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Method for deployment and location selection of charging piles based on 0-1 integer programming model

An integer programming model and technology of charging piles, applied in the direction of electric digital data processing, special data processing applications, instruments, etc., can solve problems such as low utilization rate and unreasonable location of charging piles

Inactive Publication Date: 2016-09-14
ZHEJIANG WANMA NEW ENERGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of low utilization rate of charging piles in the prior art due to the obvious unreasonable location of charging piles, and provide a method and device for location selection of charging piles based on 0-1 integer programming model

Method used

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  • Method for deployment and location selection of charging piles based on 0-1 integer programming model
  • Method for deployment and location selection of charging piles based on 0-1 integer programming model
  • Method for deployment and location selection of charging piles based on 0-1 integer programming model

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Experimental program
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Effect test

Embodiment

[0054] A method for selecting a site for charging pile deployment based on a 0-1 integer programming model, comprising the following steps:

[0055] Step 1, collect the traffic flow in the target area,

[0056] Step 2, and calculate the average daily traffic flow of electric vehicles in each target area, calculate the charging probability of each target area, and calculate the number of charging piles that should be built according to the traffic flow and charging probability of the target area,

[0057] Step 3, according to the number of charging piles that should be built in each target area, and then complete the analysis based on the 0-1 integer programming model through the 0-1 coverage model,

[0058] Among them, the 0-1 coverage model is:

[0059] Y i = Σ j = 1 16 x i j ...

Embodiment 2

[0080] In this embodiment, the target area is determined by the cluster-based regional travel intention intensity analysis method. The cluster-based regional travel intention intensity analysis method includes a data collection step. The crawler technology is used to collect public transportation, taxis, taxis, etc. in each intention area. Travel track records of cars, bicycles or other public transportation,

[0081] The data sorting step is to clean the travel trajectory records collected by the data collection step to obtain the travel trajectory records stored in a structured form,

[0082] In the clustering analysis step, a clustering algorithm is used to analyze the spatio-temporal network of the structured stored travel trajectory records to obtain a clustering analysis result,

[0083] In the step of analyzing the intensity of travel intention, the intensity of travel intention in each intended area is calculated according to the cluster analysis results, and when the ...

Embodiment 3

[0095] In this embodiment, it is basically the same as Embodiment 1, the difference is that in this embodiment, according to Y i The evaluation value of the charging pile is selected in order from high to low in the intended area, and the intentional area is determined by the cluster-based regional travel intention strength analysis method to determine the strength of the intended area. Site selection and deployment of charging piles in order of travel willingness from high to low.

[0096]This embodiment fully considers the importance of its adjacent areas, and the following indicators need to be considered: the capacity of the parking lot in this area; the importance of this area in the network of citizens' willingness to travel; the number and distance of surrounding parking lots. Comprehensively consider the importance of an area in citizens' travel intentions, consider the feasibility of building a station in this area at a micro level, and consider the parking space capa...

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Abstract

The invention relates to a method for deployment and location selection of charging piles based on a 0-1 integer programming model with the aim of solving defects in the prior art. The technical scheme of the method for deployment and location selection of charging piles based on the 0-1 integer programming model is characterized by comprising following steps: step 1, collecting traffic flow of a target region; step 2, calculating average traffic flow of electric cars per day of each target region, calculating the charing efficiency of each target region at each position and obtaining the number of charging files needed to be constructed according to traffic flow and charging probability of each target region; step 3, finishing analyzing the 0-1 integer programming model by means of a 0-1 coverage model on the basis of the number of charging piles needed to be constructed at all target regions; step 4, orderly selecting locations and deploying charging files from high to low based on the evaluation value of Yi.

Description

technical field [0001] The present invention relates to a charging pile deployment site selection method and device, in particular to a charging pile deployment site selection method and device based on a 0-1 integer programming model. Background technique [0002] The current site selection evaluation method proposes a two-step screening method that can take into account geographical factors and service radius to determine candidate sites for charging stations, but does not comprehensively consider the correlation between traffic flow and adjacent areas. The importance of an area is not an isolated indicator, but related to the importance of its adjacent areas. The following indicators need to be considered: (1) the capacity of the parking lot in the area; (2) the importance of the area in the network of citizens' travel intentions; ( 3) The number and distance of the surrounding parking lots. In the past 10 years, with the development of power battery technology, electric ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 何若虚李喆炜
Owner ZHEJIANG WANMA NEW ENERGY
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