Research On Coordinated Optimization Method Of Electric Vehicle Load And Air Conditioning Demand Response In Distribution Network

Because of its energy consumption,green,efficient and pollution-free characteristics,electric vehicles are bound to become the mainstream travel tools in the future and gradually replace traditional fuel vehicles.However,the disorderly charging of a large number of electric vehicles will bring problems such as the increase of power grid load and the reduction of operation stability.At the same time,the demand response strategy continues to develop,and the demand resources can respond to the power grid regulation demand through price incentive.The cost of air conditioning load dispatching is low,the response speed is fast,and accounts for a high proportion of controllable load in summer.It can give play to its significant demand response ability through reasonable price guidance.Therefore,this paper considers the coordinated optimization of the response ability of air conditioning and the charge and discharge of electric vehicles.The specific research contents of this paper are as follows:Firstly,the probability distribution characteristic model of electric vehicle charging load in distribution network based on Monte Carlo method is established.The energy demand characteristics,driving characteristics and battery characteristics of different types of electric vehicles are analyzed.The daily driving mileage and network access time of electric vehicles are randomly selected by Monte Carlo simulation method,and the charging load of a single electric vehicle is calculated.The total charging load curve of electric vehicles in each period of a day is obtained by superimposing the simulated load.The example simulation shows that,Disorderly charging of a large number of electric vehicles will increase the peak valley difference of power grid load,and pose a threat to the stable operation of power grid.Secondly,an adjustable demand response evaluation model of distribution network air conditioning load considering cluster aggregation effect is established.An air conditioning power supply model based on the dynamic characteristics of space heat is established.Considering the user’s electrical comfort,the temperature hysteresis control method is adopted to establish an air conditioning power characteristic model based on space temperature constraints.The adjustment ability of air conditioning individuals and air conditioning aggregates is analyzed.The response ability of air conditioning loads is quantified by four indicators: response capacity,response time,ramp rate and response duration.The response characteristics of air-conditioning aggregates under different temperature adjustments and different scales are obtained through numerical simulation,which provides support for the later research on the coordination and optimization of air-conditioning load and electric vehicle charge and discharge.Finally,a coordinated optimization model of air conditioning load demand response and electric vehicle load based on improved cat swarm algorithm is established.Based on the analysis of the response characteristics of the air conditioning load in the third chapter,considering the air conditioning load and the electric vehicle scheduling compensation cost,the coordinated optimization of the air conditioning load and the electric vehicle load is carried out.The simulation results show that the air conditioning load scheduling alone can not give full play to its response ability,and the economy of electric vehicle scheduling alone is poor;Adopting the coordinated optimal dispatching strategy of air conditioning and electric vehicle charging and discharging can effectively eliminate the peak value of secondary load on the grid side and increase the economic benefits on the user side.