【作者】 王文静；

【导师】 姚兴佳；

【作者基本信息】 沈阳工业大学 ， 电工理论与新技术， 2012， 硕士

【摘要】 随着科学技术的迅速发展,能源消耗不断增长、环境污染也越来越严重,人们不得不考虑新能源和可再生能源的开发和利用问题。而在众多的可再生能源中,风能以其突出的优点而倍受世界的关注。在风力发电系统中,变速恒频双馈风力发电技术由于其低成本、高效率等特点成为当今风力发电技术中的主流。本文针对双馈风力发电机组的功率解耦控制问题进行了研究。首先介绍了国内外风电的发展状况、功率解耦控制的研究现状;从双馈风力发电机组的基本原理入手,给出风速、风力机和在不同坐标系下双馈风力发电机的数学模型,对双馈风力发电机的稳态运行进行了分析。其次,研究了基于定子磁链定向矢量控制的功率解耦控制系统,得到解耦控制系统的数学模型,在此基础上,建立了双馈风力发电机的双闭环控制模型。再次,针对双馈风力发电机矢量控制中功率外环的传统PI调节器的参数自动调节能力差,跟随性能差等缺点,本文将神经网络与PI调节器相结合,设计出BP神经网络PI控制器,对BP神经网络PI控制器进行性能仿真,仿真结果表明BP神经网络PI控制器具有较好的动态性能。在MATLAB软件中建立基于BP神经网络PI控制器的双馈风力发电系统的功率解耦控制系统的仿真模型,并且针对该控制系统,在不同的风速下进行系统仿真,仿真结果表明,该控制系统不仅实现了双馈风力发电系统有功功率和无功功率的完全解耦,而且在风速变化时,双馈风力发电机组的输出功率跟踪效果较好,系统性能稳定,证明了控制系统具有良好的动态性能。更多还原

【Abstract】 With the rapid technological development, energy consumption is growing and the environmental pollution is more and more serious, so that people have to consider new energy and renewable energy development and utilization. In a number of renewable energy sources, with its outstanding advantages wind energy get much world’s attention. In wind power generation system, VSCF doubly-fed wind power generation technology has become today’s mainstream because of its low cost, high efficiency characteristics. In this paper, decoupling control of double-fed wind power generator is studied.Firstly, the development of wind power at home and abroad and power decoupling control Research are introduced; starting from the basic principles, the mathematical models of wind speed, wind turbine and the double-fed wind power generator in different coordinate system are bulit, and steady-state operation of it is analyzed. Secondly, the power decoupling control based on the stator flux oriented vector control is studied, and a mathematical model of decoupled control system is given; on this basis, the double-loop control model is built. Again, aiming to the traditional PI regulators of power outer loop being poor self-regulation capacity and following poor performance shortcomings, a BP neural network PI controller which is the combination of neural network and the PI regulator is designed. For the BP neural network PI controller performance simulation, simulation results show that the BP neural network PI controller has better dynamic performance.Power decoupling control system based on BP neural network PI controller is created in the MATLAB software. System simulation is taken at different wind speeds, and simulation results show that the control system not only achieves the completely decoupled of power for double-fed wind power generation system, but also the control system output power has better tracking performance, system performance and stability under the changes in wind speed,and it has good dynamic performance.更多还原