基于ASW-FCM算法的风电场动态等效建模与仿真  

Dynamic Equivalent Modeling and Simulation of Wind Farm Based on ASW-FCM Algorithm

作　　者：李牡丹[1,2] 王印松[2] Li Mudan;Wang Yinsong(Science&Technology College,North China Electric Power University,Baoding 071000,China;College of Control and Computer Engineering,North China Electric Power University,Baoding 071000,China)

机构地区：[1]华北电力大学科技学院,河北保定071000 [2]华北电力大学控制与计算机工程学院,河北保定071000

出　　处：《系统仿真学报》2020年第8期1606-1616,共11页Journal of System Simulation

基　　金：国家自然基金联合基金(U1709211);中央高校基本科研业务费专项资金面上项目(2020MS148)。

摘　　要：针对直驱永磁风电机组风电场,提出一种新的动态等效建模方法。考虑风电机组间的尾流效应和风向变化计算有效输入风速,分析机组的运行特性,以反映机组运行特征的有效风速、转速、桨距角和输出功率为多分群指标。考虑机组间运行状况的差异性和关联性,设计自适应样本定权的模糊聚类算法(Adaptive Sample Weighting Fuzzy C-means,ASW-FCM)对风电场进行最优聚类分群。根据等效前后机组输出特性不变的原则建立聚类风电机群的等效模型。以某实际风电场系统作为算例进行建模仿真,验证所提等效建模方法的合理性和准确性。A new dynamic equivalent modeling method is proposed for the wind farm of directly-driven wind turbine with permanent magnet synchronous generator(D-PMSG).The wake effect and wind direction change between multiple wind turbines are considered to calculate the effective input wind speed,the effective wind speed,rotor speed,pitch angle and output power are selected as the multi-group indicators after analyzing the wind turbine operating characteristics.Considering the differences and relevance of the operating conditions between the turbines,an adaptive sample weighting fuzzy C-means clustering algorithm(ASW-FCM)is designed to optimally cluster the wind farm.The clustered wind turbine group equivalent model is established based on the principle that the output characteristics before and after the equivalence are equal.A wind farm system is selected as the example of modeling and simulation to verify the rationality and accuracy of the equivalent modeling method.

关 键 词：直驱永磁风电机组 风电场 样本定权 聚类分群 等效建模 

分 类 号：TM621[电气工程—电力系统及自动化]