EDF vehicle charging under deadline uncertainty
Resumen:
In this paper, we analyze the performance of the EDF scheduling policy for charging electrical vehicles when the exact deadlines are not known by the scheduler. Instead, they are declared by users. We quantify the effect of this uncertainty in a mean field regime, and show that incentives appear for users to under-report their sojourn time. We characterize the average gain for a given uncertainty model and devise a policy to curtail strategic users.
| 2021 | |
| Agencia Nacional de Investigación e Innovación | |
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Vehiculos Electricos. Ingeniería y Tecnología Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información |
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| Inglés | |
| Agencia Nacional de Investigación e Innovación | |
| REDI | |
| https://hdl.handle.net/20.500.12381/467 | |
| Acceso abierto | |
| Reconocimiento 4.0 Internacional. (CC BY) |
| Sumario: | In this paper, we analyze the performance of the EDF scheduling policy for charging electrical vehicles when the exact deadlines are not known by the scheduler. Instead, they are declared by users. We quantify the effect of this uncertainty in a mean field regime, and show that incentives appear for users to under-report their sojourn time. We characterize the average gain for a given uncertainty model and devise a policy to curtail strategic users. |
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