Digital Twin-Based Approach for Monitoring and Event Detection in PV Systems
Conference
Abdelrahman, MS, Hussein, HM, Kharchouf, I et al. (2024). Digital Twin-Based Approach for Monitoring and Event Detection in PV Systems
. 10.1109/EEEIC/ICPSEurope61470.2024.10751085
Abdelrahman, MS, Hussein, HM, Kharchouf, I et al. (2024). Digital Twin-Based Approach for Monitoring and Event Detection in PV Systems
. 10.1109/EEEIC/ICPSEurope61470.2024.10751085
In solar power generation, photovoltaic (PV) panels are used to convert solar radiation into electrical energy with the help of different assets. They are prone to a variety of defects as a result of the environment's continual change. These defects should be discovered and remedied as soon as possible so that the PV panels' efficiency and durability are not compromised. Therefore, regular monitoring and accurate diagnosis are challenging and critical for any PV plant for high-efficiency production and improved system performance. To deal with all these challenges, the Digital Twin (DT) technology as an integrated solution to detect and classify faults in the PV system arrays is proposed. The presented method is based on the calculation results of the array currents produced using the DT model and compared with the observed output collected from the physical PV system. In this study, the correlation coefficient R2 was used to evaluate the accuracy of the created twin model and detect different events in the PV arrays. In addition, the three-dimensional DT platform is created, which is composed of the real-time simulation of the physical PV system, the twin model, and the communication link between them. The proposed technique is tested and evaluated under several PV fault scenarios.
