Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Electric vehicle charging station planning method considering traffic network flow

A technology for electric vehicles and transportation networks, applied in instruments, data processing applications, information technology support systems, etc., to solve problems such as ignoring the characteristics of public services

Inactive Publication Date: 2014-04-02
STATE GRID CORP OF CHINA +3
View PDF4 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the existing relevant literature regards charging (swapping) stations as ordinary power facilities for planning, while ignoring their characteristics of providing public services.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electric vehicle charging station planning method considering traffic network flow
  • Electric vehicle charging station planning method considering traffic network flow
  • Electric vehicle charging station planning method considering traffic network flow

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The optimization model used in the present invention to solve the planning of the electric vehicle charging station includes three steps of determining the objective function, determining and solving constraint conditions.

[0052] Step 1: Build the objective function

[0053] 1. Calculation of captured traffic flow

[0054]Assuming that when an electric vehicle passes by a charging station, regardless of the remaining battery power level at this time, the owner will accept the charging service until it is fully charged. Considering the car GPS navigation and the driving experience of the car owner, it is assumed that the owner of the electric car will choose the shortest path from the starting point to the destination as the daily driving route, and the shortest path and its passing nodes can be obtained by the Floyd algorithm; The traffic flow generated by electric vehicles can be obtained through the gravity space interaction model. Objective function and gravity s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an electric vehicle charging station planning method considering traffic network flow. The method comprises the following steps: referencing an intercepting location model in a traffic field, taking largest captured traffic flow, minimum network loss of a power distribution system and minimum node voltage deviation as an objective, establishing a multi-objective decision model, then determining a reasonable weight coefficient of each objective function after being normalized by using a super efficiency data envelopment analysis evaluation method, and transforming a multi-objective optimization problem to a single objective optimization problem, later putting forward an improved binary particle swarm optimization algorithm to solve a single objective optimization model. The method considers the urban traffic network traffic, electric car driving mileage and location problem of an electric vehicle charging station which affects a distribution network. The example results of the method show that the planned charging station location can provide convenient and fast charging services for more electric cars, and further improve the safety and reliability of the system operation.

Description

technical field [0001] The invention belongs to the technical field of electric vehicle charging station planning, and relates to a method for planning charging station candidate sites by using information such as traffic network and electric vehicle mileage. Background technique [0002] So far, the research on charging station planning at home and abroad is still relatively preliminary, and a complete and systematic charging station planning model and method have not yet been formed. Most of the existing relevant literature regards charging (swapping) stations as ordinary power facilities for planning, while ignoring their characteristics of providing public services. In fact, electric vehicle charging stations have two attributes. Firstly, the charging station is a public service facility for urban transportation, its function is similar to that of a gas station, and it provides services for vehicles; secondly, the charging station is a kind of power-consuming facility, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 李捷郭晓君王健陈彬王辉王贵斌赵俊华文福拴
Owner STATE GRID CORP OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products