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

Method for selecting and optimizing typical scenes in electric automobile charging facility planning

A technology for electric vehicles and charging facilities, applied in database models, structured data retrieval, electrical digital data processing, etc.

Active Publication Date: 2017-09-19
SOUTHEAST UNIV
View PDF7 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the current construction of electric vehicle charging and discharging facilities in my country has just started, and the relevant planning and construction theories still lag behind the needs of actual construction
The solution to the planning problem of electric vehicle charging facilities needs to be based on certain typical days or typical scenarios. The selection of typical scenarios will significantly affect the planning results, but there are few related studies at present.

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
  • Method for selecting and optimizing typical scenes in electric automobile charging facility planning
  • Method for selecting and optimizing typical scenes in electric automobile charging facility planning
  • Method for selecting and optimizing typical scenes in electric automobile charging facility planning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0189] This embodiment has selected an area of ​​20km 2 area for simulation. The power distribution network in this area adopts the IEEE30-node distribution network model, and establishes a 37-node traffic network model, such as image 3 shown. In the traffic network structure diagram, the branch roads with thin solid lines are smooth road sections, the branch roads with dashed line are busy road sections, and the branch roads with thick solid line are congested road sections. Assume that the plan requires that the average percentage of electric vehicle waiting time exceeding the limit is not greater than 1.5%. This embodiment specifically describes the method of using a clustering algorithm to determine a typical day for planning.

[0190] Based on the random simulation of Matlab, 100 sets of charging demand data of alternative typical days are obtained, and each set of data satisfies the following distribution:

[0191] 1) Number of electric vehicles: there are 1,000 ele...

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 discloses a method for selecting and optimizing typical scenes in electric automobile charging facility planning, which comprises the steps of building an improved Floyd algorithm based electric automobile locating and sizing model; building a charging facility planning scheme evaluation system; aggregating electric automobile charging demands from a time dimension and a space dimension based on a K-means clustering algorithm, and screening or construction a typical day; solving a corresponding charging facility planning scheme; and evaluating the construction of the typical day according to the charging facility planning scheme evaluation system. According to the invention, traffic factors such as road congestion are considered, so that actual situations are reflected more comprehensively. The most representative one or more typical days can be acquired according to the time-space two-dimension K-means clustering based planning typical day construction method, typical charging demand scenes are reflected, and the calculation amount of a planning problem is significantly. Through controlling the number of clustering centers, evaluation indexes of the planning scheme can be improved, and the satisfaction degree of users is improved.

Description

technical field [0001] The invention relates to electric vehicle charging facilities, in particular to a method for selecting and optimizing typical scenes of electric vehicle charging facility planning. Background technique [0002] Traditional electric vehicles use petroleum as fuel, consume a large amount of fossil energy, and exacerbate the global energy crisis, and the exhaust gas contains a large amount of carbon dioxide and harmful gases, which has brought about a series of environmental problems such as climate warming and urban smog. The number of cars is growing rapidly. In 2015, the number of cars in the world has reached 1.12 billion. The energy and environmental problems accompanying it are becoming more and more serious. Electric vehicles use electric motors instead of internal combustion engines, and use electric energy as their power source, which greatly improves energy utilization efficiency and reduces emissions of greenhouse gases and harmful gases in cit...

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
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F17/30
CPCG06F16/285G06Q10/04G06Q10/06315G06Q10/067G06Q50/06Y02D10/00
Inventor 高赐威梅杰
Owner SOUTHEAST UNIV
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