Predicting the Impact of Electric Mobility on the Distribution Network

Department

Energy Department

Main research activities/topics/projects

The primary goal of the proposed project is to develop a methodology to estimate the additional power demand imposed by electric vehicles on the electricity grid. The motivation behind developing a temporal-spatial simulation was the need for a detailed and high-resolution model that considers the integrated functioning of both traffic and electric grid systems. This research aims to fill the gap in conducting large-scale integrated electric grid and transportation network analysis. This research proposes a methodology that employs Geographic Information Systems (GIS) datasets combined with origin and destination travel matrices to simulate vehicle flow in a transportation network, predicting the temporal-spatial behavior of traffic flow. The results from the traffic flow model provide information about the route choice and arrival times of cars at their destinations. Based on the traveled distance and arrival time, the additional power demand from electric vehicles is estimated for the electric grid. To recap, the proposed research is based on multidisciplinary approaches adopted to co-simulate car routing and distribution grid loading. The final goal is to develop a procedure suited to be executed at a national level (i.e., in a wide area), managing several country-specific regulatory frameworks.

Special entry requirements

Skills in coding, Python, GIS, optimization techniques

Duration in months (min-max)

Phd Sanswhich: 3-6

PostDoc: 2-4