Double-fed Induction Wind Power Generation System Based On STM32Research

Development and use of wind energy systems in the world is the new R&D focus and hot,wind turbine is a wind energy capture device, He is an important source of energy for the entire system, wind energy "hunt" effect directly affects the efficiency of the entire system. And after capture wind energy through the motor is converted into electrical energy for human use, Therefore, the choice of the motor is also essential. Now wind systems mostly use DFIG for energy conversion, Depending on the wind speed DFIG to adjust their side of the three-phase electrical rotor frequency, amplitude and phase, will greatly enhance its efficiency in the use of wind energy, and active and reactive power can be adjusted,and improve the quality of electricity fed into the grid,and reducing the impact on the grid.By studying the fan system, for maximum wind energy tracking system to study, and depending on the wind speed,depending on the wind speed wind turbine could be adjusted accordingly, For off-grid systems and grid controls were studied, After which the control grid has speed control and power conditioning control modes. And a mathematical model of DFIG,through mathematical deduction, The mathematical model can be simplified by controlling the final rotor current, For generators active and reactive power regulation.No position sensor location detection technology is the future trend of development, this paper to estimate the position of the motor stator and rotor by the instantaneous value of current and voltage.Based on MATLAB/Simulink the wind turbine is modeled, and the maximum wind energy tracking system modeling and simulation, And doubly-fed machine and network load operation carried out before the modeling and simulation, and closed-loop control of speed and power after the closed-loop control network simulation. The proposed position and observation by current and voltage, Observations on the location of the motor simulation. And space vector control modeling and simulation. Finally, the establishment of an experimental platform, STM32F103RB TI’s chips as the core controller, DFIG by a DC motor drag, dual power converter by the motor to achieve VSCF control.