Determination of synchronous machine parameters using network synthesis techniques

被引:13
|
作者
Verbeeck, J
Pintelon, R
Guillaume, P
机构
[1] Free Univ Brussels, Dept Elec, B-1050 Brussels, Belgium
[2] Free Univ Brussels, Dept WERK, B-1050 Brussels, Belgium
关键词
synchronous machines; identification; circuit synthesis;
D O I
10.1109/60.790875
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper deals with the problem of the determination of synchronous machine parameters starting from two-port information. Network synthesis techniques are used to show that no unique solution can be found for models containing more than one damper winding. Only a limited number of parameters can be determined in a unique way from two-port information.
引用
收藏
页码:310 / 314
页数:5
相关论文
共 50 条
  • [31] Determination of Parameters of a Synchronous Machine Fifth Order Model from Laboratory Tests.
    Salvatore, Luigi
    Savino, Mario
    Energia Elettrica, 1980, 57 (07):
  • [32] A Heterogeneous Ensemble Network Using Machine Learning Techniques
    Rashid, Tarik
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2009, 9 (08): : 335 - 339
  • [33] Improving Network Security Using Machine Learning Techniques
    Akbar, Shaik
    Chandulal, J. A.
    Rao, K. Nageswara
    Kumar, G. Sudheer
    2012 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2012, : 76 - 80
  • [34] Detection of Malware in the Network Using Machine Learning Techniques
    Yogesh, B.
    Reddy, G.Suresh
    Proceedings - 2022 International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems, ICMACC 2022, 2022, : 204 - 211
  • [35] Network Intrusion Detection Using Machine Learning Techniques
    Almutairi, Yasmeen
    Alhazmi, Bader
    Munshi, Amr
    ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL, 2022, 16 (03) : 193 - 206
  • [36] Synchronous machine model identification using continuous wavelet NARX network
    Ravan, M.
    Amineh, R. K.
    Karrari, M.
    Rosehart, W. B.
    Malik, O. P.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2009, 223 (I4) : 467 - 477
  • [37] NEURAL NETWORK SYNCHRONOUS MACHINE MODELING
    CHOW, M
    THOMAS, RJ
    1989 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-3, 1989, : 495 - 498
  • [38] Predicting nuclear fuel parameters by using machine learning techniques
    Cabezas Contardo, Juan M.
    Lopez-Cortes, Xaviera A.
    Merino, Ivan
    2021 40TH INTERNATIONAL CONFERENCE OF THE CHILEAN COMPUTER SCIENCE SOCIETY (SCCC), 2021,
  • [39] Estimation of Earthquake Source Parameters Using Machine Learning Techniques
    Rajguru, Gaurav
    Bhadauria, Y. S.
    Mukhopadhyay, S.
    2018 9TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2018,
  • [40] DETERMINATION OF MODEL PARAMETERS OF SYNCHRONOUS MACHINES
    CANAY, IM
    IEE PROCEEDINGS-B ELECTRIC POWER APPLICATIONS, 1983, 130 (02): : 86 - 94