CVT error evaluation method based on moving window-weighted principal component analysis

Huan Wang; Bolun Du; Songhui Zhang; Banghai Yu

doi:10.1117/12.3030292

5 June 2024 CVT error evaluation method based on moving window-weighted principal component analysis

Huan Wang, Bolun Du, Songhui Zhang, Banghai Yu

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 1316377 (2024) https://doi.org/10.1117/12.3030292
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

The capacitive voltage transformer is an important metering device in power systems, the principal element analysis method has certain limitations in the error evaluation of capacitive voltage transformer (CVT), and this paper proposes an adaptive evaluation method based on moving window-weighted principal component analysis (PCA). This method combines the ideas of moving window PCA and exponential weighted PCA, which can adaptively update the evaluation model and achieve state evaluation of CVT. The moving window-weighted PCA method can effectively identify abrupt and gradual errors, which is more suitable for long-term CVT error monitoring.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Huan Wang, Bolun Du, Songhui Zhang, and Banghai Yu "CVT error evaluation method based on moving window-weighted principal component analysis", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 1316377 (5 June 2024); https://doi.org/10.1117/12.3030292

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