Subspace-based identification of power transformer models from frequency response data

被引：21
作者：
Akçay, H [1 ]
Islam, SM
Ninness, B
机构：
[1] Univ Bremen, Dynam Syst Inst, D-28334 Bremen, Germany
[2] Curtin Univ Technol, Dept Elect & Comp Engn, Perth, WA 6001, Australia
[3] Univ Newcastle, Dept Elect & Comp Engn, Callaghan, NSW 2308, Australia
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 1999年 / 48卷 / 03期
关键词：
frequency response data; identification; power transformer; subspace-based algorithm;
D O I：
10.1109/19.772199
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：
A recent frequency-domain, subspace-based algorithm is used in the identification of two power transformers. The results indicate that the subspace-based identification algorithms can be used without modification even when the dynamic range of frequency response data is large.
引用
收藏
页码：700 / 704
页数：5
相关论文
共 50 条
  • [21] Identification of the Minimum Detection of Transformer Bushing Failure Based on Frequency Response Analysis (FRA)
    Aljohani, O.
    Abu-Siada, A.
    2016 IEEE 2ND ANNUAL SOUTHERN POWER ELECTRONICS CONFERENCE (SPEC), 2016,
  • [22] Enhanced modelling of the transformer winding high frequency parameters identification from measured frequency response analysis
    Chanane, Abdallah
    Houassine, Hamza
    Bouchhida, Ouahid
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (08) : 1339 - 1345
  • [23] Asymptotic analysis of subspace-based data-driven residual for fault detection with uncertain reference
    Viefhues, Eva
    Dohler, Michael
    Hille, Falk
    Mevel, Laurent
    IFAC PAPERSONLINE, 2018, 51 (24): : 414 - 419
  • [24] Power Auto-transformer Mechanical Faults Diagnosis based on Frequency Response Analysis
    Mahvi, Mojtaba
    Behjat, Vahid
    Mohseni, Hossein
    34TH INTERNATIONAL POWER SYSTEM CONFERENCE (PSC2019), 2019, : 764 - 771
  • [25] Application of Data Mining Technology Based on FRS and SVM for Fault Identification of Power Transformer
    Xue, Zhihong
    Sun, Xiaoyun
    Liang, Yongchun
    2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL II, PROCEEDINGS, 2009, : 452 - 455
  • [26] A Review of Frequency Response Analysis Methods for Power Transformer Diagnostics
    Alsuhaibani, Saleh
    Khan, Yasin
    Beroual, Abderrahmane
    Malik, Nazar Hussain
    ENERGIES, 2016, 9 (11)
  • [27] Robustness and performance analysis of subspace-based DOA estimation for rectilinear correlated sources in CES data model
    Abeida, Habti
    Delmas, Jean-Pierre
    SIGNAL PROCESSING, 2021, 178
  • [28] Subspace Based Model Order Estimation of Low Frequency Oscillations in Power Systems Using Synchrophasor Data
    Pande, Piyush Warhad
    Chakrabarti, S.
    Srivastava, S. C.
    2019 INTERNATIONAL CONFERENCE ON SMART GRID SYNCHRONIZED MEASUREMENTS AND ANALYTICS (SGSMA), 2019,
  • [29] Identification of port-Hamiltonian systems from frequency response data
    Benner, Peter
    Goyal, Pawan
    Van Dooren, Paul
    SYSTEMS & CONTROL LETTERS, 2020, 143
  • [30] Estimating Power Transformer High Frequency Model Parameters Using Frequency Response Analysis
    Abu-Siada, A.
    Mosaad, Mohamed I.
    Kim, Dowon
    El-Naggar, Mohamed F.
    IEEE TRANSACTIONS ON POWER DELIVERY, 2020, 35 (03) : 1267 - 1277
12345