A Multi-Time-Space Interaction Method For Vehicle And Grid Based On Agent And Regional Time-of-Use Electricity Price

Electric vehicles are conducive to reducing the consumption and dependence on fossil energy in the transportation sector and provide an effective way to utilize renewable energy for transportation systems,and the development of electric vehicles is now being vigorously promoted in countries around the world.However,as an new demand-side load,the high random charging and discharging behavior of electric vehicles in time and space will have a great impact on the operation and planning of power systems.Therefore,how to orderly guide the charging and discharging behavior of electric vehicles(especially electric private cars with long stopping time and low sensitivity to charging time)is an urgent research.Therefore,in order to address the problem that the existing methods for guiding the orderly charging and discharging of electric private cars do not fully utilize the mobile energy storage characteristics of electric private cars,this paper carries out a study on the multi-time-space interaction method of vehicle and grid based on the agent and regional time-of-use tariff,and the research results achieved are as follows.(1)A three-level interaction framework is constructed between electric private vehicle owners,distribution network operator,and electric vehicle charging and discharging agent.The electric private vehicle owners grant the agent the right to schedule their charging and discharging behavior and propose their charging demand constraints in order to gain more revenue and reduce the time cost of participating in the multi-time-space interaction.Distribution network operators make decisions on differentiated regional time-of-use charging and discharging tariffs in order to address the spatial and temporal imbalance of the load in each region of the city,with a view to balancing the load in different regions of the city in the temporal and spatial dimensions by using the mobile energy storage characteristics of electric private vehicles.Based on the regional charging and discharging tariffs,the agent helps the vehicle owner to gain benefits and improve the regional loads by formulating the charging and discharging plan for electric private vehicles,so as to obtain the charging and discharging revenue draw and the grid peaking subsidy,thus achieving a win-win situation for the vehicle owner,the distribution grid operator and the agent.(2)For the three subjects in the interaction framework,the relevant models are constructed and the solution methods are proposed respectively.Firstly,for electric private vehicle users,a space-time travel demand and space-time response model for electric private vehicle owners is established based on travel chain,Monte Carlo and fuzzy theory,and a battery cost loss model is developed.Secondly,for distribution network operator,the optimization model of peak and valley period of regional time-of-use tariff is established with the objective of minimizing the peak-valley difference and load fluctuation rate of each region.Again,for electric vehicle agent,an optimization model of electric private vehicles charging and discharging scheduling is established with the objectives of maximizing charging and discharging profit for all electric private vehicle owners and maximizing peak subsidy of the grid.Finally,a two-layer alternating solution method based on improved GA and PSO is proposed for the optimization model of peak and valley periods of regional time-of-use tariff and the optimization model of electric private vehicles charging and discharging scheduling.(3)Simulation of calculations is carried out in a typical urban area to complete the analysis of the time-space travel demand characteristics of electric private vehicle owners,the optimization results of regional time-of-use tariff peak and valley periods,the economics,the effectiveness of the solution algorithm,and the cost loss of electric vehicle batteries in the process of multi-time-space interaction.The results show that the multi-time-space interaction method based on this paper can make full use of the mobile energy storage characteristics of electric private vehicles to balance the loads of different types of regions in the city in the space-time dimension,so that the grid energy can interact multi-time-space through electric private vehicles and reduce the load peak-valley difference and load fluctuation rate in each region,while the agents and electric vehicle users can gain benefits and achieve a win-win situation for all three.