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Location planning of charging station for electric vehicle based on urban traffic flow

机译:基于城市交通流量的电动汽车充电站选址规划

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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.
机译:电动汽车的大规模使用大大增加了交通压力和配电网络的负荷,在复杂的城市交通中,合理规划电动汽车充电站对于智能交通和智能电网尤为重要。本文分析了城市交通流系统,考虑了电动汽车的交通特性和服务半径内的客观实际行驶行为过程,利用马尔可夫模型预测了电动汽车的交通需求,提出了充电的实时运输成本。车站要实现经营性纯收入的最大化,约束条件是出行效用对交通流量,交通密度和配网的要求,采用免疫优化算法进行比较。仿真结果表明,该规划模型和方法具有重要的理论和实用价值。

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