融合时空相关性和权重系数分配的风电机组出力异常值处理方法  

Outlier Processing Method for Wind Turbine Output Integrated With Spatiotemporal Correlation and Weight Coefficient Distribution

作　　者：张晓英[1] 段赛赛 张兴平 罗童 王晓兰[1] ZHANG Xiaoying;DUAN Saisai;ZHANG Xingping;LUO Tong;WANG Xiaolan(College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China;State Grid Dingxi Power Supply Company,Dingxi 743000,Gansu Province,China)

机构地区：[1]兰州理工大学电气工程与信息工程学院,兰州市730050 [2]国网定西供电公司,甘肃省定西市743000

出　　处：《电力建设》2024年第6期100-110,共11页Electric Power Construction

基　　金：国家自然科学基金资助项目(61963024)。

摘　　要：大规模弃风现象会造成大量限电异常值,限电异常值会严重影响并网电力系统的稳定性。采用四分位法和灰狼优化箱线图算法(grey wolf optimized boxplot algorithm,GWO-Boxplot)对风电场中各风电机组限电和离散等异常值进行自适应识别与精细划分。针对风电机组输出功率在时空上存在一定相关性,提出了一种融合时空相关性和权重系数分配的风电机组异常值处理方法,对历史功率填补数据和空间相关填补数据进行权重系数分配并加权求和,最后通过分形插值算法对曲线进行拟合。利用某座集群风电场中各风电机组实际出力数据对所提方法进行验证,仿真结果表明所提方法对异常值剔除率及拟合精度有明显提升效果。Large-scale wind curtailment results in several power-limiting outliers,which significantly affect the voltage problems caused by the grid connection,frequency modulation,and stability of the power system.In this study,the grey wolf-optimized boxplot algorithm(GWO-boxplot)is optimized for the adaptive identification and fine division of powerlimiting and discrete outliers of each wind turbine in a wind farm.Considering the existence of a certain correlation between the output power of wind turbines in time and space,a wind turbine outlier processing method that integrates spatial and temporal correlations and weight coefficient distribution is proposed.The weight coefficients of the historical power-filling data and the spatial-correlation filling data were assigned,and a weighted summation was performed for outlier processing.Finally,the curves were fitted using a fractal interpolation algorithm.The proposed method was verified using the actual output data of each wind turbine in a cluster wind farm.Simulation results show that the proposed method can significantly improve the recognition and fitting accuracy of outliers.

关 键 词：限电异常值 风电机组 时空相关性 权重系数分配 分形插值 

分 类 号：TM614[电气工程—电力系统及自动化]