Accurate Dynamic Modeling for Monitoring of a Grid-Connected PV System Under LabVIEW

Efficient and reliable monitoring system for a photovoltaic (PV) installation is crucial to keep the produced energy at the desired specifications. In this paper, we propose dynamic modeling of a 9.54 kWp Grid-Connected PV System (GCPVS) under LabVIEW environment. The first part of this work is the behavioral simulation of the PV array and the inverter using accurate parametric performance models. This simulation is used to estimate the electricity production of GCPVS in safe operation. Model parameter estimation was identified using MATLAB curve fitting toolbox. These models were well calibrated with experimental data. The simulation results from the parametric models fit very well with measured data, and the Sandia models present the most satisfying agreement. The second part is integrating the Sandia models into LabVIEW software. A monitoring user interface was designed to identify any difference between measured and simulated data. The detection of such difference allows the identification of numerous faults affecting the PV system reliability and safety. The modeling interface designed in LabVIEW is extensible to integrate multiple performance models and analyze data using artificial intelligence techniques.