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Zero-Sequence Differential Current Protection Scheme for Converter Transformer Based on Waveform Correlation Analysis

Author

Listed:
  • Tao Zheng

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Xinhui Yang

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Xingchao Guo

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Xingguo Wang

    (State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute Co., Ltd, Beijing 100192, China)

  • Chengqi Zhang

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

Abstract

Through the analysis of the recovery inrush current generated by the external fault removal of the converter transformer, it is pointed out that the zero-sequence current caused by the recovery inrush may result in the saturation of the neutral current transformer (CT), whose measurement distortion contributes to the mis-operation of zero-sequence differential current protection. In this paper, a new scheme of zero-sequence differential current protection based on waveform correlation is proposed. By analyzing the characteristics of zero-sequence current under internal fault, external fault and external fault removal, the waveform correlation of the zero-sequence current measured at the terminal of the transformer and the zero-sequence current measured at the neutral point of the transformer is used for identification. The polarity of the CT is selected to guarantee the zero-sequence currents at the terminal and neutral point of the transformer exhibit a "ride through" characteristic under external fault, then the waveform similarity is high, and the correlation coefficient is positive. On the other hand, when internal fault occurs, zero-sequence current waveforms on both sides differ from each other largely, and the correlation coefficient is negative. Through a large number of simulations verified by PSCAD/EMTDC, this criterion can accurately identify internal and external faults, exempt from effects of the recovery inrush. Moreover, it presents certain ability for CT anti-saturation.

Suggested Citation

  • Tao Zheng & Xinhui Yang & Xingchao Guo & Xingguo Wang & Chengqi Zhang, 2020. "Zero-Sequence Differential Current Protection Scheme for Converter Transformer Based on Waveform Correlation Analysis," Energies, MDPI, vol. 13(7), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1814-:d:343287
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    Citations

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    Cited by:

    1. Sunil Kumar Gunda & Venkata Samba Sesha Siva Sarma Dhanikonda, 2021. "Discrimination of Transformer Inrush Currents and Internal Fault Currents Using Extended Kalman Filter Algorithm (EKF)," Energies, MDPI, vol. 14(19), pages 1-20, September.
    2. Seyed Amir Hosseini & Ali Akbar Nazari & Behrooz Taheri & Farzad Razavi & Hamed Hashemi-Dezaki, 2022. "Proposing a New Approach to Generate the Differential Trajectory of the Differential Relays Using COMTRADE Files," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    3. Jingde Xia & Shaozhuo Li & Shuping Gao & Wenquan Shao & Guobing Song & Changjiang Chen, 2021. "Research on Differential Protection of Generator Based on New Braking Mode," Energies, MDPI, vol. 14(7), pages 1-16, March.

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