What types of user strategies lead to networks that are inherently resilient to overloads of demand or to temporary outages of failed resources?

This is the central research question of the project “Decentralised real-time electric vehicle charging: optimality, fairness and resilience”, in which ERAdiate participates via doc. Ing. Ľuboš Buzna. The project, to be run from 2017 to 2018, is associated with the scientific programme of Alan Turing Institute and has received funding from Lloyd’s Register Foundation programme to support data-centric engineering. It is coordinated by the University of Cambridge (Dr. Richard Gibbens), and involves co-investigators from the University of Durham and the University of Žilina.

The project intends to develop algorithms to coordinate charging of individual electric vehicles based on a decentralised scheduling. Such approach should allow a central authority to oversee the network and resource usage but allow vehicle owners to represent their individual preferences over charging levels and costs. Real-world data describing mobility and charging behaviour are considered to be pivotal in understanding the stochastic spatial-temporal demands placed on the networks and are used to parametrize mathematical and simulation models.

For further information on the project, please contact doc. Ing. Ľuboš Buzna.