EHV (Extra-High Voltage) power grid fault rule mining method based on rough set association rule

A power grid fault and ultra-high voltage technology, applied in relational databases, electrical digital data processing, special data processing applications, etc., can solve the problems of incompatibility of historical fault databases, reduce the complexity of rule extraction, and high mining efficiency

Inactive Publication Date: 2014-01-01
STATE GRID CORP OF CHINA +1
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a rough set association based on rough set that can effectively solve the incompatibility of traditional data mining met

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  • EHV (Extra-High Voltage) power grid fault rule mining method based on rough set association rule
  • EHV (Extra-High Voltage) power grid fault rule mining method based on rough set association rule
  • EHV (Extra-High Voltage) power grid fault rule mining method based on rough set association rule

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Embodiment Construction

[0044] Such as figure 1 with figure 2 As shown, using the ultra-high voltage power grid fault rule mining method based on the combination of rough set theory and association rules, the main idea of ​​attribute reduction based on rough set theory is to delete redundant or unimportant attributes while keeping the classification ability unchanged. attributes, thereby reducing the search space and improving efficiency. Then, through the idea of ​​association rules, by analyzing the credibility relationship between fault features (that is, condition attribute values ​​in fault samples) and fault areas (decision attribute values), determine the correlation degree and implicit association between fault features and fault areas relation. The implementation steps of the ultra-high voltage power grid fault rule mining method based on rough set association rules in this embodiment are as follows:

[0045] 1) Obtain fault data from the historical fault database and establish a fault s...

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Abstract

The invention relates to an EHV (Extra-High Voltage) power grid fault rule mining method based on a rough set association rule. According to the method, a distributed data mining idea is adopted, historical fault data of an EHV power grid is subjected to fault rule mining by using an association rule mining method based on a rough set theory, a distributed decision table is subjected to attribute reduction by using an attribute reduction algorithm based on an information entropy, and then, an Apriori algorithm in association rules is applied to the decision table, which is subjected to reduction, so as to carry out fault rule extraction. According to the method, the problem of inadaptability to large-data-volume historical fault databases of traditional data mining methods can be solved effectively, the complexity of rule extraction is lowered, and the method has the advantage of high fault rule mining efficiency.

Description

technical field [0001] The invention belongs to the field of power system fault data mining, and relates to a method for mining fault rules of an ultra-high voltage power grid based on rough set association rules. Background technique [0002] With the expansion of the current grid scale and the national conditions of ultra-high voltage grid construction, accurate and rapid judgment of grid faults and scientific scheduling in case of accidents have become important means to ensure the safety, stability, and economic operation of the grid. Although the information obtained in the event of a power grid accident is more complete and comprehensive, with the increase in the transmission of power grid fault information, the resulting increase in the amount of information that the power grid dispatching operators need to pay attention to and process has also greatly increased, resulting in dispatching operations. It is difficult for personnel to quickly and accurately identify the ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F19/00
CPCG06F16/284
Inventor 梁勇超马瑞
Owner STATE GRID CORP OF CHINA
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