Research On Ev Demand Response And Charge And Battery Swap Strategy Based On Users’ Trip Characteristics

"The 14 th Five-Year Plan" clearly states that China will vigorously implement the development strategy of new energy vehicles in the future.In the near future,electric vehicles(EVs)will occupy a large and rising market share in the domestic and international automobile markets.Scholars point out that the uncontrolled charging of EVs will have many negative impacts,which will pose new challenges in the areas of grid planning and stable operation.However,since EVs have individual power battery units,they can be considered as small devices with energy storage characteristics.If the travel characteristics and charging characteristics of EVs can be reasonably analyzed and guided with reasonable strategies,EVs can instead be used to maintain the stable operation of China’s power grid.To address the above issues,this thesis conducts the following research with the background of travel characteristics of EV users in an urban area.Firstly,by analyzing the travel characteristics of EV users in an urban area,a trip-chain model is constructed,all the trips made by users in a day are described with the information of their spatial and temporal characteristics,activity purpose and travel mode.Second,the spatial characteristics of EV trips are refined to build a dynamic transportation road network model including geographic area road network architecture,regional traffic information and charging facilities.The dynamic planning algorithm is used to obtain the user travel paths,and the subjective and objective conditions of EV users in participating in demand response are analyzed by combining the trip conditions of users.Then,based on the above,a fuzzy control strategy is proposed for two fuzzy response factors,namely user charging necessity and grid load level,A joint network with 16-node road network architecture and 30-node distribution grid architecture is used as a simulation basis to verify that the strategy can evaluate the demand responsiveness of EV groups in different functional area plots such as residential,work and entertainment and commercial areas in cities in real time,and the demand responsiveness in this thesis refers to the electric vehicle to grid(V2G)response power and its delayed charging power.The V2 G responsiveness and delayed charging power of EVs in EV clusters in work and recreation areas are found in the above study that not stable enough,and the responsiveness is still low even when the Time of Use(TOU)tariff is incentivized.In the face of this problem,considering that power exchange can be a complement to charging and discharging mode,this thesis finally develops a charge and battery swap strategy to improve(s,S)battery inventory for battery swap stations after analyzing the trip characteristics of users,and launches a study to realize the economic and optimal operation of the grid with the battery usage efficiency of battery swap stations and the daily load fluctuation of centralized charging stations as the objective function.