Error Analysis and Correction of Partial Discharge Quantity Measurement of Transformer Windings

被引：0

作者：

Yang Y. ^{[1
]}

Shu T. ^{[1
]}

Wu J. ^{[1
]}

Zhang R. ^{[2
]}

Zhao Z. ^{[1
]}

Meng X. ^{[1
]}

Zhang X. ^{[1
]}

Li J. ^{[1
]}

机构：

[1] State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an

[2] College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan

来源：

Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2022年 / 56卷 / 10期

关键词：

IEC60270; standard; intelligent algorithm; partial discharge (PD); PD location; power transformer;

D O I：

10.7652/xjtuxb202210012

中图分类号：

学科分类号：

摘要：

This paper proposes a distributed capacitance network model for partial discharge (PD) of transformers -with a coupling capacitor to analyze and correct the apparent discharge quantity measurement error resulting from the longitudinal distributive capacitance and the attenuation of transformer windings during PD quantity measurement of power transformer according to 1EC60270. The variation of PD quantity measured with the change of the discharge position at the end of the transformer winding is quantified by an analytical method. Then, based on the intelligent inverse algorithm of the winding equivalent RLC network, a winding PD frequency-spectrum localization method and a novel PD measurement error correction algorithm are proposed, and their theoretical basis and operation process are introduced. An equivalent RLC network model is constructed as a research example based on the simulation results of the electrical parameters of a transformer winding, and the proposed correction method is applied. The results show that the error of PD quantity before correction grows larger with the PD location away from the measuring point, and the maximum error reaches near 90%. However, the error after correction is reduced by an order of magnitude, which has verified the feasibility of the proposed correction method and provided a basis for its further application on real transformers. © 2022 Xi'an Jiaotong University. All rights reserved.

引用

页码：122 / 129

页数：7

共 17 条

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