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Substation grounding grid operation stage and operation life prediction method and device

A technology for substation grounding grid and operation stage, which is applied in the field of substation grounding grid operation stage and operation life prediction field, can solve the problems of inability to accurately grasp the substation grounding grid operation stage, waste of manpower and material resources, lack of scientificity, etc., to ensure diversity, The effect of good scalability and high clustering accuracy

Active Publication Date: 2021-02-05
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +3
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Problems solved by technology

[0005] In order to overcome the deficiencies in the prior art, the object of the present invention is to provide a substation grounding grid operation stage and operation life prediction method and device based on the improved random forest algorithm, aiming to solve the lack of scientific knowledge in the prior art when evaluating the operating status of the substation grounding grid. Sexuality, strong blindness, waste of manpower and material resources, unable to accurately grasp the operation stages of substation grounding grids of different ages and the problem of selecting the optimal measurement method in the corresponding stage

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  • Substation grounding grid operation stage and operation life prediction method and device
  • Substation grounding grid operation stage and operation life prediction method and device

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specific Embodiment 1

[0063]Such asfigure 1 withFigure 4 As shown, the embodiment of the present invention provides a method for predicting the operation phase and operation life of a substation grounding grid based on an improved random forest algorithm, including the following steps.

[0064]In the construction step S1, various initial data are obtained and the original sample set is constructed. In this step, the various types of initial data may include repair results of the grounding grid of the substation, grounding grid material, soil condition data, and climate data. Among them, the maintenance results of the grounding grid of the substation, the material of the grounding grid, and the soil condition are obtained from the records of the substation, and the climate and other data are obtained from the regional meteorological department. The relevant information of the grounding grids of these different substations is sorted out at various points in time. The data constitute the original sample set. T...

specific Embodiment 2

[0091]Such asFigure 5As shown, the embodiment of the present invention provides a device for predicting the operation phase and operation life of a substation grounding grid based on an improved random forest algorithm, including:

[0092]The construction module 201 is used to obtain various initial data and construct an original sample set;

[0093]The extraction module 202 is used to summarize and extract feature variables based on the characteristics of the original sample set;

[0094]The clustering module 203 is used for clustering the original sample set by considering the features of the existing data and using the K-medoids method;

[0095]The prediction module 204 is used to process various samples using the random forest algorithm, extract training sets from various sample sets through bootstrap sampling technology, build classification regression trees and generate decision trees respectively, and aggregate them to form a random forest model; ground the substation to be predicted The...

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Abstract

The invention discloses a method and device for predicting the operation stage and service life of a grounding grid of a substation based on the improved random forest algorithm. The method includes the following steps that initial data is obtained, and an original sample set is constructed; based on the characteristics of an original sample set, characteristic variables are extracted; the K-medoids method is used for clustering of the original sample set; the random forest algorithm is used for processing various samples, and a random forest model is formed; the to-be-predicted substation grounding grid characteristic variables are loaded into a random forest model, and the operation time in a feature vector is changed to obtain the relationship of an evaluation result and the operation time, and the predicted result of an operation stage and operation life are deduced. The randomness of the original sample set classification in the random forest algorithm is improved; the forest model is generated on the basis of the random forest algorithm, the generalization error is controllable, and the clustering accuracy is high; various factors affecting the state of the grounding grid ofthe substation are taken into account comprehensively, and different operation stages are divided to identify the corrosion state of the grounding grid in the corresponding stage through combination of the most suitable grounding grid fault detection method.

Description

Technical field[0001]The present invention relates to the technical field of grounding grid performance evaluation, in particular to a method and device for predicting the operation phase and operating life of a substation grounding grid based on an improved random forest algorithm.Background technique[0002]With the rapid improvement of people's living standards in the new century, the demand for electricity is increasing, and the importance of substations that carry power transmission has become increasingly prominent. Among them, a good substation grounding grid is an important pillar for the safe and reliable operation of the substation.[0003]In order to ensure a good discharge capacity, the substation grounding grid is generally buried deep underground, which causes the grounding grid to be prone to corrosion and fracture. Affected by factors such as region, climate, and man-made factors, the time span of substation grounding grid corrosion that affects the safe operation of sub...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08G01R31/52G01N17/00
CPCG01N17/006G01R31/088G01R31/50
Inventor 陶亚光姚德贵刘尧吕中宾寇晓适李清杨晓辉卢明张博董曼玲谢凯刘阳姚伟张世尧
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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