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Mitigating the Impact of an Official PEV Charger Deployment Plan on an Urban Grid

Author

Listed:
  • George Konstantinidis

    (Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR-71410 Heraklion, Greece)

  • Emmanuel Karapidakis

    (Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR-71410 Heraklion, Greece)

  • Alexandros Paspatis

    (Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR-71410 Heraklion, Greece)

Abstract

Plug-in electric vehicles (PEVs) are rapidly increasing all over the world as electromobility is being promoted to reduce the greenhouse gas (GHG) emissions. PEVs locally produce zero emissions and they are more efficient in contrast to internal combustion engine vehicles. On the other hand, the impact of the uncoordinated charging of PEVs is expected to create new challenges for the established distribution grid. This article initially evaluates the impact of uncoordinated charging on the voltage regulation and transformer loading in the city of Heraklion, Greece. Then, a coordinated charging strategy is proposed to deal with the issue of transformer capacity violation by PEVs. Two cases were considered when the transformer overloading from PEV charging was taken into consideration: (a) keeping the transformer below its nominal capacity limit and (b) keeping the transformer below 90% of its nominal capacity limit. This was achieved by distributing the available capacity (nominal capacity minus the residential loads) of the transformer to the PEV chargers in a way that the aforementioned limits were satisfied. Real-world data of the distribution grid and the hourly power consumption of the city were used to validate the proposed method. Results show that possible transformer capacity violation can be tackled by the proposed coordinated charging, without exceeding the voltage regulation limits.

Suggested Citation

  • George Konstantinidis & Emmanuel Karapidakis & Alexandros Paspatis, 2022. "Mitigating the Impact of an Official PEV Charger Deployment Plan on an Urban Grid," Energies, MDPI, vol. 15(4), pages 1-18, February.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1321-:d:747359
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    References listed on IDEAS

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    1. Ramos Muñoz, Edgar & Razeghi, Ghazal & Zhang, Li & Jabbari, Faryar, 2016. "Electric vehicle charging algorithms for coordination of the grid and distribution transformer levels," Energy, Elsevier, vol. 113(C), pages 930-942.
    2. Noel, Lance & Zarazua de Rubens, Gerardo & Kester, Johannes & Sovacool, Benjamin K., 2018. "Beyond emissions and economics: Rethinking the co-benefits of electric vehicles (EVs) and vehicle-to-grid (V2G)," Transport Policy, Elsevier, vol. 71(C), pages 130-137.
    3. Christian Thiel & Anastasios Tsakalidis & Arnulf Jäger-Waldau, 2020. "Will Electric Vehicles Be Killed (again) or Are They the Next Mobility Killer App?," Energies, MDPI, vol. 13(7), pages 1-10, April.
    4. Alexandre Lucas & Ricardo Barranco & Nazir Refa, 2019. "EV Idle Time Estimation on Charging Infrastructure, Comparing Supervised Machine Learning Regressions," Energies, MDPI, vol. 12(2), pages 1-17, January.
    5. Martin Spitzer & Jonas Schlund & Elpiniki Apostolaki-Iosifidou & Marco Pruckner, 2019. "Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids," Energies, MDPI, vol. 12(21), pages 1-19, October.
    6. Teguh Kurniawan & Craig A. Baguley & Udaya K. Madawala & Suwarno & Nanang Hariyanto & Yuana Adianto, 2020. "An Electric Vehicle Charge Scheduling Approach Suited to Local and Supplying Distribution Transformers," Energies, MDPI, vol. 13(13), pages 1-13, July.
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    Cited by:

    1. Lijuan Sun & Menggang Chen & Yawei Shi & Lifeng Zheng & Songyang Li & Jun Li & Huijuan Xu, 2022. "Solving PEV Charging Strategies with an Asynchronous Distributed Generalized Nash Game Algorithm in Energy Management System," Energies, MDPI, vol. 15(24), pages 1-13, December.
    2. Ana Pavlićević & Saša Mujović, 2022. "Impact of Reactive Power from Public Electric Vehicle Stations on Transformer Aging and Active Energy Losses," Energies, MDPI, vol. 15(19), pages 1-24, September.

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