Intelligent Fractional Control Design of MPPT for a Standalone PV System Based on Optimization Technique

The solar energy as a source of renewable energy plays an essential role in supplying different applications in different places. Additionally, it is considered as a green and clean energy. The main challenge in the solar energy technology is to achieve the Maximum Power Point Tracking (MPPT) from PV system. The MPPT should be taken into account in photovoltaic (PV) systems to increase the PV array output power, consequently maximizes the efficiency of the extracted power from PV system. As a result, this paper introduces the design techniques for obtaining MPPT for a standalone PV system. The suggested approaches in this article are Proportional Integral Derivative (PID) controller, Proportional Integral (PI) controllers, Fractional Order PID controllers and Fractional Order PI controllers. The proposed techniques are adjusted by Modified Adaptive Accelerated Coefficient Particle Swarm Optimization (MAACPSO). The study of PV simulation was built using package of SIMULINK/ MATLAB to compare the most efficient of the suggested MPPT techniques. To evaluate the performance of the suggested MPPT methods, there are two case studies depending on weather condition such as variation in irradiation and temperature has been applied for the simulation system model. After deep study, the simulation results of FOPI controller presents a distinct performance results in terms of output power, efficiency, settling time, and percentage overshoot in compared with others used methods. Therefore, the most important concern goes to use the FOPI controllers for the MPPT problem.