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
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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
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