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Optimizing electric vehicle scheduling strategies for advanced distribution system planning and operation with comprehensive cost-benefit analysis

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  • Shang, Mengya
  • Zhang, Lin
  • Duan, Hongcheng

Abstract

Electric vehicles (EVs) are a compelling way to advance environmentally sustainable transportation systems, thanks to their potential to significantly reduce carbon emissions. Nevertheless, the seamless integration of EVs into distribution systems is fraught with challenges that require thorough investigation. With the ultimate goal of creating an ideal planning plan, the primary objective of this research is to examine electric vehicle planning strategies (EVPSs) utilizing a thorough cost and benefit analysis technique. Because EVs may operate as both a dispersed energy source and a load, they present the idea of Vehicle-to-Grid (V2G) technology. An EV with V2G technology installed can actively support the distribution system's power needs, particularly in the area of reactive power support. In order to fully benefit from integration of electric vehicles (EVs) into distribution systems, EV charging activities must be coordinated with the concurrent availability of V2G technology. This study involves the implementation of two separate PSs, each of which focuses on specific aspects of distribution system improvement. Active power distribution (APD) and reactive power distribution (RPD) are the two categories into which the strategies are separated. Their shared objective is to reduce system losses by strategically utilizing the V2G technology that is built into electric vehicles. The APD technique is predicated on the idea of minimizing losses by optimizing EV charging and discharging (CDC). On the contrary, strategy based on RPD revolves around minimizing losses through optimal charging of EVs and smart injection of reactive power into the distribution system. In addition, this research presents an in-depth cost-benefit analysis of the developed EVPSs, which provides valuable insights from a planning perspective. Finally, this study assesses how the distribution system's reorganization has improved the system's planning and operation. The effectiveness and resilience of the suggested strategy are convincingly illustrated by simulations conducted on a 33-bus distribution system, which validate these crucial observations.

Suggested Citation

  • Shang, Mengya & Zhang, Lin & Duan, Hongcheng, 2024. "Optimizing electric vehicle scheduling strategies for advanced distribution system planning and operation with comprehensive cost-benefit analysis," Energy, Elsevier, vol. 307(C).
    • Handle: RePEc:eee:energy:v:307:y:2024:i:c:s0360544224024447
    DOI: 10.1016/j.energy.2024.132670
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    References listed on IDEAS

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    1. Gandhi, Oktoviano & Rodríguez-Gallegos, Carlos D. & Zhang, Wenjie & Srinivasan, Dipti & Reindl, Thomas, 2018. "Economic and technical analysis of reactive power provision from distributed energy resources in microgrids," Applied Energy, Elsevier, vol. 210(C), pages 827-841.
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    1. Sun, Yuxin & Huang, Xujun & Wang, Guibin & Zhang, Xian & Qiu, Jing & Strbac, Goran, 2025. "Low-carbon traffic resilience-enhanced robust planning of coupled transportation and power distribution network based on modified user equilibrium model," Applied Energy, Elsevier, vol. 397(C).
    2. Rehman, Anis Ur & Lu, Junwei & Du, Bo & Bai, Feifei & Sanjari, Mohammad J. & Hossain, Md Alamgir, 2026. "Vehicle-to-grid technology for load balancing and energy management: A comprehensive review of technical, economic and environmental perspectives," Applied Energy, Elsevier, vol. 402(PB).

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