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

Progressive learning grid regulation and control method based on learning theory

A technology of power grid regulation and learning theory, applied in the field of power grid, can solve problems such as waste of resources

Inactive Publication Date: 2017-04-19
YANTAI POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the above are to increase the capacity of the grid to receive wind power by increasing the spinning reserve capacity of conventional units, which may lead to a waste of resources

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
  • Progressive learning grid regulation and control method based on learning theory
  • Progressive learning grid regulation and control method based on learning theory
  • Progressive learning grid regulation and control method based on learning theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention is described in detail below in conjunction with accompanying drawing:

[0045] On the basis of considering the traditional power grid dispatching strategy, the present invention proposes a gradual learning power grid control strategy based on learning theory. It has a self-learning space-time scrolling and associated progressive regulation mechanism.

[0046] Taking the data actually collected in a certain power grid from 24 to 27 (here only considers the operation of the power grid on normal working days) as the research object, firstly, the collected actual operation data of the power grid is analyzed, and the data of each power node in these 3 days are obtained. The injected power of the time period can be used as the equivalent link of the power grid. Secondly, the correlation analysis of the daily injection power of the source node is carried out by using the correlation function theory. Finally, using the node operating data on the 24th an...

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 progressive learning grid regulation and control method based on a learning theory. The method comprises the following steps: 1, subjecting the operation state of a grid to panorama observation; 2, constructing a grid equivalence analysis model; 3, establishing a progressive learning grid regulation and control model: based on the constructed grid equivalent analysis model, establishing a self-learning, space-time rolling and associated control mechanism, and establishing the progressive learning grid regulation and control model by using an extreme learning mechanism theory; and 4 establishing a progressive learning time-space association grid regulation and control strategy system, wherein a learning theory runs through the system and the system consists of space coordination and time coordination. The progressive learning grid regulation and control method is compatible with a traditional power grid regulation and control method, and can be improved continuously in the progressive learning, embodies the intelligence, and provides a new useful reference for the regulation and control of a power grid.

Description

technical field [0001] The invention relates to the technical field of power grids, in particular to a progressive learning power grid control method based on learning theory. Background technique [0002] A large amount of conventional fossil energy is consumed, and the greenhouse effect and smog caused by carbon emissions have attracted increasing attention. In recent years, environmental pollution has continued to intensify, which has accelerated people's search for renewable energy to replace conventional energy. In order to improve the environment, attention has been paid to the development of renewable resources, which are integrated into the grid in various ways such as distribution or concentration, causing the grid structure to change quietly. Due to the obvious intermittency, volatility and Randomness and other characteristics have caused a large number of wind and solar curtailment, and have threatened and challenged the existing power grid regulation methods. Th...

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): G06Q50/06G06N3/08
CPCG06Q50/06G06N3/08
Inventor 张学清陶旭嫣王英武闫秀光刘志洋张银川胡国洋韩日东于慎航徐玉刚刘培
Owner YANTAI POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
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