IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i11p2736-d364880.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/11/2736/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/11/2736/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Harish, Santosh M. & Morgan, Granger M. & Subrahmanian, Eswaran, 2014. "When does unreliable grid supply become unacceptable policy? Costs of power supply and outages in rural India," Energy Policy, Elsevier, vol. 68(C), pages 158-169.
    2. Qiang Yang & Le Jiang & Ali Ehsan & Yajing Gao & Shixiao Guo, 2018. "Robust Power Supply Restoration for Self-Healing Active Distribution Networks Considering the Availability of Distributed Generation," Energies, MDPI, vol. 11(1), pages 1-19, January.
    3. Sini Han & Hyeon-Jin Kim & Duehee Lee, 2020. "A Long-Term Evaluation on Transmission Line Expansion Planning with Multistage Stochastic Programming," Energies, MDPI, vol. 13(8), pages 1-18, April.
    4. Drouineau, Mathilde & Maïzi, Nadia & Mazauric, Vincent, 2014. "Impacts of intermittent sources on the quality of power supply: The key role of reliability indicators," Applied Energy, Elsevier, vol. 116(C), pages 333-343.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    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. Alimou, Yacine & Maïzi, Nadia & Bourmaud, Jean-Yves & Li, Marion, 2020. "Assessing the security of electricity supply through multi-scale modeling: The TIMES-ANTARES linking approach," Applied Energy, Elsevier, vol. 279(C).
    2. Fichter, Tobias & Soria, Rafael & Szklo, Alexandre & Schaeffer, Roberto & Lucena, Andre F.P., 2017. "Assessing the potential role of concentrated solar power (CSP) for the northeast power system of Brazil using a detailed power system model," Energy, Elsevier, vol. 121(C), pages 695-715.
    3. Sedai, Ashish Kumar & Jamasb, Tooraj & Nepal, Rabindra & Miller, Ray, 2021. "Electrification and welfare for the marginalized: Evidence from India," Energy Economics, Elsevier, vol. 102(C).
    4. Polleux, Louis & Guerassimoff, Gilles & Marmorat, Jean-Paul & Sandoval-Moreno, John & Schuhler, Thierry, 2022. "An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    5. Yang, Ting & Pen, Haibo & Wang, Dan & Wang, Zhaoxia, 2016. "Harmonic analysis in integrated energy system based on compressed sensing," Applied Energy, Elsevier, vol. 165(C), pages 583-591.
    6. Bajo-Buenestado, Raúl, 2021. "The effect of blackouts on household electrification status: Evidence from Kenya," Energy Economics, Elsevier, vol. 94(C).
    7. Rezghi, Ali & Riasi, Alireza & Tazraei, Pedram, 2020. "Multi-objective optimization of hydraulic transient condition in a pump-turbine hydropower considering the wicket-gates closing law and the surge tank position," Renewable Energy, Elsevier, vol. 148(C), pages 478-491.
    8. Gibb, Duncan & Johnson, Maike & Romaní, Joaquim & Gasia, Jaume & Cabeza, Luisa F. & Seitz, Antje, 2018. "Process integration of thermal energy storage systems – Evaluation methodology and case studies," Applied Energy, Elsevier, vol. 230(C), pages 750-760.
    9. Sue Wing, Ian & Rose, Adam Z., 2020. "Economic consequence analysis of electric power infrastructure disruptions: General equilibrium approaches," Energy Economics, Elsevier, vol. 89(C).
    10. Sedai, Ashish Kumar & Vasudevan, Ramaa & Pena, Anita Alves & Miller, Ray, 2021. "Does reliable electrification reduce gender differences? Evidence from India," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 580-601.
    11. Wang, Fei & Xu, Hanchen & Xu, Ti & Li, Kangping & Shafie-khah, Miadreza & Catalão, João. P.S., 2017. "The values of market-based demand response on improving power system reliability under extreme circumstances," Applied Energy, Elsevier, vol. 193(C), pages 220-231.
    12. Gengli Song & Hua Wei, 2022. "Distributionally Robust Multi-Energy Dynamic Optimal Power Flow Considering Water Spillage with Wasserstein Metric," Energies, MDPI, vol. 15(11), pages 1-18, May.
    13. Mueller, Simon C. & Sandner, Philipp G. & Welpe, Isabell M., 2015. "Monitoring innovation in electrochemical energy storage technologies: A patent-based approach," Applied Energy, Elsevier, vol. 137(C), pages 537-544.
    14. Josip Tosic & Srdjan Skok & Ljupko Teklic & Mislav Balkovic, 2022. "Resilience Neural-Network-Based Methodology Applied on Optimized Transmission Systems Restoration," Energies, MDPI, vol. 15(13), pages 1-16, June.
    15. Kennedy, Ryan & Mahajan, Aseem & Urpelainen, Johannes, 2019. "Quality of service predicts willingness to pay for household electricity connections in rural India," Energy Policy, Elsevier, vol. 129(C), pages 319-326.
    16. Botelho, Vinícius, 2019. "Estimating the economic impacts of power supply interruptions," Energy Economics, Elsevier, vol. 80(C), pages 983-994.
    17. Small, Sarah F. & van der Meulen Rodgers, Yana, 2023. "The gendered effects of investing in physical and social infrastructure," World Development, Elsevier, vol. 171(C).
    18. Kerianne Lawson, 2022. "Electricity outages and residential fires: Evidence from Cape Town, South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 90(4), pages 469-485, December.
    19. Comello, Stephen D. & Reichelstein, Stefan J. & Sahoo, Anshuman & Schmidt, Tobias S., 2017. "Enabling Mini-Grid Development in Rural India," World Development, Elsevier, vol. 93(C), pages 94-107.
    20. Sedai, Ashish Kumar & Nepal, Rabindra & Jamasb, Tooraj, 2021. "Flickering lifelines: Electrification and household welfare in India," Energy Economics, Elsevier, vol. 94(C).

    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:13:y:2020:i:11:p:2736-:d:364880. 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.