Method for Finding the Best Charging Station in the Power Internet of Things

With the popularization of electric vehicles and the long charging time of them, it is easy to cause long queues in some charging stations. The waiting time of electric vehicles is too long, and the voltage load in different charging stations is also seriously unbalanced. This paper introduces a method of finding the optimal charging station based on the spanning tree algorithm in the Internet of Things environment, establishes the geographical topology model of the charging stations, and proposes a charging scheduling algorithm. On the basis of not changing the original construction of the charging station, considering from the users’ side demand, the most time-saving charging station is recommended for the electric vehicles, which has the lowest charging cost. This method can also balance the load of each charging station effectively.