计及混合交通均衡的电力交通耦合网络扩展规划

Expansion Planning of Electric Traffic Coupling Network Considering Mixed Traffic Equilibrium

为了降低大规模电动汽车出行造成的交通瘫痪风险和电网安全运行风险,在建立配电网和交通网耦合模型基础上,提出计及混合交通均衡的电力交通耦合网络双层规划模型。上层模型是以道路通行时间、道路扩容、新建充电桩、变电站扩容和新建配电网线路的成本之和最小为目标,建立的投资规划模型。下层模型是基于用户均衡理论,考虑道路扩容和充电站拥堵效应,建立的混合交通均衡模型。然后,上层模型通过混合粒子群算法进行求解,下层模型结合构建的车主最优出行路径模型,通过IPOPT求解器进行求解。以Nguyen交通网和14节点的配电网构建耦合网络进行仿真分析,结果得出电动汽车出行需求在增加0、25%、50%、75%和100%5个场景下的最优扩展规划策略,验证了所提规划方法的有效性。

In order to reduce the risk of traffic paralysis caused by large-scale electric vehicle travel and the risk of safe operation of the power grid,based on the establishment of the coupled model of the distribution network and the transportation network,a two-layer planning model of the power-traffic coupled network considering the equilibrium of mixed traffic is proposed.The upper model is an investment planning model established to minimize the sum of the costs of road travel time,road expansion,new charging piles,substation expansion,and new distribution network lines.The lower model is a mixed traffic equilibrium model established based on the user equilibrium theory,considering road capacity expansion and charging station congestion effects.Then,the upper model is solved by the hybrid particle swarm algorithm,and the lower model is solved by the IPOPT solver combined with the optimal travel path model of the vehicle owner.The Nguyen transportation network and the 14-node distribution network are used to build a coupled network for simulation analysis.The results show that the optimal expansion plan for electric vehicle travel demand increases by 0%,25%,50%,75%,and 100%,which verifies the effectiveness of the proposed planning method.