CN114493120A - Voltage data quality evaluation method and system and computer storage medium - Google Patents

Voltage data quality evaluation method and system and computer storage medium Download PDF

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Publication number
CN114493120A
CN114493120A CN202111607591.5A CN202111607591A CN114493120A CN 114493120 A CN114493120 A CN 114493120A CN 202111607591 A CN202111607591 A CN 202111607591A CN 114493120 A CN114493120 A CN 114493120A
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index
evaluation
subjective
weight
voltage data
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颜碧炎
伍艺佳
瞿旭
刘卫东
章健军
夏建勋
谭庆科
于艺盛
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State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Maintenance Co of State Grid Hunan Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Maintenance Co of State Grid Hunan Electric Power Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

The invention discloses a voltage data quality evaluation method, a system and a computer storage medium, wherein various indexes of secondary voltage data of a capacitor voltage transformer are obtained, the various indexes of the secondary voltage data are input into a quality index classification evaluation model, quality index values of the various indexes are output, and then a comprehensive evaluation result of the secondary voltage data is obtained through calculation; the quality index classification evaluation model is provided with a subjective evaluation index system and an objective evaluation index system at the same time, so that the data quality is evaluated from subjective and objective dimensions, and a set of complete data quality evaluation specifications is established; after the quality index values of all indexes are obtained, homogenization treatment is carried out on the instruction index values of the subjective evaluation indexes and the instruction index values of the objective evaluation indexes, the comprehensive weight of all indexes is determined, so that the evaluation of the data quality is improved, meanwhile, the comprehensive evaluation result is corrected by introducing confidence, and the accuracy and the reliability of the data quality evaluation result are improved to the greatest extent.

Description

Voltage data quality evaluation method and system and computer storage medium
Technical Field
The invention relates to the technical field of electrical engineering, in particular to a voltage data quality evaluation method and system and a computer storage medium.
Background
A Capacitive Voltage Transformer (CVT) is often used in an electric power system of 35kV or more to provide a reliable power frequency Voltage signal for secondary equipment such as measurement, protection and control devices. However, the capacitor voltage transformer has faults such as capacitor breakdown, disconnection or short circuit in the secondary winding during operation, and the safe and stable operation of the power system is seriously affected. Meanwhile, the secondary voltage of the CVT is the first characteristic for judging the fault of the CVT, and how to find the abnormality of the equipment according to the fluctuation of the secondary voltage data to prevent accidents is very important for operation and maintenance personnel.
CVTs have been widely used in power grids for many years, accumulating a large amount of operational data and various parameters. Meanwhile, China is in the key period of digital transformation, and a new technology and a new application based on power grid data are beneficial to scientific and technological innovation and structural transformation. However, because the operating environment of the CVT device is complex and changeable, the accuracy of the device state data cannot be met due to external interference and the limitation of the internal measurement technology. Meanwhile, the equipment displays abnormal data when a fault or a defect occurs, and the data contains a plurality of important information, and the data cannot be processed in the same way as noise data or data caused by sensor abnormality when the data quality is evaluated.
At present, the global research on the data quality of the voltage of the CVT is focused on the aspects of data storage, mining analysis and the like, and the data quality evaluation problem is not paid enough attention. The data quality evaluation is an important ring in equipment state monitoring and management and is also a key problem in equipment health management.
Disclosure of Invention
The invention provides a voltage data quality evaluation method, a voltage data quality evaluation system and a computer storage medium, which are used for solving the technical problem of how to evaluate the data quality of voltage.
In order to solve the above technical problem, the technical solution provided by the present invention is a voltage data quality evaluation method, including:
obtaining evaluation indexes of secondary voltage data of the capacitive voltage transformer, wherein the evaluation indexes comprise objective indexes and subjective indexes;
determining subjective weight of subjective indexes based on an analytic hierarchy process improved order relation analytical method, and determining objective weight of objective indexes based on an entropy weight method;
calculating to obtain an evaluation result of the secondary voltage data according to the index value of the evaluation index;
preferably, the calculating the evaluation result of the secondary voltage data according to the index value of the evaluation index includes performing secondary homogenization processing on the subjective weight and the objective weight to obtain an integrated weight, and calculating the evaluation result of the secondary voltage data according to the integrated weight and the index value of the evaluation index.
Preferably, the calculating the evaluation result of the secondary voltage data according to the index value of the evaluation index includes correcting the comprehensive evaluation result by using the confidence coefficient to obtain the comprehensive evaluation result.
Preferably, the objective index comprises a voltage deviation value and a voltage unbalance rate; subjective indicators include integrity, accuracy and effectiveness.
Preferably, the voltage deviation value and the voltage unbalance rate index value are obtained by calculating secondary voltage historical data of the capacitor voltage transformer and secondary voltage data of the current evaluation; and index values of integrity, accuracy and effectiveness are obtained through quantitative marking.
Embodiments of the present invention also provide a computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the methods described above when executing the computer program.
Embodiments of the present invention also provide a computer storage medium having a computer program stored thereon, which when executed by a processor, performs the steps of any of the methods described above.
The invention has the following beneficial effects:
1. according to the voltage data quality evaluation method, the system and the computer storage medium, evaluation indexes of secondary voltage data of the capacitor voltage transformer are obtained, wherein the evaluation indexes comprise objective indexes and subjective indexes; determining subjective weight of subjective indexes based on an analytic hierarchy process, and determining objective weight of objective indexes based on an entropy weight process; and calculating to obtain an evaluation result of the secondary voltage data according to the index value of the evaluation index, and evaluating the data quality from the aspects of subjective and objective dimensions, qualitative and quantitative, thereby being beneficial to establishing a set of perfect data quality evaluation specifications.
2. According to the preferred embodiment of the invention, the subjective and objective weights are combined to carry out secondary homogenization treatment to obtain the comprehensive weight, the comprehensive weight and the index value of the evaluation index are combined to calculate the evaluation result of the secondary voltage data, and meanwhile, the confidence coefficient is introduced to correct the evaluation result, so that the accuracy and the reliability of the data quality evaluation result are improved to the greatest extent.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic structural diagram of a voltage data quality evaluation method according to a preferred embodiment of the present invention;
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Example 1:
referring to fig. 1, a data quality evaluation method of a voltage according to the present invention includes:
s1, obtaining evaluation indexes of secondary voltage data of the capacitor voltage transformer, wherein the evaluation indexes comprise objective indexes and subjective indexes;
s2, determining the subjective weight of the subjective index based on the improved sequence relation analysis method of the analytic hierarchy process, and determining the objective weight of the objective index based on the entropy weight method;
s2.1 the subjective weight of the subjective index is established based on the sequence relation analysis method improved by the analytic hierarchy process, and the subjective weight comprises the following steps: preferentially determining the most important subjective index or the least important subjective index, setting the most important subjective index at the top, setting the least important index at the tail, selecting the most important subjective index or the least important subjective index from the rest indexes, and so on to form a subjective index sequence Q1、Q2、...、Qp-1、Qp，p＝1,2，...，h。
Establishing a subjective index Q based on the index rankingpRelative degree of importance RpIf the subjective index QpAnd the last subjective index Qp-1The degree of closeness of the relationship is defined by 1 as a boundary line, the higher the degree of closeness is greater than 1, the lower the degree of closeness is less than 1, and R ispThe value of (A) is given by an expert after comprehensive evaluation.
The subjective weight value of the subjective index meets the following formula:
Figure BDA0003427553880000031
wherein, WpIs the subjective weight value of the pth subjective index, RpIs the relative importance degree of the subjective index.
Calculating the subjective weight value of the (p-1) th index according to the subjective weight value of the (p) th subjective index, and satisfying the following formula:
Wp-1＝RpWp
wherein R ispW is the relative degree of importance of the pth subjective indexpThe subjective weight value of the p-th subjective index.
Therefore, the subjective weight value of each subjective index can be obtained.
S2.2 determining the objective weight of the objective index based on the entropy weight method comprises evaluating objective weight priority normalization and determining index type. Calculating objective weight of each objective index.
In an alternative embodiment, in the process of determining the ranking of the subjective indicators, indicators that are not closely related to the events may be screened out, and do not participate in the data quality evaluation process.
S3, calculating to obtain the evaluation result of the secondary voltage data according to the index value of the evaluation index;
optionally, the calculating the evaluation result of the secondary voltage data according to the index value of the evaluation index includes performing secondary homogenization processing on the subjective weight and the objective weight to obtain an integrated weight, and calculating the evaluation result of the secondary voltage data according to the integrated weight and the index value of the evaluation index.
It should be noted that the set of secondary voltage data includes a plurality of secondary voltage data, i.e., a plurality of samples, and therefore the evaluation result of the secondary voltage data is the ranking of the evaluation results of the plurality of samples.
The subjective weight of the subjective index and the objective weight of the objective index are obtained by two different methods, so that the influence of the subjective index and the objective index on the evaluation result needs to be balanced simultaneously when the evaluation result is calculated, namely, the consistency of the subjective index and the objective index is considered, and the subjective weight and the objective weight need to be combined for secondary homogenization treatment, so that the value of the comprehensive weight of each evaluation index is obtained. Therefore, comprehensive weight is introduced, the evaluation indexes are arranged in sequence to obtain an evaluation index sequence, and the comprehensive weight satisfies the following formula:
Figure BDA0003427553880000041
wherein, ω isijIs an integrated weight, WjSubjective weight representing the jth assessment index, BijThe objective weight of the jth evaluation index representing the ith sample.
It should be noted that a set of secondary voltage data includes a plurality of samples XiThe subjective indexes of each sample are the same, but the objective indexes are different, so the subjective weight of the formula of the comprehensive weight is different from the sample in a group of secondary voltage data, but the objective weight of the formula of the comprehensive weight is different from the sample.
Optionally, according to the index value of the evaluation index, calculating the evaluation result of the secondary voltage data includes correcting the comprehensive evaluation result by using the confidence coefficient to obtain the comprehensive evaluation result.
In this alternative embodiment, when xij≤ajkWhen, muijk＝1，μij1＝μij2＝…＝μij(k-1)＝0；
When a isjk≤xij≤aj(k+1)When the temperature of the water is higher than the set temperature,
Figure BDA0003427553880000042
wherein, muijkFor the j th evaluation index x in the ith sampleijMeasure of property at the k +1 level, μij(k+1)For the j th evaluation index x in the ith sampleijMeasure of Property at the k +1 level, ajkK is a standard value at each level of each evaluation index, and K is 1, 2.
Calculating to obtain the ith sample evaluation index xijIntegrated measures at k level:
Figure BDA0003427553880000043
wherein, ω isijIs a sample XiIntegrated weight, μ, for m indices inijkFor the j th evaluation index x in the ith sampleijMeasure of attribute at the k +1 level, ωij>0，j＝1,2,…m，k＝1,2，...，K。
In addition, μikDerived from the integrated weight and attribute measure.
The corresponding integrated measure matrix can be listed for i samples:
Figure BDA0003427553880000051
and (3) carrying out identification comparison according to a confidence coefficient tau criterion, wherein tau is more than or equal to 0.6 and less than or equal to 0.7, and the confidence coefficient comparison calculation formula of the ith sample is as follows:
Figure BDA0003427553880000052
sample XiThe comprehensive evaluation result satisfies the following formula:
Figure BDA0003427553880000053
wherein D isiRepresents the result of the comprehensive evaluation of the sample i, k represents the attribute level, μikRepresenting the integrated measure of sample i at the k level.
Then according to a plurality of samples XiComprehensive evaluation result D ofiAnd sequencing to obtain the evaluation result of the secondary voltage data.
Optionally, the objective index includes a voltage deviation value and a voltage unbalance rate; subjective indicators include integrity, accuracy, and effectiveness.
And the integrity index, the accuracy index and the effectiveness index also evaluate the quality of the secondary voltage data from a qualitative layer, and the voltage deviation value index and the voltage unbalance rate index evaluate the quality of the secondary voltage data from a quantitative layer, so that the data quality of the secondary voltage data is evaluated.
Optionally, the voltage deviation value and the voltage unbalance rate index value are obtained by calculating secondary voltage historical data of the capacitor voltage transformer and secondary voltage data of the current evaluation; and index values of the integrity index, the accuracy index and the effectiveness index are obtained by quantitative marking.
In the optional embodiment, the index values of the integrity index, the accuracy index and the effectiveness index are given after expert comprehensive evaluation.
It should be noted that, when a plurality of evaluation indexes are used to perform quality evaluation on data in a manner of summing the index values, whether the evaluation result of the data quality is positively or negatively affected by the index values of different evaluation indexes needs to be considered, generally, when data quality evaluation is performed, the evaluation result of the data quality is positively affected by the index values of the integrity index, the accuracy index and the validity index, but in this optional embodiment, the voltage deviation value index and the voltage unbalance rate index are negatively affected, so when the index values of the integrity index, the accuracy index and the validity index are quantized and labeled in the implementation, it is necessary to quantitatively label the negatively affected evaluation result of the data quality based on the index values of the integrity index, the accuracy index and the validity index.
When the method is implemented, comprehensive evaluation results of multiple groups of secondary voltage data are obtained by using the scheme, and the secondary voltage data are arranged in sequence to obtain a secondary voltage data quality sequence.
Example 2:
a computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of embodiment 1 above when executing the computer program.
Example 3:
a computer storage medium on which a computer program is stored which, when executed by a processor, carries out the steps of the method of embodiment 1 above.
In summary, the invention discloses a method, a system and a computer storage medium for evaluating the data quality of voltage, wherein the evaluation indexes of the secondary voltage data of a capacitor voltage transformer are obtained by the computer storage medium, and comprise objective indexes and subjective indexes; determining the subjective weight of the subjective index based on an analytic hierarchy process, and determining the objective weight of the objective index based on an entropy weight method; and calculating to obtain an evaluation result of the secondary voltage data according to the index value of the evaluation index, and evaluating the data quality from the aspects of subjective and objective dimensions, qualitative and quantitative, thereby being beneficial to establishing a set of perfect data quality evaluation specifications. And meanwhile, the subjective and objective weights are combined to carry out secondary homogenization treatment to obtain a comprehensive weight, an evaluation result of secondary voltage data is obtained by combining the comprehensive weight and the index value of the evaluation index, and meanwhile, the confidence coefficient is introduced to correct the evaluation result, so that the accuracy and the reliability of the data quality evaluation result are improved to the greatest extent.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processing module-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of embodiments of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, any one or a combination of the following techniques, which are well known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (7)

1. A method for data quality assessment of a voltage, comprising:
obtaining an evaluation index of secondary voltage data of the capacitive voltage transformer, wherein the evaluation index comprises an objective index and a subjective index;
determining subjective weight of subjective indexes based on an analytic hierarchy process improved order relation analytical method, and determining objective weight of objective indexes based on an entropy weight method;
and calculating to obtain an evaluation result of the secondary voltage data according to the index value of the evaluation index.
2. The method according to claim 1, wherein the calculating an evaluation result of the secondary voltage data according to the index value of the evaluation index includes performing a secondary homogenization process by combining a subjective weight and an objective weight to obtain an integrated weight, and calculating an evaluation result of the secondary voltage data by combining the integrated weight and the index value of the evaluation index.
3. The method according to claim 1, wherein the calculating the evaluation result of the secondary voltage data according to the index value of the evaluation index includes correcting the comprehensive evaluation result with a confidence to obtain the comprehensive evaluation result.
4. The method according to claim 1, wherein the objective index includes a voltage deviation value and a voltage unbalance rate; the subjective indicators include integrity, accuracy and effectiveness.
5. The method according to claim 2, wherein the voltage deviation value and the voltage unbalance rate index value are calculated from the historical secondary voltage data of the capacitive voltage transformer and the secondary voltage data of the current evaluation; and the index values of the integrity, the accuracy and the effectiveness are obtained by quantitative marking.
6. A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any one of claims 1 to 5 are performed when the computer program is executed by the processor.
7. A computer storage medium having a computer program stored thereon, wherein the program is adapted to perform the steps of the method of any one of claims 1 to 5 when executed by a processor.
CN202111607591.5A 2021-12-22 2021-12-22 Voltage data quality evaluation method and system and computer storage medium Pending CN114493120A (en)

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