Power grid fault diagnosis method based on multi-dimensional data similarity matching

A similarity matching, power grid fault technology, applied in fault location, measurement of electricity, measurement of electrical variables, etc., can solve the problems of difficult diagnosis results, interpretation, complex calculations, etc., to achieve fast diagnosis, strong pertinence, and accurate diagnosis results. Effect

Active Publication Date: 2019-04-16
DEZHOU POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, there are the following problems in the existing results based on the above methods: (1) large-scale mathematical modeling is involved, and the calculation is complicated
(2) It is difficult to interpret the diagnostic results

Method used

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  • Power grid fault diagnosis method based on multi-dimensional data similarity matching
  • Power grid fault diagnosis method based on multi-dimensional data similarity matching
  • Power grid fault diagnosis method based on multi-dimensional data similarity matching

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Experimental program
Comparison scheme
Effect test

Embodiment

[0047] 1. Establishment of fault coding mathematical model

[0048] Different action behaviors of relay protection, action behaviors of different operating circuits, and different tripping and closing states of circuit breakers determine the value of the mathematical model of grid fault coding. The value of the mathematical model of power grid fault coding is unique, and its value determines the fault type of the line and the action state of the secondary equipment. Classify the working status of the secondary equipment, so as to realize the diagnosis of various fault types. The fault coding mathematical model of this embodiment is:

[0049] G k (q k ,p k ,o k )

[0050] In the formula, G k () is the mathematical model of grid fault coding, q k Roughly divide field codes for faults, p k Code for the relay protection action field, o k Encodes the action loop action field.

[0051] 2. The formation of fault codes

[0052] The matching of fault information is carried o...

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Abstract

The invention relates to a power grid fault diagnosis method based on multi-dimensional data similarity matching. The method comprises the following steps that 1, a mathematical model of power grid fault coding is established; 2, power grid historical remote signaling variable-position data and an expected accident data set are utilized, and a clustering center data set is acquired by means of a k-means clustering method; 3, a discrete Hopfield neural network is established for correcting the real-time fault remote signaling information of a power grid, and the corrected power grid real-time fault remote signaling information error-changing position coding is obtained; and 4, a classification judgment threshold value is set up, and the corrected power grid real-time fault remote signalinginformation is used for carrying out coding and clustering center data set to obtain a power grid real-time fault diagnosis result. Compared with the prior art, the method has the advantages of beinghigh in diagnosis speed, accurate in diagnosis fault type, high in power grid matching degree, high in practicability and the like.

Description

technical field [0001] The invention relates to the technical field of grid fault diagnosis, in particular to a grid fault diagnosis method based on multidimensional data similarity matching. Background technique [0002] Grid fault diagnosis is an important application to realize the self-healing function of smart grid. When a fault occurs in the power grid, the massive fault alarm data collected by the monitoring system is sent from the local automatic device to the dispatching center. The fault diagnosis of the power grid can quickly analyze the fault-related data from the massive fault data, find out the cause of the fault, and assist the dispatching and operation personnel to carry out timely Accident analysis and treatment, rapid restoration of power supply, ensured the safe and reliable operation of the power grid. [0003] At present, the commonly used fault diagnosis methods mainly include expert system, artificial neural network, rough set, Bayesian network, Petri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/08
CPCG01R31/088Y04S10/52
Inventor 刘朝章袁小蕾刘春秀荆盼盼刘仰韶
Owner DEZHOU POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
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