本文關(guān)鍵詞： GIS 故障診斷 SF_6氣體 局部放電 最小二乘支持向量機(jī) 最優(yōu)權(quán)重　出處：《長(zhǎng)沙理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：氣體絕緣組合電器(簡(jiǎn)稱GIS)具有結(jié)構(gòu)緊湊、可靠性高、安全性好、安裝周期短、維護(hù)方便、不受外界環(huán)境因素影響等優(yōu)點(diǎn),在電力系統(tǒng)中得到了廣泛的應(yīng)用及推廣。SF6氣體作為GIS的絕緣和滅弧介質(zhì),利用SF6氣體組分能有效診斷及評(píng)估其運(yùn)行狀況；局部放電是GIS早期絕緣缺陷的重要表征,能夠預(yù)測(cè)及診斷設(shè)備早期故障,避免故障進(jìn)一步惡化從而影響可靠供電。因此,研究基于SF6氣體和局部放電的GIS故障診斷技術(shù)具有十分重大的意義。利用SF6氣體對(duì)GIS進(jìn)行故障診斷,研究GIS設(shè)備運(yùn)行中溫度、風(fēng)速等環(huán)境因素對(duì)SF6氣體泄漏的影響,提出一種新型的GIS泄漏檢測(cè)方法,能夠在負(fù)載電流波動(dòng)和環(huán)境變化時(shí),精確檢測(cè)SF6開關(guān)設(shè)備中的氣體泄漏率；選取SF6氣體分解物組分SOF2/SO2F2、 CF4/CO2、(SOF2+SO2F2)/(CO2+CF4)進(jìn)行局部放電故障診斷,并使用最小二乘曲線擬合方法得到SOF2、SO2F2氣體理想的時(shí)間特性曲線及擬合程序,提出采用SOF2、SO2F2兩種特征氣體可以實(shí)現(xiàn)尖端放電、懸浮放電、顆粒放電三種類型的診斷。分析研究GIS尖端放電、懸浮放電、顆粒放電等四種局部放電故障類型,總結(jié)出超高頻和超聲波檢測(cè)法的放電特征,并進(jìn)行分析比較,為GIS設(shè)備內(nèi)部放電形式的判斷提供依據(jù)；采用時(shí)域有限差分算法(FDTD)對(duì)GIS局部放電時(shí)超高頻電磁信號(hào)進(jìn)行仿真,并與超高頻法(UHF)測(cè)得的實(shí)際頻譜進(jìn)行比較分析,得出相關(guān)結(jié)論。基于最小二乘支持向量機(jī)的GIS故障診斷方法,建立了LS-SVM模型和分類器,進(jìn)行GIS尖端放電、懸浮放電、顆粒放電等三種局部放電類型的模式識(shí)別；在Matlab中開發(fā)基于最小二乘支持向量機(jī)的故障診斷程序,并舉例論證方法的正確性�；谧顑�(yōu)權(quán)重的GIS設(shè)備綜合故障診斷方法,綜合超聲波檢測(cè)法、超高頻檢測(cè)法、SF6分解物檢測(cè)法等三種單一的GIS局部放電檢測(cè)方法的結(jié)果,對(duì)尖端放電、懸浮放電、顆粒放電分別進(jìn)行組合,賦予最優(yōu)權(quán)重,形成新的組合故障診斷方法；采用C語(yǔ)言編寫應(yīng)用程序并進(jìn)行計(jì)算,為基于最優(yōu)權(quán)重的GIS設(shè)備綜合故障診斷方法提供了良好的操作平臺(tái)。
[Abstract]:Gas insulated composite appliances (GISs) have the advantages of compact structure, high reliability, good safety, short installation period, convenient maintenance, and not affected by external environmental factors. SF6 gas is widely used in power system as insulation and arc extinguishing medium of GIS. It can be used to diagnose and evaluate the running condition of GIS effectively by using SF6 gas component. Partial discharge (PD) is an important representation of early insulation defects in GIS, which can predict and diagnose early faults of equipment, avoid further deterioration of faults and affect reliable power supply. It is of great significance to study the GIS fault diagnosis technology based on SF6 gas and partial discharge. The SF6 gas is used to diagnose the GIS fault and the temperature in the operation of GIS equipment is studied. This paper presents a new method for detecting SF6 leakage due to the influence of environmental factors such as wind speed and other environmental factors, which can be used to detect the leakage of SF6 when the load current fluctuates and the environment changes. Accurate detection of gas leakage rate in SF6 switchgear; The partial discharge fault diagnosis was carried out by selecting the components SOF _ 2 / so _ 2F _ 2 and CF _ 4 / CO _ 2 / SOF _ 2 SO2F2)/(CO2 _ (CF4) of SF6 gas decomposition. The ideal time characteristic curve and fitting program of SOF _ 2 so _ 2F _ 2 gas were obtained by using least square curve fitting method, and SOF2 was proposed. The fault types of tip discharge, suspended discharge and particle discharge can be diagnosed by two characteristic gases of SO2F2. Four kinds of partial discharge fault types such as tip discharge, suspended discharge and particle discharge of GIS are analyzed and studied. The discharge characteristics of UHF and ultrasonic detection methods are summarized and analyzed and compared to provide the basis for judging the internal discharge form of GIS equipment. A finite difference time-domain (FDTD) algorithm is used to simulate the UHF electromagnetic signals during partial discharge of GIS, and the actual frequency spectrum measured by UHF method is compared with that obtained by UHF method. Based on the least square support vector machine (LS-SVM) method of GIS fault diagnosis, the LS-SVM model and classifier are established to discharge and suspend discharge at the tip of GIS. Pattern recognition of three partial discharge types such as particle discharge; A fault diagnosis program based on least squares support vector machine (LS-SVM) is developed in Matlab, and an example is given to demonstrate the correctness of the method. A comprehensive fault diagnosis method for GIS equipment based on optimal weight is presented. The results of three single GIS partial discharge detection methods, such as ultrasonic detection method, ultra-high frequency detection method and SF6 dissociation detection method, are integrated into tip discharge, suspended discharge and particle discharge respectively. Giving the optimal weight to form a new combined fault diagnosis method; The application program is written in C language and calculated, which provides a good operating platform for the integrated fault diagnosis method of GIS equipment based on the optimal weight.
【學(xué)位授予單位】：長(zhǎng)沙理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM595

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 金立軍,劉衛(wèi)東,黃家旗,錢家驪;GIS金屬顆粒局部放電的試驗(yàn)研究[J];高壓電器;2002年03期

2 張仲旗,連鴻松;通過(guò)檢測(cè)SO_2發(fā)現(xiàn)SF_6電氣設(shè)備故障[J];中國(guó)電力;2001年01期

，

本文編號(hào)：1493840