中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A load classification framework based on VMD and singular value energy difference spectrum

文献类型:会议论文

作者Chen, Shuo1; Guo, Kunya1; Zeng, Peng2; Lv, Xunming1; Jia, Zhida1; Yang JY(杨俊友)1
出版日期2019
会议日期May 27-31, 2019
会议地点Nanjing, China
关键词VMD energy difference spectrum load classification compactness
页码398-402
英文摘要High load data dimension and insufficient sample characteristics challenge the load clustering accuracy. For this challenge, this paper proposes a load analysis method based on variational mode decomposition (VMD) and the energy difference spectrum of singular value (EDSSV). Firstly, the load data is decomposed by VMD algorithm. Simultaneously, the lowest frequency intrinsic function in the decomposition results is selected for EDSSV. The decomposition manifests load sample characteristics and reduces the load data dimension. Furthermore, the singular value is used to obtain an energy difference spectrum curve by EDSSV, which converts curve features to energy features and reduces the amount of data. The k-means clustering result of the original sample and the result of the energy difference spectrum curve are compared through compactness index. Compared with the k-means method, the result of clustering index CP with the proposed method is reduced by 0.0627, which shows that the clustering accuracy is improved. Also, the load data dimension is reduced by about 80%.
源文献作者Global Energy Interconnection Research Institute ; North China Electric Power University
产权排序2
会议录Proceedings - IEEE International Conference on Energy Internet, ICEI 2019
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-7281-1493-4
源URL[http://ir.sia.cn/handle/173321/25617]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Chen, Shuo
作者单位1.State Grid Liaoning Electric Power Co. Ltd., Shenyang, China
2.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Chen, Shuo,Guo, Kunya,Zeng, Peng,et al. A load classification framework based on VMD and singular value energy difference spectrum[C]. 见:. Nanjing, China. May 27-31, 2019.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。