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Architecture for Co-Simulation of Transportation and Distribution Systems with Electric Vehicle Charging at Scale in the San Francisco Bay Area

Author

Listed:
  • Nadia V. Panossian

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Haitam Laarabi

    (Lawrence Berkeley National Laboratory, Berkeley, CA 94704, USA)

  • Keith Moffat

    (Transportation Sustainability Research Center, University of California-Berkeley, Berkeley, CA 94704, USA)

  • Heather Chang

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Bryan Palmintier

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Andrew Meintz

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Timothy E. Lipman

    (Lawrence Berkeley National Laboratory, Berkeley, CA 94704, USA
    Transportation Sustainability Research Center, University of California-Berkeley, Berkeley, CA 94704, USA)

  • Rashid A. Waraich

    (Lawrence Berkeley National Laboratory, Berkeley, CA 94704, USA)

Abstract

This work describes the Grid-Enhanced, Mobility-Integrated Network Infrastructures for Extreme Fast Charging (GEMINI) architecture for the co-simulation of distribution and transportation systems to evaluate EV charging impacts on electric distribution systems of a large metropolitan area and the surrounding rural regions with high fidelity. The current co-simulation is applied to Oakland and Alameda, California, and in future work will be extended to the full San Francisco Bay Area. It uses the HELICS co-simulation framework to enable parallel instances of vetted grid and transportation software programs to interact at every model timestep, allowing high-fidelity simulations at a large scale. This enables not only the impacts of electrified transportation systems across a larger interconnected collection of distribution feeders to be evaluated, but also the feedbacks between the two systems, such as through control systems, to be captured and compared. The findings are that with moderate passenger EV adoption rates, inverter controls combined with some distribution system hardware upgrades can maintain grid voltages within ANSI C.84 range A limits of 0.95 to 1.05 p.u. without smart charging. However, EV charging control may be required for higher levels of charging or to reduce grid upgrades, and this will be explored in future work.

Suggested Citation

  • Nadia V. Panossian & Haitam Laarabi & Keith Moffat & Heather Chang & Bryan Palmintier & Andrew Meintz & Timothy E. Lipman & Rashid A. Waraich, 2023. "Architecture for Co-Simulation of Transportation and Distribution Systems with Electric Vehicle Charging at Scale in the San Francisco Bay Area," Energies, MDPI, vol. 16(5), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2189-:d:1079221
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    References listed on IDEAS

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    1. Neaimeh, Myriam & Wardle, Robin & Jenkins, Andrew M. & Yi, Jialiang & Hill, Graeme & Lyons, Padraig F. & Hübner, Yvonne & Blythe, Phil T. & Taylor, Phil C., 2015. "A probabilistic approach to combining smart meter and electric vehicle charging data to investigate distribution network impacts," Applied Energy, Elsevier, vol. 157(C), pages 688-698.
    2. Dima Alame & Maher Azzouz & Narayan Kar, 2020. "Assessing and Mitigating Impacts of Electric Vehicle Harmonic Currents on Distribution Systems," Energies, MDPI, vol. 13(12), pages 1-17, June.
    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. Kong, Weiwei & Luo, Yugong & Feng, Guixuan & Li, Keqiang & Peng, Huei, 2019. "Optimal location planning method of fast charging station for electric vehicles considering operators, drivers, vehicles, traffic flow and power grid," Energy, Elsevier, vol. 186(C).
    5. Clairand, Jean-Michel & González-Rodríguez, Mario & Kumar, Rajesh & Vyas, Shashank & Escrivá-Escrivá, Guillermo, 2022. "Optimal siting and sizing of electric taxi charging stations considering transportation and power system requirements," Energy, Elsevier, vol. 256(C).
    6. Dong, Xiaohong & Mu, Yunfei & Xu, Xiandong & Jia, Hongjie & Wu, Jianzhong & Yu, Xiaodan & Qi, Yan, 2018. "A charging pricing strategy of electric vehicle fast charging stations for the voltage control of electricity distribution networks," Applied Energy, Elsevier, vol. 225(C), pages 857-868.
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