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

Multi-time-scale decision method for charging power of electric automobile charging station

A technology of electric vehicles and charging power, applied in data processing applications, system integration technology, calculations, etc., can solve problems such as adjusting energy storage scheduling plans and weakening energy storage benefits

Active Publication Date: 2014-08-27
SHANDONG UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing technology is based on a fixed energy storage charging and discharging operation scheme, and the system structure is simple, but it cannot adjust the energy storage scheduling plan according to changes in grid load and operation mode and renewable energy power changes, which weakens the benefits of energy storage participating in grid scheduling

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
  • Multi-time-scale decision method for charging power of electric automobile charging station
  • Multi-time-scale decision method for charging power of electric automobile charging station
  • Multi-time-scale decision method for charging power of electric automobile charging station

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The multi-time-scale decision-making method of the charging power of the electric vehicle swapping station of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments:

[0070] according to figure 1 As shown, the multi-time scale decision-making method of the charging power of the electric vehicle swapping station of the present invention includes the following steps:

[0071] A. Day-ahead forecast data acquisition and day-ahead planning:

[0072] 1) Day-ahead forecast data acquisition

[0073] From the forecasting system of the regional power grid dispatching center, the forecast value of each load demand of the next day, the wind power of each wind farm and the output power of each photovoltaic power station in each time period is obtained. From this, the equivalent load curve composed of load, wind power of wind farm and output power of photovoltaic power station is obtained, see Table 1 for detail...

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 the design of a multi-time-scale decision-making method for the charging power of an electric vehicle replacement station. The implementation steps of the invention are as follows: by obtaining the day-ahead forecast data, the day-ahead plan is completed; by updating the remaining period forecast data, the rolling plan is completed; by ultra-short-term Prediction data acquisition and real-time dispatching; during the operation of the day, rolling corrections are made to the charging plans of each electric vehicle replacement station, and real-time dispatch is made to the charging plan of each electric vehicle replacement station, so as to minimize the impact of electric vehicle replacement stations caused by prediction errors The weakening effect of the charging plan on the smoothing effect of the actual equivalent load curve of the day. It can flexibly adjust the operation plan curve of the energy storage charging and swapping station according to the change of grid load and operation mode and the power generation of wind power and other renewable energy sources, so as to maximize the benefits of energy storage resources.

Description

technical field [0001] The invention relates to a multi-time scale decision-making method for charging power of an electric vehicle swapping station. By rationally arranging the charging plan of each electric vehicle replacement station, this method can not only meet the electric vehicle energy demand of each electric vehicle replacement station, but also reduce the peak-to-valley difference of the equivalent load curve and improve the load characteristics of the regional power grid, thereby reducing the The peak shaving pressure of conventional units is aimed at increasing the access level of renewable energy. Through the establishment of a multi-time scale cooperative scheduling rolling optimization decision-making model of day-ahead planning, rolling planning, and real-time scheduling, the impact of wind power, photovoltaic and other new energy forecast errors can be gradually reduced, and the load characteristics of equivalent loads can be further improved. Background te...

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 Patents(China)
IPC IPC(8): G06Q10/06
CPCY04S10/545Y04S10/54Y02E40/76Y02E40/70Y04S10/50
Inventor 于大洋雷宇于强强黄海丽任敬国郭启伟孙东磊
Owner SHANDONG UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com