An electric vehicle fast charging station site selection and sizing method based on a travel probability matrix

Abstract

The invention discloses an electric vehicle fast charging station site selection constant volume method based on a travel probability matrix, and relates to the technical field of electric vehicle public charging facility planning, and the method comprises the steps: obtaining road network parameters in a planning area; obtaining an OD travel matrix according to different types of electric vehicleroad traffic flow backstepping so as to obtain an OD travel probability matrix; Monte Carlo method, OD travel probability matrix and improvement speed. The flow model simulates a driving track of theelectric vehicle in one day to obtain a quick charge demand space-time distribution matrix in one day; the space-time distribution matrix of the fast charging demand is analyzed and optimized according to the site selection and constant volume optimization model of the charging station; the charging station position and the charger configuration number are obtained; according to the invention, the electric vehicle fast charging demand space-time distribution matrix is utilized, the Voronoi diagram is adopted to divide the service range of the charging station, the optimal position of the charging station is determined by improving the particle swarm algorithm, and the capacity of each charging station is optimized by utilizing the queuing theory, so that the planning result of the electric vehicle fast charging station is more accurate and scientific.

Description

technical field [0001] The invention relates to the technical field of public charging facility planning for electric vehicles, and more specifically relates to a method for selecting the location and capacity of fast charging stations for electric vehicles based on a travel probability matrix. Background technique [0002] The energy crisis and global warming are increasingly valued by countries all over the world. The electric vehicle industry has ushered in a huge development opportunity. It is estimated that the number of electric vehicles in my country will reach 5 million in 2020. With the increasing penetration rate of electric vehicles, Urban charging facilities will be built on a large scale. [0003] Whether the planning of electric vehicle charging stations is reasonable or not will directly affect people's charging satisfaction, which in turn will affect the development of the electric vehicle industry in the future. Make special plans. [0004] Many scholars at...

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Problems solved by technology

[0005] The purpose of the present invention is: in order to solve the problem that the location of the existing electric vehicle charging stations is too subjective and does not consider the complexity of the time-space distribution of charging demand, resulting in unreasonable distribution of charging stations, the present invention provides a travel probability-based The method of location selection and capacity determination of electric vehicle fast charging stations based on matrix, by simulating the operation rules of electric vehicles, obtains the space-time distribution matrix of electric vehicle fast charging demand, uses the Voronoi diagram to divide the service range of charging stations, and determines the optimal location of charging stations by improving the particle swarm algorithm , using queuing theory to optimize the capacity of each charging station, so that the planning results of electric vehicle fast charging stations are more accurate and scientific

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