IDENTIFICATION OF PARAMETERS FOR POWER SYSTEM STABILITY ANALYSIS USING KALMAN FILTER.

被引：0
|
作者：
Namba, M.
Nishiwaki, T.
Yokokawa, S.
Ohtsuka, K.
机构：
来源：
Engineering News-Record | 1981年
关键词：
CONTROL SYSTEMS - Estimation - SIGNAL FILTERING AND PREDICTION - Kalman Filtering - SYSTEM STABILITY - Analysis - SYSTEMS SCIENCE AND CYBERNETICS - Identification;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The authors propose that parameters on generators and the control units, used for power stability analysis, should be identified on the field data for reliable analysis in planning and operation of power supply systems. They apply the Kalman filter technique in estimating the parameters. The identified data are compared with the design data and are well verified by analyzing dynamic stability under the line switching condition. Which deviation designed values from identified values has the largest influence on the analysis, is also investigated.
引用
收藏
相关论文
共 50 条
  • [21] IDENTIFICATION OF LINEAR TIME-VARYING SYSTEMS WITH MODIFIED EXTENDED KALMAN FILTER.
    Wang Zheng-ou
    Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 1983, (02): : 63 - 72
  • [22] IMPROVEMENT OF POWER ANALYSIS ATTACKS USING KALMAN FILTER
    Souissi, Youssef
    Guilley, Sylvain
    Danger, Jean-luc
    Mekki, Sami
    Duc, Guillaume
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 1778 - 1781
  • [23] Dynamic Estimation of Power System Stability in Different Kalman Filter Implementations
    Goh, H. H.
    Tai, C. W.
    Chua, Q. S.
    Lee, S. W.
    Kok, B. C.
    Goh, K. C.
    Teo, K. T. K.
    PROCEEDINGS OF THE 2014 IEEE NW RUSSIA YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING CONFERENCE (ELCONRUSNW), 2014, : 41 - 46
  • [24] Identification of parameters in nonlinear geotechnical models using extenden Kalman filter
    Nestorovic, Tamara
    Nguyen, Luan T.
    Trajkov, Miroslav
    CSNDD 2014 - INTERNATIONAL CONFERENCE ON STRUCTURAL NONLINEAR DYNAMICS AND DIAGNOSIS, 2014, 16
  • [25] System identification and tracking using a statistical model and a Kalman filter
    Soal, K.
    Govers, Y.
    Bienert, J.
    Bekker, A.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 133
  • [26] Nonlinear Dynamical System Identification Using Unscented Kalman Filter
    Rehman, M. Javvad Ur
    Dass, Sarat Chandra
    Asirvadam, Vijanth Sagayan
    PROCEEDING OF THE 4TH INTERNATIONAL CONFERENCE OF FUNDAMENTAL AND APPLIED SCIENCES 2016 (ICFAS2016), 2016, 1787
  • [27] Subspace system identification of the Kalman filter
    Di Ruscio, D
    MODELING IDENTIFICATION AND CONTROL, 2003, 24 (03) : 125 - 157
  • [28] Calibrating Multi-machine Power System Parameters with the Extended Kalman Filter
    Kalsi, Karanjit
    Sun, Yannan
    Huang, Zhenyu
    Du, Pengwei
    Diao, Ruisheng
    Anderson, Kevin K.
    Li, Yulan
    Lee, Barry
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [29] Parameters identification of an elastic plate subjected to dynamic loading by inverse analysis using BEM and Kalman filter
    Tanaka, M
    Matsumoto, T
    Yamamura, H
    RECENT DEVELOPMENT IN THEORIES & NUMERICS, 2003, : 384 - 393
  • [30] Online-Identification of the Induction Machine Parameters Using the Extended Kalman Filter
    Buchholz, Oleg
    Boecker, Joachim
    Bonifacio, Joao
    2018 XIII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2018, : 1623 - 1629
12345