Variable power regulation charging strategy for electric vehicles based on particle swarm algorithm
Yang Ji, Jian Zhang, Siwei Li, Youjun Deng, Yunfei Mu
Abstract
With the widespread application of electric vehicles, the constant-power charging method that users can charge immediately makes the charging period of the vehicle coincide with the peak period of regular electricity consumption of the distribution network, which will cause the phenomenon of ”peak-on-peak” of the basic load of the power grid. In this paper, a variable power regulation charging optimization strategy is proposed, which takes the charging power and charging state of the electric vehicle in each period as the optimization variables, and uses the particle swarm algorithm to solve the charging strategy. Taking an office area as an example, the results show that the acceptance capacity is significantly improved when the variable power charging strategy is adopted.