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Optimizing electric vehicle fleet integration in industrial demand response: Maximizing vehicle-to-grid benefits while compensating vehicle owners for battery degradation

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  • Leippi, Andre
  • Fleschutz, Markus
  • Davis, Kevin
  • Klingler, Anna-Lena
  • Murphy, Michael D.

Abstract

This paper addresses the integration of electric vehicle (EV) fleets into industrial smart grids to increase operational flexibility. It focuses on an extended multi-objective optimization problem that minimizes two primary objectives: (i) the electricity expenditure of a company using its employees’ EV batteries as temporary distributed energy storage, and (ii) the costs associated with the degradation of EV batteries, given the additional usage from the company’s perspective. In this paper, the utilization of an EV fleet is simulated at the individual car level over a one-year period. These optimization problems were balanced by using real-time electricity prices and the effective demand response (DR) of the company’s electrical load. The company utilized the EVs as battery storage to offset fluctuating electricity prices, while compensating EV owners with free electricity for the costs incurred through degradation of their batteries. The extent to which the company could compensate EV owners while maintaining the viability of vehicle-to-grid (V2G) services in a non-residential scenario was explored. The results established an equilibrium point at which the financial benefits for the company resulting from V2G services was maximized against the negative financial impact of increased battery degradation for EV owners. The results showed that there is a potential mutual benefit between the company and EV owners, even if the company provided EV owners with free charging (based on a percentage of their battery capacity) for each day of their attendance. This mutually beneficial zone ranged from 3%–10% of the battery capacity for AC charging and 6%–17% for DC charging. Optimal Pareto values indicated an economic trade-off that benefited both stakeholders, with DC charging proving significantly more profitable for the company than AC charging (between 257.5% to 38.1% depending on the amount of free charging provided). The findings emphasize the need for an equitable pricing mechanism considering the different characteristics of EVs based on the operational and financial benefits for both parties to create a balanced pricing framework for V2G.

Suggested Citation

  • Leippi, Andre & Fleschutz, Markus & Davis, Kevin & Klingler, Anna-Lena & Murphy, Michael D., 2024. "Optimizing electric vehicle fleet integration in industrial demand response: Maximizing vehicle-to-grid benefits while compensating vehicle owners for battery degradation," Applied Energy, Elsevier, vol. 374(C).
  • Handle: RePEc:eee:appene:v:374:y:2024:i:c:s0306261924013783
    DOI: 10.1016/j.apenergy.2024.123995
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    References listed on IDEAS

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    2. Salvatore Micari & Giuseppe Napoli, 2024. "Electric Vehicles for a Flexible Energy System: Challenges and Opportunities," Energies, MDPI, vol. 17(22), pages 1-26, November.
    3. Tang, Wenhu & Huang, Yunlin & Qian, Tong & Wei, Cihang & Wu, Jianzhong, 2025. "Coordinated central-local control strategy for voltage management in PV-integrated distribution networks considering energy storage degradation," Applied Energy, Elsevier, vol. 389(C).
    4. Dong, Xiaohong & Ren, Yanqi & Zhou, Yue & Si, Qianyu & Dong, Xing & Wang, Mingshen, 2025. "Flexibility characterization and analysis of electric vehicle clusters based on real user behavior data 11The short version of the paper was presented at ICAE2023, Doha, Qatar, Dec 3–5, 2023. This pap," Applied Energy, Elsevier, vol. 387(C).

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