GIS局部放電特高頻信號檢測系統(tǒng)研究
本文選題:GIS 切入點:局部放電 出處:《華北電力大學(xué)》2017年碩士論文
【摘要】:氣體絕緣封閉式組合電氣(簡稱GIS)在電力系統(tǒng)中是關(guān)鍵設(shè)備之一,由于其結(jié)構(gòu)緊湊,占地面積少;安裝配置靈活方便,工程建設(shè)周期短;運(yùn)行可靠性高等優(yōu)點使得GIS的應(yīng)用越來越廣泛。但是隨著GIS長期帶電運(yùn)行過程中,GIS故障概率有所上升。局部放電故障是GIS發(fā)生最常見的故障之一,因此對GIS局部放電檢測技術(shù)的研究是極為有意義的。目前在電力系統(tǒng)中GIS局部放電檢測方法主要有超聲波法、化學(xué)檢測法、脈沖電流法以及特高頻法。由于電力系統(tǒng)中電磁干擾以及其他載波干擾越來越嚴(yán)重,超聲波檢測法與脈沖電流法檢測的信號常常被干擾噪聲所淹沒,因此特高頻檢測法在GIS局部放電檢測中成為了一個研究熱點。特高頻檢測法對特高頻傳感器的檢測精度、靈敏度以及信號處理方法要求比較嚴(yán)格,因此設(shè)計一套具有高精度、抗干擾能力強(qiáng)的GIS局部放電檢測系統(tǒng)仍具有很重要的意義。針對上述問題,本文設(shè)計了具有高精度、抗干擾能力強(qiáng)的GIS局部放電特高頻信號檢測系統(tǒng)。該系統(tǒng)包括一種用于接收局部放電特高頻信號的高精度的Hilbert分形天線、基于分?jǐn)?shù)階小波包的局放特高頻信號去噪方法、信號處理裝置以及檢測系統(tǒng)軟件。本文提出一種參數(shù)預(yù)估與軟件優(yōu)化相結(jié)合的方法對Hilbert分形天線參數(shù)進(jìn)行優(yōu)化設(shè)計,并設(shè)計了優(yōu)化后的Hilbert分形天線。信號處理包括利用SPF5430系列信號放大芯片設(shè)計的信號放大器和基于包絡(luò)檢波的信號檢波器。以虛擬儀器(LABVIEW)為平臺開發(fā)了GIS局部放電特高頻信號檢測系統(tǒng)軟件,分別對軟件的程序、用戶登錄、局部放電信號檢測模塊、歷史數(shù)據(jù)查詢模塊分別進(jìn)行了詳細(xì)的設(shè)計。最后,現(xiàn)場調(diào)試與安裝驗證了該系統(tǒng)的有效性與可行性。
[Abstract]:Gas insulated enclosed composite electric (GISs) is one of the key equipment in power system, because of its compact structure, small area, flexible installation, short construction period.The advantages of high reliability make the application of GIS more and more extensive.However, with the long-term live operation of GIS, the probability of failure has increased.Partial discharge (PD) fault is one of the most common faults in GIS, so it is of great significance to study the PD detection technology of GIS.At present, the detection methods of GIS partial discharge in power system include ultrasonic method, chemical method, pulse current method and UHF method.Because of the more and more serious electromagnetic interference and other carrier interference in power system, the signals detected by ultrasonic detection method and pulse current method are often submerged by interference noise.Therefore, UHF detection method in GIS partial discharge detection has become a research hotspot.Ultra-high frequency (UHF) detection method is very strict to the precision, sensitivity and signal processing of UHF sensors, so it is very important to design a set of GIS partial discharge detection system with high precision and strong anti-interference ability.Aiming at the above problems, a GIS PD UHF signal detection system with high precision and strong anti-jamming ability is designed.The system includes a high-precision Hilbert fractal antenna for receiving partial discharge UHF signals, a partial discharge UHF signal denoising method based on fractional wavelet packet, a signal processing device and a detection system software.In this paper, a method combining parameter estimation with software optimization is proposed to optimize the parameters of Hilbert fractal antenna, and the optimized Hilbert fractal antenna is designed.Signal processing includes a signal amplifier based on SPF5430 series signal amplifiers and a signal detector based on envelope detection.Based on the virtual instrument LabVIEW, the software of GIS partial discharge UHF signal detection system is developed. The software program, user login, partial discharge signal detection module and historical data query module are designed in detail.Finally, field debugging and installation verify the effectiveness and feasibility of the system.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM595;TN911.23
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 李目;何怡剛;吳笑鋒;王俊年;;基于奇異值分解的分?jǐn)?shù)階小波綜合實現(xiàn)方法[J];電子測量與儀器學(xué)報;2016年02期
2 鮑連偉;李劍;薛武;張勁;程昌奎;;采用遺傳算法優(yōu)化局部放電超高頻Hilbert分形天線[J];高電壓技術(shù);2015年12期
3 李偉;舒娜;雷鳴;公多虎;張曉星;唐俊忠;;檢測GIS局部放電的矩形平面螺旋天線研究[J];高電壓技術(shù);2014年11期
4 王增彬;呂鴻;李興旺;黎量;王流火;顧溫國;;基于網(wǎng)絡(luò)分析儀的GIS局部放電在線監(jiān)測特高頻傳感器現(xiàn)場校核技術(shù)[J];廣東電力;2014年11期
5 李曉峰;劉振;龐先海;高飛;胡濤;趙軼;;特高頻局部放電檢測技術(shù)在GIS設(shè)備上的典型應(yīng)用[J];高壓電器;2013年07期
6 裴倩倩;張中梅;劉宏麗;;應(yīng)用特高頻檢測方法處理gis局部放電故障[J];信息通信;2013年04期
7 楊帆;杜雪松;牛雪松;李天助;程宇;;基于LabVIEW的三相共筒式GIS局部放電故障類型識別系統(tǒng)的研究[J];電氣制造;2013年03期
8 張?zhí)斐?胡岳;李清;黃興泉;盛戈v,
本文編號:1721022
本文鏈接:http://sikaile.net/kejilunwen/xinxigongchenglunwen/1721022.html