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ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (2): 415-423.DOI: 10.19912/j.0254-0096.tynxb.2020-0331

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基于激光雷达的风力机分离测风独立变桨控制策略

陈文婷, 张铂炅, 林勇刚, 李伟, 刘航, 顾亚京   

  1. 流体动力与机电系统国家重点实验室(浙江大学),杭州 310027
  • 收稿日期:2020-04-13 出版日期:2022-02-28 发布日期:2022-08-28
  • 通讯作者: 顾亚京(1990—),男,博士,主要从事海上风能、潮流能等新能源发电装备方面的研究。gsyajinggu@163.com
  • 基金资助:
    国家自然科学基金创新研究科学群体科学基金(51821093); 浙江省自然基金重点项目(LZ19E050001); 浙江省博后择优项目(zj2019020)

SEPARATED WIND MEASUREMENT INDIVIDUAL PITCH CONTROL OF WIND TURBINE BASED ON LIDAR

Chen Wenting, Zhang Bojiong, Lin Yonggang, Li Wei, Liu Hang, Gu Yajing   

  1. State Key Laboratory of Fluid Power & Mechatronic Systems(Zhejiang University), Hangzhou 310027, China
  • Received:2020-04-13 Online:2022-02-28 Published:2022-08-28

摘要: 在基于叶片根部载荷的PID独立变桨控制的基础上,引入激光雷达并提出优化的独立变桨控制方法。利用激光雷达可重建风力机前方风场信息的特点,对风力机前方风速进行提前测量。提出并使用统一风演化模型对所测数据进行二次处理,得到更贴近实际的叶轮中心风速,进一步使用所提出的分离测风方法对叶根载荷进行提前计算,根据载荷的计算值进行独立变桨控制。该方法可用于解决由于信号延迟、变桨执行机构延迟导致的风速与桨距角不匹配问题。在保证发电功率平稳的情况下,进一步减小风力机工作时的叶根载荷及轮毂不平衡载荷。使用TurbSim软件生成风模型,并采用Matlab/Simulink及FAST进行联合仿真。仿真结果表明,在额定风况下,不平衡载荷相较于传统独立变桨方法有8.07%~11.17%的减小量,阵风风况下可将冲击载荷峰值减小32.06%。

关键词: 风电机组, 激光雷达, 风速演化, 分离测风, 独立变桨

Abstract: Based on the traditional PID controller of individual pitch control(IPC), an optimized control method is proposed by introducing the lidar. The lidar can be used to reconstruct the characteristics of the wind field information in front of the wind turbine, predict the wind speed and direction in front of the totor in advance, and the measured data can be processed by using the unified wind evolution model to obtain the wind speed in the center of the totor that is closer to the reality. Furthermore, the method of separated wind measurement(SWM) proposed in this paper is used to calculate the blade root load in advance, and the blade root load is controlled by IPC according to the calculated value of load. This method is used to solve the problem of mismatch between wind speed and pitch angle caused by signal delay and rotor actuator delay. The blade root load and hub unbalance load can be further reduced under the condition of ensuring stable power generation. The wind model is generated with TurbSim software and co-simulated with Matlab/Simulink and FAST. The simulation results show that the unbalanced load can be reduced by 8.07% to 11.17% under the rated wind condition, and the peak load can be reduced by 32.06% under the gust wind condition.

Key words: wind turbines, lidar, atmospheric movements, separated wind measurement, individual pitch control

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