Error characteristics research and parameter optimization design for the electronic capacitive voltage transformers

Author

Wang, Hongxing ; Zhang, Guoqing ; Cai, Xingguo ; Guo, Zhizhong

Author_Institution

Dept. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China

fYear

2009

fDate

6-7 April 2009

Firstpage

1

Lastpage

6

Abstract

In order to further improve the sensor design of electronic capacitive voltage transformer (ECVT) based on capacitive voltage divider, after establishing the complete mathematical model of ECVT, the article presents the idea of using the complete mathematical model of ECVT capacitive voltage divider to analyze its error characteristics and optimize the design parameters based on the definition of transient and steady-state error. Takes the designed 220 kV-ECTV system for example, the paper comprehensive analyze the transient and steady state error of three-phase ECVT from the point of view of practice running environment. The simulation and calculation results suggest that the comprehensive performance of ECVT is best, the precision can reach to 0.2 grade and the material can be save effectively, when the main capacitance of ECVT reaches 3500 pF.

Keywords

error analysis; potential transformers; voltage dividers; voltage measurement; electronic capacitive voltage transformers; error analysis; error characteristics research; parameter optimization design; voltage divider; Capacitance; Design optimization; Electromagnetic interference; Electromagnetic measurements; Power system measurements; Power system protection; Power transformer insulation; Temperature sensors; Transient analysis; Voltage transformers; Capacitive voltage divider; Electronic capacitive voltage transformer; Error Analysis; Parameters optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-4934-7

Type

conf

DOI

10.1109/SUPERGEN.2009.5347975

Filename

5347975