针对风电机组传统的独立变桨PI控制减载效果不佳、控制参数难以选择的问题,该文以NREL 5 MW风电机组作为研究主体,提出基于改进麻雀搜索算法的独立变桨PI控制参数和主动阻尼增益优化的方法。首先,基于叶根载荷与叶尖加速度建立独立变桨主动阻尼控制策略模型;其次,通过正交实验法对PI控制参数和主动阻尼增益进行初值整定,并为实现PI控制参数和主动阻尼增益的协调优化,以减少机组不平衡载荷和稳定功率为目标,基于改进麻雀搜索算法（ISSA）优化独立变桨PI控制参数和主动阻尼增益。最终将所提方法与传统的独立变桨控制策略、独立变桨主动阻尼控制方法以及基于麻雀搜索算法（SSA）的独立变桨主动阻尼控制方案进行详细的比较与解析。结果表明：通过改进后的麻雀搜索算法优化的控制参数被应用于独立变桨主动阻尼控制策略中,此方法可增强风电机组对不平衡负载的抑制能力,使输出功率更加稳定。
Abstract
In view of the problem that the traditional independent pitch PI control of wind turbines has poor load reduction performance and is difficult to select control parameters. In this paper, the NREL 5 MW wind turbine is taken as the research object, and an independent pitch PI control parameter and active damping gain optimization method based on the improved sparrow search algorithm are proposed. Firstly, based on the blade root load and blade tip acceleration, an independent pitch active damping control strategy model was established. Secondly, the PI control parameters and active damping gain were initially set by orthogonal experimental method, and in order to realize the coordinated optimization of PI control parameters and active damping gain, with the goal of reducing the asymmetric loads and stable power of the unit, the PI control parameters and active damping gain of independent pitch were optimized based on the improved sparrow search algorithm （ISSA）. Finally, the results are compared with the results of traditional independent pitch control, independent pitch active damping control and independent pitch active damping control based on the sparrow search algorithm （SSA）. The results show that the independent pitch active damping control strategy with optimized control parameters by improving the sparrow search algorithm can better mitigate asymmetric loads of wind turbines and make the output power more stable.
关键词
风电机组 /
阻尼 /
优化 /
独立变桨控制 /
麻雀搜索算法
Key words
wind turbines /
damping /
optimization /
independent pitch control /
sparrow search algorithm
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基金
辽宁省揭榜挂帅科技攻关专项（2021JH1/10400009）
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