IDEAS home Printed from https://ideas.repec.org/a/hin/complx/1155443.html
   My bibliography  Save this article

Studying the Effect of Stray Capacitance on the Measurement Accuracy of the CVT Based on the Boundary Element Method

Author

Listed:
  • Chuan Xiang
  • Xinwei Chen
  • Hongge Zhao
  • Zejun Ren
  • Guoqing Zhao
  • Xiaoqing Bai

Abstract

The capacitive voltage transformer (CVT) is a special measuring and protecting device, which is commonly applied in high-voltage power systems. Its measurement accuracy is affected seriously by the stray capacitances of the capacitance voltage divider (CVD) to ground and other charged parts. In this study, based on the boundary element method, a mathematical model was established firstly to calculate the stray capacitance. Then, the voltage distribution of the CVD was obtained by the CVD’s equivalent circuit model. Next, the effect of stray capacitance on the voltage distribution and the voltage difference ratio (VDR) of CVD was analysed in detail. We finally designed three types of shield and optimized their structure parameters to reduce VDR. The results indicated that the average deviation rate between calculated and experimental measured voltages is only 0.015%; that is to say, the method has high calculation precision. The stray capacitance of the CVD to ground is far larger than that of the CVD to the high-voltage terminal. It results in the inhomogeneous distribution of voltage and the increase of VDR. For the test CVT, its VDR exceeds the requirement of class 0.2. Among all of the three types of shield, the C type reduced the VDR of the test CVT the most. After optimizing the structure parameters of C-type shield, the VDR is further reduced to 0.08%. It is not only in accord with the requirement of class 0.2 but also has an adequate margin.

Suggested Citation

  • Chuan Xiang & Xinwei Chen & Hongge Zhao & Zejun Ren & Guoqing Zhao & Xiaoqing Bai, 2021. "Studying the Effect of Stray Capacitance on the Measurement Accuracy of the CVT Based on the Boundary Element Method," Complexity, Hindawi, vol. 2021, pages 1-11, May.
  • Handle: RePEc:hin:complx:1155443
    DOI: 10.1155/2021/1155443
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/1155443.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2021/1155443.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/1155443?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:1155443. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.