考虑约束变化的风电场尾流优化  

Wake Optimization Considering Constraint Change in Wind Farms

作　　者：张磊 姜贞强 袁建平 周胡 陆艳艳 汤雨葭 项基[2] ZHANG Lei;JIANG Zhenqiang;YUAN Jianping;ZHOU Hu;LU Yanyan;TANG Yujia;XIANG Ji(Huadong Engineering Corporation Limited,Hangzhou 311122,Zhejiang Province,China;College of Electrical Engineering,Zhejiang University,Hangzhou 310027,Zhejiang Province,China)

机构地区：[1]中国电建集团华东勘测设计研究院有限公司,浙江省杭州市311122 [2]浙江大学电气工程学院,浙江省杭州市310027

出　　处：《现代电力》2023年第6期872-878,共7页Modern Electric Power

基　　金：国家自然科学基金资助项目(62173295)。

摘　　要：新能源电站投资巨大,故发电效率非常重要。尾流效应是影响风电场发电效率的重要因素,然而现有的尾流优化算法忽略了风速变化对叶尖速比(tip speed ratio,TSR)调节范围的影响,这可能导致优化结果实际无法实现。考虑到处于尾流区域内的风机,其优化变量可行区间将随前排风机的优化而变动,论文对此变动进行了建模,并提出了一种考虑约束变动的优化算法以提高风电场尾流优化的准确性。通过对比有无考虑约束变化的两种算法在相同环境下的仿真结果,验证了所提算法的有效性。The investment in new energy power stations is vast,so the power generation efficiency is critical.The wake effect is an important factor affecting the power generation efficiency of wind farms.However,the existing wake optimization algorithms ignore the influence of wind speed change on the regulation range of tip speed ratio(TSR),which may lead to the actual failure of optimization results.Considering that the feasible interval of the optimization variables of the turbine in the wake area will change with the optimization of the front turbines.This paper models that change and proposes an optimization algorithm considering the constraint change to improve the accuracy of the wake optimization of the wind farm.The effectiveness of the proposed algorithm is verified by comparing the simulation results of the two algorithms with or without constraint changes in the same environment.

关 键 词：尾流效应 风电场 Jensen尾流模型 功率优化 约束变动 

分 类 号：TM73[电气工程—电力系统及自动化]