大型風(fēng)電機(jī)組功率優(yōu)化控制研究
[Abstract]:The energy shortage in the world is becoming more and more serious, and accelerating the development of renewable energy is the only way to solve the problem of energy shortage and environmental pollution in the world. Therefore, wind power generation has received more extensive attention and use. For the development of wind power technology and wind energy utilization, more scholars have carried out a lot of related research. The main purpose of this paper is to realize the power optimization control of large wind turbine under rated wind speed. The implementation of improved mountain climbing algorithm and simplified fuzzy PID controller are used to realize maximum wind energy capture and power optimization control of wind turbine at rated wind speed. Mainly include the following aspects of content. Firstly, every part of wind turbine model, including wind speed model, wind turbine aerodynamic model, transmission chain model, generator model and so on, is established. Based on this model, a suitable maximum wind energy tracking algorithm is selected to realize the maximum power tracking of wind turbines. When the optimal power and rotational speed of wind turbine are obtained by mountain climbing algorithm, in order to avoid affecting the normal operation of wind turbine unit in case of large disturbance, the corresponding fuzzy controller is used to control and track the speed of wind turbine unit. Further optimize power. Secondly, because of the nonlinear characteristics of wind turbine, considering the fact that fuzzy controller does not need accurate mathematical model and its input and output rules are tedious and that PID control has better robustness and stability, a simplified fuzzy PID controller is adopted. The indirect control of wind turbine speed and the optimal control of wind turbine power under rated wind speed are realized. Finally, the dynamic model of wind turbine is studied by MATLAB/Simulink, and the control algorithm and controller are studied and verified by simulation. From the simulation results, it can be seen that the improved mountain climbing algorithm and simplified fuzzy PID control can quickly and accurately track the maximum wind energy at rated wind speed for the variable speed wind turbine system, and at the same time ensure that the wind turbine can run stably and realize power optimization.
【學(xué)位授予單位】:沈陽(yáng)工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:TM315
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