本文選題：Savonius型風(fēng)力機(jī) + 垂直軸風(fēng)力機(jī)��； 參考：《河南科技大學(xué)》2014年碩士論文

【摘要】：風(fēng)能以清潔、成本較低、取之不盡等優(yōu)點(diǎn)成為近10年以來全世界增長(zhǎng)最快的能源之一，而風(fēng)力發(fā)電作為最有產(chǎn)業(yè)化發(fā)展?jié)摿Φ那鍧嵞茉矗呀?jīng)成為全球能源結(jié)構(gòu)中的重要組成部分。但是，風(fēng)能的能量密度低且具有隨機(jī)性、不穩(wěn)定性和分布不均勻等特性，給風(fēng)能的利用帶來了許多問題。因此，研究MPPT（Maximum Power Point Tracking）算法，提高風(fēng)力發(fā)電系統(tǒng)的風(fēng)能轉(zhuǎn)換率就顯得尤為重要。 為更加準(zhǔn)確的實(shí)現(xiàn)MPPT算法和最大化的得到電能，本文主要從兩個(gè)方面進(jìn)行分析和實(shí)現(xiàn)。首先對(duì)常用的垂直軸風(fēng)力機(jī)進(jìn)行數(shù)據(jù)（風(fēng)速、扭矩、轉(zhuǎn)速、功率等）采樣，如Savonius型風(fēng)力機(jī)、三戟型風(fēng)力機(jī)等，并根據(jù)這些數(shù)據(jù)計(jì)算出各種工況下對(duì)應(yīng)的最大功率；然后根據(jù)計(jì)算出的數(shù)據(jù)用C#語言在Visio Studio2010中編程來離線實(shí)現(xiàn)MPPT算法。得出的結(jié)論主要有: 1前期數(shù)據(jù)采集工作對(duì)MPPT算法的影響較大，這些數(shù)據(jù)直接影響到算法最后輸出的最大功率和轉(zhuǎn)換效率。 2實(shí)驗(yàn)結(jié)果說明在一定的風(fēng)速下，最大功率處總有一個(gè)最佳轉(zhuǎn)速與之相對(duì)應(yīng)，捕捉或者計(jì)算出這個(gè)最佳轉(zhuǎn)速-功率點(diǎn)就可以使風(fēng)能最大化的轉(zhuǎn)化為電能。 3MPPT算法最后輸出的結(jié)果與試驗(yàn)結(jié)果保持一致。 由于MPPT算法使用的是Savonius型風(fēng)力機(jī)的數(shù)據(jù)，所以本文MPPT算法中的運(yùn)行結(jié)果皆以此類型風(fēng)力機(jī)為例來進(jìn)行說明。盡管Savonius型風(fēng)力機(jī)屬于傳統(tǒng)的垂直軸風(fēng)力機(jī)，只要事先完成相應(yīng)垂直軸風(fēng)力機(jī)的數(shù)據(jù)采集，，本文的MPPT算法也可推廣到其它類型的垂直軸風(fēng)力機(jī)。
[Abstract]:Wind energy has become one of the fastest growing energy sources in the world in recent 10 years with the advantages of clean, low cost and inexhaustible, and wind power generation is the most potential clean energy with industrial development. Has become an important part of the global energy structure. However, the energy density of wind energy is low and has the characteristics of randomness, instability and uneven distribution, which brings a lot of problems to the utilization of wind energy. Therefore, it is very important to study MPPT (maximum Power Point tracking) algorithm to improve the wind power conversion rate of wind power system. In order to realize MPPT algorithm more accurately and maximize the electric energy, this paper mainly analyzes and implements the MPPT algorithm from two aspects. Firstly, the data (wind speed, torque, speed, power, etc.) of the vertical axis wind turbine are sampled, such as Savonius wind turbine, Trident wind turbine and so on, and the corresponding maximum power is calculated according to these data. Then, based on the calculated data, the MPPT algorithm is implemented offline by programming in Visio Studio 2010 with C # language. The main conclusions are as follows: (1) the early data acquisition has a great influence on MPPT algorithm, which directly affects the maximum output power and conversion efficiency of the algorithm. 2 the experimental results show that under certain wind speed, There is always an optimal rotational speed corresponding to it at the maximum power level, and the maximum conversion of wind energy to electric energy can be achieved by capturing or calculating the optimal rotational speed and power point. The final output of the 3MPPT algorithm is consistent with the experimental results. Since the MPPT algorithm uses the data of Savonius wind turbine, the running results of MPPT algorithm are illustrated by examples of this type of wind turbine. Although Savonius wind turbine belongs to the traditional vertical axis wind turbine, the MPPT algorithm in this paper can be extended to other vertical axis wind turbines as long as the data collection of the corresponding vertical axis wind turbine is completed in advance.
【學(xué)位授予單位】：河南科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM614

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