Research On Orderly Temperature Control Scheduling Of Electric Vehicle Onboard Air Conditioning Considering Flexible Load

Traditional internal combustion engine vehicles have exacerbated the global energy crisis and environmental pollution,and the use of clean energy and pollution-free electric vehicles has developed rapidly.The large-scale disordered charging of electric vehicles will also cause the "peak on peak" of load in local areas of the power grid,resulting in overload operation of substations,which is not conducive to the safe and stable operation of the power distribution network.At the same time,global warming intensifies people's demand for air conditioners,which makes the phenomenon of high peak load and long duration in extreme seasons,and brings huge challenges to the operation of power grid.Based on this background,this thesis mainly studies the following aspects:1.Establish the equivalent thermal parameter model of fixed building airconditioning system and analyze the regulation mode of building air-conditioning system.On this basis,the relationship between the vehicle air-conditioning power and the cabin temperature is established,and the heat dissipation model of the mobile electric vehicle air-conditioning system is analyzed.The control method of the vehicle air-conditioning system is analyzed by the composition of the heat load in the cabin,and the correctness of the model is verified by an example analysis.2.Based on the heat dissipation model of the vehicle air conditioning system,an orderly charging strategy for electric vehicles based on the temperature regulation of the electric vehicle air conditioning is proposed.Combined with the travel chain of electric vehicles,charge and discharge constraints,time-of-use electricity prices,and substation capacity constraints,with the minimum user charging cost as the objective function,a decentralized optimal scheduling model for electric vehicles considering temperature control is established.The results show that temperature-controlled scheduling can effectively reduce the disorderly charging load of electric vehicles.Using Lagrangian relaxation algorithm to optimize the charging period of electric vehicles can effectively serve the power grid "cutting peaks and filling valleys" and reduce the user's charging costs.3.To expand the user-side flexible load control margin,adding building air conditioning load.Establish a road network-grid coupling model,divide the road network structure into three categories: residential area,working area and commercial area.Multi-objective optimization function is established with the minimum user electricity cost and the distribution network load fluctuation as minimum.The joint optimization model of electric vehicles and building air conditioners uses genetic algorithm to solve the model.The simulation results show that different functional areas have different disordered power loads at different periods of time due to different user usage rules,and the phenomenon of "peak on peak" will be aggravated.The joint optimization model considering the space and time temperature control not only solves the new peak problem under the single objective optimization,but also can effectively reduce the grid load and the power consumption cost of users.