基于改进FCM聚类算法的风电场等值建模研究  

Equivalent Modeling of Wind Farm Based on Improved FCM Clustering Algorithm

作　　者：苏剑涛 郑书婷 严干贵[2] 熊国专 蔡婷婷[2] SU Jiantao;ZHENG Shuting;YAN Gangui;XIONG Guozhuan;CAI Tingting(National Energy Group Longyuan Wind Power Engineering Technology Company,Beijing 100000,China;Northeast Dianli University,Jilin 132012,China)

机构地区：[1]国家能源集团龙源风电工程技术公司,北京100000 [2]东北电力大学,吉林吉林132012

出　　处：《智慧电力》2021年第10期68-74,共7页Smart Power

基　　金：国家自然科学基金资助项目(U1766204);国家重点研发计划项目(2017YFB0902004)。

摘　　要：考虑风电场中各机组接收到的风速、机械特性、控制特性等差异,以风速-功率作为聚类指标,并以隶属度-权值构成的多条件聚合约束对风电机组进行分群优化,结合尾流效应模型提出了改进FCM聚类算法的风电场等值建模方法。最后,以陕西某风电场实测数据为样本进行等值建模,验证了模型的准确性和有效性。Considering the differences in wind speed,mechanical characteristics,control characteristics of wind turbines in wind farm,wind speed-power is used as the clustering index,and the multiple conditions aggregation constraint composed of membership degreeweight is used to optimize the grouping of the wind turbines.The equivalent modeling method for the wind farm based on improved FCM clustering algorithm is proposed with weak effect model.Finally,the measured data of a wind farm in Shaanxi is used as a sample for equivalent modeling,verifying the accuracy and effectiveness of the model.

关 键 词：风电场 等值模型 改进FCM算法 尾流效应 

分 类 号：TM714[电气工程—电力系统及自动化]