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Electric vehicle orderly charging optimization method based on advanced data mining

An electric vehicle and data mining technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as disorderly charging, achieve strong randomness, improve economic benefits, and reduce electricity costs Effect

Pending Publication Date: 2019-12-06
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0004] The invention provides an orderly charging optimization method for electric vehicles based on advanced data mining, which is used for charging electric vehicles and aims to solve the problem of disordered charging of existing electric vehicles after they are connected to the network

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  • Electric vehicle orderly charging optimization method based on advanced data mining
  • Electric vehicle orderly charging optimization method based on advanced data mining
  • Electric vehicle orderly charging optimization method based on advanced data mining

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Embodiment Construction

[0054] In order to enable those skilled in the art to better understand the technical solution of the present invention, the specific implementation of the present invention will be clearly and completely described below in conjunction with the embodiments and accompanying drawings. Obviously, the described embodiments are only a part of the present invention Examples, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0055] An optimization method for the orderly charging of electric vehicles based on advanced data mining, such as figure 1 shown, including the following steps:

[0056] A1. Use the fuzzy C-means clustering algorithm to analyze the driving behavior of the car owner and the initial battery charge state of the electric vehicle connected to the network, and grasp the load characteristic...

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Abstract

The invention discloses an electric vehicle orderly charging optimization method based on advanced data mining. The method comprises the following steps: analyzing a driving behavior of a vehicle owner and an initial battery state of charge of a networked electric vehicle by utilizing a fuzzy C-means clustering algorithm, and mastering load characteristics of the electric vehicle; establishing a model composed of a plurality of refined typical electric vehicle load mode transition probability matrixes based on the thought of a Markov chain, and describing the random dynamic change process of the electric vehicle; and solving an ordered charging problem of the electric vehicle by applying a multi-population genetic algorithm, and charging the electric vehicle to be charged according to thecharging power. The problem of disordered charging caused by strong randomness and high permeability of an existing electric vehicle is solved, the power consumption cost of a user is reduced, and theeconomic benefit of a power grid is improved.

Description

technical field [0001] The invention belongs to the field of optimal dispatching of power system distribution network, in particular to an orderly charging optimization method for electric vehicles based on advanced data mining. Background technique [0002] With the rapid development of social economy, the demand for electricity in various industries in society is increasing day by day. At the same time, as the basic guarantee for national development, electric power has undergone profound changes with the development of new energy sources and the deepening of power policy reforms. As a new type of adjustable load with a high penetration rate in the distribution network, electric vehicles have received more and more attention. [0003] The adjustable characteristics of electric vehicles are mainly reflected in the charging and discharging process of their batteries. By shifting the charging time of grid-connected electric vehicles from the peak period of electricity consum...

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Application Information

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IPC IPC(8): G06F17/50G06K9/62G06N3/12G06Q10/04G06Q50/06
CPCG06N3/126G06Q10/04G06Q50/06G06F18/23213Y02T10/70
Inventor 李捷余涛
Owner SOUTH CHINA UNIV OF TECH
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