Hybrid Approach for Tracking Global MPP Using Modified P&O Algorithm
摘要
The remarkable characteristics of photovoltaic technology, with its cleanliness and abundant availability, make it a prominent choice among other sources of renewable energy. In order to fully harness their advantages, an effective maximum power point tracking algorithm must be employed to ensure consistent output, even under changing environmental conditions. Several metaheuristic algorithms have been put forward which possess higher computational complexity while conventional algorithms possess simpler computation but are incompetent in tracking MPP under non uniform shading conditions. Therefore, this study aims to propose a global MPPT algorithm integrating conventional P&O algorithm and a closed loop PI controller with volt-seconds and amp-seconds balanced converter that supports in efficient chasing even under non uniform shading conditions. Potential of this simulated PV system is examined in terms of convergence speed, oscillations and tracking efficiency using MATLAB–Simulink with nature based FPA algorithm even under non uniform solar irradiations. Proposed system possesses settling time of 0.17 s while FPA takes around 1.6 s. The proposed system exhibits great results in terms of complexity of computation, convergence speed and reduced oscillations in comparison with nature based FPA algorithms even under non uniform solar irradiations.