IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i23p8861-d982267.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/23/8861/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/23/8861/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sung-Hun Lim & Min-Ki Park & Sung-Hoon Park & Jae-Woo Chung, 2023. "Analysis on DC Fault Current Limiting Operation of Twice-Quench Trigger Type SFCL Using Transformer Considering Magnetizing Current and Current Limiting Reactor," Energies, MDPI, vol. 16(17), pages 1-14, August.
    2. Sung-Hun Lim & Jin-O. Kim & Youngjin Jeong, 2020. "Fault Current Limiting and Breaking Characteristics of SFCLB Using Flux Coupling with Tap Changer," Energies, MDPI, vol. 13(19), pages 1-14, October.
    3. Jaesik Kang, 2022. "Comprehensive Analysis of Transient Overvoltage Phenomena for Metal-Oxide Varistor Surge Arrester in LCC-HVDC Transmission System with Special Protection Scheme," Energies, MDPI, vol. 15(19), pages 1-17, September.
    4. Muhammad Ahmad & Zhixin Wang, 2019. "A Hybrid DC Circuit Breaker with Fault-Current-Limiting Capability for VSC-HVDC Transmission System," Energies, MDPI, vol. 12(12), pages 1-16, June.
    5. Thai-Thanh Nguyen & Hak-Man Kim & Hyung Suk Yang, 2020. "Impacts of a LVRT Control Strategy of Offshore Wind Farms on the HTS Power Cable," Energies, MDPI, vol. 13(5), pages 1-17, March.
    6. Md Mamun Ur Rashid & Fabrizio Granelli & Md. Alamgir Hossain & Md. Shafiul Alam & Fahad Saleh Al-Ismail & Ashish Kumar Karmaker & Md. Mijanur Rahaman, 2020. "Development of Home Energy Management Scheme for a Smart Grid Community," Energies, MDPI, vol. 13(17), pages 1-24, August.
    7. Sung-Moon Choi & Byeong-Gill Han & Mi-Young Kim & Dae-Seok Rho, 2022. "Operation Algorithm for Protection Coordination Device in High-Voltage Customer with ESS for Demand Management," Energies, MDPI, vol. 15(9), pages 1-12, April.
    8. Md Shafiul Alam & Mohammad Ali Yousef Abido & Alaa El-Din Hussein & Ibrahim El-Amin, 2019. "Fault Ride through Capability Augmentation of a DFIG-Based Wind Integrated VSC-HVDC System with Non-Superconducting Fault Current Limiter," Sustainability, MDPI, vol. 11(5), pages 1-23, February.
    9. Md. Shafiul Alam & Abdullah A. Almehizia & Fahad Saleh Al-Ismail & Md. Alamgir Hossain & Muhammad Azharul Islam & Md. Shafiullah & Aasim Ullah, 2022. "Frequency Stabilization of AC Microgrid Clusters: An Efficient Fractional Order Supercapacitor Controller Approach," Energies, MDPI, vol. 15(14), pages 1-22, July.
    10. Esteban Pulido & Luis Morán & Felipe Villarroel & José Silva, 2020. "Active Reduction of Short-Circuit Current in Power Distribution Systems," Energies, MDPI, vol. 13(2), pages 1-16, January.
    11. Kwang-Hoon Yoon & Joong-Woo Shin & Jae-Chul Kim & Hyeong-Jin Lee & Jin-Seok Kim, 2022. "Simulation of a Low-Voltage Direct Current System Using T-SFCL to Enhance Low Voltage Ride through Capability," Energies, MDPI, vol. 15(6), pages 1-11, March.
    12. Francisco Ferreira da Silva & João F. P. Fernandes & Paulo José da Costa Branco, 2022. "Superconducting Electric Power Systems: R&D Advancements," Energies, MDPI, vol. 15(19), pages 1-10, October.
    13. Shen, Boyang & Chen, Yu & Li, Chuanyue & Wang, Sheng & Chen, Xiaoyuan, 2021. "Superconducting fault current limiter (SFCL): Experiment and the simulation from finite-element method (FEM) to power/energy system software," Energy, Elsevier, vol. 234(C).
    14. Murillo Cobe Vargas & Oureste Elias Batista & Yongheng Yang, 2023. "Estimation Method of Short-Circuit Current Contribution of Inverter-Based Resources for Symmetrical Faults," Energies, MDPI, vol. 16(7), pages 1-27, March.
    15. Khalfan Al Kharusi & Abdelsalam El Haffar & Mostefa Mesbah, 2022. "Fault Detection and Classification in Transmission Lines Connected to Inverter-Based Generators Using Machine Learning," Energies, MDPI, vol. 15(15), pages 1-23, July.
    16. John Linden & Yasha Nikulshin & Alex Friedman & Yosef Yeshurun & Shuki Wolfus, 2019. "Design Optimization of a Permanent-Magnet Saturated-Core Fault-Current Limiter," Energies, MDPI, vol. 12(10), pages 1-11, May.
    17. Younis M. Nsaif & Molla Shahadat Hossain Lipu & Aini Hussain & Afida Ayob & Yushaizad Yusof & Muhammad Ammirrul A. M. Zainuri, 2022. "A Novel Fault Detection and Classification Strategy for Photovoltaic Distribution Network Using Improved Hilbert–Huang Transform and Ensemble Learning Technique," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    18. Md. Shafiul Alam & Tanzi Ahmed Chowdhury & Abhishak Dhar & Fahad Saleh Al-Ismail & M. S. H. Choudhury & Md Shafiullah & Md. Ismail Hossain & Md. Alamgir Hossain & Aasim Ullah & Syed Masiur Rahman, 2023. "Solar and Wind Energy Integrated System Frequency Control: A Critical Review on Recent Developments," Energies, MDPI, vol. 16(2), pages 1-31, January.
    19. Adel A. Abou El-Ela & Ragab A. El-Sehiemy & Abdullah M. Shaheen & Aya R. Ellien, 2022. "Review on Active Distribution Networks with Fault Current Limiters and Renewable Energy Resources," Energies, MDPI, vol. 15(20), pages 1-30, October.
    20. Md Shafiul Alam & Mohammad Ali Yousef Abido & Alaa El-Din Hussein, 2019. "Non-Linear Control for Variable Resistive Bridge Type Fault Current Limiter in AC-DC Systems," Energies, MDPI, vol. 12(4), pages 1-16, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8861-:d:982267. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.