Dr. Ibrahim Imbayah Khalefah Imbayah
Abstract: This paper introduces a fuzzy logic-based controller model for the integration of the photovoltaic system into the utility grid. Recently, the photovoltaic (PV) generation is growing fast as an effective and cheap energy source. In any PV based system, the inverter is an essential part, which can regulate the current flow between the grid and DC. However, the problem of the integration of PV is that it relies on weather conditions. Therefore, there is a necessity for developing control techniques for the grid integration PV system including a method for voltage and current control that stabilizes the voltage and current at the inverter input to guarantee a continuous flow of energy among the grid and the PV system. This paper presents control and simulation for the integration of the PV system into a grid using MATLAB/Simulink. The PV integration is connected to the boost DC/DC converter and the controller system is based on the maximum power point tracking (MPPT) with a fuzzy logic based controller that helps PV to ensure the maximum power in case of fluctuation in the weather, and then integrated into the AC utility grid by DC/AC inverter. The system stability tests for different weather conditions in the PV system. This paper advocate that the proposed fuzzy logic controller gives a good performance over regular control methods.
Keywords: PV system, Fuzzy logic controller FLC, Boost converter DC/DC, Maximum power point tracking MPPT