Comprehensive optimization control of power boost and fatigue balance for offshore wind farms

被引：0
|
作者：
Deng Z. [1 ,2 ]
Guo S. [1 ]
Xu C. [1 ]
Wang B. [1 ,2 ]
Shen W. [3 ]
机构：
[1] College of Energy and Electrical Engineering, Hohai University, Nanjing
[2] HEDA Wind Power Technology Limited Company, Nanjing
[3] Department of Wind Energy, Technical University of Denmark, Lyngby
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2021年 / 42卷 / 01期
关键词：
Active power boost; Fatigue; Fatigue balance optimization; Offshore wind farms; Particle swarm optimization;
D O I：
10.19912/j.0254-0096.tynxb.2018-0748
中图分类号：
学科分类号：
摘要：
Aiming at the integrated optimization goal of power boosting and fatigue balance distribution in offshore wind farm, an optimization strategy with one-day optimization period is proposed. During the high load period of power grid, based on Jensen wake model, the axial induction factors as optimization variable and the maximization of the power output of the wind farm as the goal, and the random particle swarm optimization algorithm is used to improve the power output of the wind farm; During the high load period of power grid, Based on the wind turbine comprehensive fatigue coefficient calculation method, still using the axial induction factors of wind turbines as the optimization variable, and the wake calculation model is applied to adjust the axial induction factors to meet the power limit command of the power grid, the minimization of the standard deviation of the fatigue factors of turbines in the wind farm as the goal, and the particle swarm optimization algorithm is used to optimize the fatigue balance. Based on a case study of an offshore wind farm, the results show that the optimization strategy can achieve a comprehensive optimization of wind farm power boost and fatigue balance in a one-day optimization period. © 2021, Solar Energy Periodical Office Co., Ltd. All right reserved.
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页码：180 / 186
页数：6
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