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Intelligent diagnosis decision-making method and system based on power grid big data analysis

A technology of intelligent diagnosis and decision-making method, applied in the direction of electrical digital data processing, data processing application, digital data information retrieval, etc., can solve the problems of power system hazards, daily life impact, information characteristics cannot be mined, etc., to ensure safety The effect of stable operation

Pending Publication Date: 2022-03-25
STATE GRID SHANDONG ELECTRIC POWER COMPANY RIZHAOPOWER SUPPLY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the transformation of the traditional grid to the smart grid model, the grid structure is becoming more and more complex. The scale and number of users of the grid information system are increasing day by day. The harm that cannot be measured will cause the entire power grid system to be paralyzed in severe cases, which will have a serious impact on industrial manufacturing, enterprise production, and people's daily life.
[0003] At present, the fault diagnosis of the power grid is mainly through the regular inspection of the equipment by the staff to observe the operation of the power system equipment. Only when the power system equipment is running abnormally can the problem be found. It is difficult to obtain more essential information through the operation data and macroscopic data characteristics. , the information characteristics hidden in the macro data cannot be excavated, and many hidden dangers in the working process of power equipment cannot be discovered in time, which affects the health, stability and safety of the power market

Method used

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  • Intelligent diagnosis decision-making method and system based on power grid big data analysis
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Experimental program
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Embodiment 1

[0064] Such as figure 1 As shown, this embodiment provides an intelligent diagnosis and decision-making method based on power grid big data analysis, including the following steps:

[0065] S1. Obtain fault data collected by the smart grid system and preprocess the data;

[0066] Among them, preprocessing the data includes the following steps:

[0067] Perform missing value processing on the data. When the missing data of a tuple exceeds the threshold, ignore the tuple. When the missing data of a tuple is less than or equal to the threshold, fill the missing value of the tuple;

[0068] Perform noise processing on the data, and smooth the data by fitting the data with a preset function;

[0069] The data is reduced, and the data reduction is carried out by using the preset data cube summary description method.

[0070] Ensure the integrity of the data through data preprocessing, reduce noise intrusion in the data, improve data quality, and facilitate subsequent data analysi...

Embodiment 2

[0089] Such as figure 2 As shown, this embodiment provides an intelligent diagnosis and decision-making system based on power grid big data analysis, including a data processing module 1, a vectorization module 2, a training adjustment module 3, a repetitive training module 4, and a diagnostic analysis module 5;

[0090] The data processing module 1 is used to obtain the fault data collected by the smart grid system and preprocess the data;

[0091] The data processing module 1 includes a missing value processing unit, a noise processing unit, and a data reduction unit;

[0092] The missing value processing unit is used to process the missing value of the data. When the missing data of a tuple exceeds the threshold, the tuple is ignored, and when the missing data of a tuple is less than or equal to the threshold, the tuple is deleted. value fill;

[0093] The noise processing unit is used to perform noise processing on the data, and smooth the data by fitting the data with ...

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Abstract

The invention provides an intelligent diagnosis decision method and system based on power grid big data analysis, and relates to the technical field of power grid intelligent diagnosis, and the method comprises the following steps: obtaining fault data collected by an intelligent power grid system, and carrying out the preprocessing of the data; carrying out vectorization on the preprocessed data; dividing vectorized data into a training set and a verification set, training the training set in batches, and adjusting model parameters by using the verification set; performing multiple rounds of training to obtain a diagnostic analysis model; performing diagnostic analysis on the power grid operation data by using the diagnostic analysis model, and searching weak links of the power grid; data connotation can be deeply mined, diagnostic analysis is carried out on the power grid, potential safety hazards and weak links existing in the power grid are found in time, and safe and stable operation of the power grid is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of power grid intelligent diagnosis, and in particular relates to an intelligent diagnosis decision-making method and system based on power grid big data analysis. Background technique [0002] With the transformation of the traditional grid to the smart grid model, the grid structure is becoming more and more complex. The scale and number of users of the grid information system are increasing day by day. The immeasurable harm will paralyze the entire power grid system in severe cases, which will have a serious impact on industrial manufacturing, enterprise production, and people's daily life. [0003] At present, the fault diagnosis of the power grid is mainly through the regular inspection of the equipment by the staff to observe the operation of the power system equipment. Only when the power system equipment is running abnormally can the problem be found. It is difficult to obtain more essential informat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F16/2458
CPCG06Q10/0637G06Q50/06G06F16/2465
Inventor 程云祥卢兴旺焦庆丽刘伟波樊唯钦付铮丁月明杨小婷扈佃爱王家武杨楠张国飞
Owner STATE GRID SHANDONG ELECTRIC POWER COMPANY RIZHAOPOWER SUPPLY