CN114236306A - Distribution line interval insulation degradation degree evaluation method and system based on distribution main station - Google Patents
Distribution line interval insulation degradation degree evaluation method and system based on distribution main station Download PDFInfo
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Abstract
The invention discloses a distribution line interval insulation degradation degree evaluation method and system based on a distribution main station, which comprises the steps of obtaining a distribution line to be analyzed; determining one or more intervals to be analyzed according to the area surrounded by all automatic equipment under the distribution line; acquiring historical fault data and real-time data of each interval, wherein the historical data and the real-time data comprise indexes related to occurrence of ground faults; determining an insulation degradation factor of each interval according to historical fault data and real-time data based on a preset insulation degradation evaluation model; and evaluating the section insulation degradation degree of the distribution line according to the insulation degradation factor. The method can effectively analyze the insulation degradation condition of each section of the distribution line, thereby realizing monitoring and positioning in a fine range of the insulation degradation degree of each section of the distribution line.
Description
Technical Field
The invention relates to the technical field of distribution automation, in particular to a distribution line interval insulation degradation degree evaluation method and system based on a distribution main station.
Background
With the development of economy and construction in China, the grid structure of the power distribution network is gradually changed and optimized. However, the medium-voltage distribution network in China mainly uses overhead lines, and a neutral point ungrounded system or a neutral point arc suppression coil grounded system has the most quantity, the highest proportion and the widest distribution in the existing distribution network in China, namely a low-current grounded system. In the low-current grounding system, the single-phase grounding fault is the most frequent fault in the power distribution network, and accounts for about 75-80% of the total fault of the whole power distribution network. And the single-phase earth fault is likely to cause secondary faults, form interphase short-circuit faults and the like. Therefore, focusing on single-phase earth faults, analyzing and researching the occurrence of the single-phase earth faults are important means for improving the reliability and continuity of power supply of the power distribution network.
For single-phase earth faults of a power distribution network, fault diagnosis at the moment of occurrence of the earth fault is still mainly used at the present stage, namely, the faults can be analyzed in time when the faults occur, rapid fault line selection and fault interval determination are realized, but for research before the occurrence of the single-phase earth fault, a particularly effective scheme does not exist at home at present, and the single-phase earth fault is still in a multi-party exploration stage. The insulation degradation evaluation of the power distribution network can reflect the insulation change trend before the single-phase earth fault occurs to a certain extent, and the state early warning before the single-phase earth fault accident occurs is achieved through trend analysis, so that the insulation defect of the power equipment can be timely found and maintained, the occurrence of permanent insulation breakdown is avoided, and the occurrence probability and the frequency of the single-phase earth fault are reduced.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a distribution line section insulation degradation degree evaluation method and system based on a distribution main station, which can carry out comprehensive evaluation by taking each section of a distribution line as a unit and effectively analyze the insulation degradation condition of each section.
According to a first aspect, the method for evaluating the insulation degradation degree of the distribution line section based on the distribution main station comprises the following steps:
obtaining a distribution line to be analyzed;
determining one or more intervals to be analyzed according to the area surrounded by all the automatic equipment under the distribution line;
acquiring historical fault data and real-time data of each interval, wherein the historical data and the real-time data comprise indexes related to occurrence of ground faults;
determining an insulation degradation factor of each interval according to the historical fault data and the real-time data based on a preset insulation degradation evaluation model;
and evaluating the section insulation degradation degree of the distribution line according to the insulation degradation factor.
The distribution line interval insulation degradation degree evaluation method based on the distribution main station provided by the embodiment of the invention at least has the following beneficial effects:
the method comprises the steps of taking an area surrounded by all automatic equipment under the distribution line as an interval unit, analyzing the insulation degradation degree of the distribution line to obtain insulation degradation factors of all intervals in the distribution line, evaluating the insulation degradation degree according to the insulation degradation factors, effectively analyzing the insulation degradation condition of each interval, and accordingly monitoring the insulation degradation degree of each interval of the distribution line and positioning the insulation degradation degree in a fine range.
According to some embodiments of the invention, the historical fault data comprises first statistical data characterizing statistical data of different types of features associated with the ground fault, second statistical data characterizing statistical data of transient faults occurring in different time periods, and third statistical data characterizing statistical data between two transient faults.
According to some embodiments of the invention, the historical fault data includes a number of ground characteristic weak fault signals, a number of over-voltages, a number of instantaneous fault occurrences within three months, a number of instantaneous fault occurrences within one day, a number of instantaneous fault occurrences within two hours, a time interval between two instantaneous faults, and a duration of a most recent instantaneous fault.
According to some embodiments of the invention, the real-time data comprises a current earth resistance value and a zero sequence voltage effective value.
According to some embodiments of the present invention, the determining an insulation degradation factor of each of the sections according to the historical fault data and the real-time data based on a preset insulation degradation evaluation model includes:
constructing a standardized matrix according to the historical fault data and the real-time data;
based on an entropy weight method, determining an entropy weight matrix according to the standardized matrix;
and determining the insulation degradation factor of each interval according to the normalization matrix and the entropy weight matrix.
According to some embodiments of the present invention, the evaluating the section insulation degradation degree of the distribution line according to the insulation degradation factor includes:
and determining the section insulation degradation level of the distribution line according to the insulation degradation factor and different degradation level thresholds.
According to some embodiments of the present invention, the evaluating the section insulation degradation degree of the distribution line according to the insulation degradation factor further includes:
and executing at least one of evaluation display and maintenance alarm according to the evaluation result of the section insulation degradation degree of the distribution line.
In a second aspect, the system for evaluating the insulation degradation degree of the distribution line section based on the distribution main station according to the embodiment of the invention comprises:
the line input module is used for acquiring a distribution line to be analyzed;
the interval determining module is used for determining one or more intervals to be analyzed according to the area surrounded by all the automatic equipment under the distribution line;
the data acquisition module is used for acquiring historical fault data and real-time data of each interval, wherein the historical data and the real-time data comprise indexes related to occurrence of ground faults;
the data calculation module is used for determining an insulation degradation factor of each interval according to the historical fault data and the real-time data based on a preset insulation degradation evaluation model;
and the degradation evaluation module is used for evaluating the section insulation degradation degree of the distribution line according to the insulation degradation factor.
In a third aspect, the electronic device according to the embodiment of the present invention includes a processor, and the processor is configured to execute the above-mentioned method steps for evaluating the insulation degradation degree of the distribution line section based on the distribution main station.
In a fourth aspect, according to the computer-readable storage medium of the embodiment of the present invention, the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to realize the above-mentioned evaluation method for insulation degradation degree of distribution line section based on a distribution main station.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart illustrating a method for evaluating insulation deterioration degree of distribution line sections based on a distribution main station according to an embodiment of the present invention;
FIG. 2 is a second flowchart illustrating the steps of the method for evaluating the insulation degradation degree of the distribution line section based on the distribution main station according to the embodiment of the present invention;
fig. 3 is a schematic block diagram of an evaluation system of insulation degradation degree of distribution line sections based on a distribution main station according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, "a plurality" means one or more, "a plurality" means two or more, and greater than, less than, more than, etc. are understood as excluding the present number, and "greater than", "lower than", "inner", etc. are understood as including the present number. If the description of "first", "second", etc. is used for the purpose of distinguishing technical features, it is not intended to indicate or imply relative importance or to implicitly indicate the number of indicated technical features or to implicitly indicate the precedence of the indicated technical features.
In the description of the present invention, unless otherwise explicitly limited, terms such as "disposed," "mounted," "connected," and the like are to be understood in a broad sense, and those skilled in the art can reasonably determine the specific meaning of the terms in the present invention by combining the specific contents of the technical solutions.
Example 1
Referring to fig. 1, the present embodiment discloses a distribution line section insulation degradation degree evaluation method based on a distribution main station, which includes steps S100 to S500. Before discussing the evaluation method in detail, it should be understood that the Distribution Master Station, that is, a Master Station System of Distribution Automation (Master Station System of Distribution Automation), is a core part of the Distribution Automation System, and is mainly used for implementing basic functions such as data acquisition and monitoring of the Distribution network and extended functions such as power network topology analysis application, and has a function of information interaction with other application information systems, so as to provide technical support for Distribution network scheduling command and production management. The Distribution Terminal is a general name of various Remote monitoring and control units installed on a medium-voltage Distribution network, and mainly comprises a Distribution switch monitoring Terminal (namely FTU (feeder Terminal)), a Distribution transformer monitoring Terminal (namely TTU (time to live) Distribution transformer Terminal), a switching station, a monitoring Terminal of a public and customer Distribution station (namely DTU (Terminal at station), and the like. The Distribution terminal is an automation device installed under a Distribution line, and can communicate with a Distribution main station, and the Distribution line (Distribution Circuit) is a line that transmits power from a step-down substation to a Distribution transformer or transmits power from a Distribution substation to a power consumption unit. Each step is discussed in detail below.
And S100, obtaining a distribution line to be analyzed.
Referring to fig. 2, in the present embodiment, the distribution lines are obtained by pushing from the master station side of the distribution master station, for example, in the daily operation process, the master station side sorts a plurality of distribution lines according to time sequence, and when a certain 10KV distribution line needs to be analyzed for insulation degradation, the distribution line ID of the 10KV distribution line is pushed, so as to obtain the distribution line to be analyzed. Of course, the user can input the distribution line ID according to actual requirements, thereby obtaining the distribution line to be analyzed. After the distribution line with analysis is acquired, the distribution line to be analyzed may be confirmed, and if the distribution line to be analyzed is an automated line, step S200 may be executed.
S200, determining one or more intervals to be analyzed according to the area surrounded by all the automation equipment under the distribution line.
In a power distribution network, a typical grid structure mainly includes a radial overhead network, a "hand-in-hand" ring overhead network, a multi-segment multi-connection network, and the like. Taking a radial overhead network as an example, the radial overhead network is composed of a plurality of non-connected radial overhead feeders, and each radial overhead feeder is a feeder which takes a 10KV outgoing switch of a main transformer station as a power supply point and is arranged in a tree shape. The radial overhead feeder can also be divided into a plurality of feeder sections by adopting section switches, each section switch is provided with a corresponding feeder terminal (automatic equipment), two adjacent feeder terminals divide the distribution line into an independent area, the area is an interval, and the like, and a plurality of section switches on the distribution line can divide the distribution line into a plurality of intervals. It is contemplated that other switchgear, such as tie switches, may be provided for distribution lines of other configurations (e.g., multi-segment multi-tie), and that automation equipment installed on adjacent switchgear may also separate distribution lines into compartments.
S300, acquiring historical fault data and real-time data of each interval, wherein the historical data and the real-time data comprise indexes related to occurrence of the ground fault.
In a low-current grounding system of a power distribution network, the single-phase grounding fault occurs most frequently. When a single-phase earth fault occurs, the small-current grounding system mainly has the following characteristics: for line voltage, the interphase voltage is still symmetrical, and has no influence on users; for the phase voltages, the voltage of the failed phase decreases, the voltage of the non-failed phase increases, and when the single-phase metal is grounded, the voltage of the failed phase becomes zero, and the voltage of the non-failed phase increases to the line voltage value (overvoltage). In this way, when the insulation degradation degree is evaluated, effective parameters can be selected for analysis according to the characteristics of the single-phase ground fault, for example, the historical fault data of the embodiment includes first statistical data, the first statistical data is used for representing statistical data of different types of characteristics related to the ground fault, and specifically, the first statistical data includes the times of weak fault signals and the times of overvoltage of the ground characteristic. In order to further improve the accuracy of insulation degradation evaluation, the historical fault data of the embodiment further includes second statistical data and third statistical data, the second statistical data is used for representing statistical data of transient faults occurring in different time periods, the third statistical data is used for representing statistical data between two transient faults, specifically, the second statistical data includes the number of transient faults occurring in three months, the number of transient faults occurring in one day, and the number of transient faults occurring in two hours, and the third statistical data includes a time interval between two transient faults and a duration of a most recent transient fault. In this embodiment, the second statistical data selects an index with a large time span as an analysis parameter, the index has obvious stage layering, the index range is wide enough, and the analysis accuracy is improved.
Unlike the ground fault diagnosis method, the evaluation method of the present embodiment is applied before the ground fault occurs, and thus, the real-time data for analysis may include static parameters and dynamic parameters. For example, the real-time data of the embodiment includes the current ground resistance value and the zero sequence voltage effective value, and the accuracy of analysis is facilitated by multi-parameter combination.
According to the characteristics of the single-phase earth fault, the historical fault data and the real-time data are combined and used as the analysis indexes, and the accuracy of subsequent analysis can be improved. In addition, according to the characteristics of the single-phase earth fault, the first statistical data, the second statistical data and the third statistical data are reasonably determined in a plurality of indexes, and effective analysis indexes are selected, so that the rationality and the accuracy of subsequent analysis are further improved.
S400, based on a preset insulation degradation evaluation model, determining an insulation degradation factor of each section according to historical fault data and real-time data.
The embodiment determines the insulation degradation factor according to the historical fault data and the real-time data, and can provide quantitative analysis basis for insulation degradation analysis, so that the abstract insulation degradation degree is quantitatively analyzed. The insulation degradation evaluation model is a comprehensive evaluation model based on a TOPSIS (technique for Order Preference by Similarity to an Ideal Solution distance) method and entropy weight correction, a basic model is constructed by using the TOPSIS method, and meanwhile, the entropy weight method is applied to objectively weight assignment of each index in the basic model, so that the data reliability problem of each index weight assignment of the TOPSIS method is corrected. Historical fault data and real-time data serving as input parameters of the insulation degradation evaluation model can be acquired in real time and dynamically updated, constants which are set depending on experience are removed from the input parameters, later-stage setting is facilitated, and objectivity and accuracy of analysis are improved.
Step S400 is discussed in detail below based on a construction process of the insulation degradation evaluation model, wherein step S400 includes steps S410 to S430.
The TOPSIS method is a common in-group comprehensive evaluation method, can fully utilize the information of original data, and the result can accurately reflect the difference between evaluation schemes.
The TOPSIS method measures the sample gap by using a distance scale, and the index attribute needs to be subjected to synclastic processing by using the distance scale, wherein the index types of the TOPSIS method comprise an ultra-large type and an ultra-small type, the ultra-large type means that the larger the expected index value is, the better the opposite is, and the ultra-small type means that the smaller the expected index value is, the better the index value is. Referring to table 1, according to the influence degree of different data on the occurrence of the ground fault, the present embodiment determines the index types of each parameter in the historical fault data and the real-time data.
TABLE 1
| Serial number | Insulation degradation evaluation model index | Type of index |
| 1 | Number of weak fault signals with ground characteristics | Very large scale |
| 2 | Number of overvoltages | Very large scale |
| 3 | Number of instantaneous failures within three months | Very large scale |
| 4 | Number of instantaneous failures within one day | Very large scale |
| 5 | Number of instantaneous failures within two hours | Very large scale |
| 6 | Time interval between two near instantaneous faults | Extremely small size |
| 7 | Last instantaneous fault duration | Very large scale |
| 8 | Current value of earth resistance | Extremely small size |
| 9 | Zero sequence voltage effective value | Very large scale |
And S410, constructing a standardized matrix according to the historical fault data and the real-time data.
As can be seen from table 1, the number of indexes of the insulation degradation evaluation model is 9, and if the distribution line has n (n ≧ 1) intervals, the index parameters (i.e., historical fault data and real-time data) of the n intervals may form the following determination matrix:
in the formula, each row represents 9 index parameters of each section under the distribution line.
When applying the TOPSIS method, it is usually necessary to forward the very small index into the very large index, and since each index in the matrix X is a positive number, the forward formula is:
in formula (II), x'nmThe element of the n-th row and the m-th element in the matrix X is normalized, the normalized matrix is recorded as X ', and the i-th row and the j-th element in the matrix X ' are recorded as X 'ij。
And carrying out standardization processing on the matrix X' to obtain a standardized matrix Z. The ith row and jth element in the normalized matrix Z are denoted as ZijThen, then
And S420, determining an entropy weight matrix according to the standardized matrix based on the entropy weight method.
Determining a probability matrix P according to the standardized matrix, wherein the element in P is Pij，
The probability matrix P
Determining the information entropy e of each index according to the probability matrix PjAnd an entropy weight E, wherein EjIs the information entropy of the jth index, then
E＝[e1 e2 … e9] (8)
Determining an information utility value d according to an information entropy matrixjAnd an information utility matrix D, then
dj＝1-ej (9)
D＝[d1 d2 … d9] (10)
Determining the entropy weight omega of each index according to the information utility matrix DjAnd an entropy weight matrix W, then
W＝[ω1 ω2 … ω9] (12)
And S430, determining the insulation degradation factor of each interval according to the standardized matrix and the entropy weight matrix.
Determining a maximum value matrix Z in the j index according to the normalized matrixmaxAnd minimum matrix ZminThen, then
Zmax＝[max{z11,z21,…,zn1} max{z12,z22,…,zn2} … max{z19,z29,…,zn9}]
Zmin＝[min{z11,z21,…,zn1} min{z12,z22,…,zn2} … min{z19,z29,…,zn9}]
In the formula, max is the maximum value operation, and min is the minimum value operation.
In the ith intervalMatrix of each element with the maximum value ZmaxMaximum value of
Distance between them
And determining a matrix Z of each element and the minimum value in the ith intervalminMinimum value of
The distance between
Using entropy weights ωjCorrection of
According to distance
And distance
Determining insulation degradation factor phi of ith intervali，
The insulation degradation factor matrix of each section of the distribution line is recorded as
In the insulation degradation factor matrix, as long as the insulation degradation factor phiiAnd if the interval is within the preset degradation range, determining the corresponding interval under the distribution line as an insulation degradation interval.
And S500, evaluating the section insulation degradation degree of the distribution line according to the insulation degradation factor.
The embodiment visually evaluates the abstract insulation degradation degree so that a user can intuitively know the insulation degradation degree. The visual evaluation includes displaying the insulation deterioration degree in the form of a numerical value, a table, a graph, or the like. Specifically, step S500 includes step S510,
and S510, determining the section insulation degradation level of the distribution line according to the insulation degradation factor and different degradation level thresholds.
For example, the insulation deterioration levels are classified into severe, general and mild levels, each level is provided with a corresponding threshold range, and the level corresponding to the section insulation deterioration degree of the distribution line can be determined according to the magnitude of the insulation deterioration factor, so that quantitative analysis can be performed.
Step S500 further comprises a step S520,
and S520, executing at least one of evaluation display and maintenance alarm according to the evaluation result of the section insulation degradation degree of the distribution line.
According to the evaluation result, the interval that has insulation degradation can be shown through the mode of reporting an emergency and asking for help or increased vigilance in combination with distribution automation system, with the insulation degradation degree datamation and the visualization of abstracting to be convenient for maintenance personal fixes a position the interval that needs to overhaul fast, improves work efficiency. The interval with higher insulation degradation degree can be overhauled and alarmed, so that active overhaul is carried out before the ground fault occurs, and the probability of single-phase ground fault and secondary ground fault caused by insulation degradation is reduced.
The embodiment provides a set of complete evaluation strategies for judging the insulation degradation degree of a certain 10KV line of a power distribution network, carries out setting on the index weight of original global data of the power distribution line by using entropy weight methods to obtain a weight relation matrix of each index parameter in the insulation degradation degree evaluation of the power distribution line through indexes related to ground fault occurrence such as the number of weak fault times of ground characteristics, the number of overvoltage times, the number of instantaneous fault occurrences within three months, the number of instantaneous fault occurrences within one day, the number of instantaneous fault occurrences within two hours, time intervals between two instantaneous faults and the duration time of the latest instantaneous fault, the current ground resistance value and the zero-sequence voltage effective value, and simultaneously carries out insulation degradation degree analysis on the power distribution line by using a TOPSIS method and taking the area surrounded by all automatic equipment under the power distribution line as an interval unit, the insulation degradation factors of all the sections in the distribution line are obtained, the insulation degradation degree is evaluated according to the insulation degradation factors, the insulation degradation condition of each section can be effectively analyzed, and therefore the insulation degradation degree of each section of the distribution line is monitored and positioned in a fine range. Finally, the insulation degradation of each interval of the distribution line is monitored, the process from abstraction to data visualization of the insulation degradation degree is converted, the insulation degradation interval is represented in an alarm mode, timely maintenance of the distribution line is facilitated, and therefore the operation safety of the distribution network is improved.
Example 2
Referring to fig. 3, an embodiment of the present invention discloses a distribution line interval insulation degradation degree evaluation system based on a distribution main station, which includes a line input module 100, an interval determination module 200, a data acquisition module 300, a data calculation module 400, and a degradation evaluation module 500:
the line input module 100 is used for acquiring a distribution line to be analyzed;
the interval determining module 200 is configured to determine one or more intervals to be analyzed according to an area surrounded by all automation devices under the distribution line;
the data acquisition module 300 is configured to acquire historical fault data and real-time data of each interval, where the historical data and the real-time data each include an index associated with occurrence of a ground fault;
the data calculation module 400 is configured to determine an insulation degradation factor of each interval according to historical fault data and real-time data based on a preset insulation degradation evaluation model;
the deterioration evaluation module 500 is used for evaluating the section insulation deterioration degree of the distribution line according to the insulation deterioration factor.
In the embodiment, the area surrounded by all automation equipment under the distribution line is used as an interval unit, the insulation degradation degree of the distribution line is analyzed to obtain the insulation degradation factors of all intervals in the distribution line, the insulation degradation degree is evaluated according to the insulation degradation factors, the insulation degradation condition of each interval can be effectively analyzed, and therefore the insulation degradation degree of each interval of the distribution line is monitored and positioned in a fine range. Finally, the insulation degradation of each interval of the distribution line is monitored, the process from abstraction to data visualization of the insulation degradation degree is converted, the insulation degradation interval is represented in an alarm mode, timely maintenance of the distribution line is facilitated, and therefore the operation safety of the distribution network is improved.
It should be noted that the system for evaluating the insulation degradation degree of the distribution line section based on the power distribution main station in this embodiment is based on a general model of the method for evaluating the insulation degradation degree of the distribution line section based on the power distribution main station in embodiment 1, and therefore, the content not referred to in this embodiment may refer to embodiment 1, and this embodiment is not described again.
Example 3
The embodiment of the invention discloses electronic equipment which comprises a processor, wherein the processor is used for executing the steps of the distribution line interval insulation degradation degree evaluation method based on a distribution main station.
It should be noted that, in this embodiment, reference may be made to embodiment 1 for details of the method for evaluating the insulation degradation degree of the distribution line section based on the distribution main station, and details of this embodiment are not repeated.
Example 4
The embodiment of the invention discloses a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the distribution line interval insulation degradation degree evaluation method based on a distribution main station are realized.
It should be noted that, in this embodiment, reference may be made to embodiment 1 for details of the method for evaluating the insulation degradation degree of the distribution line section based on the distribution main station, and details of this embodiment are not repeated.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (10)
1. A distribution line interval insulation degradation degree evaluation method based on a distribution main station is characterized by comprising the following steps:
obtaining a distribution line to be analyzed;
determining one or more intervals to be analyzed according to the area surrounded by all the automatic equipment under the distribution line;
acquiring historical fault data and real-time data of each interval, wherein the historical data and the real-time data comprise indexes related to occurrence of ground faults;
determining an insulation degradation factor of each interval according to the historical fault data and the real-time data based on a preset insulation degradation evaluation model;
and evaluating the section insulation degradation degree of the distribution line according to the insulation degradation factor.
2. The method for evaluating the insulation degradation degree of the distribution line section based on the power distribution main station as recited in claim 1, wherein the historical fault data comprises first statistical data, second statistical data and third statistical data, the first statistical data is used for representing statistical data of different types of fault occurrences caused by the ground fault, the second statistical data is used for representing statistical data of instantaneous fault occurrences in different time periods, and the third statistical data is used for representing statistical data between two instantaneous faults.
3. The method for evaluating the insulation degradation degree of the distribution line section based on the distribution main station according to claim 1 or 2, wherein the historical fault data comprises the number of times of grounding characteristic weak fault signals, the number of times of overvoltage, the number of times of instantaneous fault occurrence within three months, the number of instantaneous fault occurrence within one day, the number of instantaneous fault occurrence within two hours, the time interval between two instantaneous faults and the duration of the latest instantaneous fault.
4. The method of claim 1, wherein the real-time data comprises a current grounding resistance value and a zero sequence voltage effective value.
5. The method for evaluating the insulation degradation degree of the distribution line sections based on the distribution main station as claimed in claim 1, wherein the step of determining the insulation degradation factor of each section according to the historical fault data and the real-time data based on a preset insulation degradation evaluation model comprises the following steps:
constructing a standardized matrix according to the historical fault data and the real-time data;
based on an entropy weight method, determining an entropy weight matrix according to the standardized matrix;
and determining the insulation degradation factor of each interval according to the normalization matrix and the entropy weight matrix.
6. The method for evaluating the insulation degradation degree of the distribution line section based on the distribution main station according to claim 1, wherein the evaluating the insulation degradation degree of the distribution line section according to the insulation degradation factor comprises:
and determining the section insulation degradation level of the distribution line according to the insulation degradation factor and different degradation level thresholds.
7. The method for evaluating the insulation degradation degree of the distribution line section based on the distribution main station according to claim 1 or 6, wherein the evaluating the insulation degradation degree of the distribution line section according to the insulation degradation factor comprises:
and executing at least one of evaluation display and maintenance alarm according to the evaluation result of the section insulation degradation degree of the distribution line.
8. A distribution line interval insulation degradation degree evaluation system based on a distribution main station is characterized by comprising:
the line input module is used for acquiring a distribution line to be analyzed;
the interval determining module is used for determining one or more intervals to be analyzed according to the area surrounded by all the automatic equipment under the distribution line;
the data acquisition module is used for acquiring historical fault data and real-time data of each interval, wherein the historical data and the real-time data comprise indexes related to occurrence of ground faults;
the data calculation module is used for determining an insulation degradation factor of each interval according to the historical fault data and the real-time data based on a preset insulation degradation evaluation model;
and the degradation evaluation module is used for evaluating the section insulation degradation degree of the distribution line according to the insulation degradation factor.
9. An electronic device comprising a processor, wherein the processor is configured to execute the method steps of any one of claims 1 to 8 for evaluating the insulation degradation degree of the distribution line section based on the distribution main station.
10. A computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the method steps of any one of claims 1 to 8 for evaluating the degree of insulation degradation between distribution lines based on a distribution main station.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114801751A (en) * | 2022-06-21 | 2022-07-29 | 深圳市今朝时代股份有限公司 | Automobile battery fault prediction system based on data analysis |
| CN114801751B (en) * | 2022-06-21 | 2022-10-25 | 深圳市今朝时代股份有限公司 | Automobile battery fault prediction system based on data analysis |
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