An improved standalone photovoltaic system with hybrid dual integral sliding mode and model predictive control for MPPT

Abstract

In this research paper, a double diode model-based photovoltaic (PV) system with a proposed hybrid dual integral sliding mode control (DISMC) and model predictive control (MPC) based maximum power point tracker (MPPT) has been started for a standalone power system. Compared with the single diode model, the advanced model dual diode provides accurate maximum power point (MPP) estimation with high velocity and more searching efficiency. It also delivers the extrapolation of current-voltage characteristics of the photovoltaic system under any weather situation. Compared to classical sliding mode control (SMC) and dual integral sliding mode controller (DISMC) based MPPT, the proposed hybrid dual integral sliding mode controller (DISMC) and model predictive control (MPC) MPPT provide high, robust behavior with minimized steady-state error. A high gain multilevel boost converter is employed, which provides an output voltage directly proportional to the level number. Moreover, the predictive model controller extracts peak power from the PV module by predicting errors in further sampling periods and switching pulses. The proposed hybrid MPPT method provides a fixed switching frequency of a high gain multilevel boost converter under varying environmental and loading conditions. Practical responses justify the capability of advanced MPPT control using the dSPACEDS1104 platform.