会议专题

Location Planning of Charging Station for Electric Vehicle Based on Urban Traffic Flow

  Large-scale use of electric vehicles significantly increase traffic pressure and load of distribution network, in complex urban traffic, rational planning electric vehicle charging station is particularly important for intelligent transportation and smart grid. This paper analyzes the urban traffic flow system, considered the traffic characteristics of electric vehicle and objective actual travel behavior process within the service radius, Using the Markov model to predict traffic flow demand of electric vehicles, it presents a real-time transport costs of charging stations to realize operating net income maximization, constraints are travel utility of traffic flow, traffic density and distribution network requirements, the use of immune optimization algorithm to compare. Simulation results show that the planning models and methods have important theoretical and practical value.

electric vehicle charging station urban traffic flow Markov model immune algorithm

LIU Guang ZENG Chengbi

School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,China

国际会议

2016中国国际供电会议(CICED2016)

西安

英文

1-5

2016-09-01(万方平台首次上网日期,不代表论文的发表时间)