A review of cyber–physical security for photovoltaic systems

J Ye, A Giani, A Elasser, SK Mazumder… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
In this article, the challenges and a future vision of the cyber–physical security of
photovoltaic (PV) systems are discussed from a firmware, network, PV converter controls …

[HTML][HTML] Overview of fault detection approaches for grid connected photovoltaic inverters

A Malik, A Haque, VSB Kurukuru, MA Khan… - e-Prime-Advances in …, 2022 - Elsevier
Over the past few years, the power electronic converters have gained significant attraction
among researchers, especially as an interface between distributed generation (DG) systems …

Toward data-driven optimal control: A systematic review of the landscape

K Prag, M Woolway, T Celik - IEEE Access, 2022 - ieeexplore.ieee.org
This literature review extends and contributes to research on the development of data-driven
optimal control. Previous reviews have documented the development of model-based and …

Real-time AI-based anomaly detection and classification in power electronics dominated grids

M Baker, AY Fard, H Althuwaini… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Real-time anomaly detection system (ADS) and anomaly classification system (ACS)
techniques are becoming a crucial need for future power electronic dominated grid (PEDG) …

Towards Physics-Informed Machine Learning-Based Predictive Maintenance for Power Converters–A Review

Y Fassi, V Heiries, J Boutet… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Predictive maintenance for power electronic converters has emerged as a critical area of
research and development. With the rapid advancements in deep-learning techniques, new …

Overview of intelligent inverters and associated cybersecurity issues for a grid-connected solar photovoltaic system

SN Vodapally, MH Ali - Energies, 2023 - mdpi.com
The major problem associated with the grid-connected solar photovoltaic (PV) system is the
integration of the generated DC power into the AC grid and maintaining the stability of the …

Review of machine learning techniques for power electronics control and optimization

M Bahrami, Z Khashroum - arxiv preprint arxiv:2310.04699, 2023 - arxiv.org
In the rapidly advancing landscape of contemporary technology, power electronics assume
a pivotal role across diverse applications, ranging from renewable energy systems to electric …

ResFaultyMan: An intelligent fault detection predictive model in power electronics systems using unsupervised learning isolation forest

A Safari, M Sabahi, A Oshnoei - Heliyon, 2024 - cell.com
Intelligent fault detection considered as a paramount importance in Power Electronics
Systems (PELS) to ensure operational reliability along with rising complexities and critical …

Application of data‐driven methods in power systems analysis and control

O Bertozzi, HR Chamorro… - IET Energy Systems …, 2024 - Wiley Online Library
The increasing integration of variable renewable energy resources through power
electronics has brought about substantial changes in the structure and dynamics of modern …

Smart Grid Sensor Monitoring Based on Deep Learning Technique with Control System Management in Fault Detection

A Awasthi, TR Mahesh, R Joshi… - International …, 2022 - search.proquest.com
The smart grid environment comprises of the sensor for monitoring the environment for
effective power supply, utilization and establishment of communication. However, the …