Fuzzy Sliding Mode Control of the Photovoltaic System Connected to the Network

To maximize the conversion efficiency of photovoltaic power systems, it is necessary to design a controller to track the maximum power points used to extract maximum power from photovoltaic systems. In this paper, a maximum power point tracking MPPT strategy based on fuzzy sliding mode control FSMC connected to the photovoltaic system interconnected to the grid has been applied. The main concept of the proposed method is to combine the sliding mode control SMC and the performance of fuzzy logic control FLC to increase the power generated for a certain set of weather conditions. The system consists of a photoelectric generator followed by a DC/DC converter and DC/AC inverter. The main development of the proposed technique is to combine the advantages of FLC and SMC in an algorithm that directly controls a DC/DC converter to track the maximum power point and control it well. The MPPT methods considered in this study include perturbing and observing algorithm P&O, fuzzy logic control FLC, sliding mode control SMC, and fuzzy-sliding mode control FSMC. The photoelectric model, DC/DC, and DC/AC power adapter are designed under Matlab/Simulink environment. The simulation results confirm the effectiveness of the proposed method and prove that it can work reliably under various conditions.