Novel algorithm of MPPT for PV array based on variable step Newton-Raphson method through model predictive control

Abstract

In this paper a new method of maximum power point tracking (MPPT) strategy based on Newton-Raphson algorithm is presented for photovoltaic (PV) power systems, which makes a high efficiency for PV power systems. In this approach variable step Newton-Raphson algorithm is applied to improve the dynamic response of PV array MPPT which is based on improved perturb and observe (IP&O) algorithm. Improved perturb and observe (IP&O) MPPT algorithm and model predictive control (MPC) are developed to control the output current of a boost converter in order to extract maximum solar power from the panel. MPPT tracker compels the system to operate at maximum power point through appropriate control of boost DC/DC converter. In the final stage a simple model predictive current control strategy is employed for two-level three-phase inverter to deliver power to a load. Descriptions of the proposed system along with detailed simulation results which verify its feasibility are given using MATLAB/Simulink software.