Electric vehicle charge-discharge optimized dispatching method based on virtual electricity price

A technology for electric vehicles and optimal scheduling, applied in electric vehicles, battery circuit devices, current collectors, etc.

Active Publication Date: 2015-11-04
ZHEJIANG UNIV OF TECH
View PDF3 Cites 67 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above studies often lack the consideration of continuous adjustability of charge and discha

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
  • Electric vehicle charge-discharge optimized dispatching method based on virtual electricity price
  • Electric vehicle charge-discharge optimized dispatching method based on virtual electricity price
  • Electric vehicle charge-discharge optimized dispatching method based on virtual electricity price

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The present invention will be further described below with reference to the accompanying drawings, in which examples of the embodiments are shown, wherein the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention. The electric vehicle charging and discharging optimization scheduling framework constructed by the present invention is shown in the attached figure 1 shown, including the following steps:

[0064] 1) The electric energy public service platform predicts and samples the basic daily load information of the target area within the optimization period, including:

[0065] S11. Forecast base load power curve: predict the base daily load curve of the target area according to known parameters and models;

...

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 charge-discharge optimized dispatching method based on virtual electricity price. The method comprises the following steps: an electric energy public service platform predicts and samples the basic daily load information of a target area within an optimization time interval; when a new EV is connected to a charging pile within the target area, the network connection information of the new EV is read; a user input the charging information of the vehicle; an EV charge-discharge power model is constructed; virtual electricity price is calculated to indirectly reflect the load level of the target area; a dispatching model with the charge-discharge power as an optimization variable is constructed; dynamic time-of-use electricity price for user cost calculation is determined by combining wavelet analysis preprocessing and fuzzy clustering methods; the user makes an automatic response decision; a charge-discharge operation is performed on the EV according to the decision of the user and a plan is uploaded. The electric vehicle charge-discharge optimized dispatching method based on virtual electricity price is capable of realizing peak clipping and valley filling of EV cluster load and reducing the charge-discharge cost of the user on the basis of meeting the charging requirement of the user and the capacity limitation of a power distribution transformer. In case of a great EV cluster scale, the electric vehicle charge-discharge optimized dispatching method based on virtual electricity price is still capable of meeting grid side expectations.

Description

Technical field: [0001] The invention belongs to the technical field of interaction between an electric vehicle (EV) and a power grid, and in particular relates to an optimal scheduling of charging and discharging of an electric vehicle based on a virtual electricity price and an implementation method thereof. Background technique: [0002] In recent years, people have higher and higher requirements for energy and the environment. Insufficient reserves of fossil fuels and global warming have attracted increasing attention. The improvement of environmental protection concepts has made people strongly demand to reduce oil consumption in transportation. Due to its special energy drive mode, electric vehicles have good energy-saving and low-emission potentials, and have been widely developed. Electric vehicles can improve energy efficiency and reduce environmental pollution. Its popularization and promotion has become a future trend. Countries have also adopted active policy mea...

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): H02J7/00H02J7/02G06Q10/04G06Q50/06
CPCY02T10/92
Inventor 张有兵杨晓东任帅杰翁国庆周文委谢路耀
Owner ZHEJIANG UNIV OF TECH
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap