An electric vehicle charging power prediction method in consideration of delay and V2G charging modes

A technology of electric vehicles and charging power, which is applied in computing, electrical digital data processing, special data processing applications, etc., and can solve problems such as peaking

Active Publication Date: 2017-09-15
HOHAI UNIV
View PDF6 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If large-scale electric vehicles are charged during the peak load hours of the grid, it will cause the load to "peak on peak" and bring a certain burden to the operation of the grid.
[0003] As a special load, electric vehicles have a lot of uncertainties in time, space, and behavior. Whether they can transmit power in two directions and the differences in drivers’ driving behaviors will produce huge random characteristics. The disorder of large-scale electric vehicles Charging will lead to a rapid increase in load, and the charging behavior of electric vehicles during peak load hours will cause "peaks on top of peaks", bringing challenges to the operation of the power system

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
  • An electric vehicle charging power prediction method in consideration of delay and V2G charging modes
  • An electric vehicle charging power prediction method in consideration of delay and V2G charging modes
  • An electric vehicle charging power prediction method in consideration of delay and V2G charging modes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The implementation of the present invention will be further described below in conjunction with the accompanying drawings and examples, but the implementation and inclusion of the present invention are not limited thereto.

[0064] A method for predicting charging power of an electric vehicle considering delay and V2G charging mode, comprising the following steps:

[0065] Step 1: Analyze the spatio-temporal uncertainty of electric vehicles, and establish a dynamic probability model of electric vehicle charging power;

[0066] Step 2: Select the appropriate charging method, and model the charging power characteristics of electric vehicles for the normal charging mode, delayed charging mode and V2G charging mode;

[0067] Step 3: On the basis of step 2, conduct a simulation test on a single electric vehicle under three charging modes, and calculate the expectation and standard deviation of the electric vehicle load at each time period;

[0068] Further, said step 1 incl...

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 provides an electric vehicle charging power prediction method in consideration of delay and V2G charging modes, which is applied to research of an electric vehicle charging and discharging random model and enables charging and discharging power of an electric vehicle to be obtained via simulation. The method comprises the steps of firstly analyzing the space-time uncertainty of electric vehicles and building a dynamic probability model of electric vehicle charging power; secondly, selecting a proper charging method and modeling characteristics of electric vehicle charging power for a common charging mode, a delay charging mode and a V2G charging mode; finally, performing simulation tests on a single electric vehicle under the three charging modes and calculating the expectation and standard differences of electric vehicle loads in all periods. The method can obtain electric vehicle charging and discharging power expectation values of the three charging methods under the requirement response background and has the advantages of simple principle and convenient realization; the probability distribution characteristics enable dispatching personnel to know electric vehicle charging and discharging cluster loads more clearly.

Description

technical field [0001] The invention belongs to the field of power system operation analysis and load forecasting, and relates to a method for predicting charging power of an electric vehicle that takes into account delay and V2G charging mode, and is suitable for studying the background of demand response while considering the time, space and driving behavior of electric vehicles The stochastic model of charging and discharging under the influence of random factors, and the charging and discharging power of electric vehicles in the delay and V2G charging modes are obtained through simulation. Background technique [0002] As an effective means of energy saving and emission reduction, electric vehicles are driven by electricity and are a new type of transportation, providing new opportunities for realizing low-carbon life and alleviating the energy crisis. Electric vehicles have been highly valued because of their basic absence of tail gas emissions, and have become the tren...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06Q10/06G06Q50/06
CPCG06Q10/06315G06Q10/0637G06Q50/06G16Z99/00
Inventor 卫志农柳志航孙国强臧海祥何天雨楚云飞
Owner HOHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products