Research on Location and Capacity Optimization Method for Electric Vehicle Charging Stations Considering User’s Comprehensive Satisfaction

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.

User Satisfaction of Electric-Vehicles About Charging Stations (Home, Outdoor, and Workplace)

“…In addition, the convenience of using the charging infrastructure significantly affects the people's motivation to purchase EVs (Xue, et al, 2015). Cheng, et al, (2019) confirm that increasing the density of charging stations, lowering the charging price and shortening the charging time can effectively improve user satisfaction. Iyengar, et al, (2016) show that 80th percentile of EVs have at least 75% battery level at the end of their charging session.…”

Location Analysis of Electric Vehicle Charging Stations for Maximum Capacity and Coverage

“…Location and capacity problem of charging networks are further studies in Ref. [31] where customer demand is modelled with an M/M/s queueing model and customer convenience, measured with waiting times, are used as input for the optimisation model. Reference [32] considers both transportation and power grid constraints and solves placement problem by minimisation of station operation and investment cost.…”

Review and Prospects for Evaluating Power Grid Dispatching Service Quality

“…Reference [59] uses the charging fees and initial charging time as the indexes of the electric vehicle users' demand satisfaction, to reduce the peak-to-valley difference in the power grid and improve the users' demand satisfaction. Reference [60] incorporates the charging time, charging cost, and charging convenience into the electric vehicle users' demand satisfaction indexes, thereby providing theoretical references for the scientific location and optimal capacity allocation of the charging stations. References [61] and [62] use the average waiting time and the probability of traffic jams as electric vehicle users' demand satisfaction indicators, to improve the service quality and profit of the charging stations.…”