A parameters estimation method for generators using trajectory sensitivity

被引：0
|
作者：
Chen, Jianhua [1 ]
Wu, Wenchuan [1 ]
Zhang, Boming [1 ]
Sun, Hongbin [1 ]
Wang, Dexing [2 ]
机构：
[1] State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
[2] East China Power Grid Corporation, Shanghai 200002, China
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2010年 / 34卷 / 23期
关键词：
Numerical methods - Trajectories;
D O I：
暂无
中图分类号：
O24 [计算数学];
学科分类号：
070102 ;
摘要：
A trajectory sensitivity-based generator parameter robustness estimation method is proposed, which can be used in online applications. Firstly, trajectory sensitivity is used to form the parameter set which has a relatively strong influence on a power system's dynamic behavior. An exponential type objective function is used to formulate the estimation model, which can automatically compress the bad data. A trajectory sensitivity-based method using PMU data is also presented to solve this model. The validity of the method proposed is proved by numerical tests on a New England system. © State Grid Electric Power Research Institute Press.
引用
收藏
页码：21 / 24
相关论文
共 50 条
  • [1] Method for UAV Trajectory Parameters Estimation using Additional Radar Data
    Kozlovskyy, V.
    Parkhomey, I.
    Odarchenko, R.
    Gnatyuk, S.
    Zhmurko, T.
    2016 4TH INTERNATIONAL CONFERENCE ON METHODS AND SYSTEMS OF NAVIGATION AND MOTION CONTROL (MSNMC), 2016, : 39 - 42
  • [2] A methodology for parameter estimation of synchronous generators based on trajectory sensitivity and synchronization technique
    Cari, E. P. T.
    Alberto, L. F. C.
    Bretas, N. G.
    2006 POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-9, 2006, : 127 - +
  • [3] Robust PSS Parameters Design Using a Trajectory Sensitivity Approach
    Yuan, S. Q.
    Fang, D. Z.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24 (02) : 1011 - 1018
  • [4] Research on Screening Method of Synchronous Generator Dominant Parameters Based on Trajectory Sensitivity
    Xie, Chang
    Zhou, Yi
    Bai, Wei
    10TH ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC 2018), 2018, : 643 - 648
  • [5] Sensitivity analysis and estimation using a hierarchical Bayesian method for the parameters of the FvCB biochemical photosynthetic model
    Han, Tuo
    Zhu, Gaofeng
    Ma, Jinzhu
    Wang, Shangtao
    Zhang, Kun
    Liu, Xiaowen
    Ma, Ting
    Shang, Shasha
    Huang, Chunlin
    PHOTOSYNTHESIS RESEARCH, 2020, 143 (01) : 45 - 66
  • [6] Sensitivity analysis and estimation using a hierarchical Bayesian method for the parameters of the FvCB biochemical photosynthetic model
    Tuo Han
    Gaofeng Zhu
    Jinzhu Ma
    Shangtao Wang
    Kun Zhang
    Xiaowen Liu
    Ting Ma
    Shasha Shang
    Chunlin Huang
    Photosynthesis Research, 2020, 143 : 45 - 66
  • [7] Adaptive estimation of reentry trajectory parameters
    Cai, Hong
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 1996, 18 (03): : 29 - 34
  • [8] Trajectory estimation method using sparsely deployed anchor nodes
    Kimura, Tomotaka
    Noguchi, Akira
    Hirata, Kouji
    Muraguchi, Masahiro
    2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2019,
  • [9] Trajectory Sensitivity Method and Master-Slave Synchronization to Estimate Parameters of Nonlinear Systems
    Cari, Elmer P. T.
    Theodoro, Edson A. R.
    Mijolaro, Ana P.
    Bretas, Newton G.
    Alberto, Luis F. C.
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2009, 2009
  • [10] Estimation of Olfactory Sensitivity Using a Bayesian Adaptive Method
    Hoechenberger, Richard
    Ohla, Kathrin
    NUTRIENTS, 2019, 11 (06)
12345