上海交通大学学报

上海交通大学学报

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基于偏航和轴向诱导联合嵌套优化的风电场优化发电策略

  

  1. 上海交通大学 a.电气工程学院；b.电力传输与功率变换控制教育部重点实验室，上海 200240
  • 作者简介:张智翔(1993—)，博士生，从事风电场仿真，尾流模型，风电场控制方面研究
  • 基金资助:
    国家重点研发计划（2023YFB4203200）资助项目

Wind Farm Power Optimization via Combined Nested Yaw and Axial Induction Optimization Strategies

  1. a. School of Electrical Engineering; b. Key laboratory of control of power transmission and conversion of the ministry of education, Shanghai Jiao Tong University, Shanghai 200240, China

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摘要： 风电场内风力发电机组通过尾流效应高度耦合，优化尾流分布对提升全场风能利用率潜力巨大。鉴于主动偏航控制与轴向诱导控制对机组间尾流的共同影响，以及两种控制在调节周期和响应时间上的差异，提出了一种联合主动偏航控制和轴向诱导控制的嵌套优化方法，结合初始解定位策略，在提高风电场发电量的同时显著减少优化时间。尾流分布模拟融合双参数韦布尔分布入流与三维高斯尾流模型，以提高精度并可反映机组偏航及风场内垂直高度变化对尾流分布估计的影响。最后，以中国东南海域某风电场为例进行了仿真，对比结果表明所提出的嵌套优化策略对提升全场功率有更好的效果。

关键词: 风电场, 机组间尾流, 风能利用率, 偏航优化, 轴向诱导优化

Abstract: Wind turbines within a wind farm are highly coupled through wake effects, presenting significant potential for improving overall wind energy utilization through wake distribution optimization. Considering the combined impact of active yaw control and axial induction control on inter-turbine wakes, as well as differences in their regulation cycles and response times, we propose a nested optimization method integrating both controls. Combined with an initial solution localization strategy, this approach enhances wind farm power generation while significantly reducing optimization time. Wake distribution modeling incorporates dual-parameter Weibull-distributed inflow and a 3D Gaussian wake model to improve accuracy and reflect the effects of turbine yaw and vertical height variations on wake estimation. Finally, simulation studies conducted for an offshore wind farm in Southeast China’s sea area demonstrate that the proposed nested optimization strategy achieves better overall power enhancement.

Key words: wind farm, wind energy utilization efficiency; inter-turbine wake, yaw optimization, axial induction optimization

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