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

Author

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  • Zhenhua Li

    (College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
    Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, 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)

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.

Suggested Citation

  • Zhenhua Li & Yangang Zheng & Ahmed Abu-Siada & Mengyao Lu & Hongbin Li & Yanchun Xu, 2020. "Online Evaluation for the Accuracy of Electronic Voltage Transformer Based on Recursive Principal Components Analysis," Energies, MDPI, vol. 13(21), pages 1-11, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5576-:d:434492
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    References listed on IDEAS

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    1. Kun-Long Chen & Ren-Shuo Wan & Yi Guo & Nanming Chen & Wei-Jen Lee, 2017. "A Redundancy Mechanism Design for Hall-Based Electronic Current Transformers," Energies, MDPI, vol. 10(3), pages 1-14, March.
    2. Hongwen Liu & Ke Wang & Qing Yang & Lu Yin & Jisheng Huang, 2019. "On-Line Detection of Voltage Transformer Insulation Defects Using the Low-Frequency Oscillation Amplitude and Duration of a Zero Sequence Voltage," Energies, MDPI, vol. 12(4), pages 1-17, February.
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    Cited by:

    1. Wael S. Hassanein & Marwa M. Ahmed & Mohamed I. Mosaad & A. Abu-Siada, 2021. "Estimation of Transmission Line Parameters Using Voltage-Current Measurements and Whale Optimization Algorithm," Energies, MDPI, vol. 14(11), pages 1-15, June.

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