Demand Forecasting and Configuration Optimization of EV Charging Lamppost Points Using Scenario-Based Modeling

This work develops a techno-economic configuration framework to the EV charging lamppost points on public roads under different traffic volume scenarios. The novel framework includes a traffic flow analysis, a charging demand estimate of streetlights with integrated EV charging points, and a configuration optimization. Following the traffic flow analysis, the daily EV count passing on roads are calculated based on real-world traffic flow data. Monte Carlo simulation of this study reveals the power demand for EV sporadic charging on street lighting systems based on multiple scenarios, including the arterial road, the minor arterial road and distributor road. The construction number and location for EV charging lamppost points are recommended to optimize techno-economic benefit for various traffic volume roads as commonly found in cities like Ordos. This work provides a veritable solution that both driver and city authorities can adopt for future implementation of EV charging lamppost projects in contemporary low-population towns and cities.