Andrew wins 'best paper' at #ARC2016
Andrew won 'best paper' at Newcastle University School of Electrical and Electronic Engineering's Annual Research Conference 2016.
Establishing Electric Vehicle Charging Load Flexibility For Supporting The Power System Without Impacting Driver Usability
Electric Vehicles (EVs) have been proposed previously to be a form of flexible electrical load (including potentially vehicle to grid (V2G) generation) that could be controlled to help support distribution networks. This is because they are typically stationary 95% of the time, potentially plugged into the grid and have a relatively large battery on board. This paper proposes an aggregation and control methodology for the grid to consider a number of EVs in a similar way to more established Energy Storage Systems (ESS) allowing existing ESS control algorithms to be utilised. Central to the methodology is the knowledge that flexibility will only be realised if drivers are willing to use Utility Controlled Charging (UCC) posts and as such the drivers’ requirements are considered; a minimum amount of energy is guaranteed to be within each vehicle at the time of departure.