为提升风电场整体功率同时又不额外增加机组载荷,提出一种新型的风电场协同控制方法。在该方法中,控制变量被设置为叶片桨距角,桨距角动作带来的流场变化通过解析式尾流模型来实时模拟,各机组的最佳变桨角度则采用差分进化算法迭代优化得到。在平均风速8 m/s、湍流强度8%的动态模拟结果表明,相较于传统的单机最优控制策略,基于主动变桨的协同控制方法能将3台机组串列排布的风电场整体发电量提升10%以上,同时显著降低叶片载荷。研究结果充分说明该文提出的基于主动变桨的风电场协同控制方法具有一定的实际应用价值。
Abstract
In order to increase the overall power of wind farm without increasing the unit load, a cooperative control method based on active variable pitch is proposed in this paper. In this method, pitch angle is used as the control variable of cooperative control. The analytical wake model is used to simulate the flow field in a wind farm in real time. Differential evolution algorithm is used to optimize the optimum pitch angle of plant units. In a dynamic wind environment with an average wind speed of 8 m/s and turbulence intensity of 8%, the simulation shows that compared with the traditional single-unit optimal control strategy, the cooperative control method based on active pitch variation can increase the overall power generation of a wind farm with three units in tandem by more than 10%, while significantly reducing blade load. The research results fully show that the wind farm cooperative control method based on active variable pitch has certain practical application value.
关键词
风电场 /
协同控制 /
桨距角 /
尾流模型 /
优化算法
Key words
wind farm /
cooperative control /
pitch /
wake model /
optimization algorithm
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基金
中国长江三峡集团有限公司科研项目（202103506）
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