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Electric vehicle charging and discharging behavior clustering method based on data driving

A technology of electric vehicles and clustering methods, applied in the field of clustering, can solve problems such as small sample size

Inactive Publication Date: 2019-12-20
SOUTHEAST UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, most studies based on electric vehicle clustering are based on hypothetical data and the sample size is small

Method used

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  • Electric vehicle charging and discharging behavior clustering method based on data driving
  • Electric vehicle charging and discharging behavior clustering method based on data driving
  • Electric vehicle charging and discharging behavior clustering method based on data driving

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Embodiment Construction

[0056] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. The following descriptions are only preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, some improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications It should also be regarded as the protection scope of the present invention.

[0057] A data-driven charging and discharging behavior clustering method for electric vehicles proposed by the present invention can use the full amount of data to cluster the charging and discharging behaviors of electric vehicles, and measure the effectiveness of the clustering to obtain the optimal clustering. Grid auxiliary services provide quantitative premise. figure 1 It is a flow chart for clustering electric vehicle charging...

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Abstract

The invention discloses an electric vehicle charging and discharging behavior clustering method based on data driving, and the method comprises the steps: carrying out data collection and preprocessing of electric vehicle charging and discharging data of an electric vehicle intelligent charging service operation management system database, and obtaining a plurality of data variables for describingthe charging and discharging behaviors of a user; performing Pearson and Kendall rank correlation test analysis on the extracted variables, and screening out uncorrelated variables as key variables of a clustering model; proposing a clustering method for the charging and discharging behaviors of the electric vehicle based on a hierarchical clustering algorithm of a multi-scale space, and performing clustering analysis on the charging and discharging behaviors of the electric vehicle for key variables; and selecting an optimal cluster by comparing the clustering effectiveness of the charging and discharging behaviors of the electric vehicle under different clustering scales.The charging and discharging behaviors of the electric vehicle can be clustered by using the total data, the clustering effectiveness is measured to obtain the optimal clustering, and a quantitative premise is provided for the electric vehicle to participate in the power grid auxiliary service.

Description

technical field [0001] The invention relates to the field of clustering methods, in particular to a data-driven charging and discharging behavior clustering method for electric vehicles. Background technique [0002] The grid connection of a large number of electric vehicles has had a profound impact on the planning and operation of the power system. The uncertainty of the temporal and spatial distribution of the disorderly charging load of electric vehicles has increased the burden on the operation of the power grid. At the same time, the development of V2G technology has enabled electric vehicles to serve as grid The electricity load can also be used as a distributed energy source to participate in the grid operation. Due to the priority energy storage capacity in the current power system, it is impossible to provide backup for the grid for a long time. The energy storage of electric vehicles has time controllability and space mobility, and can cooperate with the grid for...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/231Y02T90/167Y04S30/12
Inventor 孙可慧罗忠游陈中邢强王开科焦春雷蔡鹏
Owner SOUTHEAST UNIV
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