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Optimal Electric Vehicle Parking Lot Energy Supply Based on Mixed-Integer Linear Programming

Author

Listed:
  • Damir Jakus

    (Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split-FESB, Ruđera Boškovića 32, 21000 Split, Croatia)

  • Josip Vasilj

    (Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split-FESB, Ruđera Boškovića 32, 21000 Split, Croatia)

  • Danijel Jolevski

    (Department of Power Engineering, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split-FESB, Ruđera Boškovića 32, 21000 Split, Croatia)

Abstract

E-mobility represents an important part of the EU’s green transition and one of the key drivers for reducing CO 2 pollution in urban areas. To accelerate the e-mobility sector’s development it is necessary to invest in energy infrastructure and to assure favorable conditions in terms of competitive electricity prices to make the technology even more attractive. Large peak consumption of parking lots which use different variants of uncoordinated charging strategies increases grid problems and increases electricity supply costs. On the other hand, as observed lately in energy markets, different, mostly uncontrollable, factors can drive electricity prices to extreme levels, making the use of electric vehicles very expensive. In order to reduce exposure to these extreme conditions, it is essential to identify the optimal way to supply parking lots in the long term and to apply an adequate charging strategy that can help to reduce costs for end consumers and bring higher profit for parking lot owners. The significant decline in photovoltaic (PV) and battery storage technology costs makes them an ideal complement for the future supply of parking lots if they are used in an optimal manner in coordination with an adequate charging strategy. This paper addresses the optimal power supply investment problem related to parking lot electricity supply coupled with the application of an optimal EV charging strategy. The proposed optimization model determines optimal investment decisions related to grid supply and contracted peak power, PV plant capacity, battery storage capacity, and operation while optimizing EV charging. The model uses realistic data of EV charging patterns (arrival, departure, energy requirements, etc.) which are derived from commercial platforms. The model is applied using the data and prices from the Croatian market.

Suggested Citation

  • Damir Jakus & Josip Vasilj & Danijel Jolevski, 2023. "Optimal Electric Vehicle Parking Lot Energy Supply Based on Mixed-Integer Linear Programming," Energies, MDPI, vol. 16(23), pages 1-25, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7793-:d:1288420
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    References listed on IDEAS

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    1. Han, Xiaojuan & Liang, Yubo & Ai, Yaoyao & Li, Jianlin, 2018. "Economic evaluation of a PV combined energy storage charging station based on cost estimation of second-use batteries," Energy, Elsevier, vol. 165(PA), pages 326-339.
    2. Lukas Lanz & Bessie Noll & Tobias S. Schmidt & Bjarne Steffen, 2022. "Comparing the levelized cost of electric vehicle charging options in Europe," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
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