A critical analysis of methodologies for detection and classification of power quality events in smart grid

RK Beniwal, MK Saini, A Nayyar, B Qureshi… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, power quality (PQ) issues have drawn considerable attention of the researchers
due to the increasing awareness of the customers towards power quality. The PQ issues …

Research challenges in real-time classification of power quality disturbances applicable to microgrids: A systematic review

R Igual, C Medrano - Renewable and Sustainable Energy Reviews, 2020 - Elsevier
Microgrids with distributed renewable energy sources are especially sensitive to power
quality disturbances. To mitigate the effects of distortions, they must first be detected and …

Robust finite-time synchronization of a class of chaotic systems via adaptive global sliding mode control

X Xi, S Mobayen, H Ren… - Journal of Vibration and …, 2018 - journals.sagepub.com
This paper proposes an adaptive robust finite-time control method based on a global sliding
surface for the synchronization of a class of chaotic systems. New chattering-free control …

Fractional-order chaotic self-synchronization-based tracking faults diagnosis of ball bearing systems

HT Yau, SY Wu, CL Chen, YC Li - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This study proposes a detection method that incorporates the extension theory with
fractional-order chaotic self-synchronization of dynamic errors in order to analyze ball …

Nontechnical loss and outage detection using fractional-order self-synchronization error-based fuzzy petri nets in micro-distribution systems

SJ Chen, TS Zhan, CH Huang… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Load management is a challenging issue in micro-distribution systems dealing with power
utilities. To efficiently detect fraudulent and abnormal consumption, this paper proposes the …

Photovoltaic energy conversion system fault detection using fractional-order color relation classifier in microdistribution systems

CL Kuo, JL Chen, SJ Chen, CC Kao… - … on Smart Grid, 2015 - ieeexplore.ieee.org
In this paper, we propose a photovoltaic (PV) energy conversion system (PVECS) fault
detection scheme using a fractional-order color relation classifier in microdistribution …

Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering

B Biswal, HS Behera, R Bisoi, PK Dash - Swarm and Evolutionary …, 2012 - Elsevier
This paper presents a new approach for processing various non-stationary power quality
waveforms through a Fast S-Transform with modified Gaussian window to generate time …

Photovoltaic module fault detection based on a convolutional neural network

SD Lu, MH Wang, SE Wei, HD Liu, CC Wu - Processes, 2021 - mdpi.com
With the rapid development of solar energy, the photovoltaic (PV) module fault detection
plays an important role in knowing how to enhance the reliability of the solar photovoltaic …

An improved sampled-data synchronization criterion for delayed neural networks with two-type transmission delays

W Kwon, JM Park - Communications in Nonlinear Science and Numerical …, 2023 - Elsevier
This paper investigates the sampled-data synchronization problem for delayed neural
networks (DNNs) with two-type transmission delays by input delay approach. We propose …

Power quality disturbances diagnosis: A 2D densely connected convolutional network framework

RVA Monteiro, RFS Teixeira, AS Bretas - Electric Power Systems Research, 2022 - Elsevier
The fast and accurate diagnosis of power quality disturbances (PQD) aids in avoiding
shutdowns and unnecessary procedures, concerning electric energy distribution systems …