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Optimal Charging Scheduling of Electric Vehicles in Smart Grids by Heuristic Algorithms

Author

Listed:
  • Monica Alonso

    (Department of Electrical Engineering, University Carlos III of Madrid, Avda de la Universidad 30, Madrid 28911, Spain)

  • Hortensia Amaris

    (Department of Electrical Engineering, University Carlos III of Madrid, Avda de la Universidad 30, Madrid 28911, Spain)

  • Jean Gardy Germain

    (Gas Natural Fenosa, Avda. San Luis 77, Madrid 28033, Spain)

  • Juan Manuel Galan

    (Gas Natural Fenosa, Avda. San Luis 77, Madrid 28033, Spain)

Abstract

Transportation electrification has become an important issue in recent decades and the large scale deployment of electric vehicles (EVs) has yet to be achieved. The smart coordination of EV demand addresses an improvement in the flexibility of power systems and reduces the costs of power system investment. The uncertainty in EV drivers’ behaviour is one of the main problems to solve to obtain an optimal integration of EVs into power systems. In this paper, an optimisation algorithm to coordinate the charging of EVs has been developed and implemented using a Genetic Algorithm (GA), where thermal line limits, the load on transformers, voltage limits and parking availability patterns are taken into account to establish an optimal load pattern for EV charging-based reliability. This methodology has been applied to an existing residential low-voltage system. The results indicate that a smart charging schedule for EVs leads to a flattening of the load profile , peak load shaving and the prevention of the aging of power system elements.

Suggested Citation

  • Monica Alonso & Hortensia Amaris & Jean Gardy Germain & Juan Manuel Galan, 2014. "Optimal Charging Scheduling of Electric Vehicles in Smart Grids by Heuristic Algorithms," Energies, MDPI, vol. 7(4), pages 1-27, April.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:4:p:2449-2475:d:35240
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    References listed on IDEAS

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    1. Weis, Allison & Jaramillo, Paulina & Michalek, Jeremy, 2014. "Estimating the potential of controlled plug-in hybrid electric vehicle charging to reduce operational and capacity expansion costs for electric power systems with high wind penetration," Applied Energy, Elsevier, vol. 115(C), pages 190-204.
    2. Fernandes, Camila & Frías, Pablo & Latorre, Jesús M., 2012. "Impact of vehicle-to-grid on power system operation costs: The Spanish case study," Applied Energy, Elsevier, vol. 96(C), pages 194-202.
    3. Kiviluoma, Juha & Meibom, Peter, 2011. "Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles," Energy, Elsevier, vol. 36(3), pages 1758-1767.
    4. Finn, P. & Fitzpatrick, C. & Connolly, D., 2012. "Demand side management of electric car charging: Benefits for consumer and grid," Energy, Elsevier, vol. 42(1), pages 358-363.
    5. João Soares & Bruno Canizes & Cristina Lobo & Zita Vale & Hugo Morais, 2012. "Electric Vehicle Scenario Simulator Tool for Smart Grid Operators," Energies, MDPI, vol. 5(6), pages 1-19, June.
    6. Eduardo Valsera-Naranjo & Andreas Sumper & Roberto Villafafila-Robles & David Martínez-Vicente, 2012. "Probabilistic Method to Assess the Impact of Charging of Electric Vehicles on Distribution Grids," Energies, MDPI, vol. 5(5), pages 1-29, May.
    7. Su, Wencong & Chow, Mo-Yuen, 2012. "Computational intelligence-based energy management for a large-scale PHEV/PEV enabled municipal parking deck," Applied Energy, Elsevier, vol. 96(C), pages 171-182.
    8. Wang, Jianhui & Liu, Cong & Ton, Dan & Zhou, Yan & Kim, Jinho & Vyas, Anantray, 2011. "Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power," Energy Policy, Elsevier, vol. 39(7), pages 4016-4021, July.
    9. Green II, Robert C. & Wang, Lingfeng & Alam, Mansoor, 2011. "The impact of plug-in hybrid electric vehicles on distribution networks: A review and outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 544-553, January.
    10. Mehrdad Ehsani & Milad Falahi & Saeed Lotfifard, 2012. "Vehicle to Grid Services: Potential and Applications," Energies, MDPI, vol. 5(10), pages 1-15, October.
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