本文選題：光伏發(fā)電 + 輸出特性�。� 參考：《太原理工大學(xué)》2014年碩士論文

【摘要】：太陽(yáng)能作為一種綠色清潔可替代能源,具有可再生、無污染等優(yōu)點(diǎn),近年來發(fā)展迅速,光伏發(fā)電作為太陽(yáng)能利用的主要形式,已經(jīng)成為研究的熱點(diǎn)。當(dāng)今有關(guān)光伏發(fā)電系統(tǒng)運(yùn)行的關(guān)鍵性技術(shù)已經(jīng)日漸成熟,但仍然存在成本高、效率低、經(jīng)濟(jì)性差等問題,嚴(yán)重制約其進(jìn)一步推廣與應(yīng)用。因此,如何進(jìn)一步提高光伏發(fā)電系統(tǒng)的效率,降低開發(fā)成本,已成為國(guó)內(nèi)外光伏領(lǐng)域?qū)＜业难芯恐攸c(diǎn)。 本文緊密圍繞提高光伏發(fā)電系統(tǒng)效率,對(duì)復(fù)雜光照條件下光伏陣列的輸出特性及最大功率點(diǎn)跟蹤(Maximum Power Point Tracking,MPPT)分別進(jìn)行研究。主要內(nèi)容如下： (1)介紹了光伏發(fā)電的基本原理,使用Matlab/Simulink搭建了光伏電池仿真模型,仿真分析了光伏電池輸出特性曲線。 (2)建立了對(duì)復(fù)雜光照條件下的光伏陣列模型并對(duì)其輸出特性進(jìn)行研究。首先,分析了光伏陣列的局部陰影問題；其次,將輸出電流和輸出電壓分別作為串、并聯(lián)式光伏陣列輸出特性理論分析的基準(zhǔn),進(jìn)一步推導(dǎo)得到兩種光伏陣列在復(fù)雜光照條件下的不同輸出特性方程,建立復(fù)雜光照條件下光伏陣列的輸出特性模型,得到輸出特性曲線；最后,分析了陰影情況下光伏陣列輸出曲線的特性以及局部極值點(diǎn)的位置情況,并對(duì)移動(dòng)云層及陣列結(jié)構(gòu)不同的光伏陣列的輸出特性曲線的變化規(guī)律進(jìn)行分析和研究,為光伏陣列的MPPT算法研究奠定了理論基礎(chǔ)。 (3)研究了最大功率點(diǎn)跟蹤技術(shù),主要包括傳統(tǒng)MPPT算法和復(fù)雜光照條件下MPPT算法。詳細(xì)介紹了MPPT算法原理,在Matlab/Simulink環(huán)境中搭建了實(shí)現(xiàn)MPPT算法的Boost電路。研究了三種傳統(tǒng)的MPPT控制方法及基于神經(jīng)網(wǎng)絡(luò)的多峰MPPT技術(shù)。采用神經(jīng)網(wǎng)絡(luò)原理來實(shí)現(xiàn)光伏系統(tǒng)的最大功率跟蹤控制,并進(jìn)行仿真,證明該方法的有效性；最后將輸出結(jié)果與傳統(tǒng)的最大功率跟蹤方法進(jìn)行了比較,證明該方法的優(yōu)越性。
[Abstract]:As a kind of green clean alternative energy, solar energy has the advantages of renewable and pollution-free. In recent years, photovoltaic power generation as the main form of solar energy utilization has become a hot spot. Nowadays, the key technology of photovoltaic power generation system is becoming more and more mature, but there are still some problems, such as high cost, low efficiency and poor economy, which seriously restrict its further promotion and application. Therefore, how to further improve the efficiency of photovoltaic power generation system, reduce the development costs, has become the focus of domestic and foreign experts in the field of photovoltaic research. In this paper, the output characteristics and maximum Power Point tracking (MPPT) of photovoltaic arrays under complex illumination conditions are studied in order to improve the efficiency of photovoltaic power generation systems. The main contents are as follows: (1) the basic principle of photovoltaic power generation is introduced, and the simulation model of photovoltaic cell is built by Matlab / Simulink. The output characteristic curve of photovoltaic cell is simulated and analyzed. (2) the photovoltaic array model under complex illumination is established and its output characteristics are studied. Firstly, the local shadow problem of photovoltaic array is analyzed. Secondly, the output current and output voltage are used as the reference for theoretical analysis of output characteristics of parallel photovoltaic array. Furthermore, the output characteristic equations of two photovoltaic arrays under complex illumination conditions are derived, and the output characteristic models of photovoltaic arrays under complex illumination conditions are established. Finally, the output characteristic curves are obtained. The characteristics of photovoltaic array output curve and the location of local extremum are analyzed, and the variation law of output characteristic curve of photovoltaic array with different moving clouds and array structure is analyzed and studied. It lays a theoretical foundation for the research of MPPT algorithm of photovoltaic array. (3) the maximum power point tracking technology is studied, including the traditional MPPT algorithm and MPPT algorithm under complex illumination conditions. The principle of MPPT algorithm is introduced in detail, and the boost circuit of MPPT algorithm is built in Matlab / Simulink environment. Three traditional MPPT control methods and multimodal MPPT technology based on neural network are studied. The principle of neural network is used to realize the maximum power tracking control of photovoltaic system, and the simulation is carried out to prove the effectiveness of the method. Finally, the output results are compared with the traditional maximum power tracking method, and the superiority of the method is proved.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM615

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