Open AccessElectric vehicle dispatching in smart charging station: a pricing strategy
Author(s) -
Xuliang Zhao,
Jiguang Xue,
Tong Wu,
Hong Da Xue,
Sitong Dong,
Yan Liu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/675/1/012163
Subject(s) - charging station , electric vehicle , particle swarm optimization , mathematical optimization , computer science , nash equilibrium , scheduling (production processes) , operations research , engineering , mathematics , power (physics) , physics , quantum mechanics
With the rapid development of electric vehicles (EVs), intelligent charging stations will surely become the focus of development. However, the disordered charging of electric vehicles will cause unbalanced resource utilization. Therefore, it is necessary to study the scheduling problem of electric vehicles in charging stations. In this paper, we propose a new electric vehicle dispatching method to realize balanced utilization of resources and high economic benefits. We model the multi-charging station pricing strategy problem as a non-cooperative continuous strategy game with an integrated objective combining charging cost and charging station capacity. Then the existence of Nash equilibrium is proved, and we combining particle swarm optimization with iterative search method to solve the equilibrium point. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.