Power system fault type analysis method and device based on three-layer data mining

A fault type, power system technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as grid faults, affect timely processing, expand the scope of fault losses, and achieve the effect of improving safety.

Pending Publication Date: 2021-03-09
TIANJIN UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the relay protection device can only decide whether to act according to the current operating conditions, and fails to consider the correlation between electrical quantities, let alone determine which type of fault occurred, which also affects the timely processing after the fault.
Affect the staff to take appropriate post-fault remedial measures in a timely manner. In serious cases, not only cannot deal with the fault in time, but may also cause more serious power grid faults and expand the scope of fault losses

Method used

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  • Power system fault type analysis method and device based on three-layer data mining
  • Power system fault type analysis method and device based on three-layer data mining
  • Power system fault type analysis method and device based on three-layer data mining

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Experimental program
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Effect test

Embodiment 1

[0070] Embodiment 1 of the present invention provides a power system fault type analysis method based on three-layer data mining, including:

[0071] S1: Obtain a first original data sample library, the original data sample library is used to establish a power system fault prediction model, and perform preprocessing and data fusion on the first original data sample library to obtain a second original data sample library;

[0072] Specifically, after the above data collection, data preprocessing and data fusion are completed, the source data sample library is extracted in the following form: {X, F}, where X={X 1 ,X 2 ,...,X i ,...} are the data samples in the source sample library except the fault information, F={F 1 , F 2 ,...,F i ,...} is a sample of fault information. Will F i Defined as the fault type label of each group of samples during training, the present invention takes the most frequently occurring short-circuit faults of the power system as an example, but is ...

Embodiment 2

[0115] Embodiment 2 of the present invention explains the steps of constructing a power grid fault type prediction model based on the second sample database to judge the faults that occur in the power grid:

[0116] Specifically, the fault type prediction model satisfies the linear relationship:

[0117] f(XII j )=w T (XII j )+b

[0118] w—model parameter vector;

[0119] b—intercept;

[0120] w T (XII j )—sample group vector XII j and the inner product of the model parameter vector w;

[0121] Use the gradient descent method to obtain the optimal solution of the fault type model:

[0122] The SVM-type loss function is constructed as follows:

[0123]

[0124] Among them, E(w,b)—empirical risk (that is, the expectation of the loss function);

[0125] αR(w)—structural risk;

[0126] L(F j ,f(XII j ))=log(1+exp(-F j f(XII j ))) — loss function

[0127] f j -actual value

[0128] The regular term R(w) can take the following form:

[0129]

[0130] The op...

Embodiment 3

[0137] The present invention implements three pairs of steps to construct a power grid fault type prediction model based on the second sample database to determine another implementation mode of the fault type that occurs in the power grid, specifically:

[0138] The types of faults that occur in the power grid satisfy the following prediction model:

[0139] f(a,x)=a 1 x n +a 2 x n-1 +...+a n x+a n+1

[0140] 5.2 In the nonlinear prediction model (4-2), the optimization objective function is to obtain the following χ 2 The smallest coefficient (a 1 , a 2 ,...,a n )

[0141]

[0142] the y j ---actual value.

[0143] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process of the above-described system and device can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

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Abstract

The invention provides an electric power system fault type analysis method and device based on three-layer data mining, and the method comprises the steps: S1, obtaining a first original data sample library which is used for building an electric power system fault prediction model, and carrying out the preprocessing and data fusion of the first original data sample library, so as to obtain a second original data sample library; s2, carrying out a kmeans clustering method on the second original data sample library to carry out first-layer data mining on the second original data sample library,and obtaining a first sample library; s3, performing second-layer data mining on the first sample library through an association rule, and obtaining a second sample library; and S4, constructing a power grid fault type prediction model based on the second sample library so as to judge the fault type of the power grid. Through the method and the device provided by the invention, diagnosis can be provided for a power grid fault, a basis is provided for remedial measures after the fault, and the safety of a power system is improved.

Description

technical field [0001] The invention relates to the technical field of electric power analysis, in particular to a method and device for analyzing fault types of power systems based on three-layer data mining. Background technique [0002] With the continuous expansion of the power system, its security is tied to the development of the entire national economy. In order to ensure the reliability and stability of the power system, it is effective to predict and take corresponding preventive measures for upcoming power failures. Prevent electric power accidents and reduce economic losses. At present, power fault diagnosis mainly uses relay protection devices at all levels to work, and judges whether the power system is faulty through the operating status of the protection devices. In addition, the staff will find out the location of the fault by inspecting the electrical equipment, according to the real-time voltage and current data and the status of the alarm device. However...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06K9/62G06F119/02G06F113/04
CPCG06F30/20G06F2113/04G06F2119/02G06F18/23213G06F18/2411
Inventor 吴艳娟王云亮王小东
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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