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

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.