电器与能效管理技术 ›› 2023, Vol. 0 ›› Issue (11): 67-73.doi: 10.16628/j.cnki.2095-8188.2023.11.011

• 分布式电源及并网技术 • 上一篇    下一篇

考虑尾流效应的漂浮式风电场偏航优化控制策略研究

李彬彬, 王晓东, 刘颖明, 朱若男   

  1. 沈阳工业大学 电气工程学院, 辽宁 沈阳 110870
  • 收稿日期:2023-09-06 出版日期:2023-11-30 发布日期:2023-12-22
  • 作者简介:李彬彬(1998—),男,硕士研究生,研究方向为海上漂浮式风电场尾流优化控制。|王晓东(1978—),男,教授,研究方向为风电场储能及其能量管理策略、风电机组及储能系统协调控制。|刘颖明(1973—),男,教授,研究方向为大规模储能及其控制技术、风电场控制技术。
  • 基金资助:
    辽宁省“揭榜挂帅”科技攻关项目(2021JH1/10400009)

Research on Yaw Optimization Control Strategy of Floating Wind Farm Considering Wake Effect

LI Binbin, WANG Xiaodong, LIU Yingming, ZHU Ruonan   

  1. College of Electrical Engineering,Shenyang University of Technology, Shenyang 110870, China
  • Received:2023-09-06 Online:2023-11-30 Published:2023-12-22

摘要:

风电场内部尾流相互作用影响下游风力发电机组的流入风速,为了降低尾流效应对漂浮式风电场发电量的影响,提出了考虑尾流效应的漂浮式风电场偏航优化控制策略。针对偏航状况下尾流恢复速度变化以及对下游机组尾流影响的特殊性,建立高斯-卷曲混合尾流模型。考虑偏航工况对叶片位移、叶根载荷以及平台运动的影响,设定机组偏航角范围为约束条件,利用连续最小二乘(SLSQP)优化算法,以整场发电量最大为目标函数,偏航角为优化变量,优化获得风电场内每台机组最优偏航角以及各台机组发电量。仿真结果表明,所提控制策略可有效提高风电场整场发电量。

关键词: 漂浮式风电场, 尾流效应, 高斯-卷曲混合尾流模型, 偏航优化控制, 发电量

Abstract:

The interaction of internal wakes in wind farms affects the inflow wind speed of downstream wind turbines.To reduce the impact of wake effects on the power generation of floating wind farms, a yaw optimization control strategy of floating wind farms considering wake effects is proposed.A Gaussian curl mixed wake model is established for the specificities of the wake recovery speed changes and the impact on the wake of downstream units under yaw conditions.Considering the influence of yaw conditions on the blade displacement,the blade root load, and platform motion, a range of unit yaw angles is set as a constraint condition.Using the least squares SLSQP optimization algorithm, the optimal yaw angle and power generation of each unit in the wind farm are obtained with the maximum overall power generation as the objective function and the yaw angle as the optimization variable.The simulation results show that the proposed control strategy can effectively improve the overall power generation of the wind farm.

Key words: floating wind farm, wake effect, Gaussian curl mixed wake model, yaw optimization control, power generation

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