Two-stage PMU Data Compression for Edge Computing Devices of Distribution Networks

被引：0
|
作者：
Xi W. [1 ]
Li P. [2 ]
Li P. [2 ]
Yao H. [2 ]
Chen J. [2 ]
Yang J. [1 ]
Yu H. [1 ]
机构：
[1] Key Laboratory for Smart Grid, The Ministry of Education, Tianjin University, Nankai District, Tianjin
[2] Digital Grid Research Institute, China Southern Power Grid, Guangdong Province, Guangzhou
来源：
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 08期
关键词：
data compression; distribution networks; edge computing; exception-swing door trending; exponential-Golomb coding; synchronous phasor measurements;
D O I：
10.13335/j.1000-3673.pst.2022.0554
中图分类号：
学科分类号：
摘要：
Due to the high sampling rate of the distribution phasor measurement units, massive data is generated and puts a huge strain on the communication and storage systems. Considering the limited computing and storage resources of the edge computing devices in the distribution networks, a data compression method of the distribution phasor measurements based on the exception-swing door trending and the exponential-Golomb code is proposed. First, the swing door trending criterion is modified. By using the improved exception-swing door trending algorithm, the original phasor measurements are lossily compressed. Then, the lossily compressed data is pre-processed, including differential coding and normalization. The 0-order exponential-Golomb coding is used to losslessly compressed to further reduce the data redundancy. Finally, the method is tested based on the practical distribution phasor measurements. Compared with the separate exception-swing door trending algorithm, this method achieves a higher compression ratio while maintaining the same reconstruction data accuracy. © 2023 Power System Technology Press. All rights reserved.
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页码：3184 / 3192
页数：8
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