The purpose of this study is to propose a customer-oriented method for locating charging stations based on queue theory.
We first integrate queuing theory with customer satisfaction to analyze the composition of charging stations. Next, we examine both functional and spatial coordination among these stations. Finally, we develop an enhanced genetic algorithm incorporating flying levy and self-adaptive mechanisms.
Our findings indicate that the customer-oriented approach significantly boosts customer satisfaction. Additionally, improved coordination enhances the feasibility of the charging stations and analyzing the investment payback period contributes to increased profitability.
This research uniquely applies queue theory to the selection of charging stations, explores the dynamics of coordination and investigates the payback period of investments.
