考虑网络转移性能的城市快速充电网络规划

Urban Fast Charging Network Planning Considering Network Transfer Performance

针对当前充电站规划布局研究未考虑电力系统和交通系统的深度交互以及用户在充电站之间的转移问题,提出了一种考虑网络转移性能的城市快速充电设施规划方法。首先,结合充电站的多重属性,分析了充电网络、用户出行特性、交通路网和配电网之间的耦合交互关系,并进一步基于复杂网络分析了用户的出行规律;其次,分别构建了考虑道路流量水平约束的充电网络模型和基于用户多样决策的站间转移行为模型;再次,以兼顾电动汽车充电站运营商、电动汽车用户以及配电网的全社会年成本建立充电站选址定容模型;在此基础上,采用基于小世界网络模型交互的粒子群优化算法进行求解,通过在粒子之间构建小世界网络拓扑结构实现信息的交互和传递,并根据粒子的多样性自适应调整粒子间的重连概率;最后,通过实际算例验证了所提规划模型和优化算法的有效性。

Aiming at the current research on the planning and layout of charging stations that does not consider the in-depth interaction between the power system and the transportation system and the transfer of users between charging stations,this paper proposes a planning method for urban rapid charging facilities that considers network transfer performance.First,combined with the multiple attributes of the charging stations,the coupling interaction between the charging network,the user travel characteristics,the transportation network and the power distribution network is analyzed,and the user’s trip rules based on the complex network is further analyzed.Then the charging network model constrained by the road flow level and the inter-station transfer behavior model based on the user’s diverse decision-making are established.Thirdly,the charging station site selection and capacity model based on the overall social cost of the electric vehicle charging station operators,the electric vehicle users and the distribution network is constructed.On this basis,the particle swarm optimization algorithm based on the interaction of the small-world network model is used to solve the above models.The small-world network topology is constructed between the particles to realize the interaction and transmission of information,and the particles are adaptively adjusted according to the diversity of the particles.Finally,through actual calculation examples,the effectiveness of the planning model and the optimization algorithm proposed in this paper is verified.