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Electromagnetic Immunity Performance of Intelligent Electronic Equipment in Smart Substation’s Electromagnetic Environment

Author

Listed:
  • Guanchen Liu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310000, China)

  • Peng Zhao

    (China Electric Power Research Institute, Beijing 100192, China)

  • Yang Qin

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310000, China)

  • Mingmin Zhao

    (China Electric Power Research Institute, Beijing 100192, China)

  • Zhichao Yang

    (China Electric Power Research Institute, Beijing 100192, China)

  • Henglin Chen

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310000, China)

Abstract

With the gradual increasing of the transmission voltage level, the situation of interference on secondary side equipment in smart substations is becoming more serious. The authors tested the interference waveforms caused by the circuit breaker’s operation at the smart substation, which showed the severity of the electromagnetic (EM) environment. This paper takes the electronic current transformer acquisition card as an example. The influence of EM interference sources on the reliability of the acquisition card is analyzed. Then, standardized electromagnetic compatibility (EMC) immunity tests of the international electrotechnical commission (IEC) for different interferences are implemented. Typical output characteristics of acquisition cards for different tests are analyzed. Innovatively, this paper proposes a quantitative evaluation method of output waveform disturbance to evaluate the acquisition card’s performance. This disturbance distortion is of great significance to the EM environment estimation of the acquisition card.

Suggested Citation

  • Guanchen Liu & Peng Zhao & Yang Qin & Mingmin Zhao & Zhichao Yang & Henglin Chen, 2020. "Electromagnetic Immunity Performance of Intelligent Electronic Equipment in Smart Substation’s Electromagnetic Environment," Energies, MDPI, vol. 13(5), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1130-:d:327749
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    References listed on IDEAS

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    1. Vegard Steinsland & Lasse Hugo Sivertsen & Emil Cimpan & Shujun Zhang, 2019. "A New Approach to Include Complex Grounding System in Lightning Transient Studies and EMI Evaluations," Energies, MDPI, vol. 12(16), pages 1-14, August.
    2. Hrvoje Grganić & Davor Grgić & Siniša Šadek, 2020. "Room Classification Based on EMC Conditions in Nuclear Power Plants," Energies, MDPI, vol. 13(2), pages 1-18, January.
    3. Jakub Furgał, 2020. "Influence of Lightning Current Model on Simulations of Overvoltages in High Voltage Overhead Transmission Systems," Energies, MDPI, vol. 13(2), pages 1-10, January.
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    Cited by:

    1. Jiufu Liu & Hongzhong Ma & Xiaolei Xie & Jun Cheng, 2022. "Short Text Classification for Faults Information of Secondary Equipment Based on Convolutional Neural Networks," Energies, MDPI, vol. 15(7), pages 1-15, March.
    2. Zhenhua Li & Xingxin Chen & Lin Wu & Abu-Siada Ahmed & Tao Wang & Yujie Zhang & Hongbin Li & Zhenxing Li & Yanchun Xu & Yue Tong, 2021. "Error Analysis of Air-Core Coil Current Transformer Based on Stacking Model Fusion," Energies, MDPI, vol. 14(7), pages 1-14, March.

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