臺灣博碩士論文加值系統

在電力供應系統中，電力變壓器一直是最受重視的組件之一，若變壓器在運轉期間由於故障造成電力中斷，對經濟及電力供應之穩定性將造成極大的衝擊及影響。因此，變壓器在電力系統中之資產管理已成為企業的營運要素，並著重於提前預防與即時診斷維護，以避免突發事故的發生。其中，絕緣紙的劣化可用於判斷變壓器之耗損程度，絕緣紙嚴重劣化甚至會導致變壓器爆炸，所以藉由絕緣紙之劣化狀況，計算變壓器之剩餘壽命，進而決定變壓器之更換替時機顯得極為重要。
本研究以油浸式變壓器為例，提出一個以即時監控資訊為基之變壓器智慧維護保養建議平台，其目的為協助企業資產管理人員快速的彙整監控設備資訊及採樣資料成報表，給予設備維護診斷建議及剩餘使用壽命評估，以降低突發事故發生機率。本平台採用國際電子電機工程師學會 (Institute of Electrical and Electronics Engineers, IEEE) 所修正之Doernenburg診斷法、Rogers診斷法、以及國際電工委員會 (International Electrotechnical Commission, IEC) 文件中所描述之Duval Triangle診斷法等三種油中氣體分析法，診斷變壓器內部可能的故障，並提供相應的維護對策。而針對壽期預測提出一以資料群集處理技術為基的壽期減損評估方法，以油中氣體及糠醛生成量為變數，建立一個新的壽命評估模型，用以預測變壓器壽命損耗，並以此模型預測結果與IEC壽期減損的評估結果，相互比較及參考。

In the power supply system, the transformer has been one of the most important components. If the transformer faults during the power supply, the economy and stability of the power supply will suffer huge impact and influence. Therefore, the transformer has become a critical factor for business operations in the power system asset management. It focuses on the real-time diagnosis and preventive maintenance to avoid unexpected accidents. In addition, the deterioration of insulating paper can be used to determine the degree of transformer depletion. Serious deterioration of the insulating paper would cause the transformer explosion, and the replacement price of the paper is equivalent to buy a new transformer. Therefore, using the degradation degree of the insulating paper to compute the remaining life of the transformer and determine time for replace or purchase a transformer becomes extremely important.
This research is for oil-immersed transformers case study, to propose an intelligence maintenance recommendation platform base on real-time monitoring information. The purpose is to help asset manager quickly compiled the data that collected by the real-time monitoring equipment and regular sampling into information reports. These reports not only give the diagnostic and maintenance advice to engineer but also evaluate equipment remaining life for reduces the incidence of unexpected events. The platform using dissolved gas-in-oil analysis (DGA) base on the three methods which is Doernenburg, Rogers (revised by Institute of Electrical and Electronics Engineers, IEEE) and Duval Triangle (described in the International Electrotechnical Commission (IEC) appendix document) to diagnose transformer internal potential, and provide Maintenance recommend. On the other side, this research proposed a prediction method base on Group method of data handling to estimate life of impairment. This algorithm let the dissolved gas-in-oil and furfural formation to be the input variables to form a new life of impairment assessment model. Using the new proposed model predicted result and another life prediction model proposed by IEC provided for the manager to evaluate life of impairment, compared with each other and reference.

中文摘要 i
Abstract iii
誌 謝 v
目錄 vi
表目錄 viii
圖目錄 x
第一章 緒論 1
1.1 研究背景 1
1.2 動機和目標 3
1.3 研究假設 5
1.4 研究方法和步驟 5
第二章 文獻回顧 8
2.1 工程資產管理 8
2.2 油浸式變壓器絕緣材料之劣化模式及影響 11
2.3 變壓器之故障診斷方法 17
2.4 壽期評估方法 23
2.5 資料群集處理技術 38
第三章 研究方法 41
3.1 變壓器故障診斷方法 42
3.2 變壓器壽期評估現況及改善後流程 46
3.3 變壓器壽期減損評估研究方法與流程 48
3.4 資料群集處理技術 49
第四章 系統分析與設計 54
4.1 系統功能建置 54
4.2 系統功能分析與設計 57
4.3 資料庫設計 66
第五章 案例研究 70
5.1 研究案例背景 70
5.2 監控關鍵參數分析 70
5.3 壽期減損評估分析 75
5.4 智慧維護保養評估 83
第六章 結論與建議 90
6.1 結論 90
6.2 建議 91
參考文獻 92
附錄 96

[1] A.E.B., Abu-Elanien and M.M.A., Salama, 2010, “Asset management techniques for transformers,” Electric Power Systems Research, Vol. 80, Issue 4, April, pp. 456-464.
[2] M.F., Ariffin and P.S., Ghosh, 2007, “Estimating the age of paper insulation in 33/11 kV distribution power transformers using mathematical modeling,” 19th International Conference on Electricity Distribution (CIRED 2007), May, 21-24, Vienna, Paper No. 0784.
[3] M., Arshad, S.M., Islam, and A., Khaliq, 2004, “Power transformer asset management,” International Conference on Power System Technology (PowerCon 2004), November 21-24, Slngapore, Vol. 2, pp. 1395-1398.
[4] S.J., Farlow, 1981, “The GMDH algorithm of Ivakhnenko,” The American Statistician, November, Vol. 35, No. 4, pp. 210-215.
[5] M.R., Hodkiewicz and R., Pascual, 2006, “Education in engineering asset management – current trends and challenges,” International Physical Asset Management Conference, August 28-31, Tehran, Iran.
[6] T. Y., Hsiao, C.N., Lu and Y.H., Liu, 2002, “Defense plan design in a longitudinal power system,” 14th Power Systems Computation Conference (PSCC), June, 24-28, Sevilla.
[7] International Electrotechnical Commission, 2005, “IEC 60076-7 Power transformers Part 7: Loading guide for oil-immersed power transformers,” December 1.
[8] International Electrotechnical Commission, 2007, “IEC 60599 Ed. 2.1 b：2007 Mineral oil-impregnated electrical equipment in service - Guide to the interpretation of dissolved and free gases analysis,” May.
[9] Institute of Electrical and Electronics Engineers, 1995, IEEE Std. C57.91-1995 IEEE Guide for Loading Mineral-Oil-Immersed Transformers, June 14.
[10] Institute of Electrical and Electronics Engineers, 2003, IEEE Std. C57.91-1995/Cor 1-2002 IEEE Guide for Loading Mineral-Oil-Immersed Transformers Corrigendum 1, June 12.
[11] Institute of Electrical and Electronics Engineers, 2009, “C57.104-2008 IEEE Guide for the interpretation of gases generated in oil-Immersed transformers,” February 2, pp. 1-27.
[12] B., Iung, 2003, “From remote maintenance to MAS-based e-maintenance of an industrial process,” Journal of Intelligent Manufacturing, Vol. 14, No.1, pp. 59-82.
[13] A.G, Ivakhnenko, 1978, “The group method of data handling in long-range forecasting,” Technological Forecasting and Social Change, 12, pp.213-227.
[14] “Investigation Report into the Loss of Supply Incident affecting parts of South
London at 18:20 on Thursday, 28 August 2003," 2003, September 10, National Grid Company plc.
[15] T., Kato, and Y., Suzuoki, 2009, “Monte-Carlo-based modeling of asset management of electric power apparatuses for assessing influence of wide variety of degradation extent and failure probability,” IEEE the 9th International Conference on Properties and Applications of Dielectric Materials, July 19-23, Harbin, China, pp. 232-235.
[16] A.M., Leite da Silva, L., Chaves de Resende, L.A., da Fonseca Manso, V., Miranda, 2007, “Composite reliability assessment based on monte carlo simulation and artificial neural networks,” IEEE Transactions On Power Systems, VOL. 22, NO. 3, pp. 1202-1209.
[17] K., Najdenkoski, G., Rafajlovski and V., Dimcev, 2007, “Thermal aging of distribution transformers according to IEEE and IEC standards,” IEEE Power Engineering Society General Meeting, June 24-28, Tampa, FL, pp.1-5.
[18] OECD, 2001, Asset management for the road sector, Published by Organization for Economic Co-Operation and Development, Paris.
[19] G.C., Onwubolu, 2009, Hybrid self-organizing modeling systems, “Studies in Computational Intelligence”, Vol. 211.
[20] PAS 55-1: Asset Management: Specification for the optimized management of physical assets, 2008, British Standards Institution, UK.
[21] M.K., Pradhan, and T.S., Ramu, 2005, “On the Estimation of Elapsed Life of Oil-Immersed Power Transformers,” IEEE Transactions on Power Delivery, Vol. 20, No. 3, July, pp. 1962-1969.
[22] W.H., Press, S.A., Teukolsky, W.T., Vetterling and B.P., Flannery, 1993, Numerical recipes in C: The art of scientific computing, second edition. Cambridge University Press, UK.
[23] S., Snitkin, 2007, "Design, Operate, Maintain Interoperability - A journey worth taking, Collaborative asset lifecycle management vision and strategies", Chemical Industry Data eXchange - CIDX General Meeting, Jacksonville, Florida, USA, November.
[24] F., Sotiropoulos, P., Alefragis and E., Housos, 2007, “A hidden markov models tool for estimating the deterioration level of a power transformer,” IEEE International Conference on Emerging Technologies and Factory Automation, September 25-28, Patras, Greece, pp. 784-787.
[25] R.D., Stebbins, D.S., Myers and A.B., Shkolnik, 2003, “Furanic compounds in dielectric liquid samples: review and update of diagnostic interpretation and estimation of insulation ageing,” Proceedings of the 7th International Conference on Properties and Applications of Dielectric Materials, June 1-5, Nagoya, pp. 921-926.
[26] C., Suwanasri and T., Suwanasri, 2009, “Statistical method with efficient IT support for power transformer asset management,” 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2009), May 6-9, Pattaya, Chonburi, pp. 88-91.
[27] “Technical analysis of the August 14, 2003, blackout: What happened, why, and what did we learn?,” 2004, July, 13 report to the NERC board of Trustees by the NERC Steering Group.
[28] G., Zhang, C., Kwan, R., Xu, N., Vichare and M., Pecht, 2007, “An enhanced prognostic model for intermittent failures in digital electronics,” Proceedings on the IEEE Aerospace Conference, March 3-10, Big Sky, MT, pp. 1-8.
[29] J., Zhang and A., Zhang, 2009, “Using EAM to enhance the level of asset management: an application case in telecommunications company,” The 3rd International Conference on Engineering Management and Service Sciences (MASS 2009), September 20-22, Wuhan, China, pp. 1-3.
[30] Y., Zhou, Y., Sun, J., Mathew, R., Wolff and L., Ma, 2010, “Latent degradation indicators estimation and prediction: A Monte Carlo approach,” Mechanical Systems and Signal Processing, September 03.
[31] 鄭奕成，「油浸式變壓器之溫度抑制與壽命診斷」，華城技術刊物，第2期，1993年6月，pp. 34-40。
[32] 鄭奕成，「電力變壓器絕緣設計手法概述」，電機月刊，第七卷，第四期，1997年4月號，pp. 104-115。
[33] 黃政恭和葉護彬，「變壓器之壽命診斷」，電機月刊，第七卷，第四期，1997年4月號，pp. 144-151。
[34] 王世民，「變壓器的絕緣剩餘壽命推測」，華城技術刊物，第7期，1998年9月，pp. 12-18。
[35] 莊奇東 譯，「變壓器維護的成本有效性」，電機月刊，第九卷，第四期，1999年四月號，pp. 187-194。
[36] 梁瑞明，資料群集處理技術在半導體良率預測上之應用，碩士論文，元智大學工業工程研究所，桃園縣中壢市，2000年。
[37] 林煜亮，「變壓器之生命週期」，電機月刊，第12卷第4期，2002年4月號，pp. 158-170.
[38] 郭滿生和張喜樂，「簡論牽引變壓器的壽命」，中國科協2004年學術年會電力分會場暨中國電機工程學會2004年學術年會論文集，中國，海南，2004，pp. 598-602。
[39] 張詩錦，「油浸式變壓器之劣化機制與絕緣餘壽推算」，電機月刊，第十五卷，第十二期，2005年12月號，pp. 182-189。
[40] 孫國彬，「他國大停電 我思黑啟動」，電氣世界，2006年4月。
[41] 吳文輝和陶海英，「從莫斯科大停電淺析發供電設備管理」，江西電力職業技術學院學報，2006，19(4)。
[42] 徐進輝，油浸式變壓器預防診斷研究，碩士論文，國立虎尾科技大學電機工程研究所，雲林縣虎尾鎮，2007年。
[43] 王福春，油浸式變壓器油中氣體分析診斷與油活化再生處理研究，碩士論文，崑山科技大學電機工程研究所，台南市永康區，2009年。
[44] 王浩庭及詹涵雅，應用類神經網路於油浸式變壓器之故障診斷系統，專題報告，國立清華大學工業工程與工程管理學系，新竹市，2009年。
[45] 周保榮、柳勇軍、吳小辰、胡玉峰、陳建斌和趙傑，「巴西2009年11月10日大停電事故及其啟示分析」，南方電網技術，第4卷第1期，2010年。
[46] 林桐斌，變電設備維護管理系統之建置與變壓器油中氣體模糊分析法則之研究，碩士論文，國立臺北科技大學電機工程系研究所，台北市，2010年。
[47] 台灣電力公司全球資訊網站，http://www.taipower.com.tw/