Optimization Method of Charging Station Layout Based on Internet of Things Under the Background of Sustainable Development

Abstract

In the context of sustainable development, the research on the optimization method of charging station layout based on the Internet of things can effectively shorten the distance between the charging demand point and the charging station candidate point. Based on the perception of the charging status of the electric station and the transmission layer of the RFID, the charging system is designed to collect and store the relevant information from the charging system of the electric station in real time according to the charging status of the electric station and the transmission layer of the RFID. Based on the above information, taking the minimum distance from the user to the charging station, the expected waiting time and the construction cost as the objective function, all demand points are allocated to the corresponding charging station, charging can be provided to users only by building a charging station at the candidate point, and users at all demand points can only enjoy charging services at a specific charging station as the constraint. The optimization model of charging station layout is constructed and solved by genetic algorithm to obtain the best charging station layout. The experimental results show that the layout scale of electric vehicle charging stations based on this method has the advantages of global optimization, strongest adaptability and good economic benefits, and the increase in the number of charging stations can effectively improve user satisfaction.