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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2505.09817 |
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| _version_ | 1866909610879746048 |
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| author | Alexeenko, Polina Bruchon, Matthew Bennett, Jesse |
| author_facet | Alexeenko, Polina Bruchon, Matthew Bennett, Jesse |
| contents | While electric vehicles (EVs) often exhibit substantial flexibility, harnessing this flexibility requires precise characterization of its timing and magnitude. This paper introduces the reduction potential matrix, a novel approach to EV load flexibility modeling which is both straightforward to calculate and intuitive to interpret. This paper demonstrates the approach by quantifying flexibility for two distinct commercial vehicle groups--freight vehicles and transit buses--using simulated charging data from Virginia. While both groups are found to have substantial flexibility, its properties vary across the groups. Naturally, this variability manifests in differences in each group's role as a grid resource. The paper concludes with a discussion on how system planners, fleet operators, and other stakeholders can use the matrix to assess and leverage EV flexibility. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_09817 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Measuring Flexibility through Reduction Potential Alexeenko, Polina Bruchon, Matthew Bennett, Jesse Systems and Control While electric vehicles (EVs) often exhibit substantial flexibility, harnessing this flexibility requires precise characterization of its timing and magnitude. This paper introduces the reduction potential matrix, a novel approach to EV load flexibility modeling which is both straightforward to calculate and intuitive to interpret. This paper demonstrates the approach by quantifying flexibility for two distinct commercial vehicle groups--freight vehicles and transit buses--using simulated charging data from Virginia. While both groups are found to have substantial flexibility, its properties vary across the groups. Naturally, this variability manifests in differences in each group's role as a grid resource. The paper concludes with a discussion on how system planners, fleet operators, and other stakeholders can use the matrix to assess and leverage EV flexibility. |
| title | Measuring Flexibility through Reduction Potential |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2505.09817 |