Optimal configuration of electric vehicles for charging stations under the fast power supplement mode

With the development of high-power charging technology for electric vehicles (EVs), fast power supplement mode (FPSM) is favoured by users and operators. An optimal configuration method of fast charging stations (FCSs) under FPSM is proposed in this paper. Firstly, the charging characteristics of the EV battery are analysed, the charging time and electricity supplementation of user's expected are introduced as quantitative indicators for judging whether to charge. According to the different fast supplement needs of different EV types, the matrixtype flexible charging stack is used to classify different levels of charging power. Various EV types in 10-20 min can be achieved fast supplement, which will have good application prospects and feasibility in the future. Secondly, the spatial-temporal distribution of EVs charging demand under the FPSM is predicted based on global positioning system (GPS) and K-means method. Thereby, an optimal FCSs configuration model is established with considering user satisfaction indicators. Voronoi diagram and the improved particle swarm algorithm (PSO) are used to determine the optimal FCSs location and capacity. Moreover, the influence of FCSs on the operation safety of distribution network is added into the model. Finally, the practicality and feasibility of the theory are verified through simulation analysis of examples.

Automated summary

This paper proposes an optimal configuration method for fast charging stations under fast power supplement mode, utilizing analysis of EV battery charging characteristics and prediction of spatial-temporal distribution of EV charging demand to determine the location and capacity of charging stations, aiming to improve user satisfaction and distribution network safety.