Dynamic State Estimation for Wind Turbine Models With Unknown Wind Velocity

被引:22
作者
Anagnostou, Georgios [1 ]
Kunjumuhammed, Linash P. [1 ]
Pal, Bikash C. [1 ]
机构
[1] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
基金
英国工程与自然科学研究理事会;
关键词
Doubly-fed induction generators; Dynamic state estimation; Kalman filtering; unknown inputs; wind turbines; SYSTEM;
D O I
10.1109/TPWRS.2019.2909160
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
This paper proposes a novel Kalman filtering based dynamic state estimation method, which addresses cases of models with a nonlinear unknown input, and it is suitable for wind turbine model state estimation. Given the complexity characterizing modern power networks, dynamic state estimation techniques applied on renewable energy based generators, such as wind turbines, enhance operators' awareness of the components comprising modern power networks. In this context, the method developed here is implemented on a doubly-fed induction generator based wind turbine, under unknown wind velocity conditions, as opposed to similar studies so far, where all model inputs are considered to be known, and this does not always reflect the reality. The proposed technique is derivative-free and it relies on the formulation of the nonlinear output measurement equations as power series. The effectiveness of the suggested algorithm is tested on a modified version of the IEEE benchmark 68-bus, 16-machine system.
引用
收藏
页码:3879 / 3890
页数:12
相关论文
共 28 条
[1]   Derivative-Free Kalman Filtering Based Approaches to Dynamic State Estimation for Power Systems With Unknown Inputs [J].
Anagnostou, Georgios ;
Pal, Bikash C. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (01) :116-130
[2]  
[Anonymous], 2013, NETS NYPS 68 BUS SYS
[3]  
[Anonymous], 2011, C3711812011 IEEE
[4]   Benchmark Models for the Analysis and Control of Small-Signal Oscillatory Dynamics in Power Systems [J].
Canizares, C. ;
Fernandes, T. ;
Geraldi, E., Jr. ;
Gerin-Lajoie, L. ;
Gibbard, M. ;
Hiskens, I. ;
Kersulis, J. ;
Kuiava, R. ;
Lima, L. ;
DeMarco, F. ;
Martins, N. ;
Pal, B. C. ;
Piardi, A. ;
Ramos, R. ;
dos Santos, J. ;
Silva, D. ;
Singh, A. K. ;
Tamimi, B. ;
Vowles, D. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (01) :715-722
[5]   A phase tracking system for three phase utility interface inverters [J].
Chung, SK .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2000, 15 (03) :431-438
[6]   A Functional Observer Based Dynamic State Estimation Technique for Grid Connected Solid Oxide Fuel Cells [J].
Emami, Kianoush ;
Ariakia, Hadi ;
Fernando, Tyrone .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2018, 33 (01) :96-105
[7]   Dynamic State Estimation in Power System by Applying the Extended Kalman Filter With Unknown Inputs to Phasor Measurements [J].
Ghahremani, Esmaeil ;
Kamwa, Innocent .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (04) :2556-2566
[8]   Calibrating Parameters of Power System Stability Models Using Advanced Ensemble Kalman Filter [J].
Huang, Renke ;
Diao, Ruisheng ;
Li, Yuanyuan ;
Sanchez-Gasca, Juan ;
Huang, Zhenyu ;
Thomas, Brian ;
Etingov, Pavel ;
Kincic, Slaven ;
Wang, Shaobu ;
Fan, Rui ;
Matthews, Gordon ;
Kosterev, Dmitry ;
Yang, Steve ;
Zhao, Junbo .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (03) :2895-2905
[9]   Stability Analysis of a PMSG-Based Large Offshore Wind Farm Connected to a VSC-HVDC [J].
Kunjumuhammed, Linash P. ;
Pal, Bikash C. ;
Gupta, Robin ;
Dyke, Kevin J. .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2017, 32 (03) :1166-1176
[10]   Electrical Oscillations in Wind Farm Systems: Analysis and Insight Based on Detailed Modeling [J].
Kunjumuhammed, Linash P. ;
Pal, Bikash C. ;
Oates, Colin ;
Dyke, Kevin J. .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2016, 7 (01) :51-62