本文選題：變壓器套管 + 在線監(jiān)測��； 參考：《華北電力大學(xué)》2014年碩士論文

【摘要】：變壓器套管作為一種出線裝置，主要作用是將處于變壓器內(nèi)的高壓線引到油箱的外部，是變壓器的重要附件，也是十分重要的輸變電設(shè)備之一。對(duì)變壓器套管進(jìn)行在線監(jiān)測，，及時(shí)有效地掌握套管的運(yùn)行情況，為變壓器乃至整個(gè)電網(wǎng)的安全運(yùn)行提供了保障。因此，對(duì)變壓器套管實(shí)施在線監(jiān)測具有很高的理論價(jià)值和現(xiàn)實(shí)意義。 本文圍繞變壓器套管現(xiàn)場數(shù)據(jù)的采集、故障診斷、狀態(tài)評(píng)估三方面對(duì)變壓器套管在線監(jiān)測系統(tǒng)進(jìn)行設(shè)計(jì)�，F(xiàn)場數(shù)據(jù)采集部分選用目前已有的采集裝置分別就油色譜數(shù)據(jù)、介質(zhì)損耗數(shù)據(jù)、局部放電數(shù)據(jù)進(jìn)行采集提��；故障診斷部分中對(duì)油色譜數(shù)據(jù)運(yùn)用改良的三比值法進(jìn)行診斷，介質(zhì)損耗數(shù)據(jù)根據(jù)《變壓器油中溶解氣體分析和判斷導(dǎo)則》規(guī)定進(jìn)行初判，再與油色譜數(shù)據(jù)結(jié)合，依據(jù)大衛(wèi)三角法進(jìn)行診斷；局部放電數(shù)據(jù)運(yùn)用BP神經(jīng)網(wǎng)絡(luò)進(jìn)行診斷；狀態(tài)評(píng)估部分，建立了一種基于改進(jìn)的集對(duì)分析與三角模糊數(shù)耦合的變壓器套管評(píng)估模型，并通過實(shí)例驗(yàn)證了該方法的有效性。 本系統(tǒng)的數(shù)據(jù)庫服務(wù)器選用SQL Server2008，軟件的開發(fā)平臺(tái)為VisualStudio2008。
[Abstract]:The transformer bushing, as a kind of output device, is mainly used to lead the high-voltage line in the transformer to the outside of the oil tank, is an important accessory of the transformer, and is also one of the very important transmission and transformation equipment. On-line monitoring of transformer bushing, timely and effective control of the operation of the bushing, provides a guarantee for the safe operation of the transformer and even the whole power network. Therefore, the online monitoring of transformer bushing has high theoretical value and practical significance. In this paper, the on-line monitoring system of transformer bushing is designed in three aspects: data collection, fault diagnosis and state evaluation. In the field data acquisition part, the oil chromatographic data, dielectric loss data and partial discharge data are collected and extracted respectively by the existing collection devices. In the fault diagnosis part, the oil chromatographic data are diagnosed by the improved three-ratio method. The dielectric loss data is judged according to the guidelines for Analysis and judgment of dissolved gases in Transformer Oil, and then combined with oil chromatographic data to diagnose according to the David's triangle method, partial discharge data is diagnosed by BP neural network. In the part of state evaluation, an evaluation model of transformer bushing based on improved set pair analysis and triangular fuzzy number coupling is established, and the effectiveness of this method is verified by an example. The database server of this system chooses SQL Server 2008, the software development platform is Visual Studio 2008.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM407

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