Dissolved Gas Analysis Evaluation in Electric Power Transformers using Conventional Methods a Review

被引:180
|
作者
Faiz, Jawad [1 ]
Soleimani, Milad [1 ]
机构
[1] Univ Tehran, Coll Engn, Sch Elect & Comp Engn, Ctr Excellence Appl Electromagnet Syst, Tehran, Iran
关键词
Power transformers; fault diagnosis; dissolved gas analysis Duval triangle; IN-OIL ANALYSIS; IEC TC 10; FAULT-DIAGNOSIS; FUZZY-LOGIC;
D O I
10.1109/TDEI.2017.005959
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
Transformers are the most important equipment in power systems, and their failure can cause serious problems. In order to avoid hazardous operating conditions and reduce outage rates, fault detection in the incipient stage is necessary. Incipient faults cause thermal or/and electrical stresses on the transformer with a major consequence on insulation decomposition. The insulation decomposition causes the evolution of gases which can be dissolved in oil. Dissolved gas analysis (DGA) interpretation is one of the main techniques used for fault diagnosis in oil-immersed transformers. In this paper, DGA interpretation is evaluated in detecting different faults and the techniques considered as conventional methods of DGA are investigated. The evaluation is based on DGA data obtained from oil samples of real transformers.
引用
收藏
页码:1239 / 1248
页数:10
相关论文
共 50 条
  • [21] Recognition of low-temperature overheating in power transformers by dissolved gas analysis
    Oleg Shutenko
    Oleksii Kulyk
    Electrical Engineering, 2022, 104 : 2109 - 2121
  • [22] A Method for Dissolved Gas Forecasting in Power Transformers Using LS-SVM
    Atherfold, J.
    Van Zyl, T. L.
    PROCEEDINGS OF 2020 23RD INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2020), 2020, : 34 - 41
  • [23] Fault Classification in Power Transformers via Dissolved Gas Analysis and Machine Learning Algorithms: A Systematic Literature Review
    Dladla, Vuyani M. N.
    Thango, Bonginkosi A.
    APPLIED SCIENCES-BASEL, 2025, 15 (05):
  • [24] Fault Severity Determination in Transformers Using Dissolved Gas Analysis(DGA)
    Wani, Shufali A.
    Farooque, Md. Umer
    Khan, Shakeb A.
    Gupta, Dhawal
    Khan, Md. Ajmal
    2015 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2015,
  • [25] Performance Evaluation of Dissolved Gas Analysis Techniques against Measurement Errors
    Etman, Zeinab A. A.
    Mansour, Diaa-Eldin A.
    El-Amary, Noha H.
    2017 IEEE 19TH INTERNATIONAL CONFERENCE ON DIELECTRIC LIQUIDS (ICDL), 2017,
  • [26] A Spreadsheet Based Dissolved Gas Analysis Diagnostic Tool For Oil-Filled Transformers
    Mekkayil, Anju
    Pillai, Gobind
    Malcolm, Marc
    2020 55TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2020,
  • [27] Fuzzy Logic Applications to Power Transformer Fault Diagnosis Using Dissolved Gas Analysis
    Huang, Yann-Chang
    Huang, Chao-Ming
    Huang, Kun-Yuan
    INTERNATIONAL CONFERENCE ON ADVANCES SCIENCE AND CONTEMPORARY ENGINEERING 2012, 2012, 50 : 195 - 200
  • [28] Integrated ANN-Based Proactive Fault Diagnostic Scheme for Power Transformers Using Dissolved Gas Analysis
    Ghoneim, Sherif S. M.
    Taha, Ibrahim B. M.
    Elkalashy, Nagy I.
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2016, 23 (03) : 1838 - 1845
  • [29] Fault Diagnosis of Power Transformers Using Computational Intelligence: A Review
    Sun, Huo-Ching
    Huang, Yann-Chang
    Huang, Chao-Ming
    2011 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY ENGINEERING (ICAEE), 2012, 14 : 1226 - 1231
  • [30] Diagnosis of solid insulation deterioration for power transformers with dissolved gas analysis-based time series correlation
    Wang, Xuelei
    Li, Qingmin
    Yang, Rui
    Li, Chengrong
    Zhang, Ying
    IET SCIENCE MEASUREMENT & TECHNOLOGY, 2015, 9 (04) : 393 - 399