本文關(guān)鍵詞： 分布式電源 微電網(wǎng) 諧波檢測 希爾伯特-黃變換　出處：《南京理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：微電網(wǎng)是一個新型電網(wǎng)結(jié)構(gòu),由分布式電源、負(fù)荷、儲能系統(tǒng)和控制裝置等組成。微電網(wǎng)技術(shù)充分發(fā)揮了分布式電源的優(yōu)勢,同時協(xié)調(diào)了分布式電源與大電網(wǎng)之間的矛盾。隨著對微電網(wǎng)的研究不斷深入,其電能質(zhì)量問題也受到越來越多的關(guān)注。諧波是衡量電能質(zhì)量的重要標(biāo)準(zhǔn),對微電網(wǎng)中的諧波進(jìn)行準(zhǔn)確的檢測和分析是研究諧波問題的首要任務(wù)。 微電網(wǎng)中的諧波具有隨機性、非平穩(wěn)性等特點,傳統(tǒng)諧波檢測方法在分析時均存在不同程度的局限。希爾伯特-黃變換法是一種自適應(yīng)的信號分析方法,被廣泛應(yīng)用于非線性、非平穩(wěn)信號的分析,它可以克服傳統(tǒng)檢測方法在處理非平穩(wěn)信號時的不足,但同時自身也存在包絡(luò)線擬合和模態(tài)混疊等問題。 論文對光伏發(fā)電系統(tǒng)和風(fēng)力發(fā)電系統(tǒng)進(jìn)行了分析和建模,以Matlab/Simulink為仿真平臺,搭建了適用于諧波檢測的微電網(wǎng)并網(wǎng)模型,奠定了諧波分析的基礎(chǔ)。 針對HHT方法本身的包絡(luò)線擬合問題,論文提出了改進(jìn)的包絡(luò)線擬合思路；針對HHT方法在諧波檢測中遇到的模態(tài)混疊現(xiàn)象,論文設(shè)計了用于濾去基波分量的數(shù)字高通濾波器。綜合分析兩種改進(jìn)思路,論文提出了HHT的改進(jìn)方法,仿真結(jié)果表明改進(jìn)的HHT方法可以取得良好的諧波檢測效果。利用Matlab GUI設(shè)計平臺,論文設(shè)計了基于改進(jìn)方法的諧波檢測平臺,實現(xiàn)了諧波信號繪制、諧波檢測和諧波瞬時參數(shù)計算等功能,提高了改進(jìn)方法的實用性。 論文應(yīng)用設(shè)計的諧波檢測平臺,對微電網(wǎng)中的光伏發(fā)電系統(tǒng)和風(fēng)力發(fā)電系統(tǒng)的并網(wǎng)電流進(jìn)行了諧波檢測分析,仿真結(jié)果驗證了改進(jìn)方法的準(zhǔn)確性；然后,運用改進(jìn)方法對不同情況下微電網(wǎng)的并網(wǎng)公共點電流進(jìn)行了檢測與分析,仿真結(jié)果表明,改進(jìn)方法能夠準(zhǔn)確地檢測出微電網(wǎng)諧波信號中存在的各次諧波分量,而且對于非平穩(wěn)的諧波信號,改進(jìn)方法能夠體現(xiàn)諧波信號發(fā)生突變的時間點,檢測效果良好。
[Abstract]:Microgrid is a new type of power network structure, which is composed of distributed generation, load, energy storage system and control device, etc. Microgrid technology has brought the advantage of distributed generation into full play. At the same time, the contradiction between distributed generation and large power grid has been coordinated. With the further research on microgrid, more and more attention has been paid to the power quality problem. Harmonics is an important standard to measure power quality. Accurate detection and analysis of harmonics in microgrid is the primary task of harmonic research. The harmonic in microgrid has the characteristics of randomness and non-stationarity. The traditional harmonic detection method has some limitations in analysis. Hilbert-Huang transform is an adaptive signal analysis method. It is widely used in the analysis of nonlinear and non-stationary signals. It can overcome the shortcomings of traditional detection methods in processing non-stationary signals, but it also has some problems such as envelope fitting and modal aliasing. Based on the analysis and modeling of photovoltaic system and wind power system, a grid-connected model for harmonic detection of micro-grid is built based on Matlab/Simulink. It lays the foundation of harmonic analysis. Aiming at the envelope fitting problem of HHT method, an improved envelope fitting method is put forward in this paper. Aiming at the phenomenon of modal aliasing encountered in harmonic detection by HHT method, a digital high-pass filter for filtering fundamental wave components is designed in this paper. Two improved ideas are analyzed synthetically, and the improved method of HHT is put forward in this paper. Simulation results show that the improved HHT method can achieve good harmonic detection results. Using the Matlab GUI design platform, this paper designed the harmonic detection platform based on the improved method. The functions of harmonic signal rendering, harmonic detection and harmonic instantaneous parameter calculation are realized, and the practicability of the improved method is improved. In this paper, the harmonic detection and analysis of grid-connected current of photovoltaic system and wind power system in micro-grid are carried out by using the designed harmonic detection platform. The simulation results verify the accuracy of the improved method. Then, the improved method is used to detect and analyze the common point current of microgrid under different conditions, and the simulation results show that. The improved method can accurately detect the harmonic components in the harmonic signal of microgrid, and for the non-stationary harmonic signal, the improved method can reflect the time point of the harmonic signal mutation. The detection effect is good.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM711

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