IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v313y2024ics0360544224036119.html
   My bibliography  Save this article

Capacity optimization of PV and battery storage for EVCS with multi-venues charging behavior difference towards economic targets

Author

Listed:
  • Huang, Wenxin
  • Wang, Jianguo
  • Wang, Jianping
  • Zhou, Mi
  • Cao, Jinxin
  • Cai, Li

Abstract

EV users served by multi-venues Electric Vehicle Charging Stations (EVCS) have different charging behaviors, encompassing aspects such as charging duration, energy consumption, and behavioral dispersion, which affect the integrated role of photovoltaic (PV) and battery storage (BS). This study analyzes the charging behavior of drivers at different venues EVCS in Wuhan, China. Additionally, it generates EV fleet load profiles through Monte Carlo simulation, accounting for fluctuations in charging loads due to charging congestion and seasonal differences. A robust optimization (RO) model is proposed for the integration of PV-BS capacity at multi-venues EVCS, with the objective of annual planning and operation economics, further considering PV-EV uncertainty, BS arbitrage and cycle-life decay, and EV fleet charging power control. The planning and operation processes are explicitly given in a hierarchical form and solved by the G&CG algorithm. The results show that the optimal integration capacity of PV and BS is subject to variability based on the charging behaviors observed at different EVCS venues. Furthermore, the sensitivity analysis discusses the implications of broader variations in charging behaviors and their dispersion on capacity integration, as well as the influence of diverse solar irradiation conditions. The insights derived from this study can inform PV-BS capacity integration strategies for EVCS across various venues.

Suggested Citation

  • Huang, Wenxin & Wang, Jianguo & Wang, Jianping & Zhou, Mi & Cao, Jinxin & Cai, Li, 2024. "Capacity optimization of PV and battery storage for EVCS with multi-venues charging behavior difference towards economic targets," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224036119
    DOI: 10.1016/j.energy.2024.133833
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224036119
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.133833?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224036119. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.