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Electric vehicle charging strategy to support renewable energy sources in Europe 2050 low-carbon scenario

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  • Colmenar-Santos, Antonio
  • Muñoz-Gómez, Antonio-Miguel
  • Rosales-Asensio, Enrique
  • López-Rey, África

Abstract

The EU has undertaken a thorough reform of its energy model. Current EU 2050 climate commitment sets an 80–95% GHG reduction goal. To reach this goal, the EU must make continued progress towards a low-carbon society. Renewable energy sources and electric vehicle play an important role for a gradual transition. The power grid faces a challenging future due to intermittency and the non-dispatchable nature of wind and solar energy production, but flexibility needs can migrate from generation to load, with the expansion of demand-side resources and storage technologies. A novel grid technique is presented and evaluated in this paper for the optimal integrated operation of renewable resources and electric vehicle to increase penetration of renewable energy. It is proposed a distribute control system to manage a charge and discharge strategy to support mismatching between load and renewable generation thru V2G technology. Demand response, peak saving and ancillary services are introduced to keep a reliable power quality, stable frequency and flatten load profile.

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  • Colmenar-Santos, Antonio & Muñoz-Gómez, Antonio-Miguel & Rosales-Asensio, Enrique & López-Rey, África, 2019. "Electric vehicle charging strategy to support renewable energy sources in Europe 2050 low-carbon scenario," Energy, Elsevier, vol. 183(C), pages 61-74.
    • Handle: RePEc:eee:energy:v:183:y:2019:i:c:p:61-74
    DOI: 10.1016/j.energy.2019.06.118
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    15. Cesar Diaz-Londono & Luigi Colangelo & Fredy Ruiz & Diego Patino & Carlo Novara & Gianfranco Chicco, 2019. "Optimal Strategy to Exploit the Flexibility of an Electric Vehicle Charging Station," Energies, MDPI, vol. 12(20), pages 1-29, October.
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    19. Wu, Wei & Lin, Boqiang, 2021. "Benefits of electric vehicles integrating into power grid," Energy, Elsevier, vol. 224(C).
    20. Powell, Siobhan & Vianna Cezar, Gustavo & Apostolaki-Iosifidou, Elpiniki & Rajagopal, Ram, 2022. "Large-scale scenarios of electric vehicle charging with a data-driven model of control," Energy, Elsevier, vol. 248(C).
    21. Zhang, Yao & Zhang, Yuxin & Gong, Chao & Dinçer, Hasan & Yüksel, Serhat, 2022. "An integrated hesitant 2-tuple Pythagorean fuzzy analysis of QFD-based innovation cost and duration for renewable energy projects," Energy, Elsevier, vol. 248(C).
    22. Sillman, J. & Hynynen, K. & Dyukov, I. & Ahonen, T. & Jalas, M, 2023. "Emission reduction targets and electrification of the Finnish energy system with low-carbon Power-to-X technologies: Potentials, barriers, and innovations – A Delphi survey," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    23. Zhou, Pengfei & Luo, Jie & Cheng, Fei & Yüksel, Serhat & Dinçer, Hasan, 2021. "Analysis of risk priorities for renewable energy investment projects using a hybrid IT2 hesitant fuzzy decision-making approach with alpha cuts," Energy, Elsevier, vol. 224(C).
    24. Gönül, Ömer & Duman, A. Can & Güler, Önder, 2021. "Electric vehicles and charging infrastructure in Turkey: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).

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