摘要
为降低尾流效应对风电场内风电机组输出功率和所受载荷影响,分析了风电机组运行状态与尾流分布、功率输出、载荷损耗之间关系,提出一种考虑尾流效应与载荷损耗的风电场优化控制模型。针对控制模型维数高,耦合参数多的问题,采用一种基于改进非线性收敛因子和引入混合蛙跳算法最差蛙位置改变策略的改进鲸鱼优化算法(IWOA);以模型轴向诱导因子为控制变量,功率输出最大和载荷损耗最小为目标函数,对丹麦Horns Rev1风电场进行仿真分析。结果表明,所提优化控制方法可有效提高风电场输出功率,降低风电机组载荷损耗。
In order to reduce the impact of wake effects on the output power and load of wind turbine in wind farm,the relationship between the wind turbine operating status and the wake distribution,power output and load loss is analyzed and a wind farm optimal control model considering wake effect and load loss is proposed.To solve the problems of high dimensionality of control model and multiple coupling parameters,an improved whale optimization algorithm(IWOA)based on improved nonlinear convergence factor and the worst frog position change strategy introduced by the hybrid leapfrog algorithm is adopted.Taking the model axial induction factor as control variable,and the maximum power output and the minimum load loss as objective functions,the Danish Horns Rev1 wind farm as a study case is simulated by the proposed control model.The results show that the proposed optimization control method can effectively increase the power output of wind farm and reduce the load loss of wind turbine.
作者
樊小朝
陈景
史瑞静
王维庆
FAN Xiaochao;CHEN Jing;SHI Ruijing;WANG Weiqing(Engineering Research Center of Education Ministry for Renewable Energy Power Generation and Grid Technology(Xinjiang University),Urumqi 830047,Xinjiang,China)
出处
《水力发电》
CAS
2021年第10期89-94,99,共7页
Water Power
基金
国家自然科学基金项目(51666017)。
关键词
尾流效应
鲸鱼优化算法
载荷损耗
优化控制
风电场
wake effect
whale optimization algorithm
load loss
optimal control
wind farm
