  Compensation mechanisms are used to counterbalance the discomfort suffered by
users due to quality service issues. Such mechanisms are currently used for
different purposes in the electrical power and energy sector, e.g., power
quality and reliability. This paper proposes a compensation mechanism using EV
flexibility management of a set of charging sessions managed by a charging
point operator (CPO). Users' preferences and bilateral agreements with the CPO
are modelled via discrete utility functions for the energy not served. A
mathematical proof of the proposed compensation mechanism is given and applied
to a test scenario using historical data from an office building with a parking
lot in the Netherlands. Synthetic data for 400 charging sessions was generated
using multivariate elliptical copulas to capture the complex dependency
structures in EV charging data. Numerical results validate the usefulness of
the proposed compensation mechanism as an attractive measure both for the CPO
and the users in case of energy not served.
