Volume 61

Optimizing Electric Truck Charging Schedules Using Lévy Arithmetic Optimization with Sweden’s Grid Load Data Gamze Nalcaci, Eva Thorin, Anders Avelin, Fredrik Wallin

Abstract

Electric trucks (ETs) offer a potential route towards decarbonizing the transportation sector and reducing transportation-related greenhouse gas emissions. Nonetheless, deploying many ETs brings about operational difficulties regarding optimizing charging strategies which mitigate the cost while guaranteeing stability on grid level. In this paper, we propose a new application of the Lévy Arithmetic Optimization (LAO) algorithm to address the challenges of ET charging schedule optimization. Incorporating high-resolution, real-time load data from Sweden’s electricity grid, the proposed framework dynamically adjusts ET charging power based on grid capacity and electricity prices. The results show that for a fleet of 100 ETs the optimization can give 15.53% savings in total charging costs compared with a baseline scenario. In addition, the method improves state-of-charge (SOC) management and lightens load on the grid, giving scalable, cost-effective and grid-friendly electrification of heavy-duty transportation.

Keywords electric trucks, charging schedules, Lévy arithmetic optimization, cost-efficient charging, grid stability