A new α algorithm based on Lagrange linear interpolating power prediction for photovoltaic systems

Abstract

This paper proposes a new α algorithm based on Lagrange linear interpolating power prediction. This algorithm ameliorates the conventional power prediction perturbation and observation method, thus enhances system accuracy and reduces errors. Meanwhile, it also has relatively faster transient tracking speed and smaller oscillation than the traditional method. By iteratively tracking the intermediate variable α, the algorithm operating point is close to the factual maximum power point, which can shorten the tracking time. Furthermore, when the external environment changes, Lagrange linear interpolating power prediction method can avoid misjudgments effectively. The algorithm has been verified using Matlab/Simulink software and through experimentation.