摘要
针对已有的风电场,往往通过偏航控制来提升风电场中整体功率输出,却忽略了风力机的启停与偏航协同控制,不能最大限度地提升风电场的功率输出。基于偏尾流叠加模型,并通过实例验证了该模型的准确性,采用随机数[0,1]分布来控制风电场中的风力机的启停状态,提出了一种基于启停与偏航同步控制的风电场布局优化。该策略以Chapman Ranch风电场最大功率输出为目标函数,结合风电场的风资源数据,利用粒子群算法分别对风电场启停、偏航控制和启停与偏航同步控制这3种模型进行优化。研究结果表明:考虑偏航控制时,风电场单风况功率提升为11.9%;以启停与偏航同步控制时,风电场单风况功率提升可达17.7%。研究结果对于如何提高已有风电场的整体功率输出具有一定的理论指导意义。
In existing wind farms,the overall power output of the wind farm can be increased by yaw controlling.However,the start/stop and yaw cooperative control of the wind turbine is often not considered which does not maximize the power output of the wind farm.A wind farm layout optimized method was proposed considering start/stop and yaw synchronization control based on the improved three-dimensional wake model and yaw flow superposition model.The start/stop state of wind turbines in the wind farm can be controlled by using random number[0,1]distribution.The maximum power output of Chapman Ranch wind farm was took as the objective function,and combines the wind resource data of the wind farm to optimize three wind farm layout models(wind farm start-stop,yaw controlling,start-stop and yaw integrated control)using particle swarm algorithm.According to the results of the study,the power output of the wind farm is increased by 11.9%considering yaw controlling.However,the power output of the wind farm can be increased by 17.7%with start-stop and yaw integrated optimized.This study is an important guidance for how to improve the overall power output of existing wind farms.
作者
汪泉
张照港
徐唐杰
柳柏杨
WANG Quan;ZHANG Zhao-gang;XU Tang-jie;LIU Bo-yang(School of Mechanical Engineering,Hubei University of Technology,Wuhan 430068,China)
出处
《科学技术与工程》
北大核心
2024年第34期14666-14671,共6页
Science Technology and Engineering
基金
国家自然科学基金(51975190)
湖北工业大学优秀青年基金(XJ2021001201)。
关键词
三维偏尾流模型
启停与偏航
风电场布局
粒子群算法
3D-wake model
stop-start and yaw
wind farm layup
PSO(partical swarm optimization)
