Collaborative Optimization Of Transportation Network And Power Grid Considering Demand Transfer Characteristics Of Electric Vehicles

In the era of new energy transformation,electric vehicle power battery technology is constantly developing,and dynamic wireless charging technology is gradually being promoted.However,with the integration of large-scale electric vehicle charging loads into the power grid,the coupling between the transportation network and the power grid further deepens,resulting in traffic congestion and voltage congestion during peak periods of travel and electricity consumption.A charging station is a physical coupling node between the transportation network and the power grid.On the one hand,its charging price can change the travel and charging demand of electric vehicles,and on the other hand,its charging load can also affect the power flow of the distribution network.Based on the above background,this article studies the collaborative optimization strategy of transportation network and power grid under different traffic assignment models,based on the characteristics of electric vehicle user demand transfer and real-time road congestion,coupled by charging electricity prices and charging loads.This article first introduces the theories of semi static traffic assignment and dynamic traffic assignment,and constructs a road network coordination optimization framework under dynamic wireless charging conditions.For dynamic traffic assignment during traffic congestion periods,a cellular transmission model is used to simulate the dynamic loading process of traffic flow,and traffic assignment is achieved based on the optimal criteria of the dynamic system.In the framework of road network coordination optimization:solving the optimal power flow problem on the distribution network side,formulating the source output and node charging electricity prices;The spatiotemporal distribution of electric vehicle charging load is changed on the transportation network side through charging electricity prices.Considering the transfer characteristics of electric vehicle travel and charging demands at different time periods,a road network coordination optimization model based on semi dynamic traffic allocation is proposed.Firstly,using the charging price of distribution network nodes and the charging load of charging stations as a bridge for collaborative optimization between the two networks,based on the semi dynamic traffic allocation theory,the transmission process of electric vehicle demand in adjacent time periods is depicted,and the traffic flow allocation ability of the transportation network and the power flow control ability of the distribution network are explored.Secondly,combining the mixed user equilibrium model of the transportation network and the optimal power flow model of the distribution network,a collaborative optimization model in both time and space is proposed for the two networks.Finally,the simulation verifies that the proposed model is beneficial for reducing energy consumption and alleviating traffic congestion.On the transportation network side,a joint pricing system based on voltage congestion pricing and road congestion pricing is introduced,while flexible control devices are added to the distribution network side.A dynamic traffic allocation based road network coordination optimization model is proposed.Considering that semi-dynamic traffic allocation cannot accurately and meticulously depict the traffic flow during peak congestion periods,a path based cellular transmission model is used to depict the flow loading process of dynamic traffic allocation,and joint pricing is used to dynamically balance the traffic flow during congestion periods.At the same time,flexible regulation equipment such as energy storage stations and capacitor banks on the distribution network side should be combined to alleviate voltage congestion.Finally,the effectiveness of the proposed model was verified on IEEE 30 nodes and Nguyen 13 nodes systems.