Modeling and simulation of novel dynamic control strategy for grid-connected photovoltaic systems under real outdoor weather conditions using Fuzzy-PI MPPT controller

This paper proposes the modeling and simulation of a novel dynamic control strategy for 2.4 kWp single-phase grid-connected photovoltaic systems under real outdoor weather conditions using an intelligent Fuzzy-PI MPPT controller. The PV array in the first case is fixed and tilted at a 32 degrees angle, whereas the PV array in the second is equipped with dual-axis sun tracking. The objective is to deliver the maximum power from the PV array and to improve the drawbacks of the classical MPPT control. The optimization is performed using a real-time daily profile of Ghardaia, Algeria (32.24 degrees N - 3.24 degrees W). The proposed MPPT controller (Fuzzy PI MPPT) is optimized under different climatic scenarios based on four selected typical days: the first two days in winter and the second two days in summer. An analysis of the performance and simulation of a photovoltaic conversion system associated with a solar tracker, comparing it from an energy point of view with a fixed photovoltaic converter, has been carried out in Matlab/Simulink software. The results show that grid-connected PV with dual solar tracking enhances the PV array output power efficiency by about 25% compared to a similar fixed PV system. The results show that higher injected power quality is achieved and the overall system has higher efficiency.