Kalman filter-based maximum power point tracking for PV energy resources supplying DC microgrid

Abstract

The variable output from a PV array needs to be maximized with a MPPT algorithm. Numerous algorithms exist but have some difficulties when faced with rapid changes in environmental conditions that affect the PV output. In this paper a novel algorithm using a Kalman Filter is developed. Matlab simulations show that the algorithm is capable of tracking the PV output for maximizing the power. Comparison with the traditional Perturb and Observe (P&O) MPPT method show the superior performance of the KF algorithm.