Maximum Power Point Tracking in a Photovoltaic System by Optimized Fractional Nonlinear Controller

Increasing global warming due to using fossil fuels and non-renewable energy for power generation has become one of the most critical problems of this century. Solar cells are one of the foremost promising electrical vitality sources, but their efficiency is limited due to different environmental conditions. For making strides productivity, the maximum power point tracking (MPPT) strategy is utilized to extricate the most power of the photovoltaic system (PV). To realize the MPP of the solar cell, a novel ant colony optimization-based fractional-order back-stepping sliding mode controller (FOBSMC) is proposed in this study. The proposed controller uses the P&O strategy to control the PV voltage to reach the MPP of PV systems. Finally, the efficiency of the suggested strategy is compared with that of a traditional back-stepping sliding mode controller.