Multi-objective orderly charging strategy for electric vehicles based on interactive network model

In order to solve the shortcomings of traditional orderly charging strategy, such as the inability to accurately respond to EV load, the difficulty to formulate an effective charging strategy and the lack of positive response from users. In this paper, a novel interactive network model of distribution network and electric vehicles is constructed. The optimization factor is assigned to the charging station, so that the scheduling for electric vehicles is no longer random. Further based on the time-of-use price for the charging, the multi-objective orderly charging model from the point of both users and power grid is established. The minimum charge cost and the minimum variance of load are taken as the multi- objective function with the constraints of charging demand and rated capacity of transformer. Finally, the simulation by NSGA-II on different numbers of electric vehicles shows that the proposed orderly charging strategy can significantly reduce the charging cost and load peak valley for a certain scale of electric vehicles charging. It is beneficial to ensure the safety and stability of the distribution network and improve users satisfaction. (c) 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

Automated summary

By constructing an innovative interactive network model and a multi-objective orderly charging model, this research effectively addresses the shortcomings of traditional charging strategies, reducing charging costs and load fluctuations while enhancing user satisfaction.