The Research On Predictive Voltage Controlled Algorithm For A Novel Wind Power Converter Based On DSP

With the increasing severity of energy and environmental problems, renewable energy is competitively developed all over the world. Wind energy due to its clean and renewable character has developed rapidly in recent years and ranks as one of the most promising renewable energy resource. It is very important for the sustainable development of national economy. With issuing of renewable energy law,the industry of wind power generation has being developed fast.In the wind power system, the important section is inverter. It is demanded a wide scope of work to meet larger changes in voltage. Meanwhile, the conversion efficiency and stability of system are affected by inverter. Therefore, the inverter control strategy is especially important. This dissertation is a part of the project of the research on a novel integrated conversion system and controlled strategy for stand-alone wind turbine system which is national natural science foundation project. Due to the weakness of wind inverter, a novel topology of wind inverter is proposed and the control method of the inverter in the conversion system is studied.Considering the weakness of the traditional predictive control method, an improved predictive voltage control arithmetic based on dual-timer sampling scheme was proposed. Predictive voltage feedback PI controller with feedforward voltage compensator is adopted as the controlled method of the inverter system. Then, voltage vector is worked out by SVPWM technology for controlling inverter. The results of simulation show the feasibility of the controlled strategy. Finally, the paper introduces the software and the hardware of the control system of inverter on the DSP TMS320LF2407A. The experimental results prove the accuracy of the controlled algorithm.