Optimization of Electric Truck Routes for Performing Maintenance Services on the Electric Power Distribution Network

Abstract Maintenance activities on electric power distribution networks are an essential tool in achieving a robust electricity supply system that meets society's needs. Regulation indicators require distribution companies to invest in maintenance and frequently maintain their networks. However, current maintenance activities are executed using fossil fuel-powered trucks equipped with aerial baskets and without route planning, resulting in high travel costs. The advent of new technologies, such as electric trucks, raises questions about their feasibility in replacing fossil fuel-powered trucks. In this study, we propose a routing methodology for an electric truck equipped with an aerial basket that performs maintenance activities in electric power distribution networks, aiming to reduce operational costs. The methodology utilized is an extension of the electric travelling salesman problem with time windows, considering partial charging and work schedules. Tests were conducted in the cities of Mairiporã and Atibaia, in the state of São Paulo, analyzing the electric truck travel limits based on battery autonomy and the need for intermediate recharges. The analysis compares electric trucks and regular trucks using an implemented methodology. The results show that the shortest possible route was achieved, all planned activities were completed, and the need for intermediate recharges was identified