Impact of Strategic Electric Vehicles Driving Behavior on the Grid

TL;DR

This paper models the combined impact of EV driving and charging behaviors on the power grid, comparing strategies for charging scheduling and analyzing the influence of tolls through simulations.

Contribution

It introduces a coupled model of EV driving and charging decisions with efficient charging strategies and evaluates the effect of tolls on charging outcomes.

Findings

Non-load flow strategies perform similarly to load flow based ones

Charging strategies significantly affect grid load

Transportation tolls influence charging behavior

Abstract

In the context of transport electrification, a model coupling Electric Vehicles (EV) driving and charging decisions is considered. While a Traffic Assignment Problem (TAP) is considered for the driving part, the charging operation is done with an exact load flow on a simple distribution network. This setting allows assessing precisely the coupled impact of driving and charging decisions. In particular, to schedule the charging need coming from the driving part, different charging strategies are defined and compared according to a cost metric based on the load flow computation. In view of this metric, the proposed non-load flow based strategies can perform similarly to a load flow based one, and with significantly reduced computation time and data need. Numerical simulations show how a transportation toll can influence the charging results.