Extensive use of electric vehicles will help reduce the environmental impact of fossil fuels and is a major factor in the transition to a low carbon transport economy. However, if every owner of an electric vehicle chose to charge their vehicle at similar times, for example in the weekday evening, this could lead to significant operational problems including congestion in the electric distribution network.
In this project, researchers aim to apply mathematical modelling to real-world data sets and develop a decentralised scheduling approach for electric vehicle charging. This new approach will allow a central authority to oversee the network and resource usage, and allow the vehicle owners to represent their individual preferences over charging levels and costs. Electric vehicles can also act as distributed storage for the entire grid, giving more resilience against peaks and troughs in use and reducing costs for users and distributors.
The outcomes of this research will be of major benefit to the national electricity grid as they anticipate how to manage charging electric car batteries, and make renewable energies compatible with the UK energy infrastructure.
Part of The Alan Turing Institute-Lloyd’s Register Foundation Programme for Data-Centric Engineering.