| 引用本文: | 曹昉,胡佳彤,罗进奔,郑金钊.基于路网动态模型下EV路径模拟的快速充电站容量配置[J].电力自动化设备,2022,42(10): |
| CAO Fang,HU Jiatong,LUO Jinben,ZHENG Jinzhao.Capacity configuration of fast charging stations based on EV path simulation under dynamic model of transportation network[J].Electric Power Automation Equipment,2022,42(10): |
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| 摘要: |
| 随着快速充电技术的发展，快速充电方式获得越来越多电动出租车司机的青睐，因此需要科学规划快速充电站以满足日益增长的快速充电需求。为此，提出了一种基于交通路网动态模型下电动汽车(EV)路径模拟结果的快速充电站容量配置模型。针对交通路网的拥堵状况随时间变化的特性，建立了交通路网动态拥堵模型；提出了基于交通路网动态拥堵模型的EV路径模拟方法，在Dijkstra算法的基础上进行改进，以耗时最短为目标模拟EV的行驶路径；考虑电动出租车充电需求与乘客乘车需求之间的关系，提出了电动出租车充电需求判断方法，并将其与以耗时最短为目标的路径选择方法相结合，为电动出租车选择快速充电站；在满足配电网运行约束的前提下，以包括快速充电站收益和EV用户收益的综合效益最大为目标函数，建立快速充电站的容量配置模型，并采用粒子群优化算法进行求解。以某市路网为算例，模拟EV的行驶和充电行为，验证所提模型和方法的正确性与有效性。 |
| 关键词: 快速充电站 电动汽车 交通路网 动态拥堵模型 路径模拟 充电需求 Dijkstra算法 容量配置 |
| DOI：10.16081/j.epae.202205003 |
| 分类号:U469.72 |
| 基金项目: |
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| Capacity configuration of fast charging stations based on EV path simulation under dynamic model of transportation network |
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CAO Fang, HU Jiatong, LUO Jinben, ZHENG Jinzhao
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School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
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| Abstract: |
| With the development of rapid charging technology, fast charging method is favored by more and more electric taxi drivers. So, scientific planning of fast charging stations is needed to meet the growing demand for fast charging. Therefore, a capacity configuration model of fast charging stations based on EV(Electric Vehicle) path simulation results under the dynamic model of transportation network is proposed. The dynamic congestion model of transportation network is established according to the characteristics of transportation network congestion changing with time. An EV path simulation method based on the dynamic congestion model of transportation network is proposed, which is improved on the basis of Dijkstra algorithm to simulate the EV travel path with the goal of minimizing time consumption. Considering the relationship between the charging demand of electric taxis and the driving demand of passengers, the judgment method of electric taxis’ charging demand is proposed, and combined with the path selection method aiming at the least time consumption, the fast charging stations are selected for electric taxis. On the premise of satisfying the operation constraints of distribution network, the capacity configuration model of fast charging stations is established with the objective function of the maximum comprehensive benefit including fast charging stations’ income and EV users’ income, and is solved by the particle swarm optimization algorithm. Taking the transportation network in a city as an example, the driving and charging behaviors of EVs are simulated to verify the correctness and effectiveness of the proposed model and method. |
| Key words: fast charging stations electric vehicles transportation network dynamic congestion model path simulation charging demand Dijkstra algorithm capacity configuration |
