MPPT Based Model Predictive Control of Grid Connected Inverter for PV Systems

This paper presents a Maximum Power Point Tracking(MPPT) based Model Predictive Control (MPC) approach to obtain high accuracy and fast dynamic response. The tracking capability of the base algorithm is improved by the combination of two-methods. The proposed control approach tested on a three-phase grid-connected inverter that fed by PV panel group. Switching signals of the inverter are generated by the MPC algorithm. Reference current of the MPC algorithm determined by Perturb and Observe MPPT method. Thus, power flow is controlled by the MPC algorithm based on MPPT. Power flow, MPPT efficiency and THD analyzes are examined in a simulation that performed by using MATLAB/Simulink environment. Especially, the effectiveness of the proposed approach has been tested under varying irradiation and cloudy conditions. Besides the MPPT analyzes, current tracking capability of the MPC algorithm is examined under dynamic transition conditions. Results show that, MPPT efficiency of the proposed control approach is 98%.