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Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines

Author

Listed:
  • Alexander Vinogradov

    (Laboratory of Power Supply and Heat Supply, Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia)

  • Vadim Bolshev

    (Laboratory of Power Supply and Heat Supply, Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia)

  • Alina Vinogradova

    (Laboratory of Power Supply and Heat Supply, Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia)

  • Michał Jasiński

    (Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland)

  • Tomasz Sikorski

    (Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland)

  • Zbigniew Leonowicz

    (Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland)

  • Radomir Goňo

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 708 00 Ostrava, Czech Republic)

  • Elżbieta Jasińska

    (Faculty of Law, Administration and Economics, University of Wroclaw, 50-145 Wroclaw, Poland)

Abstract

This paper presents the analysis of power supply restoration time after failures occurring in power lines. It found that the power supply restoration time depends on several constituents, such as the time for obtaining information on failures, the time for information recognition, the time to repair failures, and the time for connection harmonization. All these constituents have been considered more specifically. The main constituents’ results values of the power supply restoration time were analyzed for the electrical networks of regional power supply company “Oreolenergo”, a branch of Interregional Distribution Grid Company (IDGC) of Center. The Delphi method was used for determining the time for obtaining information on failures as well as the time for information recognition. The method of mathematical statistics was used to determine the repair time. The determined power supply restoration time (5.28 h) is similar to statistical values of the examined power supply company (the deviation was equal to 9.9%). The technical means of electrical network automation capable of the reduction of the power supply restoration time have also been found. These means were classified according to the time intervals they shorten.

Suggested Citation

  • Alexander Vinogradov & Vadim Bolshev & Alina Vinogradova & Michał Jasiński & Tomasz Sikorski & Zbigniew Leonowicz & Radomir Goňo & Elżbieta Jasińska, 2020. "Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines," Energies, MDPI, vol. 13(11), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2736-:d:364880
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    References listed on IDEAS

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    5. Dian Najihah Abu Talib & Hazlie Mokhlis & Mohamad Sofian Abu Talip & Kanendra Naidu & Hadi Suyono, 2018. "Power System Restoration Planning Strategy Based on Optimal Energizing Time of Sectionalizing Islands," Energies, MDPI, vol. 11(5), pages 1-17, May.
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    Cited by:

    1. Jacek Paś, 2023. "Issues Related to Power Supply Reliability in Integrated Electronic Security Systems Operated in Buildings and Vast Areas," Energies, MDPI, vol. 16(8), pages 1-22, April.
    2. Qing Zhou & Yuelei Xu & Xin Qi & Zhaoxiang Zhang, 2022. "Design and Simulation of a Highly Reliable Modular High-Power Current Source," Energies, MDPI, vol. 15(22), pages 1-18, November.
    3. Zbigniew Leonowicz & Michał Jasiński, 2021. "Signal Analysis in Power Systems," Energies, MDPI, vol. 14(23), pages 1-3, November.

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