【摘要】：世界能源短缺越來越嚴(yán)重,加快開發(fā)可再生能源已是世界解決能源短缺和環(huán)境污染問題的必經(jīng)之路,因此風(fēng)力發(fā)電受到更廣泛的關(guān)注和使用,對于風(fēng)電技術(shù)的發(fā)展及風(fēng)能利用率的研究,更多的學(xué)者展開了大量的相關(guān)研究。本文研究的主要目的是在額定風(fēng)速下實現(xiàn)對大型風(fēng)電機組的功率優(yōu)化控制,通過對其模型的建立,改進(jìn)爬山算法的實現(xiàn)及簡化模糊PID控制器的制定來實現(xiàn)額定風(fēng)速下最大風(fēng)能捕獲以及對風(fēng)電機組的功率優(yōu)化控制。主要包括以下幾方面內(nèi)容。首先,建立風(fēng)電機組各個部分模型,包括風(fēng)速模型、風(fēng)輪氣動模型、傳動鏈模型、發(fā)電機模型等環(huán)節(jié),最終組建成整體的風(fēng)電機組模型�；谠撃Ｐ�,選取合適的最大風(fēng)能追蹤算法實現(xiàn)對風(fēng)電機組的最大功率追蹤。當(dāng)通過爬山算法獲取風(fēng)電機組最優(yōu)功率和轉(zhuǎn)速時,為了避免在出現(xiàn)大的干擾時影響風(fēng)電機組正常工作,采用相應(yīng)的模糊控制器對風(fēng)電機組的轉(zhuǎn)速進(jìn)行控制跟蹤,進(jìn)一步優(yōu)化功率。其次,由于風(fēng)電機組非線性的特性,考慮到模糊控制器無需精確的數(shù)學(xué)模型及其輸入輸出規(guī)則繁瑣的特點和PID控制有更好的魯棒性和穩(wěn)定性,采用一種簡化模糊PID控制器,實現(xiàn)對風(fēng)電機組轉(zhuǎn)速的間接控制,最終實現(xiàn)在額定風(fēng)速以下對風(fēng)電機組的功率優(yōu)化控制。最后,利用MATLAB/Simulink對風(fēng)電機組的動態(tài)模型、所給出的控制算法及控制器進(jìn)行研究,并進(jìn)行仿真驗證。從仿真結(jié)果可以看出,采用改進(jìn)爬山算法和簡化模糊PID控制對變速風(fēng)電機組系統(tǒng)可快速準(zhǔn)確地實現(xiàn)額定風(fēng)速下最大風(fēng)能追蹤,同時保證風(fēng)電機組能夠穩(wěn)定運行,實現(xiàn)功率優(yōu)化。
[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】：沈陽工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM315

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本文編號：2220874