CN113361607A - Medium-voltage distribution network line problem analysis method and device - Google Patents
Medium-voltage distribution network line problem analysis method and device Download PDFInfo
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Abstract
The application relates to the technical field of distribution network lines and discloses a method and a device for analyzing a problem of a medium-voltage distribution network line. According to the method, net rack basic data, equipment basic data, fault basic data and defect basic data of a medium-voltage distribution network line are obtained, and corresponding characteristic values are determined according to the basic data. And then determining the correlation between various characteristic problems of the net rack, the equipment and the defects and the line fault characteristic value according to the four groups of characteristic values, namely the net rack fault correlation, the equipment fault correlation and the defect fault correlation. And finally, obtaining a final analysis result of the medium-voltage distribution network line problem based on the correlation analysis. The method can save a large amount of human resources and systematically and effectively analyze the problems of the medium-voltage distribution network circuit.
Description
Technical Field
The application relates to the technical field of distribution network lines, in particular to a method and a device for analyzing a problem of a medium-voltage distribution network line.
Background
Medium voltage distribution network lines are restricted by various factors and can frequently fail, for example: the method has the advantages of expanded line power supply area, aging equipment, complex operating environment, more branch lines, longer power supply radius, less automatic switch distribution points, more hidden defects and the like. Therefore, in order to ensure the safe operation of the medium-voltage distribution network line, the problems occurring on the medium-voltage distribution network line need to be analyzed, and the subsequent operation and targeted modification of the line are facilitated. However, the net rack structure of the distribution network line is complex, the distribution network equipment is various in types and the hidden defect danger types are complicated, and the problem of the medium-voltage distribution network line cannot be effectively analyzed.
At present, hidden trouble troubleshooting is mainly carried out on medium-voltage distribution network lines through manpower, on-site operation and maintenance personnel are required to know the conditions of all line equipment, possible problems of the medium-voltage distribution network lines are analyzed, and hidden troubles are eliminated in time. However, this method consumes a lot of human resources, and cannot systematically and effectively analyze the problems of the medium-voltage distribution network.
Disclosure of Invention
The application discloses a method and a device for analyzing medium-voltage distribution network line problems, which are used for solving the technical problem that in the prior art, potential fault hazards of medium-voltage distribution network lines are eliminated through manpower, and when a large amount of manpower resources are consumed, scientific and effective analysis can not be systematically carried out on the medium-voltage distribution network line problems.
The application discloses in a first aspect a method for analyzing problems of a medium voltage distribution network line, comprising the following steps:
acquiring network frame basic data, equipment basic data, fault basic data and defect basic data of a medium-voltage distribution network line; the network frame basic data comprise insulation rate, cabling rate, line load rate, line length, looped network rate, rotatable power supply rate, line high and low voltage problems and line segmentation number, the equipment basic data comprise distribution transformation problems, automatic switch configuration problems, problem insulators, problem drop-out fuses and problem hardware fittings, the fault basic data comprise fault power failure time, fault times, fault main equipment and frequent fault equipment, and the fault basic data comprise a fault that the safety distance of a line tree is insufficient, an insulator and grounding defect and a main equipment defect;
determining a line net rack characteristic value according to the net rack basic data and a pre-acquired net rack basic data average value, determining a line equipment characteristic value according to the equipment basic data and a pre-acquired equipment basic data average value, determining a line fault characteristic value according to the fault basic data and a pre-acquired fault basic data average value, and determining a line defect characteristic value according to the fault basic data, the defect basic data and a pre-acquired defect basic data average value;
determining a rack fault correlation, an equipment fault correlation and a fault correlation according to the line rack characteristic value, the line equipment characteristic value, the line fault characteristic value and the line fault characteristic value, wherein the line fault correlation is the correlation between the line rack characteristic value and the line fault characteristic value, the equipment fault correlation is the correlation between the line equipment characteristic value and the line fault characteristic value, and the fault correlation is the correlation between the line fault characteristic value and the line fault characteristic value;
and determining an analysis result of the medium-voltage distribution network line problem according to the network frame fault correlation, the equipment fault correlation and the defect fault correlation.
Optionally, determining rack fault correlation, equipment fault correlation and fault correlation according to the line rack characteristic value, the line equipment characteristic value, the line fault characteristic value and the line fault characteristic value includes:
determining a net rack independent component vector according to the line net rack characteristic value, determining an equipment independent component vector according to the line equipment characteristic value, determining a fault independent component vector according to the line fault characteristic value, and determining a defect independent component vector according to the line defect characteristic value;
and determining the grid fault correlation, the equipment fault correlation and the defect fault correlation according to the grid independent component vector, the equipment independent component vector, the fault independent component vector and the defect independent component vector and by taking the fault independent component vector as a base vector.
Optionally, the determining an analysis result of the medium-voltage distribution network line problem according to the rack fault correlation, the equipment fault correlation, and the defect fault correlation includes:
and dividing the medium-voltage distribution network line problems according to preset severity levels according to the net rack fault correlation, the equipment fault correlation and the defect fault correlation, and determining an analysis result of the medium-voltage distribution network line problems.
Optionally, the severity level includes high, medium and low.
The second aspect of the present application discloses a medium voltage distribution network line problem analysis device, which is applied to the medium voltage distribution network line problem analysis method disclosed in the first aspect of the present application, and the medium voltage distribution network line problem analysis device includes:
the basic data acquisition module is used for acquiring network frame basic data, equipment basic data, fault basic data and defect basic data of a medium-voltage distribution network line; the network frame basic data comprise insulation rate, cabling rate, line load rate, line length, looped network rate, rotatable power supply rate, line high and low voltage problems and line segmentation number, the equipment basic data comprise distribution transformation problems, automatic switch configuration problems, problem insulators, problem drop-out fuses and problem hardware fittings, the fault basic data comprise fault power failure time, fault times, fault main equipment and frequent fault equipment, and the fault basic data comprise a fault that the safety distance of a line tree is insufficient, an insulator and grounding defect and a main equipment defect;
the characteristic value acquisition module is used for determining a line net rack characteristic value according to the net rack basic data and a pre-acquired net rack basic data average value, determining a line equipment characteristic value according to the equipment basic data and a pre-acquired equipment basic data average value, determining a line fault characteristic value according to the fault basic data and a pre-acquired fault basic data average value, and determining a line defect characteristic value according to the fault basic data, the defect basic data and a pre-acquired defect basic data average value;
a correlation analysis module, configured to determine a rack fault correlation, an equipment fault correlation, and a fault correlation according to the line rack feature value, the line equipment feature value, the line fault feature value, and the line fault feature value, where the line fault correlation is a correlation between the line rack feature value and the line fault feature value, the equipment fault correlation is a correlation between the line equipment feature value and the line fault feature value, and the fault correlation is a correlation between the line fault feature value and the line fault feature value;
and the analysis result determining module is used for determining the analysis result of the medium-voltage distribution network line problem according to the network rack fault correlation, the equipment fault correlation and the defect fault correlation.
Optionally, the correlation analysis module includes:
an independent component vector determining unit, configured to determine a net rack independent component vector according to the line net rack feature value, determine an equipment independent component vector according to the line equipment feature value, determine a fault independent component vector according to the line fault feature value, and determine a fault independent component vector according to the line fault feature value;
and a correlation determination unit configured to determine the grid fault correlation, the equipment fault correlation, and the defect fault correlation, based on the grid independent component vector, the equipment independent component vector, the fault independent component vector, and the defect independent component vector, and using the fault independent component vector as a basis vector.
Optionally, the analysis result determining module includes:
and the analysis result determining unit is used for dividing the medium-voltage distribution network line problems according to preset severity levels according to the net rack fault correlation, the equipment fault correlation and the defect fault correlation, and determining the analysis results of the medium-voltage distribution network line problems.
The application relates to the technical field of distribution network lines and discloses a method and a device for analyzing a problem of a medium-voltage distribution network line. According to the method, net rack basic data, equipment basic data, fault basic data and defect basic data of a medium-voltage distribution network line are obtained, and corresponding characteristic values are determined according to the basic data. And then determining the correlation between various characteristic problems of the net rack, the equipment and the defects and the line fault characteristic value according to the four groups of characteristic values, namely the net rack fault correlation, the equipment fault correlation and the defect fault correlation. And finally, obtaining a final analysis result of the medium-voltage distribution network line problem based on the correlation analysis. The method can save a large amount of human resources and systematically and effectively analyze the problems of the medium-voltage distribution network circuit.
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In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic workflow diagram of a method for analyzing a problem of a medium-voltage distribution network line disclosed in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a device for analyzing a problem of a medium-voltage distribution network line, disclosed in an embodiment of the present application.
Detailed Description
In order to solve the technical problem that in the prior art, potential fault hazards of a medium-voltage distribution network line are eliminated through manpower, a large amount of manpower resources are consumed, and meanwhile, the problem of the medium-voltage distribution network line cannot be systematically and scientifically and effectively analyzed, the application discloses a method and a device for analyzing the problem of the medium-voltage distribution network line through the following two embodiments.
A first embodiment of the present application discloses a method for analyzing a problem of a medium-voltage distribution network line, which is shown in a schematic workflow diagram of fig. 1, and includes:
step S101, acquiring net rack basic data, equipment basic data, fault basic data and defect basic data of a medium-voltage distribution network line. The net rack basic data comprises insulation rate, cabling rate, line load rate, line length, ring networking rate, rotatable power supply rate, line high and low voltage problems and line segmentation number, the equipment basic data comprises distribution transformer problems, automatic switch configuration problems, problem insulators, problem drop-out fuses and problem hardware fittings, the fault basic data comprises fault power failure time, fault times, fault main equipment and frequent fault equipment, and the defect basic data comprises a line tree safety distance deficiency defect, an insulator and grounding defect and a main equipment defect.
The method comprises the steps of collecting net rack basic data, equipment basic data, fault basic data and defect basic data of a medium-voltage distribution network line in the first step, and preparing for subsequent data processing.
Step S102, determining a line net rack characteristic value according to the net rack basic data and a pre-acquired net rack basic data average value, determining a line equipment characteristic value according to the equipment basic data and a pre-acquired equipment basic data average value, determining a line fault characteristic value according to the fault basic data and a pre-acquired fault basic data average value, and determining a line fault characteristic value according to the fault basic data, the defect basic data and a pre-acquired defect basic data average value.
And acquiring basic information of the network frame of the distribution network, and preprocessing basic data of the network frame. Dividing the preprocessed net rack basic data into insulation rate, cabling rate, line load rate, line length, ring network rate and rotatable power supply rate, line high and low voltage problems and line segmentation number, obtaining line net rack characteristic values, and analyzing the basic problems. The net rack basic data comprises insulation rate, cabling rate, line load rate, line length, ring network rate and rotatable power supply rate, line high and low voltage problems and line segmentation number, and the reason for preprocessing the net rack basic data is to classify and normalize the information.
In some embodiments of the present application, it may be found that each of the indexes has a problem through the calculation of the indexes, and then, in the first step, we need to convert them into a value that can be analyzed by a PCA principal component analysis method (a method that needs to be used in the subsequent step S103), and this value normalizes all the indexes and the area average value to form a principal component matrix analysis that can be performed in one dimension, just like solving a matrix in a linear algebra, and a basic solution is obtained, and this basic solution is a line grid characteristic value.
The following are exemplary: the insulation rates are classified for each line, and normalized according to the insulation level (reference value) of the area. In principle, the method is to find out the characteristics of each line in each area, analyze the problem in which aspect the line has a problem, extract the degree of deviation of each line from a reference value, and objectively reflect what the difficult problem of the net rack of the line is.
The following are exemplary: the line length is normalized with the average value of the regional line length, if the line length is more than 1, the line length reflects that the operation and maintenance difficulty of the line is high, and the line length is characterized by being a long line. Regarding the high and low voltage problem, the normalization processing is performed on the average high and low voltage problem of the regional line, and if the average high and low voltage problem is larger than 1, the normalization processing is abnormal.
Specifically, the insulation rate refers to the length of an insulated wire/the total length of a line (the length of the insulated wire comprises an overhead insulated wire and the length of a cable line) in a distribution network line, and the index measures the insulation degree of the line, so that the insulated wire in a power system can be used for responding to the windage yaw of trees in a small number of line channels or the windage yaw short circuit of a large-span line, and the equipment level of a network frame can be reflected. The line cabling rate refers to the length of a cable in a distribution network line/the total length of the line, and the index measures the degree of cabling of the line and mainly reflects the equipment level of the net rack, and if more cable lines exist in cities and towns, the equipment level can be reflected well. However, once the cable is damaged by external force (such as broken), the power failure time is long, and the emergency repair is difficult, and further, if a line cable is more, the net rack information of the cable is better in principle, but once the cable is broken frequently due to municipal works and the like, the operation and maintenance difficulty is also higher. The line load rate refers to the load current/allowable ampacity of a line, and the index reflects the electricity utilization condition of the line, and if the load rate of the line in the line governed by the area is higher, the line is a relatively important line. The line length refers to the length of an overhead bare conductor, the length of an overhead insulated conductor and the length of a cable line of the line, and mainly reflects the network frame condition of the line, for example, the average line length of a region is 30 kilometers, and if the length of a line in the region exceeds 80 kilometers, the operation and maintenance difficulty of the line can be increased correspondingly. The ring network rate mainly refers to whether the line has a ring network operation function, if only 1 line in the area has the ring network function, the line outside a partial fault area can be isolated and power supply can be recovered under the condition of fault, and the operation and maintenance difficulty can be reduced. The convertible power supply rate mainly means whether the line can be converted to power supply under the condition of having the ring network function, if only 1 line in the area has the ring network function, but the load behind the ring network point is heavy, then the line can not be converted to power supply even if the line has the ring network function under the condition of a fault, even if the line outside a partial fault area can be isolated, the power supply can not be recovered, and then the operation and maintenance difficulty can not be effectively reduced. The line high and low voltage problem, this index is related to line length, line load rate, if a line has low voltage problem, this line is longer, the load is heavier at the same time, then we can evaluate the severity of this problem after measuring the area where this line has low voltage problem. Number of line segments: the number of the switches (breakers and load switches) of the line is +1, and the number is the number of sections of the line, so that the problem is mainly reflected in that the power failure range of one line can be effectively shortened under the condition of a fault. In summary, the above 8 values are analyzed in a numerical form in an actual scene, and we all perform normalization processing according to the area line average value.
Similarly, basic information of line equipment is collected, equipment basic data is preprocessed, the preprocessed equipment basic data is divided into distribution transformation problems, automatic switch configuration problems, problem insulators, problem drop-out fuses and problem hardware fittings, characteristic values of the line equipment are obtained, and basic problems are analyzed. The main reflection here is distribution transformation, automatic switch, problem insulator (we are mainly pointer insulator), problem drop-out fuse (RW11 type and below), problem hardware (copper-aluminum transition wire clamp). The quantity of the equipment in one line and the average quantity of the equipment in the area line are normalized, so that the equipment characteristics of each line in each area are found out in principle, the problem in which aspect exists is analyzed, the degree of deviation of each line from a reference value is extracted, and the main difficulty of the equipment of the line is objectively reflected.
Similarly, the power failure time and the failure times of a single failure of the line and the failure condition of the main equipment are collected, and the failure basic data are preprocessed according to line switches, equipment, failure types and the like. The method comprises the steps of taking a switch on a line as a segmentation point of a preprocessed line fault, dividing fault basic data into fault power failure time, fault frequency, fault main equipment and frequent fault equipment according to dimensionality, obtaining a characteristic value of the line fault, and analyzing the characteristic value to have a basic problem. Each line with a single fault has a fault device, fault power failure time, a fault type and a switch related to power failure, the switches are generally counted according to the device type, the power failure time and the fault type (the fault switch is actually a demarcation point and divides the line into a plurality of sections, and only one section is divided and does not actually participate in evaluation), the counted values are finally aggregated into a mode of a region and a plurality of lines, and the normalized values are normalized with the average value of the region lines, or a matrix is formed to find out the fault characteristic value of the line.
Similarly, line defect information is collected, and line defect basic data is preprocessed according to line fault types, frequent fault equipment and the like. And combining the preprocessed fault data, dividing the fault basic data into a defect of insufficient line tree safe distance, a defect of insulator and grounding, a defect of main equipment and the like according to dimensionality by taking a switch on the line as a segmentation point according to the type of the line fault, acquiring a defect characteristic value related to the line fault, and analyzing the defect characteristic value to have a basic problem. The above-mentioned we have performed the fault problem normalization process of the regional line on the fault data and found the characteristic value of the fault. The concept that the collected line defect information is utilized to divide a line into a plurality of sections by using the fact that the fault switch is actually a demarcation point is adopted, the defect information of one line is subjected to regional line normalization processing according to the defect type and the representation, the first characteristic value of the defect (the line tree is short of safe distance, the insulator and grounding defect, the main equipment defect and the like) is found, and the second characteristic value of the defect and the fault characteristic value are subjected to correlation analysis (the defect characteristic is subjected to least square regression on the fault) to form a line defect characteristic value related to the line fault.
Step S103, determining rack fault correlation, equipment fault correlation and defect fault correlation according to the line rack characteristic value, the line equipment characteristic value, the line fault characteristic value and the line defect characteristic value, wherein the line fault correlation is the correlation between the line rack characteristic value and the line fault characteristic value, the equipment fault correlation is the correlation between the line equipment characteristic value and the line fault characteristic value, and the defect fault correlation is the correlation between the line defect characteristic value and the line fault characteristic value.
Optionally, determining rack fault correlation, equipment fault correlation and fault correlation according to the line rack characteristic value, the line equipment characteristic value, the line fault characteristic value and the line fault characteristic value includes:
determining a net rack independent component vector according to the line net rack characteristic value, determining an equipment independent component vector according to the line equipment characteristic value, determining a fault independent component vector according to the line fault characteristic value, and determining a fault independent component vector according to the line fault characteristic value.
And determining the grid fault correlation, the equipment fault correlation and the defect fault correlation according to the grid independent component vector, the equipment independent component vector, the fault independent component vector and the defect independent component vector and by taking the fault independent component vector as a base vector.
Specifically, a group of independent component vectors which are linearly independent are formed on the basis of the characteristic values of the net rack, the equipment, the faults and the defect preprocessing data. And respectively calculating and analyzing the correlations of various characteristic problems of the net rack, the equipment and the defects and the fault characteristic values by using the fault characteristic values as basis vectors of independent components and utilizing a Principal Component Analysis (PCA) method. The network frame, the equipment and the defect in the embodiment are normalized with the regional line in the first step, and the characteristics of the line in the 3 dimensions are found, in this case, the least square regression is performed on the characteristics of the 3 dimensions and the fault. The straight white point is to firstly find the correlation (similar to projection distance) between the grid characteristics and the power failure time and the fault equipment in the fault characteristics. The correlation of device characteristics to the failed device (e.g., drop out fuse of type RW11 and below, to drop out fuse failure) is then determined. The finally found defects and faults are all related by the length similar to the projection distance, and the longer the projection is, the higher the correlation is.
And S104, determining an analysis result of the medium-voltage distribution network line problem according to the net rack fault correlation, the equipment fault correlation and the defect fault correlation.
Optionally, the determining an analysis result of the medium-voltage distribution network line problem according to the rack fault correlation, the equipment fault correlation, and the defect fault correlation includes:
and dividing the medium-voltage distribution network line problems according to preset severity levels according to the net rack fault correlation, the equipment fault correlation and the defect fault correlation, and determining an analysis result of the medium-voltage distribution network line problems.
Optionally, the severity level includes high, medium and low.
Specifically, the maximum correlation degree of independent components of the net rack, the equipment and the defects and the faults is calculated by a linear regression algorithm, a correlation analysis model is designed, and the problems of the distribution network line are divided into a high type, a medium type and a low type according to the severity grade based on the correlation analysis.
The net rack basic data, the equipment basic data and the defect basic data all contain characteristic values of independent components, and certain correlation exists between the characteristic values and line fault characteristic values, and the concrete expression is as follows: the line length characteristic, the line looped network and rotatable power supply characteristic, the problem equipment characteristic, the special defect characteristic and the fault type characteristic are in one or more correlation expressions. Here, a confidence interval analysis of probability is added, in this embodiment, a 95 probability interval is set, for example, correlation analysis is performed between the ring network rate and the transferable power supply rate in the rack feature and the power failure time in the fault feature, and when the projection value returned to the fault time reflects that the ring network rate and the transferable power supply rate are low, the fault power failure time is long (in the 95 probability interval), and we consider that the fault power failure time is seriously related. This value we set to 1 (code processing).
In some embodiments of the present application, type cleaning is performed on related fault data, and a switch of a line fault action is taken as a node, so as to clarify fault type characteristic components such as transient fault, main equipment fault, vulnerable equipment fault, lightning fault, tree fault and the like. And then, carrying out PCA principal component correlation analysis on the net rack, the equipment, the defect and the characteristic component of the fault type, and analyzing and evaluating the problems of the distribution network lines and the improvement method.
In some embodiments of the present application, 4 large-dimension classifications related to racks, devices, defects, and faults collectively relate to the 7 kinds of analysis results related to faults, which are specifically shown in table 1:
TABLE 1
| Net frame | Device | Defect of | Fault of |
| 0 | 0 | 1 | 1 |
| 0 | 1 | 0 | 1 |
| 0 | 1 | 1 | 1 |
| 1 | 0 | 0 | 1 |
| 1 | 0 | 1 | 1 |
| 1 | 1 | 0 | 1 |
| 1 | 1 | 1 | 1 |
All correlation analysis results with faults in the 4 dimensions are represented by '0, 1', 0 'represents a non-correlation dimension, and 1' represents serious correlation with the faults of the distribution network lines.
The number of 1 in the correlation analysis is utilized to divide the severity level of the distribution network line problem into a high type, a medium type and a low type, and the method specifically comprises the following steps:
the method comprises 4 '1' definitions, namely the net rack, equipment and defects of the distribution network line are positively correlated with faults, and the problem degree is high; the system comprises 3 '1's defined as network frame and defect, equipment and defect, and network frame and equipment of the distribution network line, which are positively correlated with the line fault, and the problem degree is moderate; the system comprises 2 '1's defined as net racks, equipment and defects, which are positively correlated with line faults respectively, and the problem degree is low. And then, completing the correlation analysis of the medium-voltage distribution network line problems, and determining the analysis result of the medium-voltage distribution network line problems.
According to the method for analyzing the problems of the medium-voltage distribution network lines, the net rack basic data, the equipment basic data, the fault basic data and the defect basic data of the medium-voltage distribution network lines are firstly obtained, and the corresponding characteristic values are determined according to the basic data. And then determining the correlation between various characteristic problems of the net rack, the equipment and the defects and the line fault characteristic value according to the four groups of characteristic values, namely the net rack fault correlation, the equipment fault correlation and the defect fault correlation. And finally, obtaining a final analysis result of the medium-voltage distribution network line problem based on the correlation analysis. The method can save a large amount of human resources and systematically and effectively analyze the problems of the medium-voltage distribution network circuit.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
The second embodiment of the present application discloses a medium voltage distribution network line problem analysis device, which is applied to the medium voltage distribution network line problem analysis method disclosed in the first embodiment of the present application, and referring to the schematic structural diagram shown in fig. 2, the medium voltage distribution network line problem analysis device includes:
the basic data acquisition module 10 is configured to acquire network frame basic data, device basic data, fault basic data, and defect basic data of the medium-voltage distribution network line. The net rack basic data comprises insulation rate, cabling rate, line load rate, line length, ring networking rate, rotatable power supply rate, line high and low voltage problems and line segmentation number, the equipment basic data comprises distribution transformer problems, automatic switch configuration problems, problem insulators, problem drop-out fuses and problem hardware fittings, the fault basic data comprises fault power failure time, fault times, fault main equipment and frequent fault equipment, and the defect basic data comprises a line tree safety distance deficiency defect, an insulator and grounding defect and a main equipment defect.
And the characteristic value acquisition module 20 is used for determining a line network frame characteristic value according to the network frame basic data and the pre-acquired network frame basic data average value, determining a line equipment characteristic value according to the equipment basic data and the pre-acquired equipment basic data average value, determining a line fault characteristic value according to the fault basic data and the pre-acquired fault basic data average value, and determining a line fault characteristic value according to the fault basic data, the fault basic data and the pre-acquired fault basic data average value.
Optionally, the correlation analysis module 30 includes:
and the independent component vector determining unit is used for determining a net rack independent component vector according to the line net rack characteristic value, determining an equipment independent component vector according to the line equipment characteristic value, determining a fault independent component vector according to the line fault characteristic value and determining a fault independent component vector according to the line fault characteristic value.
And a correlation determination unit configured to determine the grid fault correlation, the equipment fault correlation, and the defect fault correlation, based on the grid independent component vector, the equipment independent component vector, the fault independent component vector, and the defect independent component vector, and using the fault independent component vector as a basis vector.
And the analysis result determining module 40 is configured to determine an analysis result of the medium-voltage distribution network line problem according to the rack fault correlation, the equipment fault correlation, and the defect fault correlation.
Optionally, the analysis result determining module 40 includes:
and the analysis result determining unit is used for dividing the medium-voltage distribution network line problems according to preset severity levels according to the net rack fault correlation, the equipment fault correlation and the defect fault correlation, and determining the analysis results of the medium-voltage distribution network line problems.
The present application has been described in detail with reference to specific embodiments and illustrative examples, but the description is not intended to limit the application. Those skilled in the art will appreciate that various equivalent substitutions, modifications or improvements may be made to the presently disclosed embodiments and implementations thereof without departing from the spirit and scope of the present disclosure, and these fall within the scope of the present disclosure. The protection scope of this application is subject to the appended claims.
Claims (7)
1. A medium-voltage distribution network line problem analysis method is characterized by comprising the following steps:
acquiring network frame basic data, equipment basic data, fault basic data and defect basic data of a medium-voltage distribution network line; the network frame basic data comprise insulation rate, cabling rate, line load rate, line length, looped network rate, rotatable power supply rate, line high and low voltage problems and line segmentation number, the equipment basic data comprise distribution transformation problems, automatic switch configuration problems, problem insulators, problem drop-out fuses and problem hardware fittings, the fault basic data comprise fault power failure time, fault times, fault main equipment and frequent fault equipment, and the fault basic data comprise a fault that the safety distance of a line tree is insufficient, an insulator and grounding defect and a main equipment defect;
determining a line net rack characteristic value according to the net rack basic data and a pre-acquired net rack basic data average value, determining a line equipment characteristic value according to the equipment basic data and a pre-acquired equipment basic data average value, determining a line fault characteristic value according to the fault basic data and a pre-acquired fault basic data average value, and determining a line defect characteristic value according to the fault basic data, the defect basic data and a pre-acquired defect basic data average value;
determining a rack fault correlation, an equipment fault correlation and a fault correlation according to the line rack characteristic value, the line equipment characteristic value, the line fault characteristic value and the line fault characteristic value, wherein the line fault correlation is the correlation between the line rack characteristic value and the line fault characteristic value, the equipment fault correlation is the correlation between the line equipment characteristic value and the line fault characteristic value, and the fault correlation is the correlation between the line fault characteristic value and the line fault characteristic value;
and determining an analysis result of the medium-voltage distribution network line problem according to the network frame fault correlation, the equipment fault correlation and the defect fault correlation.
2. The method of analyzing problems with lines of a medium voltage power distribution network of claim 1, wherein determining rack fault correlations, equipment fault correlations, and fault correlations based on the line rack eigenvalues, the line equipment eigenvalues, the line fault eigenvalues, and the line fault eigenvalues comprises:
determining a net rack independent component vector according to the line net rack characteristic value, determining an equipment independent component vector according to the line equipment characteristic value, determining a fault independent component vector according to the line fault characteristic value, and determining a defect independent component vector according to the line defect characteristic value;
and determining the grid fault correlation, the equipment fault correlation and the defect fault correlation according to the grid independent component vector, the equipment independent component vector, the fault independent component vector and the defect independent component vector and by taking the fault independent component vector as a base vector.
3. The method of analyzing problems with medium voltage distribution network lines of claim 1, wherein determining the analysis results of medium voltage distribution network line problems based on the rack fault correlation, the equipment fault correlation, and the fault correlation comprises:
and dividing the medium-voltage distribution network line problems according to preset severity levels according to the net rack fault correlation, the equipment fault correlation and the defect fault correlation, and determining an analysis result of the medium-voltage distribution network line problems.
4. The method of claim 3, wherein the severity levels comprise high, medium, and low.
5. A medium voltage distribution network line problem analysis device, which is applied to the medium voltage distribution network line problem analysis method according to any one of claims 1 to 4, the medium voltage distribution network line problem analysis device comprising:
the basic data acquisition module is used for acquiring network frame basic data, equipment basic data, fault basic data and defect basic data of a medium-voltage distribution network line; the network frame basic data comprise insulation rate, cabling rate, line load rate, line length, looped network rate, rotatable power supply rate, line high and low voltage problems and line segmentation number, the equipment basic data comprise distribution transformation problems, automatic switch configuration problems, problem insulators, problem drop-out fuses and problem hardware fittings, the fault basic data comprise fault power failure time, fault times, fault main equipment and frequent fault equipment, and the fault basic data comprise a fault that the safety distance of a line tree is insufficient, an insulator and grounding defect and a main equipment defect;
the characteristic value acquisition module is used for determining a line net rack characteristic value according to the net rack basic data and a pre-acquired net rack basic data average value, determining a line equipment characteristic value according to the equipment basic data and a pre-acquired equipment basic data average value, determining a line fault characteristic value according to the fault basic data and a pre-acquired fault basic data average value, and determining a line defect characteristic value according to the fault basic data, the defect basic data and a pre-acquired defect basic data average value;
a correlation analysis module, configured to determine a rack fault correlation, an equipment fault correlation, and a fault correlation according to the line rack feature value, the line equipment feature value, the line fault feature value, and the line fault feature value, where the line fault correlation is a correlation between the line rack feature value and the line fault feature value, the equipment fault correlation is a correlation between the line equipment feature value and the line fault feature value, and the fault correlation is a correlation between the line fault feature value and the line fault feature value;
and the analysis result determining module is used for determining the analysis result of the medium-voltage distribution network line problem according to the network rack fault correlation, the equipment fault correlation and the defect fault correlation.
6. The medium voltage distribution network line problem analysis device of claim 5, wherein the correlation analysis module comprises:
an independent component vector determining unit, configured to determine a net rack independent component vector according to the line net rack feature value, determine an equipment independent component vector according to the line equipment feature value, determine a fault independent component vector according to the line fault feature value, and determine a fault independent component vector according to the line fault feature value;
and a correlation determination unit configured to determine the grid fault correlation, the equipment fault correlation, and the defect fault correlation, based on the grid independent component vector, the equipment independent component vector, the fault independent component vector, and the defect independent component vector, and using the fault independent component vector as a basis vector.
7. The medium voltage distribution network line problem analysis device according to claim 5, wherein the analysis result determination module comprises:
and the analysis result determining unit is used for dividing the medium-voltage distribution network line problems according to preset severity levels according to the net rack fault correlation, the equipment fault correlation and the defect fault correlation, and determining the analysis results of the medium-voltage distribution network line problems.
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