Power distribution network information physical side risk early warning method and system

A technology of information physics and risk early warning, applied in the field of distribution network, can solve the problems of false early warning of weak links on the information physical side of distribution network, low risk level prediction accuracy, etc., to improve calculation efficiency and early warning accuracy, and improve risk prediction accuracy , The effect of reducing the probability of false alarm

Pending Publication Date: 2019-09-13
CHINA ELECTRIC POWER RES INST +3
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the original risk characteristic data in the prior art has not been optimally screened, resulting in low risk level prediction accuracy and wrong early

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
  • Power distribution network information physical side risk early warning method and system
  • Power distribution network information physical side risk early warning method and system
  • Power distribution network information physical side risk early warning method and system

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0059] Example 1:

[0060] This embodiment provides a risk early warning method on the information and physical side of the distribution network, such as figure 1 Shown, including:

[0061] S1: Based on the risk factor category, obtain the risk factor feature set from the risk data source on the information and physical side of the distribution network, and filter to obtain the optimal risk factor feature set.

[0062] 1. Investigate CPS risk data sources:

[0063] Through the power grid GIS platform, marketing business application system, power quality monitoring system / power consumption information collection system, equipment (asset) operation and maintenance lean management system, dispatching automation system, OMS / SCADA system and meteorological information in the distribution network information management system Systematic surveys, schematic diagrams of risk data sources and multi-factor feature sets, such as figure 2 Shown.

[0064] Extract corresponding fault data, operatin...

Example Embodiment

[0108] Example 2:

[0109] This embodiment provides a risk early warning system on the information and physical side of a distribution network, and the system includes:

[0110] Optimal feature set acquisition module: Based on the risk factor category, obtain the risk factor feature set from the risk data source on the information physics side of the distribution network, and filter to obtain the optimal risk factor feature set;

[0111] Risk level prediction module: Bring the optimal risk factor feature set into the pre-built online risk level prediction model to obtain the current information and physical side operational risk level of the distribution network;

[0112] Early warning module: perform early warning processing based on the risk operation level;

[0113] The risk factor categories include: fault data, operating data, archive data, meteorological data and network data;

[0114] The risk factor feature set: power outage time, power outage times, configured capacity, line len...

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 power distribution network information physical side risk early warning method and system, and the method comprises the steps: obtaining a risk factor feature set from a riskdata source of a power distribution network information physical side based on a risk factor category, and carrying out the screening, and obtaining an optimal risk factor feature set; substituting the optimal risk factor feature set into a pre-constructed risk level online prediction model to obtain a current power distribution network information physical side operation risk level; and performing early warning processing based on the risk operation level. According to the scheme, risk data of an information side and a physical side of the power distribution network are fully considered forscreening to obtain an optimal number risk factor feature set, so that the calculation efficiency and the early warning precision of risk level prediction of the information physical system of the power distribution network are improved; based on various risk data of the information side and the physical side of the power distribution network, different types of different risk data are considered,so that independent screening is carried out, the risk prediction precision of the information physical side of the power distribution network is improved, and the probability of error early warningis reduced.

Description

technical field [0001] The invention relates to the technical field of distribution network, in particular to a method and system for early warning of risks on the information physical side of a distribution network. Background technique [0002] With the development of smart grid and energy Internet, the power system is becoming a complex large system integrating power, information and communication networks. Concepts such as Cyber ​​Physical System (CPS) and Energy Information System (EIS) have also been proposed to reflect this new feature of the power system. The information network is integrated into the power physical system, which improves the operating efficiency of the power system, but at the same time increases the risk of the power system operation. The security and reliability of complex active distribution networks under the background of cyber-physical integration are very worthy of attention. Therefore, it is necessary to study the operation risk of distribu...

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): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06
Inventor 张稳叶学顺刘科研盛万兴高孟泽贾东梨胡丽娟白牧可
Owner CHINA ELECTRIC POWER RES INST
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