Multiple Open-Switch Fault Diagnosis for Three-Phase Four-Leg Inverter under Unbalanced Loads via Interval Sliding Mode Observer

S Xu, Y Zhang, Y Hu, Y Chai, H Wang… - … on Power Electronics, 2024 - ieeexplore.ieee.org
The three-phase four-leg inverter has garnered significant attention for its advantages in
addressing unbalanced loads and other factors. However, compared to traditional three …

Detection of Abnormal Operation of PV Inverters based on Regressive Prediction Models with Recursive Least Squares Training

P Moreno, G Laguna, J Cipriano… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The large-scale integration of photovoltaic (PV) power plants has launched the massive
deployment of PV inverters. In fact, just a single multi-megawatts (MWs) PV plant may have …

Detection of abnormal operation of PV inverters based on regressive prediction models with recursive least squares training

PA Moreno Kübel, G Laguna Benet… - IEEE Journal of …, 2024 - upcommons.upc.edu
The large scale integration of photovoltaic (PV) power plants has launched the massive
deployment of PV inverters. In fact, just a single multi-MW PV plant may have thousands of …

AI-Enhanced Inverter Fault and Anomaly Detection System for Distributed Energy Resources in Microgrids

SR Kasimalla, K Park, J Hong, YJ Kim… - arXiv preprint arXiv …, 2024 - arxiv.org
The integration of Distributed Energy Resources (DERs) into power distribution systems has
made microgrids foundational to grid modernization. These DERs, connected through power …

[PDF][PDF] Fault Diagnosis of Inverter Power Switches Using Signal-Data Based Machine Learning

CN IBEM - 2024 - researchonline.gcu.ac.uk
Abstract Voltage Source Inverters (VSIs) are pivotal in modern power electronic systems,
supporting applications such as adjustable speed drives, power conditioning, and …

Application of Machine Learning Algorithms for Enhanced Smart Grid Control and Management

HM Khounsari, A Fazeli - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
This paper presents an in-depth exploration of machine learning (ML) applications in smart
grids, focusing on six key areas: demand forecasting, energy management, microgrid …

[PDF][PDF] INTERNATIONAL JOURNAL OF INNOVATIVE STUDIES

AED MAKING - researchgate.net
This study explores the potential of artificial intelligence (AI) to enhance decision-making
processes and create value in Nigeria. The research examines the current landscape of AI …