Computational Intelligence Algorithm based Condition Monitoring System for Power Transformer

被引:0
|
作者
Ballal, Makarand Sudhakar [1 ]
Suryawanshi, Hiralal Murlidhar [1 ]
Ballal, Deepali Makarand [2 ]
Choudhari, Bhupesh Nemichand [3 ]
机构
[1] Visvesvaraya Natl Inst Technol, Dept Elect Engn, Nagpur, Maharashtra, India
[2] Maharashtra State Elect Transmiss Co Ltd, Nagpur, Maharashtra, India
[3] PES Coll Engn, Dept Elect Engn, Aurangabad, Maharashtra, India
关键词
Computational Intelligence Algorithm (CIA); Condition Monitoring System (CMS); Normal Operating Region (NOR) and Abnormal Operating Region (AOR); FREQUENCY-RESPONSE ANALYSIS; INSULATION;
D O I
暂无
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
This paper presents Computational Intelligence Algorithm (CIA) based Condition Monitoring System (CMS) for Power Transformer. The online as well as offline data is used for making the decision. The mechanism is developed for real time application using the analogue to digital interfacing system for data transmission. Performance is tested for 132/33 kV, 25 MVA Power Transformer connected in power system and its results are found satisfactory.
引用
收藏
页码:154 / 159
页数:6
相关论文
共 50 条
  • [41] Condition Monitoring of Power Transformer Insulation by Return Voltage Measurement
    Soni, Gajanand
    Dutta, Saurabh
    Baral, Arijit
    PROCEEDINGS OF 2021 5TH INTERNATIONAL CONFERENCE ON CONDITION ASSESSMENT TECHNIQUES IN ELECTRICAL SYSTEMS (IEEE CATCON 2021), 2021, : 108 - 112
  • [42] Evolving neural nets for protection and condition monitoring of power transformer
    Moravej, Z
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2005, 33 (11) : 1229 - 1236
  • [43] Monitoring Partial Discharges in Stationary Condition Monitoring System of Furnace Transformer
    Radionov, Andrey A.
    Karandaeva, Olga I.
    Evdokimov, Sergey A.
    Gallyamova, Mariya S.
    Kondrashova, Yuliya N.
    PROCEEDINGS OF THE 2017 IEEE RUSSIA SECTION YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING CONFERENCE (2017 ELCONRUS), 2017, : 1571 - 1575
  • [44] Neural network-based adaptive monitoring system for power transformer
    Ottele, A
    Shoureshi, R
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2001, 123 (03): : 512 - 517
  • [45] Neural network-based adaptive monitoring system for power transformer
    Ottele, Andy
    Shoureshi, Rahmat
    Torgerson, Duane
    Work, John
    American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC, 1999, 67 : 511 - 520
  • [46] Remote monitoring and fault diagnosis system for power transformer based on HMM
    Qian Suxiang
    Hu Hongsheng
    Cao Jian
    Yan Gongbiao
    ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL III, 2007, : 571 - +
  • [47] Intelligence-based condition monitoring model
    Rashidi, Kamyar
    Jenab, Kouroush
    International Journal of Industrial and Systems Engineering, 2013, 13 (02) : 250 - 261
  • [48] Comparison of computational intelligence and statistical methods in condition monitoring for hard turning
    Kothamasu, R
    Huang, SH
    Verduin, WH
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2005, 43 (03) : 597 - 610
  • [49] Condition monitoring system for power transformers
    Schaefer, M
    Kutzner, R
    Feser, K
    2000 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS I-III, PROCEEDINGS, 2000, : 1701 - 1705
  • [50] SFRA based deterioration index for transformer condition monitoring
    Sreeram, V
    Rajkumar, M.
    Reddy, S. Sudhakara
    Gurudev, T.
    Maroti, M.
    2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2021,