Yaw-Augmented Control for Wind Farm Power Tracking

被引:2
|
作者
Starke, Genevieve M. [1 ]
Meneveau, Charles [2 ]
King, Jennifer [1 ]
Gayme, Dennice F. [2 ]
机构
[1] Natl Renewable Energy Lab, Natl Wind Technol Ctr, Golden, CO 80401 USA
[2] Johns Hopkins Univ, Dept Mech Engn, Baltimore, MD 21218 USA
基金
美国国家科学基金会;
关键词
SECONDARY FREQUENCY REGULATION; LARGE-EDDY SIMULATIONS; WAKE;
D O I
10.23919/ACC55779.2023.10156444
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a wind farm control strategy to use wake steering (yaw control) to augment pitch control for tracking a power reference signal. The outer loop controller employs a recently proposed dynamic yaw model with a time-varying graph structure that accounts for changes in the farm power output due to the propagation of wakes and wake interactions from yawing turbines. The inner pitch control loop uses a PI controller combined with a novel power-sharing arrangement that reduces the needed derate at each turbine. A compensation scheme accounts for the slow timescale effects of the yaw control actions within the faster timescale pitch control. The controller is applied to track two power trajectories (typical of secondary frequency regulation signals) using a large-eddy simulation wind farm plant. The results demonstrate that the additional control authority from yaw provides some added benefit in reducing the required turbine derates needed for wind farms to track transient power increases in the proposed setting. However, the benefit decreases and pitch control alone is sufficient when the turbines are derated beyond a certain level. These findings suggest that augmenting pitch control with yaw may provide financial incentives in terms of allowing wind farms to maximize power supply to the bulk power market while still providing regulation services. Further work is needed to analyze the costs and benefits of the additional control complexity versus bandwidth in augmenting pitch control with wake steering in these applications.
引用
收藏
页码:184 / 191
页数:8
相关论文
共 50 条
  • [1] Wind farm power optimization via yaw angle control: A wind tunnel study
    Bastankhah, Majid
    Porte-Agel, Fernando
    [J]. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2019, 11 (02)
  • [2] Wakes of Wind Turbines in Yaw for Wind Farm Power Optimization
    Crespo, Antonio
    [J]. ENERGIES, 2022, 15 (18)
  • [3] COORDINATED CONTROL OF WIND FARM BASED ON STEADY YAW
    Zhang, Ziliang
    Guo, Naizhi
    Yi, Kan
    Wen, Renqiang
    Shi, Kezhong
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2024, 45 (06): : 530 - 535
  • [4] Experimental investigation and analytical modelling of active yaw control for wind farm power optimization
    Zong, Haohua
    Porte-Agel, Fernando
    [J]. RENEWABLE ENERGY, 2021, 170 : 1228 - 1244
  • [5] Neural Network Based Power Tracking Control of Wind Farm
    Liang, Liyuan
    Song, Yongduan
    Tan, Mi
    [J]. ADVANCES IN NEURAL NETWORKS, PT II, 2017, 10262 : 52 - 59
  • [6] A novel yaw wake model for wind farm control applications
    Shen, Wen Zhong
    Lin, Jian Wei
    Jiang, Yu Hang
    Feng, Ju
    Cheng, Li
    Zhu, Wei Jun
    [J]. RENEWABLE ENERGY, 2023, 218
  • [7] A dynamic model of wind turbine yaw for active farm control
    Starke, Genevieve M.
    Meneveau, Charles
    King, Jennifer R.
    Gayme, Dennice F.
    [J]. WIND ENERGY, 2023,
  • [8] 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
  • [9] Tracking differentiator-based dynamic surface control for the power control of the wind generation system in the wind farm
    Zhang, Zhenzhen
    Xu, Hongbing
    Zou, Jianxiao
    Zheng, Gang
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2013, 227 (I3) : 275 - 285
  • [10] Analytical solutions for yawed wind-turbine wakes with application to wind-farm power optimization by active yaw control
    Zhang, Ziyu
    Huang, Peng
    Bitsuamlak, Girma
    Cao, Shuyang
    [J]. OCEAN ENGINEERING, 2024, 304