A load classification framework based on VMD and singular value energy difference spectrum

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	A load classification framework based on VMD and singular value energy difference spectrum
	Chen, Shuo 2; Guo, Kunya 2; Zeng, Peng 1; Lv, Xunming 2; Jia, Zhida 2; Yang JY(杨俊友)2
	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
内容类型	会议论文
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.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 2.State Grid Liaoning Electric Power Co. Ltd., 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.