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Power distribution network evaluation, diagnosis and analysis method, device and equipment and storage medium

A technology for diagnosis and analysis, power grid equipment, applied in data processing applications, instruments, calculations, etc., can solve problems such as failure to effectively sort out, lack of systematic data analysis for fault problems, and cluttered problems.

Pending Publication Date: 2021-02-02
YANGZHOU JIANGDU POWER SUPPLY COMPANY OF JIANGSU ELECTRIC POWER +2
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  • Abstract
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  • Application Information

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Problems solved by technology

[0002] The distribution network is characterized by multiple points, wide areas, rapid changes, and complex structure, which leads to insufficient construction and management level, messy problems, and failure to effectively sort out. There is also a lack of systematic data analysis for fault problems, and solutions cannot be proposed from the source. , only relying on artificial analysis of existing problems, because the evaluation and diagnosis relying on manual inspection and sorting is affected by the quality of personnel, which has a certain impact on the necessity and accuracy of decision-making implementation, so that the problems exposed during operation cannot be resolved in an orderly manner , resulting in some problems not being solved in time and affecting the safe operation of the equipment

Method used

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  • Power distribution network evaluation, diagnosis and analysis method, device and equipment and storage medium
  • Power distribution network evaluation, diagnosis and analysis method, device and equipment and storage medium

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Embodiment 1

[0033] figure 1 It is a flow chart of a distribution network evaluation, diagnosis and analysis method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of making a decision on a fault handling plan for a target resource. This method can be implemented by a distribution network evaluation, diagnosis and analysis device For execution, the apparatus may be implemented in software and / or hardware, and the apparatus may be configured in a terminal device. Specifically include the following steps:

[0034] S110. Obtain a measured state parameter of the measured target.

[0035] Wherein, for example, the target resource may be a hardware device, such as an ultrasonic device, or an energy material, such as steel, or a food product, such as milk.

[0036] Decision tree is a typical machine learning classification model. The model establishes a mapping relationship between object attributes and object values, so it can directly process ...

Embodiment 2

[0042] figure 2It is a flow chart of a distribution network evaluation, diagnosis and analysis method provided in Embodiment 2 of the present invention. The technical solution of this embodiment is further refined on the basis of the above embodiments. Optionally, the distribution network evaluation and diagnosis model is trained based on a decision tree algorithm, including: obtaining sample state parameters of observed distribution network equipment, and inputting the sample state parameters into the distribution network evaluation diagnosis analysis model; Among them, the sample state parameters include the annual maximum load rate of the observed distribution network equipment, the operating life of the distribution transformer, the power supply radius, the power supply area, whether there is a fault, defect, abnormality, model, and distribution transformer capacity; The sample state parameters of the distribution network equipment determine the sample data, and save the ...

Embodiment 3

[0059] image 3 It is a flow chart of a distribution network evaluation, diagnosis and analysis method provided in Embodiment 3 of the present invention. The technical solution of this embodiment is further refined on the basis of the above embodiments. Wherein, the resource object includes the resource object corresponding to the initial distribution network evaluation and diagnosis model; the resource object parameters include the annual maximum load rate, distribution transformer operating life, power supply radius, power supply area, whether it is faulty, defect, abnormal , model, distribution transformer capacity.

[0060] The specific implementation steps of this embodiment include:

[0061] S310. Obtain the sample state parameters of the target resource through the distribution network terminal acquisition device, and initialize the initial distribution network evaluation and diagnosis model;

[0062] S320. Save the sample data in the training sample database accordin...

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Abstract

The invention discloses a power distribution network evaluation, diagnosis and analysis method, device and equipment and a storage medium, and the method comprises the following steps: S1, obtaining atested state parameter of tested power distribution network equipment; and S2, inputting the tested state parameters into a pre-trained decision tree model to obtain an output evaluation analysis result and a processing strategy of the tested power distribution network, and obtaining a strategy classification model based on training of the decision tree model. According to the invention, the fault processing classification model of the power distribution network equipment is trained based on the C4.5 decision tree algorithm, and the problems that unified data analysis is lacked in fault problem sorting of the power distribution network, the quality deviation of technicians is large, and problems are hard to distinguish and cannot be solved in time are solved. And an auxiliary decision-making method is provided for diagnosis analysis and fault processing of the power distribution network.

Description

technical field [0001] The invention relates to the field of distribution network evaluation and diagnosis, in particular to a method, device, equipment and storage medium for evaluation, diagnosis and analysis when a fault occurs in a distribution network. Background technique [0002] The distribution network is characterized by multiple points, wide areas, rapid changes, and complex structure, which leads to insufficient construction and management level, messy problems, and failure to effectively sort out. There is also a lack of systematic data analysis for fault problems, and solutions cannot be proposed from the source. , only relying on artificial analysis of existing problems, because the evaluation and diagnosis relying on manual inspection and sorting is affected by the quality of personnel, which has a certain impact on the necessity and accuracy of decision-making implementation, so that the problems exposed during operation cannot be resolved in an orderly manne...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/00G06Q50/06G06K9/62
CPCG06Q10/0639G06Q10/20G06Q50/06G06F18/241
Inventor 殷俊耿文逸李佳乐罗鹏周慧
Owner YANGZHOU JIANGDU POWER SUPPLY COMPANY OF JIANGSU ELECTRIC POWER
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