Abstract:

The present paper deals with the provision of ancillary services to the power system through the scheduling of the charging requests of electric vehicles. The scheduling process is based on a hybridization of the Artificial Bee Colony algorithm (h-ABC). It proved to be very effective in limiting the forecasting error affecting the commitments on the DAM, producing an increase in revenues of about 17% with respect to the base case scenario. The starting of e-cars charging is supposed to be postponed according to predetermined deadlines set by users. With a precautionary approach, charging processes are assumed non-preemptable. To highlight the potential benefits of the approach in a real-life scenario, a techno-economic assessment is performed, taking as reference the rules in place in Italy and using real data from the market. Moreover, the analyses performed also proved that the delay of EVs charging processes did not introduce any detrimental effect on the overall quality of the e-mobility service provided to users.