects.
Y Yan, K Chen, H Geng, W Fan… - … -Computer Modeling in …, 2023 - cdn.techscience.cn
With increasing global concerns about clean energy in smart grids, the detection of power
quality disturbances (PQDs) caused by energy instability is becoming more and more …
quality disturbances (PQDs) caused by energy instability is becoming more and more …
Adversarial attack and training for deep neural network based power quality disturbance classification
L Zhang, C Jiang, Z Chai, Y He - Engineering Applications of Artificial …, 2024 - Elsevier
Power quality disturbance (PQD) can significantly affect the normal operation of the power
system. Deep neural network (DNN) can classify PQD with extremely high accuracy …
system. Deep neural network (DNN) can classify PQD with extremely high accuracy …
[HTML][HTML] Research on Start-stop standby energy storage element participating in wind power filtering under the influence of power quality disturbance
X Zheng, Z Gong, Z Liu, Z Li, D Yuan, T Jin - International Journal of …, 2023 - Elsevier
In order to realize effective noise reduction of wind power under the influence of complex
power quality disturbance (PQD), an application fusion method of improved smoothing and …
power quality disturbance (PQD), an application fusion method of improved smoothing and …
A parallelized input matching LMS adaptive filter for the rejection of spatially cyclic disturbances
Q Liu, X Huo, KZ Liu, H Zhao - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Spatially cyclic disturbances exist widely in rotating machines. They usually have fixed
spatial cycles rather than constant time periods, which affect the stationarity of angular …
spatial cycles rather than constant time periods, which affect the stationarity of angular …
A comprehensive research of machine learning algorithms for power quality disturbances classifier based on time-series window
The importance of power quality monitoring, detection, and classification on electrical
systems increased recently in terms of economics, security, the efficiency depending on the …
systems increased recently in terms of economics, security, the efficiency depending on the …
A new comparative approach based on features of subcomponents and machine learning algorithms to detect and classify power quality disturbances
Current measurement systems based on the IEEE-1159 standard have some limitations and
robustness problems under noisy and fast-changing conditions. Besides, applying different …
robustness problems under noisy and fast-changing conditions. Besides, applying different …
Highly accurate detection of power quality disturbance using segmented and modified S-transform
M Liu, Y Chen, Z Zhang, S Deng, Q Wang - Electric Power Systems …, 2022 - Elsevier
Power quality (PQ) is important for the normal operation of modern power grids. The
accurate detection of PQ disturbances is the basis for dealing with PQ events in power …
accurate detection of PQ disturbances is the basis for dealing with PQ events in power …
A new methodology to improve wind power prediction accuracy considering power quality disturbance dimension reduction and elimination
X Zheng, F Bai, Z Zeng, T Jin - Energy, 2024 - Elsevier
The proper integration of wind power-driven grids relies heavily on a reliable balance
between electricity production and demand. Therefore, accurate prediction is essential for …
between electricity production and demand. Therefore, accurate prediction is essential for …