Paper
12 December 2024 Relative error deviation analysis technology of wide-area group transformer
Huan Wang, Songhui Zhang, Bolun Du, Tao Liu
Author Affiliations +
Proceedings Volume 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024); 134192S (2024) https://doi.org/10.1117/12.3050266
Event: Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 2024, Lhasa, China
Abstract
In the realm of electrical energy metering, the accuracy and reliability of current transformers (CTs) and potential transformers (PTs), collectively referred to as instrument transformers, are paramount to safeguarding the economic interests of power suppliers, transmitters, and consumers. Traditionally, post-installation verification of these transformers' error rates necessitates system downtime, which poses significant operational challenges. To address this issue, this paper introduces a novel analytical approach for evaluating the relative error deviations of a wide array of instrument transformers within a power grid. By conceptualizing transmission lines as passive two-terminal networks, and leveraging the inherent stability of transformer errors over short periods, the method employs partial derivatives to determine the sensitivity of transformer error coefficients to variations in line parameters. Furthermore, the methodology proposes the selection of a specific transformer segment as a reference standard, enabling the calculation of relative error magnitudes for transformers located at substations across the line. The validity of the model was substantiated through ATP (Alternative Transients Program) simulations, which demonstrated its capability to predict the relative error deviations of instrument transformers across a broad geographical scope.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Huan Wang, Songhui Zhang, Bolun Du, and Tao Liu "Relative error deviation analysis technology of wide-area group transformer", Proc. SPIE 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 134192S (12 December 2024); https://doi.org/10.1117/12.3050266
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KEYWORDS
Transformers

Error analysis

Simulations

Lawrencium

Equipment

Reflection

Systems modeling

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