Estimating Risk-Aware Flexibility Areas for EV Charging Pools via Stochastic AC-OPF
Abstract
This paper introduces a stochastic AC-OPF (SOPF) for the flexibility management of electric vehicle (EV) charging pools in distribution networks under uncertainty. The SOPF considers discrete utility functions from charging pools as a compensation mechanism for eventual energy not served to their charging tasks. An application of the proposed SOPF is described where a distribution system operator (DSO) requires flexibility to each charging pool in a day-ahead time frame, minimizing the cost for flexibility while guaranteeing technical limits. Flexibility areas are defined for each charging pool and calculated as a function of a risk parameter involving the solution's uncertainty. Results show that all players can benefit from this approach, i.e., the DSO obtains a risk-aware solution, while charging pools/tasks perceive a reduction in the total energy payment due to flexibility services.
Cite
@article{arxiv.2301.00564,
title = {Estimating Risk-Aware Flexibility Areas for EV Charging Pools via Stochastic AC-OPF},
author = {Juan S. Giraldo and Nataly Banol Arias and Pedro P. Vergara and Maria Vlasiou and Gerwin Hoogsteen and Johann L. Hurink},
journal= {arXiv preprint arXiv:2301.00564},
year = {2024}
}