本文選題：電壓波動 + 閃變��； 參考：《長沙理工大學(xué)》2014年碩士論文

【摘要】：近年來,沖擊性負(fù)荷以及非線性負(fù)荷與日俱增,導(dǎo)致電力系統(tǒng)負(fù)荷變得更加復(fù)雜,使得電網(wǎng)電能質(zhì)量問題愈加嚴(yán)重。電壓波動與閃變是亟待解決的主要電能質(zhì)量問題之一。因此,采取相應(yīng)有效措施對電壓波動與閃變進(jìn)行檢測與研究,對推動閃變檢測裝置的開發(fā)與研制以及緩解電能質(zhì)量問題具有十分深遠(yuǎn)的意義。首先,闡述了電壓波動與閃變的基本概念、相關(guān)術(shù)語,了解電壓波動與閃變檢測技術(shù)的發(fā)展?fàn)顩r。在電壓波動與閃變信號包絡(luò)線提取方面,著重分析了幾種常用的檢波方法,重點對Hilbert變換法、Teager能量算子法、小波變換同步法以及平方檢測法進(jìn)行對比；在對提取出的信號包絡(luò)線進(jìn)行相關(guān)調(diào)制分量參數(shù)的估計方面,,重點比較了Pisarenko諧波分解法與擴(kuò)展Prony算法兩種常用的調(diào)制分量頻譜估計算法。論文重點研究Hilbert變換與擴(kuò)展Prony,并將Hilbert變換與擴(kuò)展Prony算法結(jié)合進(jìn)行電壓閃變包絡(luò)提取與分析,由于擴(kuò)展Prony算法易受噪聲影響,在分析非平穩(wěn)信號以及含噪信號時,其效果不夠理想,論文提出一種基于MM—Prony算法的電壓閃變檢測方法,該方法首先通過數(shù)學(xué)形態(tài)濾波器對信號進(jìn)行濾波處理,解決噪聲對提取閃變信號包絡(luò)造成干擾的問題,再利用Hilbert變換提取出閃變包絡(luò),并通過擴(kuò)展Prony算法對包絡(luò)進(jìn)行頻譜分析,最終得到調(diào)制分量的幅值、頻率等參數(shù)信息。通過算例分析,以上融合算法有效地提高了Prony算法在估計閃變信號各特征分量參數(shù)的準(zhǔn)確性,同時說明了該方法在電力系統(tǒng)電壓波動與閃變檢測分析中具有較好的工程實際意義。
[Abstract]:In recent years, the impact load and nonlinear load are increasing day by day, which makes the power system load become more complex and makes the power quality problem more serious. Voltage fluctuation and flicker are one of the main power quality problems to be solved. Therefore, it is of great significance to take effective measures to detect and study voltage fluctuation and flicker, to promote the development and development of flicker detection device and to alleviate the problem of power quality. Firstly, the basic concepts and terms of voltage fluctuation and flicker are introduced, and the development of voltage fluctuation and flicker detection technology is discussed. In the aspect of voltage fluctuation and flicker signal envelope extraction, several commonly used detection methods are emphatically analyzed. The comparison of Hilbert transform method with Teager energy operator method, wavelet transform synchronization method and square detection method is emphasized. In order to estimate the parameters of the modulated components of the extracted envelope, two common modulation component spectrum estimation algorithms, Pisarenko harmonic decomposition method and extended Prony algorithm, are compared. This paper focuses on the study of Hilbert transform and extended Prony, and combines Hilbert transform with extended Prony algorithm to extract and analyze the voltage flicker envelope. Because the extended Prony algorithm is susceptible to noise, it is used to analyze non-stationary and noisy signals. This paper presents a voltage flicker detection method based on MM-Prony algorithm. Firstly, the signal is filtered by mathematical morphological filter to solve the problem of noise interference in extracting flicker signal envelope. Then the flicker envelope is extracted by Hilbert transform, and the amplitude, frequency and other parameter information of the modulation component are obtained by using the extended Prony algorithm to analyze the spectrum of the envelope. Through the example analysis, the above fusion algorithm can effectively improve the accuracy of Prony algorithm in estimating the parameters of each characteristic component of flicker signal. At the same time, it is shown that this method has good practical significance in the detection and analysis of voltage fluctuation and flicker in power system.
【學(xué)位授予單位】：長沙理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM712

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 黃艷菊;孫強(qiáng);;數(shù)學(xué)形態(tài)學(xué)濾波在電壓閃變檢測中的應(yīng)用[J];機(jī)電產(chǎn)品開發(fā)與創(chuàng)新;2011年04期

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本文編號：1874171