Intelligent judgment method for identifying high-risk and important user power supply risks

An important user and intelligent judgment technology, applied in data processing applications, instruments, forecasting, etc., can solve the problems of high-risk and important user power supply risks that cannot be intelligently judged, and achieve the effect of avoiding errors and omissions

Inactive Publication Date: 2014-11-26
STATE GRID CORP OF CHINA +1
View PDF5 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the defect that high-risk and important user power supply risks cannot be intelligently judged

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
  • Intelligent judgment method for identifying high-risk and important user power supply risks

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0034] Such as figure 1 As shown, an intelligent judgment method for identifying high-risk and important user power supply risks described in the present invention includes the following steps:

[0035] The first step is to predict the future grid operation model. Obtain the data of the current grid power flow calculation model, which is the statistical data model owned by the power supply department in the routine work, reflecting the current state of the grid. Add future power grid plans, such as maintenance plan, load forecast, pending production plan, power generation plan, etc., to form future power grid operation model data. Intelligent judgment is made on the data of the future power grid operation model, so that it can adap...

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 relates to an intelligent judgment method for identifying high-risk and important user power supply risks. Compared with the prior art, the method overcomes the defect that the high-risk and important user power supply risks cannot be intelligently judged. The method includes the following steps that a future power grid operation model is predicted, current power grid load flow calculation model data are acquired, a repair plan, load prediction, a plan to be put into production and a power generation plan are added, and then data of the future power grid operation model are formed; load flow calculation is conducted on the future power grid operation model, load flow calculation is conducted based on the data of the future power grid operation model, and then a load flow calculation result is acquired; the power model is made to be graphical, a power grid topological relationship in the power grid model is extracted based on a graph-theoretical algorithm, and a power grid graphical model is established; the high-risk and important user power supply risks are identified, and the high-risk and important user power supply risks are judged based on the established power grid connection graph model with the power grid topological relationship. By means of the method, the high-risk and important user power supply risks of a power grid are intelligently identified.

Description

[0001] technical field [0002] The invention relates to the technical field of power grid intelligent control, in particular to an intelligent judgment method for identifying high-risk and important user power supply risks. [0003] Background technique [0004] High-risk and important users refer to industries that occupy an important position in society, politics, and economic life, or coal mines, non-coal mines, metallurgy, chemicals, electrified railways, etc., and interruption of power supply to them may cause personal casualties, greater environmental pollution, and greater Users with political influence, large economic losses, serious disorder of social public order, or places with special requirements for power supply reliability. [0005] The power system needs to complete power generation, power supply, and power consumption at the same time, and it is in a balanced state. Any problem in any link will cause adverse chain reactions, resulting in serious damage to ...

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
CPCY04S10/50
Inventor 汤伟刘辉杨铖刘路登
Owner STATE GRID CORP OF CHINA
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