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Distribution System Service Restoration Using Electric Vehicles

Author

Listed:
  • Swapna Ganapaneni

    (Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, India)

  • Srinivasa Varma Pinni

    (Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, India)

  • Ch. Rami Reddy

    (Electrical and Electronics Engineering, Malla Reddy Engineering College (A), Maisammaguda, Secunderabad 500100, India)

  • Flah Aymen

    (National Engineering School of Gabès, Processes, Energy, Environment and Electrical Systems, University of Gabès, LR18ES34, Gabes 6072, Tunisia)

  • Mohammed Alqarni

    (College of Engineering, University of Business and Technology (UBT), Jeddah 23435, Saudi Arabia)

  • Basem Alamri

    (Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Habib Kraiem

    (Department of Electrical Engineering, College of Engineering, Northern Border University, Arar 73222, Saudi Arabia)

Abstract

Nowadays the utilization of Electric Vehicles (EVs) has greatly increased. They are attaining greater attention due to their impacts on the grid at the distribution level. However, due to the increased need for electricity, EVs are also used to serve the load in the instance of electrical failure in the distribution systems. This paper presents a new approach to a service restoration method for a low-voltage distribution network at the time of a power outage using existing EVs available in a parking place. The objective function formulated here was a constrained linear optimization model. It aimed to develop priority-based scheduling of the residential user appliances while meeting all the operational constraints if the EV’s power was in a deficit at the hour of the outage. Weight factors were assigned to various residential appliances to decide their priority while scheduling. To substantiate the proposed methodology, a day load profile of a 20 kVA distribution transformer feeding eight residential users is considered. This was tested during an hour-long power outage scenario in the MATLAB and LINGO platforms, with four EVs available during the outage period. This method restored the maximum power to the residential appliances.

Suggested Citation

  • Swapna Ganapaneni & Srinivasa Varma Pinni & Ch. Rami Reddy & Flah Aymen & Mohammed Alqarni & Basem Alamri & Habib Kraiem, 2022. "Distribution System Service Restoration Using Electric Vehicles," Energies, MDPI, vol. 15(9), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3264-:d:805844
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    References listed on IDEAS

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    1. Andreas J. Hanschek & Yann E. Bouvier & Erwin Jesacher & Petar J. Grbović, 2022. "Analysis and Comparison of Power Distribution System Topologies for Low-Voltage DC–DC Automated Guided Vehicle Applications," Energies, MDPI, vol. 15(6), pages 1-23, March.
    2. Sai Sudharshan Ravi & Muhammad Aziz, 2022. "Utilization of Electric Vehicles for Vehicle-to-Grid Services: Progress and Perspectives," Energies, MDPI, vol. 15(2), pages 1-27, January.
    3. Gonzalez Venegas, Felipe & Petit, Marc & Perez, Yannick, 2021. "Active integration of electric vehicles into distribution grids: Barriers and frameworks for flexibility services," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    4. Seyfettin Vadi & Ramazan Bayindir & Alperen Mustafa Colak & Eklas Hossain, 2019. "A Review on Communication Standards and Charging Topologies of V2G and V2H Operation Strategies," Energies, MDPI, vol. 12(19), pages 1-27, September.
    5. Murat Akil & Emrah Dokur & Ramazan Bayindir, 2021. "The SOC Based Dynamic Charging Coordination of EVs in the PV-Penetrated Distribution Network Using Real-World Data," Energies, MDPI, vol. 14(24), pages 1-19, December.
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    Cited by:

    1. Jamiu O. Oladigbolu & Asad Mujeeb & Amir A. Imam & Ali Muhammad Rushdi, 2022. "Design, Technical and Economic Optimization of Renewable Energy-Based Electric Vehicle Charging Stations in Africa: The Case of Nigeria," Energies, MDPI, vol. 16(1), pages 1-32, December.

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