Uchida, Hideaki (The University of Osaka), Obinata, Masato (The University of Osaka), Yoshizawa, Shinya (The University of Osaka), Yamaguchi, Yohei (The University of Osaka), Shimoda, Yoshiyuki (The University of Osaka), Okura, Hiroyuki (Kansai Transmission and Distribution, Inc.), Minami, Masahiro (Kansai Transmission and Distribution, Inc.), Takeda, Keiichi (Kansai Transmission and Distribution, Inc.)

Bidirectional Co-Simulation of Road Traffic and Power Distribution Networks During Electric Vehicle Charging

Scheduled for presentation during the Invited Session "S19a-Artificial Transportation Systems and Simulation" (TH-LM-T19), Thursday, November 20, 2025, 11:50−12:10, Surfers Paradise 1

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 18, 2025

Abstract

Accelerating the electrification of transport is critical for meeting decarbonization targets; however, fast charging of electric vehicles (EVs) can overload distribution feeders already challenged by high rooftop photovoltaic penetration. To quantify when and where such stresses emerge, we constructed a bidirectional co-simulation that exchanges real-time data between a multi-agent traffic model and power flow analyses for a suburban service area in Japan. The framework captures second-by-second coupling: every EV plug-in event updates the nodal loads, while evolving feeder constraints provide feedback on driver behavior as dynamic power- or queue-based charging controls. This study reveals how integrated traffic and power grid simulations can help planners co-optimize charger siting, power–electronic setpoints, and demand-management policies.