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基于CVT宽频传递模型的杂散电容分步辨识方法

刘坤雄 张小庆 赵铭 徐磊 雷妤航 关霄 段建东

高压电器2023,Vol.59Issue(12):55-62,74,9.
高压电器2023,Vol.59Issue(12):55-62,74,9.DOI:10.13296/j.1001-1609.hva.2023.12.007

基于CVT宽频传递模型的杂散电容分步辨识方法

Stepwise Identification Method of Stray Capacitance Based on Wideband Transfer Model of CVT

刘坤雄 1张小庆 1赵铭 2徐磊 1雷妤航 1关霄 2段建东2

作者信息

  • 1. 国网陕西省电力有限公司电力科学研究院,西安 710100
  • 2. 西安理工大学电气工程学院,西安 710054
  • 折叠

摘要

Abstract

Stray capacitance is a key factor causing complex variations in the wideband transfer characteristics of ca-pacitor voltage transformer(CVT).The value of its parameter cannot be obtained by direct measurement and the ac-quisition of the stray capacitance is always a challenge.A stepwise identification method of stray capacitance based on wideband transfer model of CVT is proposed in the paper.The parameter identification of multiple stray capaci-tance is performed in two steps,leveraging the resonance mechanism of CVT and minimizing the voltage ratio error at each resonance point as the objective.A multi-objective gray wolf optimization algorithm has been employed for this purpose.A practical example test shows that the proposed method can achieve the identification of stray capacitance parameters in the wideband transfer model only in accordance with the CVT resonant ratios and has a small identifi-cation error,which providing theoretical guidance for the setting up accurately the wideband circuit model of CVT and further laying the foundation for the measurement of transient voltage.

关键词

电容式电压互感器/杂散电容/宽频传递模型/多目标灰狼优化算法/分步辨识

Key words

capacitor voltage transformer/stray capacitance/wideband transfer model/multi-objective gray wolf optimizer/stepwise identification

引用本文复制引用

刘坤雄,张小庆,赵铭,徐磊,雷妤航,关霄,段建东..基于CVT宽频传递模型的杂散电容分步辨识方法[J].高压电器,2023,59(12):55-62,74,9.

基金项目

国家电网有限公司科技创新项目(5700-202132199A-0-0-00).Project Supported by Science and Technology Project of State Grid Corporation of China(5700-202132199A-0-0-00). (5700-202132199A-0-0-00)

高压电器

OA北大核心CSCDCSTPCD

1001-1609

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