High-precision identification of power quality disturbances based on discrete orthogonal S-transforms and compressed neural network methods
Power quality disturbances (PQDs) occur as the use of non-linear load and renewable-
based micro-grids increases. This paper presents a new algorithm that consists of the …
based micro-grids increases. This paper presents a new algorithm that consists of the …
Detection and classification of power quality disturbances using stock well transform and improved grey wolf optimization-based kernel extreme learning machine
Power quality disturbances (PQDs) in modern electrical power systems, caused by the
integration of nonlinear power electronic devices and erratic distributed generation (DG) …
integration of nonlinear power electronic devices and erratic distributed generation (DG) …
A new method for recognition and classification of power quality disturbances based on IAST and RF
Z Jiang, Y Wang, Y Li, H Cao - Electric Power Systems Research, 2024 - Elsevier
Vigorously developing new energy sources such as wind power and photovoltaics will
promote the low-carbon transformation of the power system. With the increase of the …
promote the low-carbon transformation of the power system. With the increase of the …
Classification of Power Quality Disturbances Using Resnet with Channel Attention Mechanism
S Pan, X Nie, X Zhai, B Wang, H Ge, C He… - arXiv preprint arXiv …, 2024 - arxiv.org
The detection and classification of power quality disturbances (PQDs) carries significant
importance for power systems. In response to this imperative, numerous intelligent …
importance for power systems. In response to this imperative, numerous intelligent …
Integrated Vehicle-to-Grid Control of a Smart City Power Network Microgrid
RN Mahia, R Mishra, S Gupta… - Emerging Electrical and …, 2024 - taylorfrancis.com
Smart city policy makers are forming regulatory and structural measures to ensure zero
vehicle emissions based on new fuel economy standards to reduce environmental pollution …
vehicle emissions based on new fuel economy standards to reduce environmental pollution …
Smart Power Quality Monitoring System for Smart Cities
In this chapter, we designed a smart power quality (PQ) monitoring system (SPQMS) to
detect and categorize PQ disturbances associated with smart city power networks using …
detect and categorize PQ disturbances associated with smart city power networks using …
Invariant Feature Extraction for Power Quality Disturbances Using Deep Learning-Compact and Interpretable Features Enhance Performance on Downstream Tasks
E Stenhede Johansson, V Schütz - 2024 - odr.chalmers.se
Feature extraction is a crucial step for tasks such as classification, clustering and predictive
risk estimation. In power quality analysis, feature selection is often performed by domain …
risk estimation. In power quality analysis, feature selection is often performed by domain …
Reducción de armónicos para mejorar la calidad de energía mediante un filtro activo de potencia controlado por la función de Lyapunov
MB Chamorro Lucas - 2023 - dspace.ups.edu.ec
En el artículo se realizó la mejora de la calidad de energía mediante la reducción de
armónicos, donde se utiliza un filtro activo de potencia hibrido (SHAPF), que se controla …
armónicos, donde se utiliza un filtro activo de potencia hibrido (SHAPF), que se controla …