State Estimation for Wind Turbine System Based on Kalman Filter

被引:0
|
作者
Huo Zhihong [1 ]
Zheng Yuan [1 ]
Xu Chang [1 ]
机构
[1] Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Consider the parameter uncertainty of the wind power station, wind turbine system state space model with uncertainty and disturb is modeled. State estimation Kalman filter for wind turbine system is designed based on Kalman filter theory. The effectiveness of the proposed Kalman filter is demonstrated with a simulation example.
引用
收藏
页码:441 / 443
页数:3
相关论文
共 50 条
  • [1] Ensemble Kalman Filter based Dynamic State Estimation of PMSG-based Wind Turbine
    Afrasiabi, Shahabodin
    Afrasiabi, Mousa
    Rastegar, Mohammad
    Mohammadi, Mohammad
    Parang, Benyamin
    Ferdowsi, Farzad
    [J]. 2019 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC), 2019,
  • [2] Kalman filter-based wind speed estimation for wind turbine control
    Dongran Song
    Jian Yang
    Mi Dong
    Young Hoon Joo
    [J]. International Journal of Control, Automation and Systems, 2017, 15 : 1089 - 1096
  • [3] Kalman Filter-based Wind Speed Estimation for Wind Turbine Control
    Song, Dongran
    Yang, Jian
    Dong, Mi
    Joo, Young Hoon
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (03) : 1089 - 1096
  • [4] Model-Based Load Estimation for Wind Turbine Blade with Kalman Filter
    Muto, Kazuo
    Namura, Nobuo
    Ukei, Yosuke
    Takeda, Norio
    [J]. 2019 8TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA 2019), 2019, : 191 - 199
  • [5] Dynamic State Estimation for Doubly Fed Induction Generator Wind Turbine Based on Adaptive Cubature Kalman Filter
    Wang, Tong
    Gao, Mingyang
    Huang, Shilou
    Wang, Zengping
    [J]. Dianwang Jishu/Power System Technology, 2021, 45 (05): : 1837 - 1843
  • [6] Kalman filter based strain estimation for fatigue assessment of an offshore monopile wind turbine
    Maes, K.
    De Roeck, G.
    Iliopoulos, A.
    Weijtjens, W.
    Devriendt, C.
    Lombaert, G.
    [J]. PROCEEDINGS OF ISMA2016 INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING AND USD2016 INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS, 2016, : 1649 - 1661
  • [7] LQ multimodel optimal controller for wind turbine with Kalman filter wind speed estimation
    Garmat, Abdelkader
    Azzouzi, Messaouda
    Bouchekima, Bachir
    [J]. 2018 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND ELECTRICAL ENGINEERING (ICCEE), 2018, : 122 - +
  • [8] State Estimation of the Nonlinear Suspension System based on Nonlinear Kalman Filter
    Yim, Sung-Soon
    Seok, Joon-Hong
    Lee, Ju-Jang
    [J]. 2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2012, : 720 - 725
  • [9] Unscented Kalman filter-based blade-effective wind speed estimation for a vertical-axis wind turbine
    Brandetti, Livia
    Liu, Yichao
    Pamososuryo, Atindriyo K.
    Mulders, Sebastiaan P.
    Watson, Simon
    van Wingerden, Jan-Willem
    [J]. IFAC PAPERSONLINE, 2023, 56 (02): : 8393 - 8399
  • [10] Fatigue stress estimation of offshore wind turbine using a Kalman filter in combination with accelerometers
    Noppe, N.
    Tatsis, K.
    Chatzi, E.
    Devriendt, C.
    Weijtjens, W.
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2018) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2018), 2018, : 4847 - 4855