适应风电场宽频振荡研究的模糊度量层次聚类法  

Fuzzy Metric Hierarchical Clustering Method for Wind Farm Wideband Oscillation Research

作　　者：宋锐 甘嘉田 王泽嘉 许德操 白左霞 韩民晓[2] SONG Rui;GAN Jiatian;WANG Zejia;XU Decao;BAI Zuoxia;HAN Minxiao(State Grid Qinghai Electric Power Company,Xining 810008;School of Electrical and Electronics Engineering,North China Electric Power University,Beijing 102206)

机构地区：[1]国网青海省电力公司,西宁810008 [2]华北电力大学电气与电子工程学院,北京102206

出　　处：《电气工程学报》2024年第1期261-271,共11页Journal of Electrical Engineering

基　　金：国家电网公司科技资助项目(SGQHDKYODWJS2100138)。

摘　　要：为助力“双碳”目标实现,推动风电产业发展,研究并治理风电场并网宽频振荡问题迫在眉睫。为建立适用于风电场振荡研究且能准确高效反映实际风电场输出特性的仿真模型,提出基于模糊度量的层次聚类法,改善传统综合层次聚类算法使用距离度量造成的聚类结果偏移。利用F检验法定量评价聚类效果,横向比较F评分确定最优聚类方案,纵向比较确定最优聚类分群数。评价结果表明,模糊度量层次聚类法的聚类效果良好。最后采用PSCAD结合青海省海南新能源基地风电场实例进行了仿真分析,验证了模糊度量层次聚类法对风电场聚类的适用性。On account of the pressing goal of“carbon peaking and carbon neutrality”,it is extremely urgent to develop wind power and study the broadband oscillation problem of wind farm connected to the grid.With the purpose of establishing a simulation model suitable for wind farm oscillation research,which is able to accurately and efficiently reflect the actual wind farm output characteristics,a fuzzy hierarchical clustering method is proposed that improves the clustering result offset caused by distance measurement in traditional balanced iterative reducing and clustering using hierarchies.Besides,F test is used to evaluate the clustering effect quantitatively,and F score can be used to horizontally compare to determine the optimal cluster number and longitudinal comparison to determine the optimal clustering scheme.Compared with traditional clustering method,fuzzy metric hierarchical clustering method has the highest F score.Finally,a wind farm simulation example consisting of 25 wind turbines with actual parameters in PSCAD is set up,and the conclusion is obtained that the most suitable clustering method for wind farms is fuzzy metric hierarchical clustering method.

关 键 词：风电场 宽频振荡 模糊度量层次聚类 F检验 聚类评价 

分 类 号：TM614[电气工程—电力系统及自动化]