Integrated perturbation and global peak tracking MPPT approach with pattern detection for PV module

This manuscript proposes an enhanced maximum power point tracking (MPPT) methodology capable of efficiently tracking maximum power under uniform and mismatching conditions (UC and MC). This proposed methodology detects a change in the shading pattern by comparing the present and previous values of power. A perturbation-based MPPT algorithm is utilized to track the nearest peak. A novel shade detection technique based on voltage of the bypass diode is proposed in this manuscript to identify the type of shading pattern i.e., UC or MC. If the UC is detected, the tracked power using perturbation-based MPPT is the maximum power. If the MC is detected, a voltage and current control-based global peak tracking is employed to track the global peak (GP). A major advantage of the proposed methodology is its ability to avoid false triggering of the global peak tracking algorithm during uniform irradiance conditions. The proposed methodology is simulated in MATLAB-Simulink and is compared with a conventional perturb and observe algorithm and a recently proposed global peak tracking algorithm. The proposed MPPT method achieves a tracking efficiency greater than 99.8%, with convergence times typically below 1s, outperforming conventional and existing methods. The results are further validated using a real-time simulator.