本文選題：爬山搜索算法 + 最佳葉尖速比法��； 參考：《沈陽工業(yè)大學(xué)》2017年碩士論文

【摘要】：風(fēng)能的開發(fā)利用已受到世界各國的高度重視,最大風(fēng)能捕獲問題是風(fēng)力發(fā)電系統(tǒng)中的關(guān)鍵問題之一。爬山法是實(shí)現(xiàn)最大風(fēng)能捕獲的常用方法,在實(shí)際應(yīng)用中存在初始轉(zhuǎn)速隨機(jī)選擇或經(jīng)驗(yàn)選擇、初始步長(zhǎng)與步長(zhǎng)變化靠經(jīng)驗(yàn)選取等問題。本文圍繞最大風(fēng)能捕獲問題,研究爬山法常見問題,改進(jìn)最大風(fēng)能捕獲點(diǎn)搜索方法,實(shí)現(xiàn)找到最大風(fēng)能捕獲點(diǎn)。首先,對(duì)風(fēng)力發(fā)電系統(tǒng)的特性進(jìn)行分析,根據(jù)直驅(qū)式風(fēng)力發(fā)電系統(tǒng)的原理及相關(guān)數(shù)學(xué)建模,采用Simulink仿真工具,建立了永磁風(fēng)力發(fā)電系統(tǒng)的仿真模型。其次,針對(duì)爬山法初始角速度選取不確定問題,引入最佳葉尖速比法,給出了最佳葉尖速比爬山法,將最佳葉尖速比法獲得的最佳角速度作為爬山法的起始角速度;在最佳葉尖速比法的基礎(chǔ)上,針對(duì)爬山法初始步長(zhǎng)選取問題,通過對(duì)使用最佳葉尖速比法得到的最佳角速度的誤差分析,提出了自適應(yīng)初始步長(zhǎng)爬山法;仿真結(jié)果表明提出的自適應(yīng)爬山法加快了搜索速度,改進(jìn)了搜索效果。進(jìn)一步通過對(duì)風(fēng)能利用系數(shù)曲線的分析,根據(jù)在接近最大風(fēng)能捕獲點(diǎn)范圍內(nèi)的爬山搜索后期的特點(diǎn),提出了自適應(yīng)變比例因子爬山法。仿真結(jié)果分析表明,所提出的方法使系統(tǒng)在最大風(fēng)能捕獲點(diǎn)的震蕩減小。最后,針對(duì)最佳葉尖速比法獲得的初始爬山角速度與最佳角速度間誤差較大問題,提出了模糊搜索算法,在最佳葉尖速比法的基礎(chǔ)上,利用模糊搜索獲取角速度誤差修正量,得到與最佳角速度誤差較小的爬山角速度初始值,此后利用第四章的改進(jìn)爬山法搜索得到最佳角速度;在模糊控制器的設(shè)計(jì)方面,以風(fēng)速以及風(fēng)能利用系數(shù)曲線斜率為輸入,由最佳葉尖速比法確定的爬山法初始加速度校正值為輸出。由根據(jù)數(shù)據(jù)分析確定了輸入輸出量論域,利用最佳葉尖速比法誤差大小與風(fēng)速的關(guān)系、風(fēng)能利用系數(shù)大小與最佳轉(zhuǎn)速點(diǎn)誤差的關(guān)系確定模糊規(guī)則;實(shí)驗(yàn)結(jié)果分析表明,所提方法進(jìn)一步加快搜索速度與減小最大風(fēng)能捕獲點(diǎn)處的震蕩。
[Abstract]:The development and utilization of wind energy has been attached great importance in the world, and the problem of maximum wind energy capture is one of the key problems in wind power generation system. Mountain climbing method is a commonly used method to realize maximum wind energy capture. In practical application there are some problems such as random or empirical selection of initial rotational speed and the change of initial step size and step size depending on experience selection and so on. This paper focuses on the problem of maximum wind energy capture, studies the common problems of mountain climbing method, improves the search method of maximum wind energy capture point, and realizes finding the maximum wind energy capture point. Firstly, the characteristics of wind power system are analyzed. According to the principle of direct-drive wind power system and related mathematical modeling, the simulation model of permanent magnet wind power generation system is established by using Simulink simulation tool. Secondly, aiming at the uncertainty of the initial angular velocity of mountain climbing method, the optimal tip speed ratio method is introduced, and the best angle velocity obtained by the best blade tip velocity ratio method is taken as the starting angle velocity of the mountain climbing method. On the basis of the optimal tip speed ratio method, an adaptive initial step climbing method is proposed by analyzing the error of the optimal angular velocity obtained by using the optimum tip speed ratio method, aiming at the selection of the initial step size of the mountain climbing method. The simulation results show that the proposed adaptive mountain climbing method accelerates the search speed and improves the search effect. Based on the analysis of wind energy utilization coefficient curve and the characteristics of mountain climbing near the maximum wind energy capture point, an adaptive variable scale factor climbing method is proposed. The simulation results show that the proposed method can reduce the oscillation at the maximum wind energy capture point. Finally, a fuzzy search algorithm is proposed to solve the problem that the error between the initial climbing speed and the optimal angular velocity obtained by the best blade tip speed ratio method. Based on the optimum blade tip velocity ratio method, the angle velocity error correction quantity is obtained by using the fuzzy search method. The initial value of the angular velocity of mountain climbing with small error of the optimal angular velocity is obtained, and the optimum angular velocity is obtained by using the improved climbing method in Chapter 4. In the design of the fuzzy controller, the slope of the wind speed and the wind energy utilization coefficient curve is taken as the input. The correction value of the initial acceleration of the mountain climbing method determined by the optimum blade tip velocity ratio method is output. According to the data analysis, the input-output range is determined. The fuzzy rules are determined by using the relationship between the error of the best tip speed ratio method and the wind speed, and the relationship between the wind energy utilization coefficient and the error of the best rotational speed point. The proposed method further speeds up the search speed and reduces the oscillation at the maximum wind energy capture point.
【學(xué)位授予單位】：沈陽工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM614

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