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A two-stage stochastic optimization model for scheduling electric vehicle charging loads to relieve distribution-system constraints

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  • Wu, Fei
  • Sioshansi, Ramteen

Abstract

Electric vehicles (EVs) hold promise to improve the energy efficiency and environmental impacts of transportation. However, widespread EV use can impose significant stress on electricity-distribution systems due to their added charging loads.

Suggested Citation

  • Wu, Fei & Sioshansi, Ramteen, 2017. "A two-stage stochastic optimization model for scheduling electric vehicle charging loads to relieve distribution-system constraints," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 55-82.
    • Handle: RePEc:eee:transb:v:102:y:2017:i:c:p:55-82
    DOI: 10.1016/j.trb.2017.05.002
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    References listed on IDEAS

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    1. Xiaomin Xi & Ramteen Sioshansi, 2016. "A dynamic programming model of energy storage and transformer deployments to relieve distribution constraints," Computational Management Science, Springer, vol. 13(1), pages 119-146, January.
    2. He, Fang & Wu, Di & Yin, Yafeng & Guan, Yongpei, 2013. "Optimal deployment of public charging stations for plug-in hybrid electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 47(C), pages 87-101.
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    6. 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.
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    Citations

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    Cited by:

    1. Liu, Lu & Zhou, Kaile, 2022. "Electric vehicle charging scheduling considering urgent demand under different charging modes," Energy, Elsevier, vol. 249(C).
    2. Syed Muhammad Arif & Tek Tjing Lie & Boon Chong Seet & Syed Muhammad Ahsan & Hassan Abbas Khan, 2020. "Plug-In Electric Bus Depot Charging with PV and ESS and Their Impact on LV Feeder," Energies, MDPI, vol. 13(9), pages 1-16, April.
    3. Zongfei Wang & Patrick Jochem & Hasan Ümitcan Yilmaz & Lei Xu, 2022. "Integrating vehicle‐to‐grid technology into energy system models: Novel methods and their impact on greenhouse gas emissions," Journal of Industrial Ecology, Yale University, vol. 26(2), pages 392-405, April.
    4. Jangho Park & Rebecca Stockbridge & Güzin Bayraksan, 2021. "Variance reduction for sequential sampling in stochastic programming," Annals of Operations Research, Springer, vol. 300(1), pages 171-204, May.
    5. Grigorii Veviurko & Wendelin Böhmer & Laurens Mackay & Mathijs de Weerdt, 2022. "Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability," Energies, MDPI, vol. 15(4), pages 1-17, February.
    6. Stavros Lazarou & Vasiliki Vita & Christos Christodoulou & Lambros Ekonomou, 2018. "Calculating Operational Patterns for Electric Vehicle Charging on a Real Distribution Network Based on Renewables’ Production," Energies, MDPI, vol. 11(9), pages 1-15, September.
    7. Kayhan Alamatsaz & Sadam Hussain & Chunyan Lai & Ursula Eicker, 2022. "Electric Bus Scheduling and Timetabling, Fast Charging Infrastructure Planning, and Their Impact on the Grid: A Review," Energies, MDPI, vol. 15(21), pages 1-39, October.
    8. Jorge García Álvarez & Miguel Ángel González & Camino Rodríguez Vela & Ramiro Varela, 2018. "Electric Vehicle Charging Scheduling by an Enhanced Artificial Bee Colony Algorithm," Energies, MDPI, vol. 11(10), pages 1-19, October.
    9. Lauvergne, Rémi & Perez, Yannick & Françon, Mathilde & Tejeda De La Cruz, Alberto, 2022. "Integration of electric vehicles into transmission grids: A case study on generation adequacy in Europe in 2040," Applied Energy, Elsevier, vol. 326(C).
    10. Hu, Xu & Yang, Zhaojun & Sun, Jun & Zhang, Yali, 2021. "Sharing economy of electric vehicle private charge posts," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 258-275.
    11. Yao, Zhaosheng & Wang, Zhiyuan & Ran, Lun, 2023. "Smart charging and discharging of electric vehicles based on multi-objective robust optimization in smart cities," Applied Energy, Elsevier, vol. 343(C).
    12. Ayman Esmat & Julio Usaola & Mª Ángeles Moreno, 2018. "A Decentralized Local Flexibility Market Considering the Uncertainty of Demand," Energies, MDPI, vol. 11(8), pages 1-32, August.
    13. Seddig, Katrin & Jochem, Patrick & Fichtner, Wolf, 2019. "Two-stage stochastic optimization for cost-minimal charging of electric vehicles at public charging stations with photovoltaics," Applied Energy, Elsevier, vol. 242(C), pages 769-781.
    14. Bohlayer, Markus & Fleschutz, Markus & Braun, Marco & Zöttl, Gregor, 2020. "Energy-intense production-inventory planning with participation in sequential energy markets," Applied Energy, Elsevier, vol. 258(C).
    15. Schoch, Jennifer & Gaerttner, Johannes & Schuller, Alexander & Setzer, Thomas, 2018. "Enhancing electric vehicle sustainability through battery life optimal charging," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 1-18.
    16. Shen, Zuo-Jun Max & Feng, Bo & Mao, Chao & Ran, Lun, 2019. "Optimization models for electric vehicle service operations: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 462-477.
    17. Stavros Lazarou & Vasiliki Vita & Lambros Ekonomou, 2018. "Protection Schemes of Meshed Distribution Networks for Smart Grids and Electric Vehicles," Energies, MDPI, vol. 11(11), pages 1-17, November.

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