本文選題：電力變壓器 + 拉曼光譜　； 參考：《重慶理工大學(xué)》2017年碩士論文

【摘要】：電力變壓器在電力系統(tǒng)中的地位舉足輕重,為準(zhǔn)確獲取電力變壓器的運行狀態(tài),及時對其進行有效的維護,本文選用了基于DGA(Dissolved Gas Analysis)的拉曼光譜檢測方法,以變壓器油中溶解故障特征氣體為檢測研究對象,通過拉曼仿真獲取故障特征氣體的拉曼特性,通過拉曼光譜線型分析確定更加符合實際情況的光譜數(shù)據(jù)處理方式,通過新拉曼特征參量的挖掘與應(yīng)用提高在現(xiàn)有實驗條件下拉曼定量分析的精度,為電力變壓器運行狀態(tài)的可靠評估打下堅實基礎(chǔ)。首先,針對七種變壓器故障氣體的拉曼特征頻譜選擇,建立了基于密度泛函理論(DFT)中B3LYP方法的氣體分子構(gòu)型優(yōu)化和拉曼頻率特征仿真分析,結(jié)合密度泛函理論與實際檢測確定七種故障氣體的特征拉曼頻率,為故障氣體種類的快速判別及定量分析打下了基礎(chǔ)。其次,以CH_4、C_2H_2氣體為例,在對光譜數(shù)據(jù)進行背景基線扣除、平滑去噪處理等合理的數(shù)據(jù)處理后,應(yīng)用GaussAmp線型擬合對其拉曼譜線進行擬合,并與Voigt線型擬合的結(jié)果進行了分析對比,發(fā)現(xiàn)在本文的實驗條件下,對0.625ml/cm3濃度的CH_4氣體,兩種擬合方式的校正決定系數(shù)雖然接近,但計算的譜峰面積差值竟然接近250a.u·cm-1;同時用AIC信息準(zhǔn)則和校正決定系數(shù)兩種評判標(biāo)準(zhǔn)都判斷出:相比目前應(yīng)用廣泛的Voigt線型擬合,GaussAmp線型在對變壓器油中溶解氣體CH_4、C_2H_2的拉曼譜線擬合中具有更佳的效果。而后,為了在現(xiàn)有實驗條件的基礎(chǔ)上提高拉曼光譜檢測用于變壓器油中溶解氣體定量分析的精度,從描述性統(tǒng)計學(xué)角度入手,挖掘拉曼光譜中新的特征參量,發(fā)現(xiàn)描述性統(tǒng)計參量——峰度,可用作拉曼光譜分析中的新參量。針對乙炔氣體的拉曼光譜實驗數(shù)據(jù),分別用基于GaussAmp擬合的譜峰參數(shù)定量分析方法和基于峰度的定量分析方法進行了處理,并對結(jié)果進行了基于統(tǒng)計學(xué)的評價。得到基于峰度擬合的相關(guān)系數(shù)與校正決定系數(shù)分別為0.99251和0.98294,大于基于GaussAmp譜峰參數(shù)擬合的0.97952和0.95366。表明對于乙炔氣體基于峰度的定量分析在未對實驗數(shù)據(jù)預(yù)處理的情況下得到了比目前拉曼氣體檢測定量分析更好的效果。最后,以CH_4氣體為例,應(yīng)用非參數(shù)統(tǒng)計模型,將能反映拉曼散射強度的新發(fā)現(xiàn)的拉曼特征參量——峰度與原有拉曼特征參量——譜峰面積有效結(jié)合來進行拉曼定量分析,得到了良好的效果,能為電力變壓器的運行狀態(tài)的有效評估提供可靠的技術(shù)支持。
[Abstract]:The power transformer plays an important role in the power system. In order to obtain the operation state of the power transformer accurately and effectively maintain it in time, this paper selects the Raman spectrum detection method based on the DGA (Dissolved Gas Analysis), and takes the dissolved fault characteristic gas in the transformer oil as the detection research object, and obtains through the Raman simulation. The Raman characteristics of the fault characteristic gas can be used to determine the spectral data processing mode which is more in line with the actual situation through the analysis of the Raman spectrum line type. Through the mining and application of the new Raman characteristic parameters, the accuracy of the Raman quantitative analysis under the existing experimental conditions is improved, which lays a solid foundation for the reliable evaluation of the operation state of the power transformer. To select the Raman characteristic spectrum of seven kinds of transformer fault gases, the gas molecular configuration optimization and the Raman frequency characteristic simulation analysis based on the B3LYP method in density functional theory (DFT) are established, and the characteristic Raman frequency of the seven kinds of fault gases is determined with the density functional theory and the actual detection, which is a quick discrimination and determination for the type of the fault gas. Secondly, taking CH_4, C_2H_2 gas as an example, after deducting the background baseline of the spectral data, smoothing the noise processing and other reasonable data processing, the GaussAmp line fitting is used to fit the Raman spectra with the GaussAmp line fitting, and the results of the fitting of the Voigt line are analyzed and compared. It is found that under the experimental conditions of this paper, 0.6 25ml/cm3 concentration of CH_4 gas, the correction coefficient of the two fitting methods is close, but the calculated spectral peak area difference is close to 250a.u cm-1. At the same time, the AIC information criterion and the correction decision coefficient two criteria are all judged that the GaussAmp line is dissolved in the transformer oil compared to the widely used Voigt line fitting. The Raman spectrum fitting of gas CH_4 and C_2H_2 has a better effect. Then, in order to improve the accuracy of the quantitative analysis of dissolved gases in transformer oil based on the existing experimental conditions, from the descriptive statistics point of view, the new characteristic parameters in the Raman spectrum are excavated and the descriptive statistical parameters are found. According to the experimental data of Raman spectra of acetylene gas, the quantitative analysis method of spectral peak parameters based on GaussAmp fitting and the quantitative analysis method based on kurtosis are processed respectively, and the results are evaluated based on statistics, and the correlation coefficient based on kurtosis fitting is obtained. The positive determinant coefficients are 0.99251 and 0.98294 respectively, which are greater than the 0.97952 and 0.95366. based on the GaussAmp peak parameter fitting. It shows that the quantitative analysis of the kurtosis based on the acetylene gas is better than the current quantitative analysis of the Raman gas detection in the condition that the experimental data is not pretreated. Finally, the CH_4 gas is used as an example. A new Raman characteristic parameter, the Raman characteristic parameter, which can reflect the Raman scattering intensity, is effectively combined with the original Raman characteristic parameter, the spectral peak area, which can provide reliable technical support for the effective evaluation of the operation state of the power transformer.
【學(xué)位授予單位】：重慶理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM41

【參考文獻】

相關(guān)期刊論文 前10條

1 詹翅;;關(guān)于電力檢修與電力施工技術(shù)的探討[J];企業(yè)導(dǎo)報;2016年14期

2 黃新波;李文君子;宋桐;王巖妹;;采用遺傳算法優(yōu)化裝袋分類回歸樹組合算法的變壓器故障診斷[J];高電壓技術(shù);2016年05期

3 黃新波;李文君子;宋桐;王巖妹;;基于DGA技術(shù)和SAMME的變壓器故障診斷[J];高壓電器;2016年02期

4 陳偉根;萬福;顧朝亮;鄒經(jīng)鑫;漆薇;王品一;;變壓器油中溶解氣體拉曼剖析及定量檢測優(yōu)化研究[J];電工技術(shù)學(xué)報;2016年02期

5 古興民;;變電設(shè)備狀態(tài)檢修技術(shù)研究[J];中國新技術(shù)新產(chǎn)品;2016年01期

6 趙世欽;劉大勇;;油中溶解氣體分析法在變壓器故障診斷中的應(yīng)用[J];吉林電力;2015年06期

7 周昕;;電力變壓器試驗及運行中的故障探究[J];技術(shù)與市場;2015年12期

8 鄧威;毛娟;;35kV油浸式電壓互感器缺陷分析[J];農(nóng)村電氣化;2015年09期

9 肖海振;;變電設(shè)備狀態(tài)檢修技術(shù)研究[J];中國高新技術(shù)企業(yè);2015年25期

10 程歡;楊孝寬;劉小明;;描述性選擇試驗設(shè)計方法研究——在出行選擇行為分析中的應(yīng)用[J];北京工業(yè)大學(xué)學(xué)報;2015年07期

相關(guān)博士學(xué)位論文 前2條

1 田陟賢;水合物賦存域孔隙水地化參數(shù)拉曼定量分析可行性研究[D];中國科學(xué)院研究生院(海洋研究所);2015年

2 張鑫;深海環(huán)境及深海沉積物拉曼光譜原位定量探測技術(shù)研究[D];中國海洋大學(xué);2009年

相關(guān)碩士學(xué)位論文 前2條

1 周俊;變電設(shè)備狀態(tài)檢修策略及應(yīng)用研究[D];華北電力大學(xué)（北京）;2006年

2 章劍光;變電設(shè)備狀態(tài)檢修應(yīng)用研究[D];浙江大學(xué);2004年

，

本文編號：1970214