Fuzzy Logic Controller Based Energy Management (FLCBEM) for a Renewable Hybrid System

In recent days, the use of renewable energy like wind and solar energy is necessary to meet the load demand. It is useful for power generation due to their unlimited existence and environmental friendly nature. This paper deals with the energy management of wind and solar hybrid generation system. Photovoltaic (PV) array, wind turbine, and battery storage are connected via a common current source interface multiple-input DC-DC converter. The Fuzzy logic controller ensures the power management between intermittent renewable energy generation, energy storage, and grid. In order to obtain the maximum power, variable speed control is employed for the wind turbines, and maximum power point tracking (MPPT) algorithm is applied for the photovoltaic system. The grid interface inverter directs the energy drawn from the wind turbine and PV array into the grid by maintaining common dc voltage constant. Simulation analysis of the entire control scheme is carried out using MATLAB Simulink. The simulation results show the control performance and dynamic behavior of the fuzzy controlled photovoltaic/ wind hybrid system.