A Power Prediction System for Photo-Voltaic Power Plants

In this paper, a frequency domain identification-based power prediction system is developed for the photovoltaic (PV) power plant. A first-order plus dead time (FOPDT) model of the PV power plant is first identified using the daily PV power plant operating data. Given the identified FOPDT model, we do discretization to obtain an FOPDT-based iterative calculation formula for the PV power prediction. Finally, a portable Power Prediction software of Python is developed using the resulting iterative calculation formula. In numerical experiments, we showcase the effectiveness of the Power Prediction software by applying it to real data.