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Electric power information network fault locating method

A technology of fault location and information network, applied in the field of electric power information, can solve the problems of complex implementation, and achieve the effect of improving accuracy, improving timeliness, and reducing detection and selection time.

Active Publication Date: 2017-02-22
JIANGSU ELECTRIC POWER CO
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: the implementation of the existing method is complicated, and it cannot meet the high timeliness of fault location while ensuring the accuracy of fault location

Method used

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  • Electric power information network fault locating method
  • Electric power information network fault locating method
  • Electric power information network fault locating method

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Embodiment Construction

[0023] The concepts of several detection sets used in the present invention are as follows:

[0024] 1) Available detection set T all: Randomly select several nodes in the information network to deploy probes, and each probe can send active detection packets to any network node in the information network, which is called a detection. According to the results returned by the detection, the status of the network nodes can be inferred. Bad. The set of all probes consisting of all probes to all network nodes is the available probe set T all , the probe sets described below are all subsets of this set.

[0025] 2) Fault detection set T obs : To ensure the reliable operation of the power information network, we cannot passively wait for the user to issue a fault report, but need to monitor the operation of the network in real time, so we must use the available detection set T all Select some probes to periodically send probe packets to the network, and the selected probes must b...

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Abstract

The invention discloses an electric power information network fault locating method. The relation between detection in a candidate detection set and nodes in an electric power information network is described by using a Bayesian network model. The information gain of single detection and the number of important nodes in a single detection path are combined to act as detection values to measure the diagnostic capacity of each detection in the candidate detection set. The detection of the maximum detection value is selected out of the candidate detection set to form a fault locating set. The most possible state information of the electric power information network is obtained by the returned detection result so as to locate fault nodes. The method is simple in theory, the fault locating process is enabled to be clearer by the directed edge between the information nodes and detection, and the new detection values are defined to act as the standard of selecting the fault locating set so that the accuracy of fault locating can be enhanced; and the Bayesian network is divided into multiple sub-networks by using the conditional independence of the Bayesian network, and the detection of the same sub-network is updated when the detection values are updated so that detection selection time can be reduced and the timeliness of fault locating can be enhanced.

Description

technical field [0001] The invention relates to the technical field of electric power information, in particular to a method for locating faults in electric power information networks. Background technique [0002] In the smart grid, the power information network carries various power production services and is an important channel to ensure power communication services. However, the huge network structure causes faults to occur from time to time, and it is difficult to locate after a fault occurs. If the fault cannot be quickly and accurately detected, it will cause an electrical accident. Traditional network fault management mostly uses the northbound interface to passively collect alarm information sent by devices, and establishes an alarm-fault correlation model to analyze the root cause of the fault. However, passively waiting for the alarm will lead to poor timeliness in fault location, and once the alarm information is false, lost, and redundant However, the accuracy...

Claims

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Application Information

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IPC IPC(8): H04L12/24
CPCH04L41/0677
Inventor 李维姜红红刘少君赵新建高莉莎王博钱欣沙倚天
Owner JIANGSU ELECTRIC POWER CO
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