Stochastic model predictive controller for wind farm frequency regulation in waked conditions

被引:8
作者
Chen, Sunny [1 ]
Mathieu, Johanna L. [1 ]
Seiler, Peter [1 ]
机构
[1] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48103 USA
基金
美国国家科学基金会;
关键词
Frequency regulation; Stochastic model predictive control; Wind farm control;
D O I
10.1016/j.epsr.2022.108543
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
As renewable energy penetrations increase, wind farms may be required to provide ancillary services such as frequency regulation. For wind farms, two issues complicate frequency regulation: turbine-wake interactions alter the available wind power, and the future power reference signal is uncertain. This paper presents a stochastic model predictive controller (MPC) for wind farms to track an uncertain frequency regulation signal while accounting for wakes. The controller uses a simplified Park model with wake propagation delay to predict turbine-wake interactions. The controller operates without any knowledge of the future power regulation signal or wind speed. The controller solves a nonconvex stochastic optimization program using scenario optimization. Our stochastic MPC tracks with 7%-10% less error than our deterministic MPC controllers.
引用
收藏
页数:8
相关论文
共 16 条
  • [1] [Anonymous], PJM ancillary services
  • [2] Bay CJ, 2018, P AMER CONTR CONF, P682, DOI 10.23919/ACC.2018.8431764
  • [3] Stochastic Model Predictive Control: uncertainty impact on wind farm power tracking
    Boersma, S.
    Doekemeijer, B. M.
    Keviczky, T.
    van Wingerden, J. W.
    [J]. 2019 AMERICAN CONTROL CONFERENCE (ACC), 2019, : 4167 - 4172
  • [4] A constrained model predictive wind farm controller providing active power control: an LES study
    Boersma, Sjoerd
    Rostampour, Vahab
    Doekemeijer, Bart
    van Geest, Will
    van Wingerden, Jan-Willem
    [J]. SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2018), 2018, 1037
  • [5] Brahma S, 2022, Arxiv, DOI arXiv:2107.12939
  • [6] Burton T, 2011, Wind energy handbook
  • [7] JuMP: A Modeling Language for Mathematical Optimization
    Dunning, Iain
    Huchette, Joey
    Lubin, Miles
    [J]. SIAM REVIEW, 2017, 59 (02) : 295 - 320
  • [8] Centralised power control of wind farm, with doubly fed induction generators
    Hansen, AD
    Sorensen, P
    Iov, F
    Blaabjerg, F
    [J]. RENEWABLE ENERGY, 2006, 31 (07) : 935 - 951
  • [9] HSL, COLL FORTR COD LARG
  • [10] Jensen N, 1983, Report 87-550-0971-9