电测与仪表2018，Vol.55Issue(11)：45-51,7.
利用S变换局部奇异值的同调机组识别方法
Coherency identification method using S-transform and local singular value decomposition
摘要
Abstract
A new method of coherency identification using S-transform and local singular value decomposition (SVD) is proposed in this paper.Time-frequency information matrix of each generator is obtained by S-transform of power angle information,which is obtained by WAMS.The maximum singular value of each sub-block is calculated,which is divided by the time-frequency information matrix.The coherency recognition feature matrix is constructed by the maximum singular value of each sub-block,and the coherency grouping is carried out by distributed clustering method.The example of IEEE-39 node system shows that this method can accurately identify coherent generators under different fault types with the characteristic of extracting the valid information of power-angle rocking curve effectively because of its strong anti-noise robustness.关键词
广域测量系统/同调机组/S变换/分布聚类法Key words
wide area measurement system/coherent generator/S-transform/distributed clustering method分类
信息技术与安全科学引用本文复制引用
倪艳荣,徐珂,王卫东..利用S变换局部奇异值的同调机组识别方法[J].电测与仪表,2018,55(11):45-51,7.基金项目
河南省教育厅科学技术研究重点项目(12A470002) （12A470002）
