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). 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.

An Algorithm for the Ancillary Services Provision by E-Mobility-based Virtually Aggregated Mixed Units

Falabretti D.;Gulotta F.
2020-01-01

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). 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.
2020
Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
978-1-7281-7455-6
aggregation
ancillary services
Electric vehicles
optimization
power dispatch
scheduling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1150369
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