本論文主要研究應用變壓器油中氣體分析的方法，對大型油浸式電力變壓器故障之診斷做一探討，並結合三種診斷法建構一套快速的診斷程式。當變壓器內部產生故障時，其內部化驗出的油中氣體，經由本程式可迅速的診斷出故障類型與可能部位。
在本文中係從送電中之變壓器採少許油樣，在實驗室經油氣分離後，以氣體層析儀分析定量油中所含可燃性氣體量，進而對於變壓器做故障診斷，當分析結果判斷出變壓器裸露金屬高溫過熱現象時，再經由實際對變壓器的拆解，結果發現變壓器鐵心矽鋼片因振動產生的位移，導致渦電流對矽鋼片位移故障點產生過熱現象，在經對矽鋼片部分結構作改良後，再取油樣觀察油中各種氣體，則發現其變化極小，因此証實本文所提出的改善方法，對初期故障判斷確實有效。
本論文研究對象以容量336MVA、23.75kV/345kV、三組單相升壓變壓器其中一相為研究重點。利用定期抽取油樣所化驗出之可燃性氣體累積含量，經初步診斷為異常變壓器後，再對異常變壓器運用氣體模式診斷法、氣體組成比診斷法、數碼診斷法及本文所提出的診斷程式來推測故障類型與故障可能部位，並對故障情況進行實際變壓器內部檢查做一分析比對。
經由分析比對結果可發現，經由油中氣體分析診斷變壓器是否確實故障，是相當有效的方法。並可依照可燃性氣體總量變化趨勢來判斷變壓器損害程度，再決定是否繼續運轉。故而定期作油中氣體追蹤檢查以掌握變壓器運轉狀況，是變壓器保養維護上不可或缺的工作。經由本論文所提之方法分析可做為大電力用戶對變壓器維護保養的參考，以確保變壓器運轉安全可靠。

The main purpose of this thesis is to utilize transformer oil dissolved gas for abnormal conditions diagnose. The thesis also develops an analysis method which based on three different existing theories to obtain fast and accurate new diagnosis procedures. The procedure by using transformer oil dissolved gas can define the types and locations of transformer abnormal parts.
The sample oil from an on-line transformer can give variable and useful data which can be analyzed the total amount of flammable gas in the laboratory. The type of faults of transformer can be diagnosed easily from the data. Also the over-heat uncovered metal parts of the transformer can be identified. Furthermore, the displacement of silicon sheet core caused by vibration can be obtained after disassembling the transformer. This displacement will cause over-heating phenomenon due to eddy current circulation. After improvement of silicon steel structure, the over-heating phenomenon is disappear and the amount of sample oil dissolved gas keep almost constant. The method which is proposed in the thesis improves the fault identification significantly.
A practical transformer rated at 336 MVA combined by three single 23.75kV/345kV transformers have been selected to support the diagnosis program. Periodic collecting sample oil and analysis the total quantity of dissolved gas can diagnose abnormal conditions primarily. The diagnosis program can identify the types and locations of the faults with the diagnosis information. The transformer then can be stripped down for repair and maintenance.
The diagnosis analysis program from the dissolved gas can identify the transformer faults efficiently. The data also can make right decision whether the transformer operating normally or not. To obtain the best maintenance conditions, periodic collecting oil sample and carrying on the analysis in the laboratory is most efficiently method. The method which proposed in the thesis can offer the best maintenance data to secure the transformer operating reliability and safety.

摘要
ABSTRACT
目錄
圖目錄
表目錄
第一章 緒論
1.1 研究背景與目的
1.2 論文架構及內容概述
第二章 變壓器之模型與油中氣體
2.1 前言
2.2 系統概述
2.3 變壓器模型簡介
2.3.1 變壓器模型
2.3.2 變壓器磁性材料
2.4 油中氣體簡介
第三章 油中氣體診斷法簡介
3.1 前言
3.2 氣體模式診斷法
3.3 數碼診斷法
3.3.1 Rogers改良法
3.3.2 IEC改良法
3.3.3 Glass診斷法
3.3.4 日本電協研法
3.3.5 Laborelec診斷法
3.3.6 Cigre診斷法
3.4 氣體組成比診斷法
3.4.1 二成分組成比診斷法
第四章 變壓器油中氣體診斷程式
4.1 前言
4.2 程式編寫之依據
4.3 程式編寫之結構
第五章 變壓器油中氣體診斷實例與程式模擬
5.1 前言
5.2 可燃性氣體數據之建立
5.3 診斷分析
5.3.1氣體模式診斷法
5.3.2數碼診斷法
5.3.3氣體組成比診斷法
5.4 變壓器油中氣體診斷程式的測試
5.5 變壓器內部檢查
第六章 結論與展望
參考文獻

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