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Grid fault diagnosis method based on data mining

A power grid fault and data mining technology, applied in fault location, electrical digital data processing, special data processing applications, etc., can solve problems such as incomplete comprehensive application of mining methods, achieve convenient data retrieval, and solve a wide range of problems.

Inactive Publication Date: 2014-09-03
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0003] At present, the research on data mining in the power system can not meet the actual needs, and there are also defects in the comprehensive application of mining methods in data mining.

Method used

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  • Grid fault diagnosis method based on data mining
  • Grid fault diagnosis method based on data mining
  • Grid fault diagnosis method based on data mining

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Embodiment Construction

[0034] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0035] With the continuous expansion of the scale of the power grid, there will be a large amount of fault information when the power grid fails. The system involved in the present invention mainly serves the dispatching department of the power grid. The system uses computer-aided decision-making to improve the processing efficiency of faults, effectively mines information from a large number of fault information, discovers knowledge in time from the information, and provides it to the dispatcher to make a decision. Make decisions accordingly. Aiming at these problems, this system studies fault diagnosis of power grid based on data mining technology, and provides corresponding auxiliary decision-making information for dispatcher's reference. The system structure diagram is as follows figure 1 shown.

[0036] Method of the present invention comprises the fo...

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Abstract

The invention provides a grid fault diagnosis method based on data mining. The method comprises the steps of establishing a multidimensional data model and a fault fact table, conducting clustering analysis on fault data, conducting association rule analysis on the fault data, conducting Bayesian network establishment and training on the fault data, and obtaining a result. By means of the method, the problem of multiple sources of grid fault data is solved, data marts with corresponding themes are established according to different requirements, and therefore data retrieval is more convenient. Furthermore, data are analyzed by means of the three classic algorithms in data mining, namely clustering analysis, association rules and the Bayesian network, unknown knowledge is finally discovered through comprehensive analysis of the results of the three algorithms, and then auxiliary suggestions are provided for grid fault handling.

Description

technical field [0001] The invention relates to a grid fault diagnosis method, in particular to a data mining-based grid fault diagnosis method. Background technique [0002] With the continuous expansion of the grid scale, there will be a large amount of fault information on the grid when a fault occurs. After the dispatch center receives these information, dispatchers generally quickly analyze the fault characteristics, determine the faulty equipment and restore power supply as soon as possible. However, in the actual diagnosis of power grid faults, it is faced with the problem of how to find out the correlation of the mutual influence between the cascading faults and the probability of this fault causing other faults from the massive historical fault data. [0003] At present, the research on data mining in power system can not meet the actual needs, and there is also the defect that the comprehensive application of mining methods is not yet complete in data mining. Con...

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Application Information

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IPC IPC(8): G01R31/08G06F19/00
Inventor 康建东张龙钦鲁广明孙谊媊李伟于永军刘钊呈孙树明谢昶于之虹严剑峰秦艳辉
Owner STATE GRID CORP OF CHINA
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