隨機(jī)參數(shù)激勵下的風(fēng)力發(fā)電及轉(zhuǎn)子系統(tǒng)穩(wěn)定性與Hopf分岔分析
[Abstract]:The importance of electric energy to human society is self-evident, which supports the age of electrification and network information. However, with the wanton exploitation of fossil fuels and coal energy, the traditional energy is gradually consumed, and the environmental pollution caused by the use of traditional energy and Greenhouse Effect are far more serious than the crisis of lack of energy. Therefore, in the future development plan, the development of new renewable energy is the most important strategic direction of all countries in the world. The new renewable energy sources are wind energy, solar energy, light energy and so on, among which, the development and application of wind energy is the most extensive, and its related technologies are becoming more and more mature. Wind power generation groups can be seen everywhere in our country. Relying on the special climate environment in some areas, the development of wind power generation is very rapid. However, at present, wind power is not the main source of power output in our country, and it is still unable to get rid of its dependence on traditional energy. The reason is that the development technology of wind power project needs to be further improved, for example, How to ensure the stable power output of wind power generation, how to reduce the cost in the construction process of wind power generation project, and so on. In order to make the wind power generation system have stable power output, we should consider the uncertainty and randomness of natural wind. In this paper, the main equipment wind turbine for wind energy utilization is studied. Because of the complex connection structure of rotor system, the heterogeneity of its own material, and the influence of random wind force, it will lead to the uncertainty of rotor system. Based on the theory of nonlinear stochastic dynamic system, the dynamic behavior of wind power rotor system is studied in detail. The main contents are as follows: 1. The research trends of wind power generation system and the research background of high speed rotor-bearing system at home and abroad are described in detail, and the research purpose of this paper is summarized. Then the basic theory, concrete concept and main content of nonlinear stochastic dynamics are described. The stability and Hopf bifurcation of a wind power generation system with random wind disturbance are studied. The internal factors and external random wind influence of the system are replaced by Gaussian white noise. By using the principle of random average, the quasi-Hamilton system is converged to a one-dimensional Ito random diffusion process, and then the maximum Lyapunov index method is used to judge the local stability of the system, and the conditions for the local stability of the system are obtained. Then the Hopf bifurcation of the system is simulated by the solution of the FPK equation, that is, the stationary probability density. The stability and Hopf bifurcation of a high speed rotor-bearing system with random parameter excitation are studied. by using the theory of stochastic nonlinear dynamic quasi-inintegrable Hamilton system, the system converges asymptotically to a one-dimensional Ito differential equation. After analyzing the local stability by using the maximum Leonov index, the conditions for ensuring the global stability of the system are obtained by using the singular boundary theory of Ito stochastic differential equations, and the stationary probability density function and the joint probability density function are used to guarantee the global stability of the system. The process from stability to Hopf bifurcation is simulated. 4. The random stability and Hopf bifurcation of a four-dimensional rotor-system are studied. for the four-dimensional stochastic nonlinear system, the quasi-inintegrable Hamilton system theory can also be used to analyze the four-dimensional system, and the four-dimensional system can be analyzed by using the stochastic average principle. According to probability 1, it converges weakly to a one-dimensional random diffusion process. However, in order to avoid calculating multiple integral, polar coordinate transformation is introduced to obtain Ito stochastic differential equation when calculating drift diffusion index. Then the local stability and global stability are analyzed, and the Hopf bifurcation of the system is simulated.
【學(xué)位授予單位】:蘭州交通大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:O175;TM614
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