Method for realizing power-grid equipment failure prewarning through big data mining technology

A technology for power grid equipment and fault early warning, applied in the field of electric power

Inactive Publication Date: 2015-04-08
STATE GRID CORP OF CHINA +2
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Problems solved by technology

The growth of data volume in the power industry also shows a similar trend. The large-scale enterprise information construction in the power industry in recent years, along with the comprehensive construction of the next generation of intelligent grid, the power generation, transmission, transformation, scheduling, distribution, and power consumption The rapid growth of data in various links has formed a certain scale, but the lean development of the power industry cannot rely solely on the increase in the amount of data. How to identify the available data from the massive data and evaluate potential grid security accidents has become a A key step in the informatization of the electric power industry

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  • Method for realizing power-grid equipment failure prewarning through big data mining technology

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Embodiment Construction

[0037] A method for realizing early warning of power grid equipment faults through the numerical technology of big data mining, specifically as follows:

[0038] 1) Through the historical fault data of Jiangsu Electric Power, the main factors causing power grid safety accidents and the relationship between them are analyzed.

[0039] 2) Construct a risk assessment model through historical experience, basic data and the relationship between factors;

[0040] 3) Select the application scenarios of power grid security accidents, and perform data preparation, data screening, and data mining according to the scenarios.

[0041]4) Graphically display the analyzed data through the decision-making platform, and verify the data.

[0042] 2. Through naive Bayesian classification algorithm, data mining and model construction are carried out on the historical equipment fault data of the power grid. Bayesian classification is a general term for a class of classification algorithms. These ...

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Abstract

The invention discloses a method for realizing power-grid equipment failure prewarning through big data mining technology. The method includes the following steps: acquiring main factors causing a power-grid equipment failure through historical failure record and defect data analysis; performing correlation analysis on safety accident factors; building a risk evaluation model through correlation among historical experience, basic data and factors; performing model selection on application scenes of power-grid safety accidents, and performing data preparation, data screening and data mining according to the scenes; graphically displaying data after being analyzed through a decision making platform, and verifying the data. By performing big data analysis on the historical failure record and defect record, tendency that the power-grid equipment is in a failure is prejudged, and safety prewarning is sent out, so that probability that a power grid is in a safety accident is lowered, and running reliability of the power grid is guaranteed.

Description

technical field [0001] The invention belongs to the field of electric power, and relates to a method for early warning of power grid equipment failure, in particular to a method for realizing early warning of power grid equipment failure through big data mining technology Background technique [0002] With the rapid development of the digital information age, the amount of information is also showing explosive growth. The growth of data volume in the power industry also shows a similar trend. The large-scale enterprise information construction in the power industry in recent years, along with the comprehensive construction of the next generation of intelligent grid, the power generation, transmission, transformation, scheduling, distribution, and power consumption The rapid growth of data in various links has formed a certain scale, but the lean development of the power industry cannot rely solely on the increase in the amount of data. How to identify the available data from...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q10/06395G06Q50/06Y04S10/50
Inventor 方泉潘留兴卜晓
Owner STATE GRID CORP OF CHINA
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