Power distribution network situation sensing method based on complex event processing technology and decision tree

A complex event processing and situational awareness technology, applied in the field of power systems, can solve problems affecting the power supply guarantee ability of lifeline users, affecting the reliable power supply ability of distribution network, and making it difficult for operators to distribute network, so as to improve the precision rate and check Full rate, reduce work cost, reduce the effect of risk

Active Publication Date: 2016-09-07
CHINA ELECTRIC POWER RES INST +2
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the increasing impact of global climate change and natural disasters on the distribution network, improving the situational awareness of the distribution network for disasters has become an important development direction. The following challenges need to be faced and solved: First, the distribution network The scale is getting bigger and bigger, the network structure is getting more and more complex, and there are more and more unstable factors affecting power supply security such as equipment failure and load changes; secondly, with the country's strong support for green and clean energy, distributed power supply, energy storage Devices and electric vehicles are connected to the power grid on a la

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 situation sensing method based on complex event processing technology and decision tree
  • Power distribution network situation sensing method based on complex event processing technology and decision tree

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0041] The invention relates to a distribution network situation awareness method based on complex event processing technology and decision tree, wherein:

[0042] Situational awareness is to perceive an element or elements in a specific time and space environment, understand its meaning, and predict its future development trend. Situational awareness in the field of power distribution refers to the perception of operators of the current state of the distribution network and its changing trends in a rapidly changing environment. This perception process involves a large number of variables, including distribution network topology, switch remote signaling, remote measurement information (voltage, current, active power, reactive power), equipment information (equipment parameters, temperature, overload, etc.). These variables are changing every second, and a large number of complex and time-varying data has exceeded the ability of operators to process information. Without the suppo...

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 a power distribution network situation sensing method based on the complex event processing technology and a decision tree, and the method comprises the steps: defining nodes, and generating a decision tree model according to a node rule and status values; obtaining the input data of the decision tree model; calculating and obtaining output data through employing the corresponding formulas of all nodes; comparing the output data of all nodes with expected values, and obtaining the state changes of the nodes; determining the node priority of the decision tree model, and obtaining an inference result. The method greatly improves the capability of a power distribution network for processing mass information and mastering a key situation under the condition of disasters, and provides decision support for the power distribution network for handling natural disasters.

Description

technical field [0001] The invention relates to the technical field of electric power systems, in particular to a distribution network situation awareness method based on a complex event processing technology and a decision tree. Background technique [0002] With the increasing impact of global climate change and natural disasters on the distribution network, improving the situational awareness of the distribution network for disasters has become an important development direction. The following challenges need to be faced and solved: First, the distribution network The scale is getting bigger and bigger, the network structure is getting more and more complex, and there are more and more unstable factors affecting power supply security such as equipment failure and load changes; secondly, with the country's strong support for green and clean energy, distributed power supply, energy storage Devices and electric vehicles are connected to the power grid on a large scale, and d...

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
CPCG06Q10/04G06Q50/06
Inventor 吕广宪苏剑刘海涛黄雨盛万兴刘鹏陆一鸣王鹏王立岩
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