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Charging station load prediction method based on user multi-selection

A technology of load forecasting and charging stations, applied in forecasting, data processing applications, instruments, etc., can solve the problem of no combination of multiple influencing factors, and achieve high accuracy

Active Publication Date: 2019-08-13
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that multiple influencing factors are not combined in the process of existing charging station load forecasting, the present invention provides a charging station load forecasting method based on multiple choices of users

Method used

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  • Charging station load prediction method based on user multi-selection
  • Charging station load prediction method based on user multi-selection
  • Charging station load prediction method based on user multi-selection

Examples

Experimental program
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Effect test

Embodiment 1

[0053] A charging station load forecasting method based on multiple choices of users, which is applied to such as figure 2 In the scenario shown, the method includes as figure 1 The following steps are shown:

[0054] S1. Determine the location range for prediction, and obtain the relevant parameters of the charging station and the electric vehicle to be charged within the location range, the relevant parameters include the number of charging stations within the location range, the number of charging stations in each The number of charging piles, the number of electric vehicles;

[0055] S2. Obtain the impact of different factors on the selection of charging stations by corresponding users of electric vehicles within the scope of the location, and calculate the attractiveness of each charging station to corresponding users of electric vehicles a i,n ;

[0056] S3. According to the attractive force a i,n Calculate the number of electric vehicles in the charging station at an...

Embodiment 2

[0059] A charging station load forecasting method based on multiple choices of users, which is applied to such as figure 2 In the scenario shown, the method includes the following steps:

[0060] S1. Determine the location range for prediction, and obtain the relevant parameters of the charging station and the electric vehicle to be charged within the location range, the relevant parameters include the number of charging stations within the location range, the number of charging stations in each The number of charging piles, the number of electric vehicles;

[0061] S2. Obtain the impact of different factors on the selection of charging stations by corresponding users of electric vehicles within the scope of the location, and calculate the attractiveness of each charging station to corresponding users of electric vehicles a i,n ;

[0062] The specific steps include:

[0063] S21. Within the scope of the location, obtain the distance between the electric vehicle and each ch...

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Abstract

The invention discloses a charging station load prediction method based on user multi-selection, and the method comprises the steps: S1, determining a predicted place range, and obtaining the relatedparameters of a charging station and an electric vehicle needing to be charged in the place range; S2, in the place range, acquring the influence of different factors on charging station selection ofusers corresponding to the electric vehicle and calculating the attraction of each charging station to the users corresponding to the electric vehicle; S3, calculating the number of the electric vehicles in the charging station at any time and the probability that the electric vehicles currently in the charging station leave according to the attraction force; and S4, calculating the charging loadof the charging station through a Monte Carlo method. According to the invention, during the load prediction of the charging stations, the distance of the charging stations and surrounding factors such as shops and schools are brought into calculation together, and load prediction is carried out on a plurality of charging stations, so that the problem that a plurality of influence factors are notcombined in the existing charging load prediction process is solved.

Description

technical field [0001] The invention relates to the technical field of electric vehicle charging load forecasting, in particular to a charging station load forecasting method based on user multiple choices. Background technique [0002] Charging infrastructure is an important support system for the development of electric vehicles, and its reasonable planning and construction is of great significance to the development of the electric vehicle industry. The research on charging infrastructure planning at this stage needs to be carried out on the basis of electric vehicle charging load forecasting. Usually, factors such as the scale of electric vehicles, charging mode, operation rules, battery characteristics, and electricity price system are considered to establish a load forecasting model. [0003] In general, the load of charging piles is mainly affected by two factors. One is the charging power of electric vehicles, and the other is the charging time of electric vehicles....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06F17/18
CPCG06Q10/04G06Q50/06G06F17/18
Inventor 金锋吴杰康康丽赵俊浩
Owner GUANGDONG UNIV OF TECH