Online Evaluation for the Accuracy of Electronic Voltage Transformer Based on Recursive Principal Components Analysis

Zhenhua Li, Yangang Zheng, Ahmed Abu-Siada, Mengyao Lu, Hongbin Li and Yanchun Xu
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Zhenhua Li: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Yangang Zheng: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Ahmed Abu-Siada: Discipline of Electrical and Computer Engineering, Curtin University, Perth, WA 6000, Australia
Mengyao Lu: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Hongbin Li: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Yanchun Xu: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China

Energies, 2020, vol. 13, issue 21, 1-11

Abstract: The electronic voltage transformer (EVT) has received much attention with the recent global trend to establish smart grids and digital substations. One of the main issues of the EVT is the deterioration of its performance with long-term operation which affects the control and protection systems it is employed for and hence the overall reliability of the power grids. This calls for the essential need for a reliable technique to regularly assess the accuracy of operating EVT in real-time. Unfortunately, traditional calibration methods cannot detect the incipient EVT performance change in real-time. As such, this paper presents a new online method to evaluate the accuracy of the EVT. In this regard, the Q -statistic is calculated based on the recursive principal components analysis (RPCA) using the output data of EVT to map up the changes of metering error on the electric–physics relationship. By employing the output data of the EVT along with the power grid characteristics, the performance of the EVT is evaluated without the need for a standard transformer, as per the current industry practice. Results show that the proposed method can assess the EVT with a 0.2 accuracy class.

Keywords: electronic voltage transformer; measurement accuracy; recursive principal components analysis; online evaluation; asset management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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