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Health degree prediction method and system of power distribution system and computer readable storage medium

A power distribution system and prediction method technology, applied in the field of big data analysis, can solve problems that cannot be accurately and effectively predicted health degree, cannot be obtained intuitively and effectively, and cannot obtain the results of health change status and trend analysis of distribution system, and cannot be accurately and intuitively obtained. Predict problems such as power distribution system faults, and achieve the effect of accurate and intuitive prediction of faults and accurate and effective health prediction.

Active Publication Date: 2019-08-30
云科(山东)电子科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing methods cannot achieve accurate and effective health prediction, cannot accurately and intuitively predict distribution system failures, and cannot intuitively and effectively obtain distribution system health changes and trend analysis results

Method used

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  • Health degree prediction method and system of power distribution system and computer readable storage medium
  • Health degree prediction method and system of power distribution system and computer readable storage medium
  • Health degree prediction method and system of power distribution system and computer readable storage medium

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Experimental program
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Effect test

Embodiment 1

[0044] see figure 1 As shown, a method for predicting the health of a power distribution system provided by Embodiment 1 of the present invention mainly includes:

[0045] Step 101, obtaining time-series historical data of operating characteristic parameters in the power distribution system, where the operating characteristic parameters include at least one type of operating characteristic parameters.

[0046] Specifically, the operating characteristic parameters may include at least one of the following parameter types: input phase voltage, input phase current, distribution system frequency, total active power of the distribution system, single-phase active power of the distribution system, and total power of the distribution system Factor, total active energy of distribution system, single-phase active energy of distribution system, output shunt current, output shunt active power, output shunt electric energy.

[0047] Among them, input phase voltage such as phase voltage s...

Embodiment 2

[0081] Such as figure 2 As shown, a method for predicting the health of a power distribution system provided in Embodiment 2 of the present invention, after step 103 in Embodiment 1 above, further includes:

[0082] Step 104, determine potential fault source information according to health degree information analysis. Specifically:

[0083] Fault source information corresponding to each order of fault symptoms in the transition probability matrix of preset multi-order fault symptoms;

[0084] According to the transition probability matrix of the multi-order fault symptom corresponding to the health degree, the probability information of the target fault caused by the corresponding fault source is calculated.

[0085] The health curve of the power distribution system is analyzed. If the changing trend of the response in the health curve and the value of the health degree meet the preset failure warning conditions, it is determined that there is a potential failure risk. In ...

Embodiment 3

[0087] Corresponding to the health degree prediction method of the power distribution system in the embodiment of the present invention, the embodiment of the present invention also provides a health degree prediction system of the power distribution system, such as image 3 As shown, the system mainly includes:

[0088] The historical data obtaining unit 10 is used to obtain the time series historical data of each operating characteristic parameter in the power distribution system, and the operating characteristic parameter includes at least one parameter type;

[0089]The symptom occurrence probability obtaining unit 20 is used to calculate the transition probability of the multi-order fault symptom corresponding to each operating characteristic parameter according to the obtained time series historical data of the operating characteristic parameters in the power distribution system;

[0090] The health degree information obtaining unit 30 is configured to calculate and obta...

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Abstract

The invention discloses a health degree prediction method and system of a power distribution system and a computer readable storage medium, and the method comprises the steps: obtaining the time series historical data of operation characteristic parameters in the power distribution system, the operation characteristic parameters comprising at least one type of operation characteristic parameters;according to the obtained time sequence historical data of the operation characteristic parameters in the power distribution system, calculating the transition probability of a multi-order fault symptom corresponding to each operation characteristic parameter; and calculating to obtain the health degree information of the power distribution system according to the transition probability of the multi-order fault symptom corresponding to each operation characteristic parameter. By implementing the method, the health degree of the power distribution system can be predicted accurately and effectively.

Description

technical field [0001] The present invention relates to the technical field of big data analysis, in particular to a health degree prediction method, system and computer-readable storage medium of a power distribution system. Background technique [0002] The health detection of power distribution system is an important task in daily maintenance. In the prior art, a method of regularly detecting specific parameters is usually adopted, and the faults of the power distribution system are directly judged and predicted based on the results of the measured parameters. Existing methods cannot achieve accurate and effective health prediction, cannot accurately and intuitively predict distribution system faults, and cannot intuitively and effectively obtain distribution system health changes and trend analysis results. Contents of the invention [0003] In view of this, the present invention provides a health degree prediction method, system and computer-readable storage medium o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F17/18
CPCG06F17/18G06Q10/04G06Q10/0639G06Q50/06
Inventor 籍宏飞徐鹏李彬姜丛斌侯博伟
Owner 云科(山东)电子科技有限公司
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