[HTML][HTML] Power quality monitoring in electric grid integrating offshore wind energy: A review

H Shao, R Henriques, H Morais, E Tedeschi - Renewable and Sustainable …, 2024 - Elsevier
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 …

An efficient algorithm for atomic decomposition of power quality disturbance signals using convolutional neural network

Y Han, Y Feng, P Yang, L Xu, AS Zalhaf - Electric Power Systems Research, 2022 - Elsevier
The atomic decomposition (AD) algorithm for Power Quality Disturbance (PQD) signals can
obtain sparser and physically clearer results than the conventional fixed basis …

Deep learning based a new approach for power quality disturbances classification in power transmission system

I Topaloglu - Journal of Electrical Engineering & Technology, 2023 - Springer
Power quality is one of the most important research eras for the energy sector. Suddenly
dropped voltages or suddenly rising voltages and harmonics in energy should be identified …

Classification of power quality disturbances using visual attention mechanism and feed-forward neural network

Y Zhang, Y Zhang, X Zhou - Measurement, 2022 - Elsevier
The power quality disturbances caused by large-scale grid connection of nonlinear loads
and distributed generations seriously affect the safe and stable operation of precision …

基于多层特征融合注意力网络的电能质量扰动识别方法

奚鑫泽, 邢超, 覃日升, 刘辉, 周鑫, 和鹏, 孟贤 - 智慧电力, 2022 - epjournal.csee.org.cn
针对复杂电网环境下电能质量扰动特征冗余, 分类精度低的问题, 经过多层卷积神经网络逐层
获取电能质量扰动信号低维到高维特征信息, 引入特征注意力机制构建多特征融合层消除特征冗 …

A novel deep learning-based diagnosis method applied to power quality disturbances

AD Gonzalez-Abreu, M Delgado-Prieto… - Energies, 2021 - mdpi.com
Monitoring electrical power quality has become a priority in the industrial sector background:
avoiding unwanted effects that affect the whole performance at industrial facilities is an aim …

Novel approach to collect and process power quality data in medium-voltage distribution grids

S Kryltcov, A Makhovikov, M Korobitcyna - Symmetry, 2021 - mdpi.com
The paper is devoted to the development of the structure of a fast and flexible data collecting
system based on the proposed approach to measure power quality indicators in three-phase …

An end-to-end deep learning method for voltage sag classification

R Turović, D Dragan, G Gojić, VB Petrović, DB Gajić… - Energies, 2022 - mdpi.com
Power quality disturbances (PQD) have a negative impact on power quality-sensitive
equipment, often resulting in great financial losses. To prevent these losses, besides …

Dependence of voltage fluctuation severity on clipped sinewave distortion of voltage

P Kuwałek, G Wiczyński - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
The article presents the novel findings on the dependence of voltage fluctuation severity on
voltage distortion caused by power electronic loads. The results indicate the need to modify …

Selective identification and localization of voltage fluctuation sources in power grids

P Kuwałek - Energies, 2021 - mdpi.com
The current study presents a novel approach to the selective identification and localization of
voltage fluctuation sources in power grids, considering individual disturbing loads changing …