Design of power quality abnormal data identification and verification system

Sixu Huang; Guo Zhao; Jiang Guo; Wenqiang Zhu; Fang Yuan

doi:10.1117/12.2611725

14 October 2021 Design of power quality abnormal data identification and verification system

Sixu Huang, Guo Zhao, Jiang Guo, Wenqiang Zhu, Fang Yuan

Proceedings Volume 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation; 119301Z (2021) https://doi.org/10.1117/12.2611725
Event: International Conference on Mechanical Engineering, Measurement Control, and Instrumentation (MEMCI 2021), 2021, Guangzhou, China

Abstract

Aiming at the problem that abnormal data in the data set greatly reduces the quality of data, this paper studies several existing mainstream methods of abnormal data identification and verification, and selects three kinds of abnormal data detection methods according to the characteristics of power quality basic data, including setting threshold discrimination method, data horizontal comparison method and improved K-MEANS algorithm. This paper also designs the power quality abnormal data identification and verification system, using the above three methods to identify and verify the power quality abnormal data.

Citation Download Citation

Sixu Huang, Guo Zhao, Jiang Guo, Wenqiang Zhu, and Fang Yuan "Design of power quality abnormal data identification and verification system", Proc. SPIE 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation, 119301Z (14 October 2021); https://doi.org/10.1117/12.2611725

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