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

Difference self-healing control method based on device failure probability and power grid operation risks

A technology for power grid operation and equipment failure, applied in data processing applications, instruments, calculations, etc., can solve problems such as not being able to balance economy and reliability, not fully considering the economic operation and reliability of the power grid, and not having serious consequences

Active Publication Date: 2017-12-26
NORTHEASTERN UNIV
View PDF2 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional power grid operation risk assessment uses the product of probability and failure consequences. Although it considers the failures with small probability of occurrence and serious consequences, it ignores the failures with high probability of occurrence but not serious consequences. In comparison, Such failures are more likely to occur, so the risk assessment of grid operation based on this method is not satisfactory
At present, the goal of grid self-healing is mainly to improve the reliability of grid operation, and does not fully consider the relationship between economic operation and reliability of the grid, and the resulting optimization scheme often fails to take into account both economy and reliability.

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
  • Difference self-healing control method based on device failure probability and power grid operation risks
  • Difference self-healing control method based on device failure probability and power grid operation risks
  • Difference self-healing control method based on device failure probability and power grid operation risks

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0098] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the implementation of the present invention. example, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0099] like Figure 1-Figure 4 , the difference self-healing control method based on equipment failure probability and power grid operation risk according to the present invention is characterized in that it includes the following steps:

[0100] Step 1. Collect the operating data of each distribution network equipment in the power grid and the weather data cor...

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 difference self-healing control method based on device failure probability and power grid operation risks. The difference self-healing control method includes the steps: 1 acquiring operation data and weather data, and calculating comprehensive failure probability corresponding to power distribution network devices; 2 determining risk threshold values; 3 judging whether the comprehensive failure probability exceeds the risk threshold values corresponding to the power distribution network devices or not, optimizing power grid operation modes based on first multi-objective functions if the comprehensive failure probability exceeds the risk threshold values corresponding to the power distribution network devices, optimizing the power grid operation modes based on second multi-objective functions if not, and setting priorities of the power grid operation modes; 4 forecasting loads of power grids next moment based on a multi-classification regression tree algorithm, and calculating comprehensive stoppage probability and comprehensive risk probability of devices in the next moment; 5 determining whether optimization measures are executed or not. According to the method, the device failure probability and the power grid operation risks are fully considered, economical and reliable operation of the power grids is achieved by difference self-healing control without rejecting loads as far as possible.

Description

technical field [0001] The invention relates to the field of distribution network self-healing control, in particular to a differential self-healing control method based on equipment failure probability and power grid operation risk. Background technique [0002] With the rapid development of the smart grid, a large number of uncertain connections of distributed power sources, the structure of the distribution network is becoming more and more complex, the assessment and prediction of the operation risk of the distribution network, and the rapid diagnosis and recovery of faults are becoming more and more difficult. In recent years, scholars at home and abroad have proposed a series of self-healing control methods from different perspectives. Although some progress and results have been made in this research, there are still deficiencies. [0003] The traditional power grid operation risk assessment uses the product of probability and failure consequences. Although it conside...

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 Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06
Inventor 张化光刘鑫蕊孙秋野张孝波王智良杨珺赵鑫郑瑶瑶
Owner NORTHEASTERN 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