本文關(guān)鍵詞： 電力變壓器 油中溶解氣體分析 故障診斷 光聲光譜　出處：《武漢理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：電力變壓器安全可靠地運(yùn)行是整個(gè)供電系統(tǒng)穩(wěn)定的基礎(chǔ)。若設(shè)備出現(xiàn)故障，通常會(huì)引起局部的或全部的系統(tǒng)設(shè)備停止運(yùn)行，造成嚴(yán)重的斷電事故，并會(huì)帶來巨大的經(jīng)濟(jì)損失。因此為了防止變壓器出現(xiàn)故障，采用對變壓器狀態(tài)進(jìn)行在線監(jiān)測，來及早發(fā)現(xiàn)變壓器的潛伏性故障，并及時(shí)采取措施，對變壓器進(jìn)行維修或更換，，便能夠有效避免因重大事故的發(fā)生而造成不可預(yù)計(jì)的嚴(yán)重后果。 油中溶解氣體分析（DGA）技術(shù)因其不需要停電就可以對運(yùn)行中的變壓器的狀態(tài)進(jìn)行檢測，而且也不會(huì)受到外界環(huán)境的干擾，是變壓器狀態(tài)監(jiān)測中最為廣泛使用的一種技術(shù)。它通過對采樣的變壓器油中所含氣體的組分與濃度進(jìn)行分析，來判斷該變壓器的運(yùn)行狀態(tài)。 本論文以油中溶解氣體分析技術(shù)為基礎(chǔ)，對變壓器在線監(jiān)測與故障診斷系統(tǒng)進(jìn)行研究。論文從油中溶解氣體在線監(jiān)測裝置、故障診斷算法以及變壓器在線監(jiān)測管理系統(tǒng)三大模塊分別進(jìn)行討論，構(gòu)成一個(gè)完整的變壓器狀態(tài)監(jiān)測與故障診斷系統(tǒng)： （1）油中溶解氣體在線監(jiān)測裝置主要由油氣分離和氣體檢測兩部分組成。通過對比分析，確定了采用動(dòng)態(tài)頂空脫氣的方式進(jìn)行油氣分離，并使用光聲光譜法對分離出的混合氣體進(jìn)行檢測。實(shí)驗(yàn)數(shù)據(jù)顯示，該裝置的精確度高、穩(wěn)定性好。 （2）介紹了幾種通過對氣體濃度進(jìn)行比值計(jì)算來確定變壓器故障性質(zhì)的傳統(tǒng)算法。然后研究了一種動(dòng)態(tài)加權(quán)的模糊聚類算法對變壓器故障進(jìn)行判斷，該算法可以防止傳統(tǒng)算法中因編碼缺失或邊界問題而造成診斷結(jié)果的不準(zhǔn)確。 （3）最后，設(shè)計(jì)了一款電力變壓器在線監(jiān)測管理系統(tǒng)，采用B/S架構(gòu)，不再需要復(fù)雜繁瑣的軟件的安裝與更新，可直接通過互聯(lián)網(wǎng)實(shí)時(shí)獲取變壓器的運(yùn)行狀態(tài)數(shù)據(jù)。并且可以對運(yùn)行中的變壓器進(jìn)行在線的故障診斷，通過可視化的診斷方式來確定變壓器的狀態(tài)信息。
[Abstract]:The safe and reliable operation of power transformers is the basis of the stability of the whole power supply system. Therefore, in order to prevent transformer failure, on-line monitoring of transformer condition is adopted to detect the latent fault of transformer as soon as possible, and timely measures are taken to repair or replace the transformer. Can effectively avoid the occurrence of serious accidents and unpredictable serious consequences. The dissolved Gas Analysis in Oil (DGA) technology can detect the status of transformers in operation without power outages, and will not be disturbed by the external environment. It is the most widely used technology in transformer condition monitoring. It can judge the operation state of transformer by analyzing the composition and concentration of gas in the sampled transformer oil. Based on the analysis technology of dissolved gas in oil, the on-line monitoring and fault diagnosis system of transformer is studied in this paper. The three modules of fault diagnosis algorithm and transformer on-line monitoring and management system are discussed, which constitute a complete transformer condition monitoring and fault diagnosis system. 1) On-line monitoring device for dissolved gas in oil is mainly composed of two parts: oil and gas separation and gas detection. Through comparison and analysis, it is determined that dynamic headspace degassing is used to separate oil and gas. The experimental data show that the device has high accuracy and good stability. This paper introduces several traditional algorithms to determine the fault properties of transformer by calculating the ratio of gas concentration, and then studies a dynamic weighted fuzzy clustering algorithm to judge transformer fault. This algorithm can prevent the inaccuracy of the diagnosis result caused by the missing coding or boundary problem in the traditional algorithm. Finally, a power transformer on-line monitoring and management system is designed, which adopts the B / S structure and no longer needs complicated software installation and update. The running state data of transformers can be obtained directly through the Internet, and the on-line fault diagnosis of transformers in operation can be carried out, and the state information of transformers can be determined by visual diagnosis.
【學(xué)位授予單位】：武漢理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM407

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本文編號：1533806