Online metering performance evaluation of capacitor voltage transformer based on principal component analysis

被引：0
|
作者：
Han H. [1 ]
Zhang Z. [2 ]
Wang H. [1 ]
Li H. [2 ]
Xue J. [1 ]
Shao L. [1 ]
机构：
[1] Metrology Center of State Grid Shanxi Electric Power Company, Taiyuan
[2] School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2019年 / 39卷 / 05期
关键词：
Capacitor voltage transformer; Errors; Metering performance; Online evaluation; Principal component analysis;
D O I：
10.16081/j.issn.1006-6047.2019.05.030
中图分类号：
学科分类号：
摘要：
The error stability of CVT(Capacitive Voltage Transformer) is not high in the operation process, and the metering error is easy to be out of tolerance, which directly affects the accuracy of electric power metering. The exis-ting off-line calibration methods using standard voltage transformer can not meet the requirements of intelligent substation for on-line monitoring of key equipment due to their problems such as over inspection, under inspection and so on. A metering performance evaluation method of CVT is proposed based on principal component analysis. The secondary analog signals of three-phase CVT are collected. The metering deviations caused by the primary signal fluctuations of power grid and the anomaly of CVT itself are separated by using the principal component analysis method. The characteristic statistics of measured data in the operation process are extracted, and the metering performance of CVT is evaluated by analyzing the change of statistics. The experimental results show that the proposed method can accurately monitor the metering deviation of CVT with class 0.2 and achieve accurate measurement performance evaluation of in-service CVT. © 2019, Electric Power Automation Equipment Press. All right reserved.
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页码：201 / 206
页数：5
相关论文
共 18 条
  • [1] Kang Y.C., Zheng T.Y., Choi S.W., Et al., Design and evaluation of a compensating algorithm for the secondary voltage of a coupling voltage transformer in the time domain, IET Generation Transmission & Distribution, 3, 9, pp. 793-800, (2009)
  • [2] Du L., Chen B., Chen X., Et al., Measurement errors of capacitor voltage transformer with different internal insulation parameters, Power System Technology, 40, 12, pp. 3958-3966, (2016)
  • [3] Instrument transformers-part 7: electrical voltage transducers: IEC60044-7, (2002)
  • [4] Li Z., Li H., Zhang Z., Et al., An online calibration method for electronic voltage transformers based on IEC61850-9-2, Mapan, 29, 2, pp. 97-105, (2014)
  • [5] Xiong X., He Y., Yu J., Et al., Diagnosis of abrupt-changing fault of electronic instrument transformer in digital substation based on wavelet transform, Power System Technology, 34, 7, pp. 181-185, (2010)
  • [6] Yang X., A study of electronic transformer fault diagnosis based on wavelet-fractal theory, (2012)
  • [7] He N., Fault diagnosis of electronic instrument transformer based on wavelet neural network, (2010)
  • [8] Wu H., Zhou Y., Dong S., Et al., Probabilistic load flow based on generalized polynomial chaos, IEEE Transactions on Power Systems, 32, 1, pp. 1-2, (2016)
  • [9] Su C.L., Stochastic evaluation of voltages in distribution networks with distributed generation using detailed distribution operation models, IEEE Transactions on Power Systems, 25, 2, pp. 786-795, (2010)
  • [10] Wang T., Zhang N., Liu L., Et al., Research and application of electronic transformer fault diagnosis, Power System Protection and Control, 43, 18, pp. 74-79, (2015)
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