A new MPPT mechanism based on multi-verse optimization algorithm tuned FLC for photovoltaic systems

Tracking the Maximum Power Point (MPP) in solar Photovoltaic (PV) systems is a difficult task under changing environmental weather conditions. Furthermore, the tracking method gets more complex under changing irradiance conditions because of the nonlinearity in power voltage characteristics. The Maximum Power Point Tracking Technique (MPPT) under changeable irradiance and temperature-varying conditions is presented in this study. Using a swarm algorithm known as Multi-Verse Optimization (MVO), this technique combines a Fuzzy Logic Controller (FLC). In this work, the MVO algorithm is used to generate the optimized scaling factors of FLC to track the accurate MPP. A MATLAB/Simulink environment is used to model the PV system and the proposed MPPT method. The simulated system was assessed under uniform, abruptly changing, ramp with abruptly changing irradiance and temperature variation circumstances. The results demonstrate that the proposed approach is efficient in tracking the MPP and has a quick response time when compared to FLC-based MPPT and conventional P&O.