Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Charging and discharging automatic demand response optimization method for electric car

An electric vehicle, demand response technology, applied in data processing applications, instruments, forecasting, etc., can solve problems such as slow response speed, low efficiency, and low reliability

Inactive Publication Date: 2016-06-01
ZHEJIANG UNIV OF TECH
View PDF0 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the problems of slow response speed, low reliability and low efficiency caused by many uncertainties in the DR research of electric vehicles with human participation mentioned above, and proposes a method for conventionally charged electric vehicles in the distribution network. The invention provides an automatic demand response optimization method for electric vehicle charging and discharging, which aims to study the method of stabilizing system load fluctuations while ensuring the user's economy, and realize the collaborative optimization of both sides of supply and demand

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
  • Charging and discharging automatic demand response optimization method for electric car
  • Charging and discharging automatic demand response optimization method for electric car
  • Charging and discharging automatic demand response optimization method for electric car

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0093] An automatic demand response optimization method for charging and discharging electric vehicles includes the following steps:

[0094] S1, obtain the status information of electric vehicles connected to the distribution network

[0095] Discretize the 24h time of the day and divide it into J time periods. For any kth time period, there are k∈{1,2,...,J}, and the length of the kth time period is Δt. After car l is connected to the distribution network, use a seven-dimensional row vector X l Record the battery information of electric vehicle l and the customer's charging demand information; assuming that the total number of electric vehicles connected to the distribution network is N, for any electric vehicle l ∈ {1,2,...,N}, there are:

[0096] X l =[T in,l ,T out,l ,S 0,l ,S E,l ,C s,l ,P c,l ,P d,l ](1)

[0097] Where:

[0098] T in,l , T out,l Respectively represent the time when the electric vehicle 1 is connected to the distribution network and the time when it is expected...

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 discloses a charging and discharging automatic demand response optimization method for an electric car, and the method comprises the following steps: S1, obtaining the state information of the electric car connected in a power distribution network; S2, constructing an SDCO-ADR optimization configuration; S3, obtaining an initial charging and discharging plan (shown in the description), which can bring the biggest benefit to a user, based on the demand side optimization of PSDR; S4, obtaining an optimal charging and discharging plan (shown in the description), which enables the load fluctuation variance of the power distribution network to be minimum, based on supply side optimization of IBDR; S5, constructing an SDCO-ADR optimization configuration, and building a CVaR model of a client response intention decision. The method automatically carries out fine resource configuration according to the demand signal of a power company side and the condition of a user side, achieves the coordinative optimization of the supply and demand sides, and irons out the defects that manual response is low in efficiency, poor in reliability, strong in nondeterminacy and easy to cause response fatigue.

Description

Technical field [0001] The invention relates to an automatic demand response optimization method for charging and discharging electric vehicles. Background technique [0002] As the global primary energy consumption is exhausted and environmental problems become increasingly severe, the traditional energy grid structure is in urgent need of transformation. In the modern power system supply-demand relationship that emphasizes interaction, demand response (DR) resources have been regarded as virtual generators connected to the system on the demand side, and they are an indispensable new type of distributed energy in the era of energy interconnection. [0003] The idea of ​​vehicletogrid (V2G) is proposed, which enables electric vehicles to participate in the "two-way interaction" of the power grid in the form of DR. Judging from the current situation, on the one hand, electric vehicles are being vigorously promoted by governments and the automobile industry due to their potential in...

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
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 张有兵杨晓东任帅杰顾益娜翁国庆戚军谢路耀
Owner ZHEJIANG UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products