Article: Research on low voltage current transformer power measurement technology in the context of cloud computing Journal: International Journal of Data Mining and Bioinformatics (IJDMB) 2024 Vol.28 No.3/4 pp.287 - 302 Abstract: As IOT develops drastically these years, the application of cloud computing in many fields has become possible. In this paper, we take low-voltage current transformers in power systems as the research object and propose a TCN-BI-GRU power measurement method that incorporates the signal characteristics based on the transformer input and output. Firstly, the basic signal enhancement extraction of input and output is completed by using EMD and correlation coefficients. Secondly, multi-dimensional feature extraction is completed to improve the data performance according to the established TCN network. Finally, the power prediction is completed by using BI-GRU, and the results show that the RMSE of this framework is 5.69 significantly lower than other methods. In the laboratory test, the device after being subjected to strong disturbance, its correlation coefficient feature has a large impact, leading to a large deviation in the prediction, which provides a new idea for future intelligent prediction. Inderscience Publishers - linking academia, business and industry through research

Title: Research on low voltage current transformer power measurement technology in the context of cloud computing

Authors: Chao Yan; Peng Tao; Hongxi Wang; Chunrui Li; Yushuai Zhang

Addresses: Marketing Service Center of State Grid Hebei Electric Power Co., Shijiazhuang 050035, Hebei, China ' Marketing Service Center of State Grid Hebei Electric Power Co., Shijiazhuang 050035, Hebei, China ' Marketing Service Center of State Grid Hebei Electric Power Co., Shijiazhuang 050035, Hebei, China ' Marketing Service Center of State Grid Hebei Electric Power Co., Shijiazhuang 050035, Hebei, China ' Marketing Service Center of State Grid Hebei Electric Power Co., Shijiazhuang 050035, Hebei, China

Abstract: As IOT develops drastically these years, the application of cloud computing in many fields has become possible. In this paper, we take low-voltage current transformers in power systems as the research object and propose a TCN-BI-GRU power measurement method that incorporates the signal characteristics based on the transformer input and output. Firstly, the basic signal enhancement extraction of input and output is completed by using EMD and correlation coefficients. Secondly, multi-dimensional feature extraction is completed to improve the data performance according to the established TCN network. Finally, the power prediction is completed by using BI-GRU, and the results show that the RMSE of this framework is 5.69 significantly lower than other methods. In the laboratory test, the device after being subjected to strong disturbance, its correlation coefficient feature has a large impact, leading to a large deviation in the prediction, which provides a new idea for future intelligent prediction.

Keywords: cloud computing; low voltage current transformer; power prediction; empirical mode decomposition; EMD; gated recurrent unit; GRU.

DOI: 10.1504/IJDMB.2024.139457

International Journal of Data Mining and Bioinformatics, 2024 Vol.28 No.3/4, pp.287 - 302

Received: 04 Apr 2023
Accepted: 19 Sep 2023
Published online: 02 Jul 2024 *

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Title: Research on low voltage current transformer power measurement technology in the context of cloud computing

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