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Short-Circuit Fault Current Parameter Prediction Method Based on Ultra-Short-Time Data Window

Author

Listed:
  • Mengjiao Wang

    (Key Laboratory of Engineering Dielectrics and Its Application, Ministry of Education, School of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin 150080, China)

  • Xinlao Wei

    (Key Laboratory of Engineering Dielectrics and Its Application, Ministry of Education, School of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin 150080, China)

  • Zhihang Zhao

    (Key Laboratory of Engineering Dielectrics and Its Application, Ministry of Education, School of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin 150080, China)

Abstract

The prediction of short-circuit current parameters is essential for the adoption of short-circuit fault limiting techniques and the reliable cut-off of circuit breakers. In order to quickly and accurately predict the short-circuit current waveform parameters, a short-circuit fault current prediction method based on ultra-short-time data windows (UDWs) is proposed. First, a mathematical model for describing short-circuit faults is constructed and the characteristics of short-circuit currents are analyzed. Then, the principle of the UDW method for predicting short-circuit current waveform parameters is derived, the correctness of the principle is verified by setting-up an ideal signal through simulation, and the exponential and linear expressions fitted to the curve are analyzed and compared with the improved half-wave Fourier method for predicting current parameters. Finally, trend filtering technology is proposed to eliminate high-frequency interference and white noise interference. The results show that the ultra-short-time data window method can quickly and accurately predict the short-circuit current waveform parameters, where the exponential expression is a better fit to the waveform, and the trend filtering technique enables the elimination of high-frequency and white noise interference in the initial stages of prediction.

Suggested Citation

  • Mengjiao Wang & Xinlao Wei & Zhihang Zhao, 2022. "Short-Circuit Fault Current Parameter Prediction Method Based on Ultra-Short-Time Data Window," Energies, MDPI, vol. 15(23), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8861-:d:982267
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    References listed on IDEAS

    as
    1. Jae-In Lee & Van Quan Dao & Minh-Chau Dinh & Seok-ju Lee & Chang Soon Kim & Minwon Park, 2021. "Combined Operation Analysis of a Saturated Iron-Core Superconducting Fault Current Limiter and Circuit Breaker for an HVDC System Protection," Energies, MDPI, vol. 14(23), pages 1-18, November.
    2. Wookyu Chae & Jung-Hun Lee & Woo-Hyun Kim & Sungwook Hwang & Jun-Oh Kim & Jae-Eon Kim, 2021. "Adaptive Protection Coordination Method Design of Remote Microgrid for Three-Phase Short Circuit Fault," Energies, MDPI, vol. 14(22), pages 1-20, November.
    3. Md Shafiul Alam & Mohammad Ali Yousef Abido & Ibrahim El-Amin, 2018. "Fault Current Limiters in Power Systems: A Comprehensive Review," Energies, MDPI, vol. 11(5), pages 1-24, April.
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