A review on power electronics technologies for power quality improvement

JL Afonso, M Tanta, JGO Pinto, LFC Monteiro… - Energies, 2021 - mdpi.com
Nowadays, new challenges arise relating to the compensation of power quality problems,
where the introduction of innovative solutions based on power electronics is of paramount …

Large-scale integration of distributed generation into distribution networks: Study objectives, review of models and computational tools

ASN Huda, R Živanović - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
In terms of the improvement of reliability and efficiency, integration of distributed generation
(DG) into distribution network has gained significant interest in recent years. However …

High-impedance fault detection in the distribution network using the time-frequency-based algorithm

A Ghaderi, HA Mohammadpour… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
A new high-impedance fault (HIF) detection method using time-frequency analysis for
feature extraction is proposed. A pattern classifier is trained whose feature set consists of …

Complex power quality disturbances classification via curvelet transform and deep learning

H Liu, F Hussain, Y Shen, S Arif, A Nazir… - Electric Power Systems …, 2018 - Elsevier
This paper presents a novel approach to detect and classify the power quality disturbance
(PQD) signals based on singular spectrum analysis (SSA), curvelet transform (CT) and deep …

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 …

A real-time power quality events recognition using variational mode decomposition and online-sequential extreme learning machine

M Sahani, PK Dash, D Samal - Measurement, 2020 - Elsevier
In this paper, variational mode decomposition (VMD) and online-sequential extreme
learning machine (OSELM) are integrated to detect and classify power quality events (PQEs) …

SSR damping in fixed-speed wind farms using series FACTS controllers

HA Mohammadpour, MM Islam… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Subsynchronous resonance (SSR) damping in fixed-speed wind turbine generator systems
(FSWTGS) by using two series flexible ac transmission system (FACTS) devices, the thyristor …

Bridging the gap between signal and power

MHJ Bollen, IYH Gu, S Santoso… - IEEE Signal …, 2009 - ieeexplore.ieee.org
This article focuses on problems and issues related to PQ and power system diagnostics, in
particular those where signal processing techniques are extremely important. PQ is a …

Disturbance ratio for optimal multi-event classification in power distribution networks

MD Borrás, JC Bravo… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents an effective approach to identify power quality (PQ) events based on
IEEE Std 1159-2009 caused by intermittent power sources like those of renewable energy …

A two-stage wavelet decomposition method for instantaneous power quality indices estimation considering interharmonics and transient disturbances

Y Yu, W Zhao, S Li, S Huang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As the complexity increases in modern power systems, power quality (PQ) analysis
considering interharmonics has become a challenging and important task. This article …