A Finite Control Set Model Predictive Control Algorithm for PV Maximum Power Point Tracking

Abstract

This paper presents a finite set model predictive control (FCS-MPC) method combined with the conductivity increment method (INC), in order to realize the maximum power tracking (MPPT) for photovoltaic (PV) system. The control algorithm utilizes INC to obtain the reference current and calculates the optimal cost function through Model Predictive Control (MPC) controller. The output of the MPC controller is the duty cycle for a switching DC/DC power converter to achieve MPPT. Compared with the traditional INC algorithm, the proposed MPPT algorithm can effectively track the maximum power point and has the advantages of fast-tracking speed and small overshoot. The presented FCS-MPC algorithm is discussed all through the paper and its performance is verified by Matlab/ Simulink software simulation.