  The ongoing electrification of the transportation fleet will increase the
load on the electric power grid. Since both the transportation network and the
power grid already experience periods of significant stress, joint analyses of
both infrastructures will most likely be necessary to ensure acceptable
operation in the future. To enable such analyses, this paper presents an
open-source testbed that jointly simulates high-fidelity models of both the
electric distribution system and the transportation network. The testbed
utilizes two open-source simulators, OpenDSS to simulate the electric
distribution system and the microscopic traffic simulator SUMO to simulate the
traffic dynamics. Electric vehicle charging links the electric distribution
system and the transportation network models at vehicle locations determined
using publicly available parcel data. Leveraging high-fidelity synthetic
electric distribution system data from the SMART-DS project and transportation
system data from OpenStreetMap, this testbed models the city of Greensboro, NC
down to the household level. Moreover, the methodology and the supporting
scripts released with the testbed allow adaption to other areas where
high-fidelity geolocated OpenDSS datasets are available. After describing the
components and usage of the testbed, we exemplify applications enabled by the
testbed via two scenarios modeling the extreme stresses encountered during
evacuations.
