Research On Charging Station Planning And Charging Guidance Strategy For Electric Vehicles

Electric vehicles(EVs),which have obvious advantages in energy conservation and emission reduction,will gradually replace traditional fuel vehicles as the major means of transportation in the future.With the rapid development of electric vehicles,it will be the main concern to electric vehicle users about how to choose an optimal charging station and charging path for charging,avoiding power shortage during driving.At the same time,it will be the key issue for grid about how to ensure the safe and stable operation of the power grid when a large-scale electric vehicles is connected to the grid.Based on this,considering the benefit of power system,charging station,and the optimal charging navigation strategy of electric vehicles,the paper studies the charging guide strategy of electric vehicle.The main research contents are as follows:1)An electric vehicle charging stations planning model is established,which takes into account road network information and distribution network constraints.Considering the charging demand of electric vehicles,the capacity constraints of charging stations and the constraints of distance between charging stations,a location method for charging stations based on Voronoi diagram and a method for determining the charging capacity of charging stations based on the M/G/k queuing theory model are proposed.Taking into account the cost of investment and the driving cost of electric vehicles,with the goal of minimizing the total cost of the whole society,the planning model of charging stations is established based on the regional road network structure,vehicle flow distribution,distribution network structure and distribution network constraints.The particle swarm optimization is used to solve the problem.Finally,the impact of large-scale electric vehicles on the network power quality after the the charging station expansioning is evaluated by power flow algorithm.2)A destination Oriented Electric Vehicle Charging Guiding Strategy is proposed.First,the overall architecture of the electric vehicle charging navigation system is established.Then,this paper focuses on the convenience of the electric taxi to the next destination and the electric private car to the final destination after charging completed,taking into account the road network structure,the distribution of electric vehicle charging demand and the equipment utilization rate.Through Floyd shortest path algorithm and queuing theory M/G/k model,considering the interests of both users and charging stations,a destination-oriented electric vehicle charging navigation strategy based on charging service network data monitoring platform is established.The adaptive mutation particle swarm algorithm is used to solve the problem.Finally,the effectiveness of the proposed charging navigation strategy is simulated and verified in the planning area.3)A charging strategy for electric vehicles under the time-of-use servicing price is proposed.First,the paper establishes a traffic simulation model based on the characteristics of the electric vehicle travel.Then,considering the time-of-use servicing price of the charging station and the state of charge of the electric vehicle,an optimal charging strategy based on the utility function and an optimal charging station selection strategy based on the charging navigation model for the electric vehicle are formulated.With the goal of maximizing the income of the charging station agents,the paper formulates a time-of-use servicing pricing strategy for the charging station.The bilayer particle swarm optimization algorithm is used to solve the problem.Finally,the influence of the EV charging strategy on charging price of the electric vehicle,the profit of the agent and the daily load of the grid under the time-of-use servicing price is analyzed quantitatively through simulation.