Fault Detection in Photovoltaic Panels Using Digital Twin Technology: A Comprehensive Study

Abstract

This paper presents a thorough investigation into the implementation of Digital Twin technology for the fault detection of Photovoltaic (PV) panels. With the increasing deployment of PV systems worldwide, it is crucial to ensure their reliable performance and early detection of faults. Digital Twin technology offers a promising approach to replicate and simulate the behavior of physical PV panels in real-time, enabling accurate fault detection and predictive maintenance. The paper explores the principles of Digital Twin, its application in the context of PV panels, and the development of an efficient fault detection framework. The proposed methodology is validated using real-world data and compared with traditional fault detection techniques, showcasing the potential of Digital Twin technology in improving the reliability and performance of PV systems.