A comprehensive review of deep-learning applications to power quality analysis

IS Samanta, S Panda, PK Rout, M Bajaj, M Piecha… - Energies, 2023 - mdpi.com
Power quality (PQ) monitoring and detection has emerged as an essential requirement due
to the proliferation of sensitive power electronic interfacing devices, electric vehicle charging …

Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue

P Pijarski, A Belowski - Energies, 2024 - mdpi.com
The challenges currently faced by network operators are difficult and complex. Presently,
various types of energy sources with random generation, energy storage units operating in …

[HTML][HTML] Analysis of the influence of the charging process of an electrical vehicle on voltage distortions in the electrical installation

A Dobrzycki, L Kasprzyk, MS Çetin, MT Gençoğlu - Applied Sciences, 2024 - mdpi.com
The noticeable dynamic development of electromobility poses new challenges for the
energy industry and users of electric vehicles. One of these challenges is coping with the …

A generalized approach for power quality disturbances recognition based on Kalman filter

AA Abdelsalam, AY Abdelaziz, MZ Kamh - IEEE Access, 2021 - ieeexplore.ieee.org
This paper presents a new automatic detection and classification approach of power quality
(PQ) problems using Kalman filter. Kalman filter is used as an estimator to calculate the …

[HTML][HTML] Sodium sulfur batteries allocation in high renewable penetration microgrids using coronavirus herd immunity optimization

M Alqarni - Ain Shams Engineering Journal, 2022 - Elsevier
Energy storage batteries have been described as an ideal way to solve renewable energy
problems, improve self-consumption rate (ScR), and pave the way for further growth in …

PowerCog: A practical method for recognizing power quality disturbances accurately in a noisy environment

L Fu, K Yan, T Zhu - IEEE Transactions on Industrial Informatics, 2021 - ieeexplore.ieee.org
Currently, with the growing applicability of nonlinear electrical devices, power quality
disturbances (PQDs) often occur in power systems. Previous works usually extracted …

PQEventCog: Classification of power quality disturbances based on optimized S-transform and CNNs with noisy labeled datasets

L Fu, X Deng, H Chai, Z Ma, F Xu, T Zhu - Electric Power Systems Research, 2023 - Elsevier
Power quality disturbances (PQDs) recognition is a vital topic for smart grid governance.
Previous work has achieved remarkable success by promoting signal processing and …

Power quality disturbance recognition using empirical wavelet transform and feature selection

S Chen, Z Li, G Pan, F Xu - Electronics, 2022 - mdpi.com
With the growth of nonlinear electrical equipment, power quality disturbances (PQDs) often
appear in electrical systems. To solve this, a practical heuristic methodology for PQD …

A novel microgrid islanding detection algorithm based on a multi-feature improved LSTM

Y Xia, F Yu, X Xiong, Q Huang, Q Zhou - Energies, 2022 - mdpi.com
Islanding detection is one of the conditions necessary for the safe operation of the microgrid.
The detection technology should provide the ability to differentiate islanded operations from …

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

R Dineshkumar, A Alphy, C Kalaivanan… - Journal of Intelligent …, 2024 - content.iospress.com
MGs are composed of loads with distributed sources of energy that may function together
inside well-defined electrical boundaries to produce a single, controlled entity which can be …