Optimization Of Orderly Charging Strategy For Electric Vehicles Based On Engineering Project

With the growing issues of environment and energy around the world,electric vehicles have attracted widespread attention from the automotive industry and governments because of their high efficiency,low emissions,and independence from fossil energy.replacement of.However,with the increasing number of electric vehicles,users' use habits of vehicles are random,and the charging load generated by large-scale electric vehicles disorderly accessing the distribution network will have a negative impact on the power system.Therefore,it is urgent to formulate relevant charging strategies to reduce or eliminate such adverse effects.Based on the impact of electric vehicle charging load on the power grid,this thesis develops an orderly charging control strategy based on electricity price policies,and uses a multi-level planning optimization method to optimize the charging strategy in layers and partitions.To understand the impact of the charging load,we must first analyze the random factors of the charging needs of electric vehicle users,and sort out the probability distribution of user driving habits by consulting historical data.Based on a full study of the charging load characteristics of electric vehicles and the behavioral characteristics of users,the charging demand model of electric vehicles is established,and the Monte Carlo simulation sampling method is used to model and draw the electric vehicle charging daily load curves under different penetration rates.Compared with the daily electricity load curve of the residential community,the experimental results show that as the penetration rate of electric vehicles increases,the maximum load of the distribution network and the peak-to-peak difference of the load will also increase,resulting in ‘peak on peaking' phenomenon.To alleviate this phenomenon,it is necessary to propose an effective and orderly charging strategy to guide users to change orderly charging.The orderly charging strategy can not only alleviate the negative problems brought by the charging load and improve the safety and stability of the grid operation,but also can bring benefits to users and chargingoperators through some electricity price policies and optimization schemes,which is conducive to the vigorous promotion of electric vehicles.On the basis of verifying that large-scale electric vehicle access charging will cause a huge impact on the distribution network,an orderly charging control strategy and process based on demand response is proposed according to the time-of-daytariff electricity price policy of Henan Province.For the charging piles in the residential area of the project,the mode of partition control is used,and two allocation algorithms are added to the orderly charging control process.Experimental results show that this strategy can achieve the effect of ‘peak cut'.Then based on multi-level planning,an optimization method using multi-objective layered control is proposed,fully considering the grid side and the demand side,and a three-layer optimization model based on different objective functions is established.The three-layer strategy transfers constraints from the top to the bottom,to a certain extent,it can complete the optimization and control by partition autonomy.The example shows that the proposed strategy control optimization method can reduce the peak and valley load difference of the distribution network to a greater extent,effectively reduce the network loss of the distribution network,reduce user charging costs,and increase operator revenue to a certain extent.Promote value and engineering applicability.Finally,a set of charging platform monitoring and management program is designed according to the residential community and platform monitoring habits.The orderly charging control strategy is embedded,and the system is displayed on the interface,which reflects the practical application value of this thesis.