A New S-Transform-Based Method for Identification of Power Quality Disturbances
Sign Up to like & getrecommendations! Published in 2018 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-017-2895-2
Abstract: Nowadays, the identification and mitigation of power quality (PQ) disturbances are very important issues for electric companies and industries. In this paper, a new method is presented for the classification of PQ disturbances. At first,… read more here.
Keywords: power quality; transform based; method; identification ... See more keywords
A classification method for multiple power quality disturbances using EWT based adaptive filtering and multiclass SVM
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.01.038
Abstract: Abstract This paper presents an automated recognition approach for the classification of power quality (PQ) disturbances based on adaptive filtering and a multiclass support vector machine (SVM). Empirical wavelet transform-based adaptive filtering technique is suitable… read more here.
Keywords: classification; adaptive filtering; power quality; based adaptive ... See more keywords
Sensory processing sensitivity as a predictor of health-related quality of life outcomes via stress and sleep quality
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-72657-9
Abstract: Sensory processing sensitivity (SPS), linked to processing external and internal stimuli, has drawn attention to its associations with clinical factors, particularly with health-related quality of life (HRQOL) variables. This study examined the relationships among SPS,… read more here.
Keywords: stress sleep; health; quality disturbances; sleep quality ... See more keywords
Multi-Label Classification for Power Quality Disturbances by Integrated Deep Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3124511
Abstract: The traditional power quality disturbances classification methods include three stages, i.e., feature extraction, feature selection, classifier training. These methods suffer from low accuracy and a limited improvement margin. Since deep learning can greatly improve the… read more here.
Keywords: quality disturbances; power quality; classification; deep learning ... See more keywords
Optimal Feature Selection via NSGA-II for Power Quality Disturbances Classification
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2017.2773475
Abstract: This paper presents an application of nondominated sorting genetic algorithm II (NSGA-II) for multiobjective feature selection in power quality disturbances classification. Classification error and number of features are collectively minimized to ensure good accuracy and… read more here.
Keywords: classification; feature selection; power quality; quality disturbances ... See more keywords
PowerCog: A Practical Method for Recognizing Power Quality Disturbances Accurately in a Noisy Environment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3104008
Abstract: Currently, with the growing applicability of nonlinear electrical devices, power quality disturbances (PQDs) often occur in power systems. Previous works usually extracted statistical features from electrical signals manually and constructed classifiers with traditional machine learning… read more here.
Keywords: noisy environment; practical method; power; quality disturbances ... See more keywords
A Novel Recognition Method for Complex Power Quality Disturbances Based on Visualization Trajectory Circle and Machine Vision
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3204985
Abstract: Accurate and fast recognition of power quality disturbances (PQDs) is very significant for power pollution control. A novel method based on visualization trajectory circle (TC) and machine vision is proposed to ameliorate the recognition accuracy… read more here.
Keywords: recognition; based visualization; quality disturbances; power quality ... See more keywords
Grid Synchronization of a PV System With Power Quality Disturbances Using Unscented Kalman Filtering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2018.2864822
Abstract: This paper proposes a new grid integration control scheme for a single-stage PV system connected to a three phase grid, that implements an Unscented Kalman Filter algorithm (UKF) to abstract the fundamental components of the… read more here.
Keywords: pcc voltage; quality disturbances; power; power quality ... See more keywords
Identification of Multiple Power Quality Disturbances Problems in Wind-Grid Integration System
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Renewable Energy Research"
DOI: 10.20508/ijrer.v9i3.9741.g7722
Abstract: In the modern era, the more usage of the non-linear load has increased the importance of power quality (PQ) monitoring. This paper purposes the novel algorithm based on Multivariate singular spectral analysis (MSSA), Wavelet Packet… read more here.
Keywords: system; power quality; identification multiple; quality disturbances ... See more keywords
Flexible Entropy Based Feature Selection and Multi Class SVM for Detection and Classification of Power Quality Disturbances
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2018.1031.13
Abstract: Power quality disturbances (PQD) are becoming more and more complicated due to the vast growth of power quality oriented applications particularly the power electronic equipment’s. Since the power with less power quality consequences to a… read more here.
Keywords: detection; classification; power quality; power ... See more keywords
Identification of composite power quality disturbances based on relative position matrix
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Energy Research"
DOI: 10.3389/fenrg.2023.1326522
Abstract: With the integration of large-scale nonlinear loads and distributed power sources into the grid, composite power quality disturbances (PQDs) events are becoming increasingly common, which significantly degrade the quality of power supply. Therefore, this paper… read more here.
Keywords: quality; classification; power quality; quality disturbances ... See more keywords