AC/DC robust controller technique for reliable operation of photovoltaic-based microgrid using firefly algorithm and fuzzy logic
Ali Abdali, Kazem Mazlumi
Abstract
Abstract Photovoltaic is one of the renewable energies in generating electricity. The MPPT as effective technique can improve the performance of photovoltaic cells. Key problem in photovoltaic systems is that it does not achieve much power since the various weather conditions effects on photovoltaic power cells in working such as solar radiation or rainy and cloudy weather. Therefore, the MPPT in PV cells runs and leads to change during the day and seasons. On the other hand, providing an appropriate controller for the MPPT is too important. Here, main purpose is applying the robust controller, which is tuned by firefly algorithm to optimize MPPT in photovoltaic systems. The main reason to propose this method is some defects in previous controllers such as low stability, low battery lifetime, inability to combine AC/DC and low efficiency. The suggested model is performed by MATLAB/Simulink software. Finally, the FLFA model has higher efficiency and best dynamic response than other methods.