Optimal Programming On Allocation Of Electric Vehicle Battery Swap Network

Traditional fuel vehicles depend on fossil energy as a source of energy.In its life cycle it discharges a lot of pollutants into the outside air.That's one of the reasons for the deterioration of environmental quality.The depletion of fossil energy,and the increase of environmental problems,along with the promotion of public awareness of environmental protection jointly promote the process of electric vehicles to replace the traditional fuel vehicles.At the same time,the development of battery energy storage technology and electric drive technology has created the conditions for the popularization of electric vehicles.The reasonable construction of electric vehicle charging and changing network infrastructure is an important prerequisite for the promotion of electric vehicle penetration rate.The factors need to be considered of the construction of electric vehicle charging network include but not limited to,charging traffic network in the planning area for electricity cost,construction and operation of facilities charge for electricity demand distribution,distribution network constraints,the users of electric vehicles driving habits etc..In this paper,the optimal layout of the electric vehicle for power plant is studied.Taking into account the characteristics of the phases of the construction of the electric vehicle for the electric vehicle,the construction of the electric power is divided into the stage of demonstration phase of public welfare and the stage of commercial operation.The stage demonstration of public welfare is the initial stage of the construction of power plants.In this stage,electric vehicles are mainly confined to the electric car because of the shortage of power plants.They cannot completely cover all of the demand for electricity.Commercial operation stage is the mature stage of the construction of the power station,with large amount of investment,the power plants can completely cover the electricity demand point.During the commercial operation stage,using minimum total social cost(including for power plant construction cost and user cost,battery for electric distribution costs)as objective function,using the power plant's interval and distance,the number of motors as constraint conditions to establish the power plant planning model.In this paper,carbon emission equivalent cost is introduced into the total social cost,which makes the environmental factors included in the scope of the planning of the power station.In the stage of demonstration phase of public welfare model,the 0-1 integer programming method is used to solve the model.In the stage of commercial operation model,combined with the characteristics of computational geometry and intelligent algorithm,puts forward 3 kinds of electric vehicles in plant planning and joint solution: based on the improved particle algorithm and association of Voronoi diagram method,based on the improved genetic algorithm,and based on genetic particle algorithm and association of Voronoi diagram method.Finally,the planning scheme and the solving method of the electric vehicle battery replacement station are verified by an example.The simulation results show that the proposed scheme is practical and effective for the joint solution based on computational geometry and intelligent algorithm.