Condition assessment of power transformers based on dissolved gas analysis

被引:42
|
作者
Gouda, Osama E. [1 ]
El-Hoshy, Salah H. [2 ]
EL-Tamaly, Hassan H. [3 ]
机构
[1] Cairo Univ, Fac Engn, Giza, Egypt
[2] Elect Transmiss Co, Middle Egypt Elect Zone, Al Fayyum, Egypt
[3] Menia Univ, Fac Engn, Al Minya, Egypt
关键词
chemical analysis; fault diagnosis; transformer oil; power transformer testing; condition assessment; power transformers; dissolved gas analysis; incipient fault condition; oil-immersed transformers; interpretation techniques; Duval triangle technique; IEC techniques; graphical equilateral triangle technique; gas concentration ratios; DGA techniques; Doernenburg techniques; Roger techniques; combustible gases; DGA database; Egyptian Electricity Holding Company; IEC TC 10 databases; IN-OIL ANALYSIS; INCIPIENT FAULTS;
D O I
10.1049/iet-gtd.2018.6168
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
DGA is more sensitive and reliable technique for detecting and evaluating the incipient fault conditions in oil-immersed transformers. The most frequently interpretation technique that used in dissolved gas analysis is Duval triangle due to its simplicity and accuracy. Unfortunately the impacts of Ethane (C2H6) and Hydrogen (H-2) were not included in Duval triangle in spite of their importance in diagnosing certain faults types. In addition, the problem of no decision associated with some cases that lie out of the specified codes appeared in Doernenburg, Roger's and IEC techniques. Accordingly, this paper presented a new proposed graphical triangle technique using new three gas concentration ratios. These ratios were converted to new three ratio percentages of DGA based on the consideration of all five combustible gases. The aim of that was to overcome the conflict takes place in Duval triangle and other traditional techniques. The accuracy of the proposed triangle technique was evaluated using practical DGA database obtained from different transformers of different ratings life spans reported by Egyptian Electricity Holding Company, IEC TC 10 and related databases surveyed from actual incipient cases. The comparison with Duval and other traditional techniques showed good diagnostic accuracy of the new proposed triangle technique.
引用
收藏
页码:2299 / 2310
页数:12
相关论文
共 50 条
  • [1] A Review of Dissolved Gas Analysis in Power Transformers
    Sun, Huo-Ching
    Huang, Yann-Chang
    Huang, Chao-Ming
    [J]. 2011 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY ENGINEERING (ICAEE), 2012, 14 : 1220 - 1225
  • [2] Convolutional neural networks applied to dissolved gas analysis for power transformers condition monitoring
    Rao, Shaowei
    Yang, Shiyou
    Tucci, Mauro
    Barmada, Sami
    [J]. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2023, 73 (04) : 265 - 281
  • [3] Condition Evaluation of Power Transformers Using Dissolved Gas Analysis and Dielectric Breakdown Voltage Test
    Kumpalavalee, Suphon
    Suwanasri, Thanapong
    Suwanasri, Cattareeya
    Wattanawongpitak, Sarawut
    Sooksodkiao, Taratorn
    Tanprasert, Pornthep
    Kaewkamthong, Bhakbhum
    [J]. 2017 INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON), 2017,
  • [4] Dissolved gas analysis of alternative fluids for power transformers
    Khan, Imad-U
    Wang, Zhongdong
    Cotton, Ian
    Northcote, Susan
    [J]. IEEE ELECTRICAL INSULATION MAGAZINE, 2007, 23 (05) : 5 - 14
  • [5] State of the Art of Dissolved Gas Analysis in Power Transformers
    Sarria-Arias, Johana Tatiana
    -Bello, Natalia Andrea Guerrero
    Rivas-Trujillo, Edwin
    [J]. REVISTA FACULTAD DE INGENIERIA, UNIVERSIDAD PEDAGOGICA Y TECNOLOGICA DE COLOMBIA, 2014, 23 (36): : 105 - 122
  • [6] Classification of the Power Transformers using Dissolved Gas Analysis
    Assuncao, T. C. B. N.
    Assuncao, J. T.
    Neto, A. D.
    [J]. TECHNOLOGICAL DEVELOPMENTS IN NETWORKING, EDUCATION AND AUTOMATION, 2010, : 225 - 229
  • [7] Online Dissolved Gas Analysis of Power Transformers Based on Decision Tree Model
    Basuki, Arief
    Suwarno
    [J]. 2018 4TH IEEE CONFERENCE ON POWER ENGINEERING AND RENEWABLE ENERGY (ICPERE 2018), 2018, : 159 - 164
  • [8] Optimal gas subset selection for dissolved gas analysis in power transformers
    Pinto, Jose
    Esteves, Vitor
    Tavares, Sergio
    Sousa, Ricardo
    [J]. PROGRESS IN ARTIFICIAL INTELLIGENCE, 2024, 13 (01) : 65 - 84
  • [9] Optimal gas subset selection for dissolved gas analysis in power transformers
    José Pinto
    Vitor Esteves
    Sérgio Tavares
    Ricardo Sousa
    [J]. Progress in Artificial Intelligence, 2024, 13 : 65 - 84
  • [10] Condition Assessment of Power Transformers
    Fuhr, Jitka
    [J]. PROCEEDINGS OF 2012 IEEE INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS (IEEE CMD 2012), 2012, : 9 - 17