A Personalized Orderly Charging Strategy for Electric Vehicles Considering Users’ Needs

摘要

This paper creatively proposes the term of willingness index to quantify the willingness of users participating in orderly charging, and establishes a mathematical model of electric vehicles (EVs) orderly charging. The charging strategy mainly includes two stages. Firstly, develop an overall charging plan with the aim of minimizing the charging cost adopting genetic algorithm (GA). Then, assign the charging plan to each EV. Based on the willingness index of each user participating in the dispatch and the initial state of charge (SOC) of the vehicles, each EV is arranged to carry out an orderly charge and a dynamic time sequential charge price is established. Based on the model, Monte Carlo simulation method was used to simulate the charging behavior of EVs in three scenarios with different charge strategies. This paper also simulates the orderly charging process of the proposed strategy under different distributions of willingness indices. The results verified the effectiveness and superiority of the strategy, and the impacts of different willingness index distributions on the charging process.