Modeling Electric Vehicle Charging Demand with the Effect of Increasing EVSEs: A Discrete Event Simulation-Based Model

Electric vehicle (EV) use is growing at a steady rate globally. Many countries are planning to ban internal combustion engines by 2030. One of the key issues needed be addressed before full-scale deployment EVs ensuring energy security. Various studies have developed models simulate and study hourly electricity demand from EV charging. In this study, we present an improved model based on discrete event simulation, which allows for modeling characteristics individual users, including availability electric supply equipment (EVSE) outside homes charging threshold each user. The illustrated simulating 1000 random vehicles generated using data actual survey. results agree with previous that daily demands do not significantly vary. However, show significant shift in schedule during weekends. Moreover, simulation demonstrated peak can reduced as much 11% if EVSEs made more available homes. Interestingly, behavioral solution, such requiring users fully utilize their EV’s battery capacity, effective reducing (14–17%). Finally, concludes discussing few potential implications policy.