Joint-Optimization Planning of Electrified Logistic System considering Charging Facility Locations and Electric Logistic Vehicle Routing

The promotion of electric vehicles with low energy consumption and emission has become a promising strategy to mitigate global climate threats. In the logistics industry, conventional fuel-based vehicles are gradually replaced by electric logistics vehicles (ELVs) to electrify the logistic system, The location selection of charging stations is important in terms of the economic and logistic efficiency of using ELVs. As the existing methods have treated the cost of charging stations and the ELV routing as isolated problems, this paper proposes a joint-optimization planning approach that concurrently models these two problems to derive the overall optimal charging station locations as well as the optimal logistic routing, which can reflect the coupling effect of location and routing in electrified logistic system planning. Furthermore, a genetic algorithm with best-first search method is deployed to find the optimal solution from the formulated joint-optimization problem. A case study on a benchmark logistic distribution system verifies the necessity and effectiveness of the proposed joint-optimization planning method.