  The Danish transmission system operator, Energinet, has recently released
innovative grid codes allowing stochastic flexible resources to bid their
flexibility in Nordic ancillary service markets, provided that the probability
of the reserve capacity bid to be successfully realized is at least 90%. For
resources like batteries with a limited energy reservoir, Energinet imposes
additional requirements when bidding into Nordic ancillary service markets.
Taken into account all these requirements, this paper develops a
chance-constrained optimization model for an aggregator of electric vehicles to
optimally place a reserve capacity bid in the Nordic Frequency Containment
Reserve for Disturbances (FCR-D) market while accounting for uncertainty in its
future consumption baseline. We consider both FCR-D up and down markets,
reformulate and solve the proposed joint chance-constrained model using two
distinct sample-based methods, namely ALSO-X and conditional value-at-risk.
Using real data from 1400 charging boxes in Denmark in the time period of March
2022 to March 2023, we present the out-of-sample profit, showing the vehicle
owners could have a saving of 6-10% in their annual electricity bill by
providing FCR-D services. We have also observed a synergy effect, implying more
vehicles in a single portfolio enables placing a larger bid per vehicle,
compared to a collective bid of multiple portfolios with the same number of
vehicles in total.
