CN116804695A - Cable state determining method and device based on historical fault event - Google Patents

Cable state determining method and device based on historical fault event Download PDF

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CN116804695A
CN116804695A CN202310943987.XA CN202310943987A CN116804695A CN 116804695 A CN116804695 A CN 116804695A CN 202310943987 A CN202310943987 A CN 202310943987A CN 116804695 A CN116804695 A CN 116804695A
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fault
historical
repeated
predicted
partial discharge
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李华
张文海
于广吉
楚恬歆
朱一民
马海军
高德文
王建华
丁继波
马元林
虎耀森
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Sichuan University
National Energy Group Ningxia Coal Industry Co Ltd
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National Energy Group Ningxia Coal Industry Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08—Locating faults in cables, transmission lines, or networks
    • G01R31/088—Aspects of digital computing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08—Locating faults in cables, transmission lines, or networks
    • G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/083—Locating faults in cables, transmission lines, or networks according to type of conductors in cables, e.g. underground
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
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Abstract

The application provides a cable state determining method and device based on historical fault events, wherein the method comprises the following steps: based on a DBSCAN clustering algorithm, carrying out repeated fault cause identification processing on all historical fault events; predicting all historical fault events to obtain a plurality of predicted fault current integrals and a plurality of predicted fault voltage minimums, predicting the predicted fault current integrals and the predicted fault voltage minimums of all repeated historical fault events by adopting a gray prediction algorithm to obtain repeated predicted fault current integrals and repeated predicted fault voltage minimums, and reflecting the aging degree of the cable by considering the dielectric loss mutation value, the dielectric loss average value, the partial discharge increment and the total partial discharge quantity, thereby further improving the accuracy of evaluating the cable state and further solving the problem of lower evaluation accuracy caused by neglecting repeated early faults in the prior art.

Description

Cable state determining method and device based on historical fault event
Technical Field
The application relates to the technical field of data processing, in particular to a cable state determining method and device based on historical fault events and electronic equipment.
Background
The distribution line is used as an important component of the distribution network, and the health state of the distribution line is directly related to safe and reliable operation of the distribution network. Research and measured data show that the problem of insulation degradation can occur due to various reasons in the long-term operation process of the power distribution network cable, and early faults can repeatedly occur before permanent faults occur.
The existing cable state evaluation method mainly starts from one side based on waveform characteristics and test data. The method based on waveform features mainly comprises the step of extracting feature quantities of a time domain, a frequency domain or a multi-scale time-frequency domain through a signal processing algorithm. The characteristic quantity comprises fault duration, fault current peak value, fault initial phase angle, high-frequency component and the like, and the related algorithm comprises wavelet transformation, variable point detection and support vector machine.
Methods based on experimental data include partial discharge detection, dielectric response, dielectric loss tangent. The partial discharge detection method reflects the insulation degradation level of the cable by monitoring the partial discharge parameters of the cable, including the partial discharge load, the charge density and the incidence rate. The dielectric response rule is to apply ac or dc excitation to the test cable and evaluate the insulation condition of the cable by aging factor, isothermal relaxation current curve, polarization/depolarization current curve and other parameters. The dielectric loss tangent rule is based on the dielectric loss angle for cable condition assessment. In addition, there are methods based on the amount of space charge, the temperature at which the cable is operated.
The defects of the existing scheme are that:
the existing method is based on the waveform characteristics of early faults for evaluation, however, the mapping relation between the waveform characteristics and the cable insulation degradation process is not clear, and the evaluation accuracy is affected;
the existing method starts from disturbance test data, has the problems that the data update is slow, the evaluation is lagged, and the method is difficult to use for online evaluation although the physical meaning is clear;
most of the existing methods evaluate single fault events, and neglect the association relationship among repeated early faults.
Disclosure of Invention
The application aims to provide a cable state determining method, device and electronic equipment based on historical fault events, which at least solve the problem that evaluation accuracy is low because the prior scheme ignores repeated early faults.
To achieve the above object, according to one aspect of the present application, there is provided a method of determining a cable status based on a history of fault events, the method comprising: acquiring a plurality of historical fault events, and carrying out repeated identification processing on fault reasons of all the historical fault events based on a DBSCAN clustering algorithm to obtain a plurality of repeated historical fault events and a plurality of non-repeated historical fault events, wherein the repeated historical fault events are the historical fault events with repeated fault reasons in all the historical fault events, and the non-repeated historical fault events are the historical fault events except for the repeated historical fault events in all the historical fault events; predicting all the historical fault events to obtain a plurality of predicted fault current integrals and a plurality of predicted fault voltage minimums, and predicting the predicted fault current integrals and the predicted fault voltage minimums of all the repeated historical fault events by adopting a gray prediction algorithm to obtain repeated predicted fault current integrals and repeated predicted fault voltage minimums; acquiring a plurality of historical test data, wherein each historical test data respectively comprises a dielectric loss, a partial discharge capacity and an insulation resistance, the dielectric loss is an index reflecting the aging condition of a cable, the partial discharge capacity is an index reflecting the severity of the defect of the cable, and a dielectric loss mutation value, a dielectric loss average value, a partial discharge increment and a partial discharge total amount are determined according to all the historical test data, wherein the partial discharge increment is the difference value of adjacent partial discharge capacities in all the partial discharge capacities, and the partial discharge total amount is the sum of all the partial discharge capacities; according to at least one of the following: determining a plurality of cable state results, wherein each cable state is normal or abnormal, a non-repeated historical predicted value, a repeated historical predicted value, the dielectric loss abrupt change value, the dielectric loss average value, the partial discharge increment, the partial discharge total amount and a target insulation resistance, wherein the non-repeated historical predicted value comprises all the predicted fault current integrals and the predicted fault voltage minimum values of the non-repeated historical fault events, the repeated historical predicted value comprises all the predicted fault current integrals and the predicted fault voltage minimum values of the repeated historical fault events, and the target insulation resistance is one of all the insulation resistances; and in the case that at least one cable state result is abnormal, determining that the final cable state result is abnormal.
Optionally, the plurality of cable status results includes a first cable status result, and determining the first cable status result according to the non-repeating historical predicted value includes: determining that the first cable status result is abnormal if the predicted fault current integral of the non-recurring historical fault event is greater than or equal to a current integral threshold and/or if the predicted fault voltage minimum of the non-recurring historical fault event is greater than or equal to a voltage minimum threshold; and determining that the first cable state result is normal if the predicted fault current integral of the non-repeated historical fault event is less than the current integral threshold and the predicted fault voltage minimum of the non-repeated historical fault event is less than the voltage minimum threshold.
Optionally, the plurality of cable status results includes a second cable status result, and determining the second cable status result according to the repetition history prediction value includes: determining that the second cable state result is abnormal if the predicted fault current integral of the repeated historical fault event is greater than or equal to a current integral threshold and/or if the predicted fault voltage minimum of the repeated historical fault event is greater than or equal to a voltage minimum threshold; and determining that the second cable state result is normal if the predicted fault current integral of the repeated historical fault event is less than the current integral threshold and the predicted fault voltage minimum of the repeated historical fault event is less than the voltage minimum threshold.
Optionally, the plurality of cable status results includes a third cable status result, and determining the third cable status result according to the dielectric loss mutation value includes: determining that the third cable state result is abnormal under the condition that the dielectric loss mutation value is larger than or equal to a mutation value threshold value; and under the condition that the dielectric loss mutation value is smaller than the mutation value threshold value, determining that the third cable state result is normal.
Optionally, the plurality of cable status results includes a fourth cable status result, and determining the fourth cable status result according to the dielectric loss average value includes: determining that the fourth cable state result is abnormal when the dielectric loss average value is greater than or equal to an average value threshold value; and determining that the fourth cable state result is normal under the condition that the dielectric loss average value is smaller than the average value threshold value.
Optionally, the plurality of cable status results includes a fifth cable status result, and determining the fifth cable status result according to the partial discharge increment includes: under the condition that the local amplification increment is greater than or equal to an increment threshold, determining that the fifth cable state result is abnormal; and under the condition that the partial discharge increment is smaller than the increment threshold, determining that the fifth cable state result is normal.
Optionally, the plurality of cable status results includes a sixth cable status result, and determining the sixth cable status result according to the total partial discharge includes: determining that the sixth cable state result is abnormal under the condition that the total partial discharge amount is greater than or equal to a total partial discharge amount threshold value; and under the condition that the total partial discharge amount is smaller than the total partial discharge amount threshold value, determining that the sixth cable state result is normal.
Optionally, the plurality of cable status results includes a seventh cable status result, and determining the seventh cable status result according to a target insulation resistance includes: determining that the seventh cable state result is abnormal if the target insulation resistance is greater than or equal to a resistance threshold; and determining that the seventh cable state result is normal in the case that the target insulation resistance is smaller than the resistance threshold.
According to another aspect of the present application, there is provided a device for determining a cable status based on a historical fault event, the device comprising:
the first acquisition unit is used for acquiring a plurality of historical fault events, carrying out repeated fault cause identification processing on all the historical fault events based on a DBSCAN clustering algorithm to obtain a plurality of repeated historical fault events and a plurality of non-repeated historical fault events, wherein the repeated historical fault events are the historical fault events with repeated fault causes in all the historical fault events, and the non-repeated historical fault events are the historical fault events except for the repeated historical fault events in all the historical fault events;
The processing unit is used for predicting all the historical fault events to obtain a plurality of predicted fault current integrals and a plurality of predicted fault voltage minima, and predicting all the predicted fault current integrals and the predicted fault voltage minima of the repeated historical fault events by adopting a gray prediction algorithm to obtain repeated predicted fault current integrals and repeated predicted fault voltage minima;
a second obtaining unit, configured to obtain a plurality of historical test data, where each historical test data includes a dielectric loss, a partial discharge capacity, and an insulation resistance, where the dielectric loss is an index reflecting an aging condition of a cable, the partial discharge capacity is an index reflecting a severity of a defect of the cable, and determine, according to all the historical test data, a dielectric loss mutation value, a dielectric loss average value, a partial discharge increment, and a partial discharge total amount, where the partial discharge increment is a difference value between adjacent partial discharge capacities in all the partial discharge capacities, and the partial discharge total amount is a sum of all the partial discharge capacities;
a first determining unit for determining the first value according to at least one of: determining a plurality of cable state results, wherein each cable state is normal or abnormal, a non-repeated historical predicted value, a repeated historical predicted value, the dielectric loss abrupt change value, the dielectric loss average value, the partial discharge increment, the partial discharge total amount and a target insulation resistance, wherein the non-repeated historical predicted value comprises all the predicted fault current integrals and the predicted fault voltage minimum values of the non-repeated historical fault events, the repeated historical predicted value comprises all the predicted fault current integrals and the predicted fault voltage minimum values of the repeated historical fault events, and the target insulation resistance is one of all the insulation resistances;
And the second determining unit is used for determining that the final cable state result is abnormal under the condition that at least one cable state result is abnormal.
According to another aspect of the present application, there is provided an electronic device comprising one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising a method for performing any of the historical fault event based cable state determination methods.
By adopting the technical scheme, the repeated historical fault events are uniformly predicted according to the gray prediction method by considering the problem of the repeatability of the fault cause, the accuracy of the cable state evaluation is improved by finally considering multiple factors, and the aging degree of the cable can be embodied by considering the dielectric loss mutation value, the dielectric loss average value, the partial discharge increment and the total partial discharge amount, so that the accuracy of the cable state evaluation is further improved, and the problem of lower evaluation accuracy caused by the fact that the repeated early faults are ignored in the conventional scheme is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:
FIG. 1 is a flow chart of a method for determining a cable status based on a historical failure event according to an embodiment of the present application;
FIG. 2 is a flow chart illustrating another method of determining a cable status based on historical fault events;
FIG. 3 is a flow chart showing the steps of how the final cable status result is determined based on a plurality of cable status results;
fig. 4 shows a block diagram of a cable status determining device based on historical fault events according to an embodiment of the present application.
Detailed Description
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the application herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As described in the background art, the existing method evaluates based on the waveform characteristics of the early fault, however, the mapping relationship between the waveform characteristics and the cable insulation degradation process is not clear, and the evaluation accuracy is affected; the existing method starts from disturbance test data, has the problems that the data update is slow, the evaluation is lagged, and the method is difficult to use for online evaluation although the physical meaning is clear; most of the existing methods evaluate single fault events, neglect association relations among repeated early faults, and in order to solve the problem of low evaluation accuracy caused by the fact that the repeated early faults are ignored in the existing scheme, the embodiment of the application provides a cable state determining method, device and electronic equipment based on historical fault events.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application.
The embodiments of the present application provide a method of determining cable status based on historical fault events, it being noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system, such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
Fig. 2 is a flow chart of a method for determining a cable status based on a historical fault event according to an embodiment of the present application. As shown in fig. 2, the method comprises the steps of:
step S101, obtaining a plurality of historical fault events, and carrying out repeated fault cause identification processing on all the historical fault events based on a DBSCAN clustering algorithm to obtain a plurality of repeated historical fault events and a plurality of non-repeated historical fault events, wherein the repeated historical fault events are the historical fault events with repeated fault causes in all the historical fault events, and the non-repeated historical fault events are the historical fault events except the repeated historical fault events in all the historical fault events;
Specifically, for early fault repeatability identification, the disturbance duration Δt, the harmonic HH1 with the largest harmonic amplitude, the harmonic HH2 with the next largest harmonic amplitude, the maximum value mI0 of the zero sequence current effective value during the fault period, and the average aI0 are respectively extracted, and then feature vectors s1= { Δt, HH1, HH2, rI0m, aI0m } are constructed, which will be used for disturbance event cluster analysis for judging whether the fault is a repeatability fault.
And calculating and taking a current spectrogram by adopting an FFT algorithm, then taking the frequency value corresponding to the maximum amplitude value as HH1, and taking the frequency value corresponding to the next maximum amplitude value as HH2. The effective value of the zero sequence current is calculated by adopting a half-wave sliding window, and is as follows:
wherein N is half For rI0 (k) is zero sequenceThe effective values of the current at the kth sampling sequence (k=ks, ks+1, ks+2,..ke), ks and ke being the sampling point numbers corresponding to the start and stop moments of the fault, respectively.
The dbsac (Density-Based Spatial Clustering of Applications with Noise) can define clusters as the maximum combination of points connected in Density, and can divide a region with high enough Density into clusters, namely, can identify the repeatability of the fault reasons, so that the historical fault events with the same fault reasons can be identified, and the normalization processing of the features in the historical fault events is a conventional technical means, which is not repeated here.
Step S102, predicting all the historical fault events to obtain a plurality of predicted fault current integrals and a plurality of predicted fault voltage minima, and predicting all the predicted fault current integrals and the predicted fault voltage minima of the repeated historical fault events by adopting a gray prediction algorithm to obtain repeated predicted fault current integrals and repeated predicted fault voltage minima;
specifically, for cable state evaluation, calculating a fault current integral Q (integral of a zero sequence current effective value during a fault period), and a fault phase voltage minimum Vfinal, wherein the fault phase voltage minimum Vfinal is equal to the minimum of a three-phase voltage effective value during the fault period, acquiring a historical repetitive early fault event characteristic quantity, and estimating an early fault characteristic quantity development trend based on a gray prediction algorithm;
for a historical fault event of a non-repeated fault cause, constructing a waveform characteristic vector based on a single early fault event, calculating a current integral Q and a fault phase voltage minimum value Vfaultmin according to the single fault event, and for the non-repeated fault event, only one event is provided, and no nearest, maximum or minimum exists.
Step S103, obtaining a plurality of historical test data, wherein each historical test data respectively comprises a dielectric loss, a partial discharge capacity and an insulation resistance, the dielectric loss is an index reflecting the aging condition of a cable, the partial discharge capacity is an index reflecting the severity of the defect of the cable, and a dielectric loss mutation value, a dielectric loss average value, a partial discharge increment and a partial discharge total amount are determined according to all the historical test data, the partial discharge increment is the difference value of adjacent partial discharge capacities in all the partial discharge capacities, and the partial discharge total amount is the sum of all the partial discharge capacities;
specifically, the history test data is obtained through a periodic preventive test, and the dielectric loss mutation value, the dielectric loss average value, the partial discharge increment and the total partial discharge can be obtained through an index reflecting the aging condition of the cable, an index reflecting the severity of the defect of the cable and the insulation resistance, specifically as follows:
the dielectric loss mutation value is the difference between the current dielectric loss value and the last measured value of the measured values, the dielectric loss average value is the average value of all dielectric losses, the total partial discharge amount is the sum of partial discharge amounts, and the partial discharge increment is the difference between two values closest to the current time in the acquisition date in all the partial discharge amounts.
Step S104, according to at least one of the following: determining a plurality of cable status results, each of which is normal or abnormal, a non-repeating history prediction value including the predicted fault current integral and the predicted fault voltage minimum value for all the non-repeating history fault events, a repeating history prediction value including the predicted fault current integral and the predicted fault voltage minimum value for all the repeating history fault events, the partial discharge increment, the partial discharge total amount, and the target insulation resistance;
specifically, a plurality of cable state results are obtained by considering a non-repeated historical predicted value, a repeated historical predicted value, the dielectric loss abrupt change value, the dielectric loss average value, the partial discharge increment, the partial discharge total amount and the target insulation resistance, so that the purpose of evaluating the cable state by the multi-source data is achieved.
In step S104, the plurality of cable state results include a first cable state result, and determining the first cable state result according to the non-repetitive history prediction value includes:
determining that the first cable state result is abnormal when the predicted fault current integral of the non-repeated historical fault event is greater than or equal to a current integral threshold, which may be a historical statistical maximum, and the predicted fault voltage minimum of the non-repeated historical fault event is greater than or equal to a voltage minimum threshold; and determining that the first cable state result is normal when the predicted fault current integral of the non-repeated historical fault event is less than the current integral threshold and the predicted fault voltage minimum of the non-repeated historical fault event is less than the voltage minimum threshold.
Specifically, when the predicted fault current integral of the non-repeated historical fault event is greater than or equal to a current integral threshold and/or the predicted fault voltage minimum of the non-repeated historical fault event is greater than or equal to a voltage minimum threshold, it is indicated that both the fault current integral and the fault voltage minimum are greater at this time, and a fault is easily caused, thereby indicating that the first cable state result is abnormal; when the predicted fault current integral of the non-repeated historical fault event is smaller than the current integral threshold and the predicted fault voltage minimum of the non-repeated historical fault event is smaller than the voltage minimum threshold, it is indicated that the fault current integral and the fault voltage minimum are smaller at this time, and faults are difficult to cause, and therefore it is indicated that the first cable state result is normal.
In step S104, the plurality of cable state results include a second cable state result, and determining the second cable state result according to the repetition history prediction value includes: determining that the second cable state result is abnormal if the predicted fault current integral of the repeated historical fault event is greater than or equal to a current integral threshold and/or if the predicted fault voltage minimum of the repeated historical fault event is greater than or equal to a voltage minimum threshold; and determining that the second cable state result is normal when the predicted fault current integral of the repeated history fault event is less than the current integral threshold and the predicted fault voltage minimum of the repeated history fault event is less than the voltage minimum threshold.
Specifically, when the predicted fault current integral of the repeated history fault event is greater than or equal to a current integral threshold and/or the predicted fault voltage minimum of the repeated history fault event is greater than or equal to a voltage minimum threshold, it is indicated that both the fault current integral and the fault voltage minimum are greater at this time, and a fault is easily caused, thereby indicating that the second cable state result is abnormal; when the predicted fault current integral of the repeated history fault event is smaller than the current integral threshold and the predicted fault voltage minimum of the repeated history fault event is smaller than the voltage minimum threshold, it is indicated that the fault current integral and the fault voltage minimum are smaller at this time, and a fault is difficult to be caused, and it is indicated that the second cable state result is normal.
In step S104, the plurality of cable state results includes a third cable state result, and determining the third cable state result according to the dielectric loss mutation value includes: determining that the third cable status result is abnormal when the dielectric loss mutation value is greater than or equal to a mutation value threshold (the mutation value threshold may be 80); and determining that the third cable state result is normal under the condition that the dielectric loss mutation value is smaller than the mutation value threshold value.
Specifically, since the dielectric loss mutation value is used to reflect the case of a mutation in the aging condition of the cable, a larger mutation value indicates that the aging condition of the cable is more aged, and therefore, in the case where the dielectric loss mutation value is greater than or equal to the mutation value threshold value, the third cable state result is determined to be abnormal, and in the case where the dielectric loss mutation value is less than the mutation value threshold value, the third cable state result is determined to be normal.
The dielectric loss is an index reflecting the aging condition of the cable, the partial discharge amount is an index reflecting the severity of the defect of the cable, and the dielectric loss mutation value, the dielectric loss average value, the partial discharge increment and the total partial discharge amount are determined according to all the historical test data, wherein the partial discharge increment is the difference value of the adjacent partial discharge amounts in all the partial discharge amounts, and the total partial discharge amount is the sum of all the partial discharge amounts
In step S104, the plurality of cable state results include a fourth cable state result, and determining the fourth cable state result according to the average dielectric loss value includes: determining that the fourth cable status result is abnormal in the case that the dielectric loss average value is greater than or equal to an average value threshold value (the average value threshold value may be 50); and when the dielectric loss average value is smaller than the average value threshold value, determining that the fourth cable state result is normal.
Specifically, since the dielectric loss average value is used to reflect the average level of the aging condition of the cable, the larger the average level is, the more serious the aging is, and therefore, in the case where the dielectric loss average value is greater than or equal to the average value threshold value, the fourth cable state result is determined to be abnormal; and when the dielectric loss average value is smaller than the average value threshold value, determining that the fourth cable state result is normal.
In step S104, the plurality of cable state results includes a fifth cable state result, and determining the fifth cable state result according to the partial discharge increment includes: determining that the fifth cable status result is abnormal when the partial discharge increment is greater than or equal to an increment threshold (the increment threshold may be 100); and under the condition that the partial discharge increment is smaller than the increment threshold, determining that the fifth cable state result is normal.
Specifically, since the local discharge increment is used to reflect the increase in the severity of the defect of the cable, the greater the increase in the severity of the defect of the cable, the more severe the aging of the cable is, thereby causing the greater the severity of the defect of the cable, and therefore, in the case that the local discharge increment is greater than or equal to the increment threshold, the above-mentioned fifth cable state result is determined to be abnormal; and under the condition that the partial discharge increment is smaller than the increment threshold, determining that the fifth cable state result is normal.
In step S104, the plurality of cable state results include a sixth cable state result, and determining the sixth cable state result according to the total partial discharge includes: determining that the sixth cable state result is abnormal when the total partial discharge amount is greater than or equal to a total partial discharge amount threshold (the total partial discharge amount threshold may be 200); and under the condition that the total partial discharge amount is smaller than the total partial discharge amount threshold value, determining that the sixth cable state result is normal.
Specifically, since the total amount of partial discharge is used to reflect the sum of the severity of the defects of the cable, the greater the sum of the severity of the defects of the cable, the more severe the aging of the cable is, and the greater the severity of the defects of the cable is, the more serious the defects of the cable are, and therefore, in the case that the total amount of partial discharge is greater than or equal to the total amount of partial discharge threshold, the above-mentioned sixth cable state result is determined to be abnormal; and under the condition that the total partial discharge amount is smaller than the total partial discharge amount threshold value, determining that the sixth cable state result is normal.
In step S104, the plurality of cable state results includes a seventh cable state result, and determining the seventh cable state result according to the target insulation resistance includes: determining that the seventh cable state result is abnormal in the case where the target insulation resistance is greater than or equal to a resistance threshold (the resistance threshold may be 30mΩ); and when the target insulation resistance is smaller than the resistance threshold, determining that the seventh cable state result is normal.
In particular, the insulation resistance may most visually reflect the overall insulation state of the cable.
In addition, the above threshold comparison can be set as two thresholds, if the threshold is smaller than the smaller threshold, the threshold is judged to be normal, if the threshold is between the two thresholds, the threshold is judged to be concerned, and if the threshold is larger than the larger threshold, the threshold is judged to be abnormal.
Step S105, when at least one cable state result is abnormal, determining that the final cable state result is abnormal.
According to the embodiment, the repeated historical fault events are predicted uniformly according to the gray prediction method by considering the problem of the repeatability of the fault reasons, the accuracy of the cable state evaluation is improved by considering multiple factors, and the aging degree of the cable can be embodied by considering the dielectric loss mutation value, the dielectric loss average value, the partial discharge increment and the total partial discharge amount, so that the accuracy of the cable state evaluation is further improved, and the problem of low evaluation accuracy caused by the fact that the repeated early faults are ignored in the conventional scheme is solved.
In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation procedure of the method for determining a cable status based on a historical failure event according to the present application will be described in detail with reference to specific embodiments.
The embodiment relates to a specific method for determining a cable status based on a historical fault event, as shown in fig. 2 and 3, including the following steps:
fig. 2 illustrates the steps of a method of determining a cable status based on historical fault events:
step S1: acquiring a plurality of historical fault events, and carrying out repeated identification processing on fault causes of all the historical fault events based on a DBSCAN clustering algorithm to obtain a plurality of repeated historical fault events and a plurality of non-repeated historical fault events, wherein the repeated historical fault events are the historical fault events with repeated fault causes in all the historical fault events, and the non-repeated historical fault events are the historical fault events except the repeated historical fault events in all the historical fault events;
step S2: predicting all the historical fault events to obtain a plurality of predicted fault current integrals and a plurality of predicted fault voltage minimums, and predicting the predicted fault current integrals and the predicted fault voltage minimums of all the repeated historical fault events by adopting a gray prediction algorithm to obtain repeated predicted fault current integrals and repeated predicted fault voltage minimums;
Predicting a non-repeated historical fault event to obtain a predicted fault current integral and a predicted fault voltage minimum value;
step S3, acquiring a plurality of historical test data, wherein each historical test data respectively comprises a dielectric loss, a partial discharge capacity and an insulation resistance, the dielectric loss is an index reflecting the aging condition of the cable, the partial discharge capacity is an index reflecting the severity of the defect of the cable, a dielectric loss mutation value, a dielectric loss average value, a partial discharge increment and a partial discharge total amount are determined according to all the historical test data, the partial discharge increment is the difference value of adjacent partial discharge capacity in all the partial discharge capacities, and the partial discharge total amount is the sum of all the partial discharge capacities;
step S4, according to at least one of the following: determining a plurality of cable state results, wherein each cable state is normal or abnormal, the non-repeated historical predicted value comprises predicted fault current integral and predicted fault voltage minimum values of all non-repeated historical fault events, the repeated historical predicted value comprises predicted fault current integral and predicted fault voltage minimum values of all repeated historical fault events, and the target insulation resistance is one of all insulation resistances;
Step S5: and in the case that at least one cable state result is abnormal, determining that the final cable state result is abnormal.
Fig. 3 illustrates the steps of how the final cable status result is determined based on a plurality of cable status results:
step S1: determining that the first cable state result is abnormal when the predicted fault current integral of the non-repeated historical fault event is greater than or equal to a current integral threshold and/or the predicted fault voltage minimum of the non-repeated historical fault event is greater than or equal to a voltage minimum threshold; under the condition that the predicted fault current integral of the non-repeated historical fault event is smaller than a current integral threshold value and the predicted fault voltage minimum value of the non-repeated historical fault event is smaller than a voltage minimum value threshold value, determining that the first cable state result is normal;
determining that the second cable state result is abnormal if the predicted fault current integral of the repeated historical fault event is greater than or equal to a current integral threshold and/or if the predicted fault voltage minimum of the repeated historical fault event is greater than or equal to a voltage minimum threshold; determining that the second cable state result is normal under the condition that the predicted fault current integral of the repeated historical fault event is smaller than the current integral threshold and the predicted fault voltage minimum of the repeated historical fault event is smaller than the voltage minimum threshold;
Under the condition that the dielectric loss mutation value is larger than or equal to the mutation value threshold value, determining that the third cable state result is abnormal; under the condition that the dielectric loss mutation value is smaller than the mutation value threshold value, determining that the third cable state result is normal;
determining that the fourth cable state result is abnormal under the condition that the dielectric loss average value is greater than or equal to the average value threshold value; under the condition that the average value of the dielectric loss is smaller than the average value threshold value, determining that the fourth cable state result is normal;
under the condition that the local amplification increment is greater than or equal to an increment threshold, determining that a fifth cable state result is abnormal; under the condition that the partial discharge increment is smaller than the increment threshold value, determining that the fifth cable state result is normal;
under the condition that the total partial discharge amount is larger than or equal to a total partial discharge amount threshold value, determining that a sixth cable state result is abnormal; under the condition that the total partial discharge amount is smaller than the total partial discharge amount threshold value, determining that the sixth cable state result is normal;
determining that the seventh cable state result is abnormal under the condition that the target insulation resistance is greater than or equal to the resistance threshold value; under the condition that the target insulation resistance is smaller than the resistance threshold value, determining that the seventh cable state result is normal;
Step S2: and in the case that at least one cable state result is abnormal, determining that the final cable state result is abnormal.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
The embodiment of the application also provides a device for determining the cable state based on the historical fault event, and the device for determining the cable state based on the historical fault event can be used for executing the method for determining the cable state based on the historical fault event. The device is used for realizing the above embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The following describes a cable state determining device based on a historical fault event provided by an embodiment of the present application.
Fig. 4 is a block diagram of a cable status determination device based on historical fault events according to an embodiment of the present application. As shown in fig. 4, the apparatus includes:
a first obtaining unit 41, configured to obtain a plurality of historical fault events, and perform fault cause repeatability identification processing on all the historical fault events based on a DBSCAN clustering algorithm, so as to obtain a plurality of repeated historical fault events and a plurality of non-repeated historical fault events, where the repeated historical fault events are the historical fault events with repeated fault causes in all the historical fault events, and the non-repeated historical fault events are the historical fault events except for the repeated historical fault events in all the historical fault events;
a processing unit 42, configured to predict all the historical fault events to obtain a plurality of predicted fault current integrals and a plurality of predicted fault voltage minima, and predict all the predicted fault current integrals and the predicted fault voltage minima of the repeated historical fault events by using a gray prediction algorithm to obtain repeated predicted fault current integrals and repeated predicted fault voltage minima;
A second obtaining unit 43, configured to obtain a plurality of historical test data, where each of the historical test data includes a dielectric loss, a partial discharge amount, and an insulation resistance, the dielectric loss is an index reflecting an aging condition of a cable, the partial discharge amount is an index reflecting a severity of a defect of the cable, and determine a dielectric loss mutation value, a dielectric loss average value, a partial discharge increment, and a partial discharge total amount according to all of the historical test data, the partial discharge increment is a difference value between adjacent partial discharge amounts among all of the partial discharge amounts, and the partial discharge total amount is a sum of all of the partial discharge amounts;
a first determining unit 44 for determining the first value according to at least one of: determining a plurality of cable status results, each of which is normal or abnormal, a non-repeating history prediction value including the predicted fault current integral and the predicted fault voltage minimum value for all the non-repeating history fault events, a repeating history prediction value including the predicted fault current integral and the predicted fault voltage minimum value for all the repeating history fault events, the partial discharge increment, the partial discharge total amount, and the target insulation resistance;
A second determining unit 45 for determining that the final cable status result is abnormal in the case that at least one of the above cable status results is abnormal.
In the device, the repeated historical fault events are predicted uniformly according to the gray prediction method by considering the problem of the repeatability of the fault reasons, the accuracy of the cable state evaluation is improved by finally considering multiple factors, and the aging degree of the cable can be embodied by considering the dielectric loss mutation value, the dielectric loss average value, the partial discharge increment and the total partial discharge amount, so that the accuracy of the cable state evaluation is further improved, and the problem of lower evaluation accuracy caused by the fact that the repeated early faults are ignored in the conventional scheme is solved.
In one embodiment of the present application, the plurality of cable state results includes a first cable state result, and the first determining unit includes a first determining module and a second determining module, where the first determining module is configured to determine that the first cable state result is abnormal if the predicted fault current integral of the non-repeated historical fault event is greater than or equal to a current integral threshold and/or if the predicted fault voltage minimum of the non-repeated historical fault event is greater than or equal to a voltage minimum threshold; the second determining module is configured to determine that the first cable status result is normal when the predicted fault current integral of the non-repeated historical fault event is less than the current integral threshold and the predicted fault voltage minimum of the non-repeated historical fault event is less than the voltage minimum threshold.
In one embodiment of the present application, the plurality of cable state results includes a second cable state result, and the first determining unit includes a third determining module and a fourth determining module, where the third determining module is configured to determine that the second cable state result is abnormal if the predicted fault current integral of the repeated history fault event is greater than or equal to a current integral threshold and/or if the predicted fault voltage minimum of the repeated history fault event is greater than or equal to a voltage minimum threshold; the fourth determining module is configured to determine that the second cable status result is normal when the predicted fault current integral of the repeated historical fault event is less than the current integral threshold and the predicted fault voltage minimum of the repeated historical fault event is less than the voltage minimum threshold.
In one embodiment of the present application, the plurality of cable status results includes a third cable status result, and the first determining unit includes a fifth determining module and a sixth determining module, where the fifth determining module is configured to determine that the third cable status result is abnormal if the dielectric loss mutation value is greater than or equal to a mutation value threshold; and the sixth determining module is used for determining that the third cable state result is normal under the condition that the dielectric loss mutation value is smaller than the mutation value threshold value.
In one embodiment of the present application, the plurality of cable state results includes a fourth cable state result, and the first determining unit includes a seventh determining module and an eighth determining module, where the seventh determining module is configured to determine that the fourth cable state result is abnormal if the average value of the dielectric losses is greater than or equal to an average value threshold; the eighth determining module is configured to determine that the fourth cable status result is normal if the dielectric loss average value is smaller than the average value threshold value.
In one embodiment of the present application, the plurality of cable status results includes a fifth cable status result, and the first determining unit includes a ninth determining module and a tenth determining module, where the ninth determining module is configured to determine that the fifth cable status result is abnormal if the local amplification increment is greater than or equal to an increment threshold; the tenth determining module is configured to determine that the fifth cable status result is normal if the local discharge increment is less than the increment threshold.
In one embodiment of the present application, the plurality of cable state results includes a sixth cable state result, and the first determining unit includes an eleventh determining module and a twelfth determining module, where the eleventh determining module is configured to determine that the sixth cable state result is abnormal if the total partial discharge is greater than or equal to a total partial discharge threshold; and the twelfth determining module is used for determining that the sixth cable state result is normal under the condition that the total partial discharge amount is smaller than the total partial discharge amount threshold value.
In one embodiment of the present application, the plurality of cable state results includes a seventh cable state result, and the first determining unit includes a thirteenth determining module and a fourteenth determining module, where the thirteenth determining module is configured to determine that the seventh cable state result is abnormal if the target insulation resistance is greater than or equal to a resistance threshold; the fourteenth determination module is configured to determine that the seventh cable status result is normal, if the target insulation resistance is smaller than the resistance threshold.
The device for determining the cable state based on the historical fault event comprises a processor and a memory, wherein the first acquisition unit, the processing unit, the second acquisition unit, the first determination unit, the second determination unit and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions. The modules are all located in the same processor; alternatively, the above modules may be located in different processors in any combination.
The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be provided with one or more than one kernel, and the problem of low evaluation accuracy caused by the fact that the existing scheme ignores repeated early faults is solved by adjusting kernel parameters.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.
The embodiment of the invention provides a computer readable storage medium, which comprises a stored program, wherein the program is used for controlling equipment where the computer readable storage medium is located to execute the cable state determining method based on the historical fault event.
The embodiment of the invention provides a processor, which is used for running a program, wherein the program runs to execute the cable state determining method based on the historical fault event.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the processor realizes at least the following steps when executing the program: obtaining a plurality of historical fault events, and carrying out repeated identification processing on fault reasons of all the historical fault events based on a DBSCAN clustering algorithm to obtain a plurality of repeated historical fault events and a plurality of non-repeated historical fault events, wherein the repeated historical fault events are the historical fault events with repeated fault reasons in all the historical fault events, and the non-repeated historical fault events are the historical fault events except the repeated historical fault events in all the historical fault events; predicting all the historical fault events to obtain a plurality of predicted fault current integrals and a plurality of predicted fault voltage minimums, and predicting the predicted fault current integrals and the predicted fault voltage minimums of all the repeated historical fault events by adopting a gray prediction algorithm to obtain repeated predicted fault current integrals and repeated predicted fault voltage minimums; acquiring a plurality of historical test data, wherein each historical test data comprises a dielectric loss, a partial discharge capacity and an insulation resistance, the dielectric loss is an index reflecting the aging condition of a cable, the partial discharge capacity is an index reflecting the severity of the defect of the cable, a dielectric loss mutation value, a dielectric loss average value, a partial discharge increment and a partial discharge total amount are determined according to all the historical test data, the partial discharge increment is the difference value of adjacent partial discharge capacities in all the partial discharge capacities, and the partial discharge total amount is the sum of all the partial discharge capacities; according to at least one of the following: determining a plurality of cable status results, each of which is normal or abnormal, a non-repeating history prediction value including the predicted fault current integral and the predicted fault voltage minimum value for all the non-repeating history fault events, a repeating history prediction value including the predicted fault current integral and the predicted fault voltage minimum value for all the repeating history fault events, the partial discharge increment, the partial discharge total amount, and the target insulation resistance; and in the case that at least one cable state result is abnormal, determining that the final cable state result is abnormal. The device herein may be a server, PC, PAD, cell phone, etc.
The application also provides a computer program product adapted to perform, when executed on a data processing device, a program initialized with at least the following method steps: obtaining a plurality of historical fault events, and carrying out repeated identification processing on fault reasons of all the historical fault events based on a DBSCAN clustering algorithm to obtain a plurality of repeated historical fault events and a plurality of non-repeated historical fault events, wherein the repeated historical fault events are the historical fault events with repeated fault reasons in all the historical fault events, and the non-repeated historical fault events are the historical fault events except the repeated historical fault events in all the historical fault events; predicting all the historical fault events to obtain a plurality of predicted fault current integrals and a plurality of predicted fault voltage minimums, and predicting the predicted fault current integrals and the predicted fault voltage minimums of all the repeated historical fault events by adopting a gray prediction algorithm to obtain repeated predicted fault current integrals and repeated predicted fault voltage minimums; acquiring a plurality of historical test data, wherein each historical test data comprises a dielectric loss, a partial discharge capacity and an insulation resistance, the dielectric loss is an index reflecting the aging condition of a cable, the partial discharge capacity is an index reflecting the severity of the defect of the cable, a dielectric loss mutation value, a dielectric loss average value, a partial discharge increment and a partial discharge total amount are determined according to all the historical test data, the partial discharge increment is the difference value of adjacent partial discharge capacities in all the partial discharge capacities, and the partial discharge total amount is the sum of all the partial discharge capacities; according to at least one of the following: determining a plurality of cable status results, each of which is normal or abnormal, a non-repeating history prediction value including the predicted fault current integral and the predicted fault voltage minimum value for all the non-repeating history fault events, a repeating history prediction value including the predicted fault current integral and the predicted fault voltage minimum value for all the repeating history fault events, the partial discharge increment, the partial discharge total amount, and the target insulation resistance; and in the case that at least one cable state result is abnormal, determining that the final cable state result is abnormal.
The application also provides an electronic device comprising one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising a method for performing any of the above-described methods of determining cable status based on historical failure events. The repeated historical fault events are predicted uniformly according to a gray prediction method by considering the problem of the repeatability of the fault reasons, and finally the accuracy of the cable state evaluation is improved by considering multiple factors, and the aging degree of the cable can be embodied by considering the dielectric loss mutation value, the dielectric loss average value, the partial discharge increment and the total partial discharge amount, so that the accuracy of the cable state evaluation is further improved, and the problem of lower evaluation accuracy caused by the fact that the repeated early faults are ignored in the conventional scheme is solved.
It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps of them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:
1) According to the cable state determining method based on the historical fault event, the repeated historical fault event is predicted uniformly according to the gray prediction method by considering the problem of the repeatability of the fault cause, the accuracy of cable state assessment is improved by considering multiple elements, and the aging degree of the cable can be embodied by considering the dielectric loss mutation value, the dielectric loss average value, the partial discharge increment and the total partial discharge amount, so that the accuracy of cable state assessment is further improved, and the problem of low assessment accuracy caused by the fact that the repeated early faults are ignored in the existing scheme is solved.
2) According to the cable state determining device based on the historical fault event, the repeated historical fault event is predicted uniformly according to the gray prediction method by considering the problem of the repeatability of the fault cause, the accuracy of cable state assessment is improved by considering multiple elements, and the aging degree of the cable can be embodied by considering the dielectric loss mutation value, the dielectric loss average value, the partial discharge increment and the total partial discharge amount, so that the accuracy of cable state assessment is further improved, and the problem of low assessment accuracy caused by the fact that the repeated early faults are ignored in the existing scheme is solved.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. A method for determining a cable status based on a historical fault event, comprising:
acquiring a plurality of historical fault events, and carrying out repeated identification processing on fault reasons of all the historical fault events based on a DBSCAN clustering algorithm to obtain a plurality of repeated historical fault events and a plurality of non-repeated historical fault events, wherein the repeated historical fault events are the historical fault events with repeated fault reasons in all the historical fault events, and the non-repeated historical fault events are the historical fault events except for the repeated historical fault events in all the historical fault events;
predicting all the historical fault events to obtain a plurality of predicted fault current integrals and a plurality of predicted fault voltage minimums, and predicting the predicted fault current integrals and the predicted fault voltage minimums of all the repeated historical fault events by adopting a gray prediction algorithm to obtain repeated predicted fault current integrals and repeated predicted fault voltage minimums;
Acquiring a plurality of historical test data, wherein each historical test data respectively comprises a dielectric loss, a partial discharge capacity and an insulation resistance, the dielectric loss is an index reflecting the aging condition of a cable, the partial discharge capacity is an index reflecting the severity of the defect of the cable, and a dielectric loss mutation value, a dielectric loss average value, a partial discharge increment and a partial discharge total amount are determined according to all the historical test data, wherein the partial discharge increment is the difference value of adjacent partial discharge capacities in all the partial discharge capacities, and the partial discharge total amount is the sum of all the partial discharge capacities;
according to at least one of the following: determining a plurality of cable state results, wherein each cable state is normal or abnormal, a non-repeated historical predicted value, a repeated historical predicted value, the dielectric loss abrupt change value, the dielectric loss average value, the partial discharge increment, the partial discharge total amount and a target insulation resistance, wherein the non-repeated historical predicted value comprises all the predicted fault current integrals and the predicted fault voltage minimum values of the non-repeated historical fault events, the repeated historical predicted value comprises all the predicted fault current integrals and the predicted fault voltage minimum values of the repeated historical fault events, and the target insulation resistance is one of all the insulation resistances;
And in the case that at least one cable state result is abnormal, determining that the final cable state result is abnormal.
2. The method of claim 1, wherein the plurality of cable state results includes a first cable state result, the determining the first cable state result based on a non-repeating historical prediction value comprising:
determining that the first cable status result is abnormal if the predicted fault current integral of the non-recurring historical fault event is greater than or equal to a current integral threshold and/or if the predicted fault voltage minimum of the non-recurring historical fault event is greater than or equal to a voltage minimum threshold;
and determining that the first cable state result is normal if the predicted fault current integral of the non-repeated historical fault event is less than the current integral threshold and the predicted fault voltage minimum of the non-repeated historical fault event is less than the voltage minimum threshold.
3. The method of claim 1, wherein the plurality of cable state results includes a second cable state result, the determining the second cable state result based on the repetition history prediction value comprising:
Determining that the second cable state result is abnormal if the predicted fault current integral of the repeated historical fault event is greater than or equal to a current integral threshold and/or if the predicted fault voltage minimum of the repeated historical fault event is greater than or equal to a voltage minimum threshold;
and determining that the second cable state result is normal if the predicted fault current integral of the repeated historical fault event is less than the current integral threshold and the predicted fault voltage minimum of the repeated historical fault event is less than the voltage minimum threshold.
4. The method of claim 1, wherein the plurality of cable state results includes a third cable state result, the determining the third cable state result based on the dielectric loss mutation value comprising:
determining that the third cable state result is abnormal under the condition that the dielectric loss mutation value is larger than or equal to a mutation value threshold value;
and under the condition that the dielectric loss mutation value is smaller than the mutation value threshold value, determining that the third cable state result is normal.
5. The method of claim 1, wherein the plurality of cable state results includes a fourth cable state result, the determining the fourth cable state result based on the dielectric loss average comprising:
Determining that the fourth cable state result is abnormal when the dielectric loss average value is greater than or equal to an average value threshold value;
and determining that the fourth cable state result is normal under the condition that the dielectric loss average value is smaller than the average value threshold value.
6. The method of claim 1, wherein the plurality of cable state results includes a fifth cable state result, the determining the fifth cable state result based on the partial discharge delta comprising:
under the condition that the local amplification increment is greater than or equal to an increment threshold, determining that the fifth cable state result is abnormal;
and under the condition that the partial discharge increment is smaller than the increment threshold, determining that the fifth cable state result is normal.
7. The method of claim 1, wherein the plurality of cable state results includes a sixth cable state result, the determining the sixth cable state result based on the total partial discharge comprising:
determining that the sixth cable state result is abnormal under the condition that the total partial discharge amount is greater than or equal to a total partial discharge amount threshold value;
and under the condition that the total partial discharge amount is smaller than the total partial discharge amount threshold value, determining that the sixth cable state result is normal.
8. The method of claim 1, wherein the plurality of cable state results includes a seventh cable state result, the determining the seventh cable state result based on a target insulation resistance comprising:
determining that the seventh cable state result is abnormal if the target insulation resistance is greater than or equal to a resistance threshold;
and determining that the seventh cable state result is normal in the case that the target insulation resistance is smaller than the resistance threshold.
9. A cable status determining apparatus based on historical fault events, comprising:
the first acquisition unit is used for acquiring a plurality of historical fault events, carrying out repeated fault cause identification processing on all the historical fault events based on a DBSCAN clustering algorithm to obtain a plurality of repeated historical fault events and a plurality of non-repeated historical fault events, wherein the repeated historical fault events are the historical fault events with repeated fault causes in all the historical fault events, and the non-repeated historical fault events are the historical fault events except for the repeated historical fault events in all the historical fault events;
The processing unit is used for predicting all the historical fault events to obtain a plurality of predicted fault current integrals and a plurality of predicted fault voltage minima, and predicting all the predicted fault current integrals and the predicted fault voltage minima of the repeated historical fault events by adopting a gray prediction algorithm to obtain repeated predicted fault current integrals and repeated predicted fault voltage minima;
a second obtaining unit, configured to obtain a plurality of historical test data, where each historical test data includes a dielectric loss, a partial discharge capacity, and an insulation resistance, where the dielectric loss is an index reflecting an aging condition of a cable, the partial discharge capacity is an index reflecting a severity of a defect of the cable, and determine, according to all the historical test data, a dielectric loss mutation value, a dielectric loss average value, a partial discharge increment, and a partial discharge total amount, where the partial discharge increment is a difference value between adjacent partial discharge capacities in all the partial discharge capacities, and the partial discharge total amount is a sum of all the partial discharge capacities;
a first determining unit for determining the first value according to at least one of: determining a plurality of cable state results, wherein each cable state is normal or abnormal, a non-repeated historical predicted value, a repeated historical predicted value, the dielectric loss abrupt change value, the dielectric loss average value, the partial discharge increment, the partial discharge total amount and a target insulation resistance, wherein the non-repeated historical predicted value comprises all the predicted fault current integrals and the predicted fault voltage minimum values of the non-repeated historical fault events, the repeated historical predicted value comprises all the predicted fault current integrals and the predicted fault voltage minimum values of the repeated historical fault events, and the target insulation resistance is one of all the insulation resistances;
And the second determining unit is used for determining that the final cable state result is abnormal under the condition that at least one cable state result is abnormal.
10. An electronic device, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising a method for performing the historical failure event-based cable state determination method of any of claims 1-8.
CN202310943987.XA 2023-07-28 2023-07-28 Cable state determining method and device based on historical fault event Pending CN116804695A (en)

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