Two Layer Genetic Algorithm for the Charge Scheduling of Electric Vehicles
The advent of Electric Vehicles (EV) may introduce disturbances to the operation of the Power Grid, due to the great demands of electric power that is required during the simultaneous charging of large EV fleets. Towards this end, novel approaches for the management of the EV charging have been proposed in recent literature. Nevertheless, the implementation of a framework that allows flexibility in the definition of the decision making objectives, along with user defined criteria is still a challenge. Towards addressing this challenge, a framework for the smart charging of EVs is presented in this paper. The smart charging is facilitated by a two layer Genetic Algorithm that operates in Charging Stations with various types of chargers that are connected to multiple charging points in a resource sharing manner. The benefits of the proposed approach are the fast optimisation time, the inclusion of user defined criteria, and the extraction of feasible solutions considering the availability of the chargers in the station. The communications between the EV and the Charging Station are facilitated by the Open Platform Communications Unified Architecture (OPC UA) standard. The proposed algorithm succeeds into finding competitive solutions even during charging scenarios with conflicting criteria.
2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)