Abstract
The development of electric vehicles has significant value for the sustainable utilization of energy resources. However, the unreasonable construction of charging stations causes problems such as low user satisfaction, waste of land resources, unstable power systems, and so on. Reasonable planning of the location and capacity of charging stations is of great significance to users, investors and power grids. This paper synthetically considers three indicators of user satisfaction: charging convenience, charging cost and charging time. Considering the load and charging requirements, the model of electric vehicle charging station location and volume is established, and the model based on artificial immune algorithm is used to optimize the solution. An empirical analysis was conducted based on a typical regional survey. The research results show that increasing the density of charging stations, lowering the charging price and shortening the charging time can effectively improve user satisfaction. The constructed site and capacity selection optimization solving model can scientifically guide charging station resource allocation under the constraints of the optimal user comprehensive satisfaction target, improve the capacity of scientific planning and resource allocation of regional electric vehicle charging stations, and support the large-scale promotion and application of electric vehicles.
Highlights
With the prominent problem of sustainable development and utilization of fossil energy, the environmental and development problems caused by the greenhouse effect are becoming more and more serious
Due to the inadequate configuration of China's electric charging infrastructure and uneven distribution among regions, the problems of long charging time vehicle charging infrastructure and uneven distribution among regions, the problems of long and high charging cost are exacerbated, which reduces the enthusiasm of users to purchase electric charging time and high charging cost are exacerbated, which reduces the enthusiasm of users to vehicles
On the location problem for charging stations, Dong J et al proposed an activity-based assessment method to analyze the impact of public charging infrastructure construction on increasing driving mileage [11]; Chen S et al set up an optimization model with minimum investment cost and transportation cost as objective function, considering the constraints of capacity, coverage and charging convenience [12]; He F et al modeled the initial charging state of batteries and the car owner’s preference for power consumption uncertainty [13], all of which are solved by the genetic algorithm
Summary
With the prominent problem of sustainable development and utilization of fossil energy, the environmental and development problems caused by the greenhouse effect are becoming more and more serious. Due to the inadequate configuration of China's electric charging infrastructure and uneven distribution among regions, the problems of long charging time vehicle charging infrastructure and uneven distribution among regions, the problems of long and high charging cost are exacerbated, which reduces the enthusiasm of users to purchase electric charging time and high charging cost are exacerbated, which reduces the enthusiasm of users to vehicles. This phenomenon is evident in large cities and has gradually become a key purchase electric vehicles.
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