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Architecture for Co-Simulation of Transportation and Distribution Systems with Electric Vehicle Charging at Scale in the San Francisco Bay Area

Nadia V. Panossian, Haitam Laarabi, Keith Moffat, Heather Chang, Bryan Palmintier, Andrew Meintz, Timothy E. Lipman (telipman@berkeley.edu) and Rashid A. Waraich
Additional contact information
Nadia V. Panossian: National Renewable Energy Laboratory, Golden, CO 80401, USA
Haitam Laarabi: Lawrence Berkeley National Laboratory, Berkeley, CA 94704, USA
Keith Moffat: Transportation Sustainability Research Center, University of California-Berkeley, Berkeley, CA 94704, USA
Heather Chang: National Renewable Energy Laboratory, Golden, CO 80401, USA
Bryan Palmintier: National Renewable Energy Laboratory, Golden, CO 80401, USA
Andrew Meintz: National Renewable Energy Laboratory, Golden, CO 80401, USA
Timothy E. Lipman: Lawrence Berkeley National Laboratory, Berkeley, CA 94704, USA
Rashid A. Waraich: Lawrence Berkeley National Laboratory, Berkeley, CA 94704, USA

Energies, 2023, vol. 16, issue 5, 1-18

Abstract: This work describes the Grid-Enhanced, Mobility-Integrated Network Infrastructures for Extreme Fast Charging (GEMINI) architecture for the co-simulation of distribution and transportation systems to evaluate EV charging impacts on electric distribution systems of a large metropolitan area and the surrounding rural regions with high fidelity. The current co-simulation is applied to Oakland and Alameda, California, and in future work will be extended to the full San Francisco Bay Area. It uses the HELICS co-simulation framework to enable parallel instances of vetted grid and transportation software programs to interact at every model timestep, allowing high-fidelity simulations at a large scale. This enables not only the impacts of electrified transportation systems across a larger interconnected collection of distribution feeders to be evaluated, but also the feedbacks between the two systems, such as through control systems, to be captured and compared. The findings are that with moderate passenger EV adoption rates, inverter controls combined with some distribution system hardware upgrades can maintain grid voltages within ANSI C.84 range A limits of 0.95 to 1.05 p.u. without smart charging. However, EV charging control may be required for higher levels of charging or to reduce grid upgrades, and this will be explored in future work.

Keywords: electric vehicle; grid integration; utility power; electricity distribution; agent-based transportation model; charger siting; co-simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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