Gorilla troops optimization-based MPPT for augmented performance of photovoltaic systems

Gorilla Troops Optimization (GTO) technique and Fractional Order Proportional-Integral-Derivative (FOPID) controller are used in this paper to increase the performance of the photovoltaic system under critical disturbances and shading situations. If solar irradiation is uniform, conventional MPPT techniques have been used to monitor the maximum power point (MPP). They have failed to track the true MPP within dynamic climatic conditions. As a result, the disadvantage of traditional MPPT methods such as incremental conductance (INC) and perturb and observe (P&O) are higher oscillation and ripple due to fixed small step size. In this article, the GTO is used to adjust the parameters of the FOPID to quickly achieve the maximum power point (MPP)with no overshoot and oscillation and eliminate the drawbacks of conventional MPPT methods. To simulate LR5-72HPH-535M PV modules, MATLAB/Simulink(R2021a) was used. The performance of the proposed FGTO controller is compared to that of the single structure (PID)controller based on GTO and other techniques, such as P&O and the IC, the performance of these methods is tested for different test signals (square, sine, linear, and STC) as irradiance and temperature. In all cases the output obtained using the FGTO controller tracks the input signal faster than the other methods. The simulation results and analysis show that the GTO-based fractional MPPT has a strong ability to achieve good results, rapid convergence, and system stability under various climatic conditions. The efficiency of the proposed MPPT was up to 99.42%.