A Research On Power Resource Management Strategy Of V2G System

With the rapid development of the current era,the problems of global warming,air pollution,and lack of renewable resources have become increasingly prominent.Electric vehicles have emerged as the times require.Electric vehicles use electricity as a resource to effectively reduce vehicle dependence on fuel and carbon dioxide emissions.However,with the development of electric vehicles,the lag of the construction of charging facilities has become a hindrance to its development.In addition,as a large number of electric vehicles are connected to the grid for disorderly charging,causing sudden peaks in power consumption,the losses caused to the grid facilities are immeasurable.Therefore,the scientific deployment of electric vehicle charging infrastructure is the premise and basis for the development of electric vehicles.Moreover,using the advantages of two-way transmission of vehicle-to-grid energy and information,rational and effective allocation and scheduling of power resources is the focus of sustainable development of electric vehicles.Based on the above background,the thesis studies the management and allocation strategies of charging pile infrastructure system resources and electric vehicle charging power resources in the parking lot charging station scenario.In order to solve the problem that electric vehicle users are troublesome to charge due to unreasonable distribution of electric vehicle charging piles,the economic factors and demand factors of basic system facilities construction are fully considered.Based on economic factors,the thesis considers the construction cost of charging piles and the operating costs and benefits.The Monte Carlo method is used to predict the occupancy of charging piles,and a charging pile allocation scheme with minimum daily output ratio is proposed.In addition,combining the economic factors and the demand factors,the thesis proposes a charging pile allocation strategy under the multi-park parking cooperative service in the community,aiming at reducing the cost of purchasing power for the parking lot exceeds the quota and the time cost of the user when considering the load balance of multiple parking lots in the residential area.The artificial fish swarm algorithm is used to solve the problem,and the expected results are obtained through reasonable data.In order to solve the influence of sudden power consumption peak caused by disorderly charging of large-scale electric vehicles into the grid through reasonable allocation of electric energy resources,this paper proposes a kind of electric parking in parking lot based on dynamic grading adjustment power and variable sliding window model.The vehicle charging scheduling strategy flexibly performs power allocation in the scheduling period by dynamically grading the power so that the actual daily power load and the quota difference are minimized,and the actual power load can be effectively stabilized.In addition,based on the charging,combined with the user feeding behavior,and considering the battery life model,this paper proposes a charging and feeding scheduling scheme that reduces the number of feeds and feed depth of the user during charging and dispatching.The simulation results show that the charging scheduling scheme can reduce the difference between the actual daily power load and the quota as much as possible while satisfying the user’s power demand.The charging and dispatching scheme considering the battery factor makes the charging scheduling scheme based on the charging scheduling scheme.The difference between the actual electricity load and the quota is further reduced,and the impact on the battery life of the electric vehicle due to the feeding can be reduced.