Tracking of Maximum Power from Variable Speed Wind Using Fuzzy Controller Based on Permanent Magnet Synchronous Generator

Abstract

The interest in wind energy system is growing worldwide to reduce dependency on fossil fuel and to minimize the adverse impact of climate change. However, because of its unpredictable and random availability, wind power management concepts are essential to extract as much power as possible from the wind when it becomes available. The purpose of this thesis is to develop fuzzy logic controller to tune the parameters of PI controller for a maximum power tracking strategy of variable speed wind turbine. The system consists of direct drive permanent magnet synchronous generator (PMSG), uncontrolled rectifier which is used to convert the AC output voltage from the wind generation unit into DC voltage, a dc/dc switch-mode step up boost converter which is used to catch the maximum power from the wind, and a power control system. The output of the controller is given to the dc-dc converter to adjust the duty cycle and when adjusting the duty cycle the rotor speed of PMSG is controlled to get the maximum power. The proposed control algorithm allows the generator to track the optimal operation points of the wind turbine system under fluctuating wind conditions. This algorithm does not require the knowledge of intangible turbine mechanical characteristics such as its power coefficient curve, power characteristic or torque characteristic instead it uses rotor speed measurement as control variable inputs. MATLAB simulation study results confirm that the proposed controller algorithm is effective in tracking maximum power with good dynamic and steady state performance.