Method for comprehensive evaluation of electromagnetic voltage transformer, electronic device and storage medium

Abstract

The application relates to an electromagnetic voltage transformer comprehensive evaluation method, an electronic device and a storage medium, and belongs to the technical field of power equipment. The method comprises the following steps: collecting three-phase constitution schemes of an electromagnetic voltage transformer, and obtaining decision information of each phase according to a preset decision standard; constructing a grey correlation method evaluation index system, and obtaining a dimensionless data matrix according to a test result and the grey correlation method evaluation index system; judging whether "failure" appears in the dimensionless data matrix, if yes, the state of the electromagnetic voltage transformer of the corresponding phase is "unqualified"; if not, calculating the dimensionless data matrix according to a reference sequence, obtaining an evaluation result, and determining the priority of maintenance. The accuracy of the evaluation result can be improved, the timeliness of maintenance is greatly improved, and the equipment management efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power equipment, in particular to an electromagnetic voltage transformer comprehensive evaluation method, an electronic device and a storage medium. BACKGROUND

[0002] In order to ensure the safe operation of the power system, the operation of the power equipment needs to be monitored and the data of the equipment operation needs to be measured. The ordinary measurement and protection device does not allow the primary high-voltage equipment to be directly connected thereto, and the high voltage and large current of the primary system need to be replaced into low voltage and small current according to different proportions to provide for the measuring instrument and the protection device. The transformer is used to perform this task. With the development of society, the power industry is also developing rapidly, and the application of the transformer is also becoming more and more widespread. From the functional point of view, the transformer can be divided into voltage transformers and current transformers, and with the discovery of many new materials, electromagnetic transformers and photoelectric transformers have also appeared.

[0003] In recent years, many power plants in China have experienced power failure accidents due to the burning of generator outlet voltage transformers. The reliability of the generator outlet voltage transformer has attracted widespread attention in the industry. The generator outlet voltage transformer is an electromagnetic voltage transformer. It is generally believed that in a neutral point ungrounded system, the excitation inductance of the electromagnetic voltage transformer may match the system capacitance to ground under the conditions of instantaneous impact closing of the no-load bus, single-phase grounding recovery or severe load changes, thereby causing ferroresonance phenomenon, causing system overvoltage and electromagnetic voltage transformer high-voltage winding overcurrent, resulting in various faults of the electromagnetic voltage transformer.

[0004] At present, the detection methods of electromagnetic voltage transformers at home and abroad are mostly based on the power equipment preventive test regulations to complete the outage maintenance and through the infrared temperature measurement and other online monitoring means. There is a lack of comprehensive evaluation method for electromagnetic voltage transformers. Since most of the generator sets bear the task of power supply, there are problems such as long maintenance period, short maintenance period, etc., and in recent years, the price of coal and gas has been at a high level, resulting in huge operating pressure of each power plant. Therefore, how to accurately, reasonably and low-costly evaluate and maintain the state of the electromagnetic voltage transformer is very important. SUMMARY

[0005] In a first aspect, the embodiments of the present application provide a comprehensive evaluation method of electromagnetic voltage transformers, comprising: setting a three-phase constituting scheme set of electromagnetic voltage transformers, and obtaining decision information of each phase according to a preset decision standard; constructing a grey correlation method evaluation index system, and obtaining a dimensionless data matrix according to a test result and the grey correlation method evaluation index system; judging whether there is a failure in the dimensionless data matrix, if yes, the state of the corresponding phase electromagnetic voltage transformer is unqualified; if not, calculating the dimensionless data matrix according to a reference sequence to obtain an evaluation result, and determining the priority of maintenance.

[0006] In some embodiments, the calculation of the dimensionless data matrix according to the reference sequence to obtain the evaluation result and determine the priority of maintenance comprises: calculating the correlation coefficients of each data in the dimensionless data matrix and the corresponding elements of the reference sequence to form a correlation coefficient matrix; refining electromagnetic voltage transformer state evaluation index parameters that meet consistency test through analytic hierarchy process, simultaneously obtaining attribute weights of each parameter for evaluation, constructing a weighted correlation coefficient matrix according to the attribute weights, and calculating weighted comprehensive attribute values of each phase electromagnetic voltage transformer; based on the weighted comprehensive attribute values of each phase electromagnetic voltage transformer, calculating the evaluation result of each phase electromagnetic voltage transformer, ranking the evaluation results to obtain a ranking result, and determining the priority of maintenance.

[0007] In some embodiments, based on the weighted comprehensive attribute values of each phase electromagnetic voltage transformer, the calculation of the evaluation result of each phase electromagnetic voltage transformer and the ranking of the evaluation results comprises: judging the ranking result according to the size of the weighted comprehensive attribute values of each phase electromagnetic voltage transformer and reference sequence selection; if the reference sequence is the optimal value data column, the larger the weighted comprehensive attribute value is, the better the state of the electromagnetic voltage transformer is; if the reference sequence is the worst value data column, the smaller the weighted comprehensive attribute value is, the better the state of the electromagnetic voltage transformer is.

[0008] In some embodiments, the decision standard is constructed through an attribute set C j (j = 1,..., 5), wherein C1 represents infrared temperature measurement, C2 represents insulation resistance, C3 represents AC withstand voltage test and partial discharge test, C4 represents no-load current measurement and winding DC resistance measurement, and C5 represents joint group and polarity and voltage ratio.

[0009] In some embodiments, the dimensionless data matrix is obtained according to the test result and the grey correlation method evaluation index system, comprising: recording the scheme set as A i(i = 1, 2, 3), the scheme set includes scheme 4 (1≤i≤3), namely, scheme A1, scheme A2 and scheme A3, corresponding to three phases of the electromagnetic voltage transformer respectively; the designated index discrete point is fitted with the score function corresponding to the score, the original data is substituted into the score function, and a dimensionless data matrix is obtained.

[0010] In some embodiments, a correlation coefficient of each data in the dimensionless data matrix and a corresponding element of a reference sequence is calculated, and a correlation coefficient matrix is constructed, including: calculating the absolute value difference |x0(j)-x i (j) of each scheme set dimensionless score and the corresponding element of the reference sequence {x0(j)} one by one, and determining and The correlation coefficient of each data in the dimensionless data matrix and the corresponding element of the reference sequence is calculated, and a correlation coefficient matrix is constructed, wherein the calculation formula of the correlation coefficient is as follows:

[0011]

[0012] Wherein, m = 5, n = 3, and ρ is a resolution coefficient, which is taken as a value within (0, 1). The smaller ρ is, the greater the difference between the correlation coefficients is, and the stronger the distinguishing ability is.

[0013] In some embodiments, a weighted correlation coefficient matrix is constructed according to the attribute weight of the correlation coefficient matrix, and a weighted comprehensive attribute value of each phase electromagnetic voltage transformer is calculated, including: according to the attribute weight ω ij And the correlation coefficient matrix R is constructed into a weighted correlation coefficient matrix R' according to the following formula:

[0014]

[0015] The weighted comprehensive attribute value of each scheme A i (1≤i≤3) is calculated according to the following formula:

[0016]

[0017] Wherein, ω ij represents the weight of scheme A i relative to attribute C j .

[0018] In some embodiments, according to the size ordering of the weighted comprehensive attribute value of each phase electromagnetic voltage transformer and the reference sequence selection, the ordering result is judged, including: the size comparison of z i (i = 1, 2, 3) is obtained to obtain the ordering results of scheme A1, scheme A2 and scheme A3; according to the reference sequence selection, the running state of the electromagnetic voltage transformer is judged.

[0019] In a second aspect, an embodiment of the present application provides an electronic device, comprising a memory and a processor, the memory storing a computer program, and the processor being configured to execute the computer program to perform the method of any of the above.

[0020] In a third aspect, an embodiment of the present application provides a storage medium, the storage medium storing a computer program, wherein the computer program is configured to perform the method of any of the above when executed.

[0021] Compared with the related art, the embodiment of the present application comprehensively considers the characteristic parameter information of the electromagnetic voltage transformer instead of a single information for evaluation, and the evaluation result is more accurate. The evaluation combination of the grey correlation method and the analytic hierarchy process can prevent missing any statistical information and loss of information in the middle, quantize the qualitative indexes, and effectively solve the deviation of the objective reality caused by the deterministic evaluation such as "yes" or "no". The device manager can determine the priority of the maintenance under the condition of time and fund constraints according to the final ranking, can achieve targeted maintenance, greatly improves the timeliness of the maintenance, and improves the device management efficiency. At the same time, for the targeted necessary maintenance, the economic cost of the device maintenance can be reduced. BRIEF DESCRIPTION OF DRAWINGS

[0022] The accompanying drawings, which are included to provide a further understanding of the present application, constitute a part of the specification and illustrate the illustrative embodiments of the present application and the description thereof, and are used to explain the present application, and do not limit the present application. In the drawings:

[0023] Figure 1 is a flowchart of the comprehensive evaluation method of the electromagnetic voltage transformer according to the embodiment of the present application;

[0024] Figure 2 is a flowchart of the comprehensive evaluation method of the electromagnetic voltage transformer according to the embodiment of the present application;

[0025] Figure 3 is a schematic diagram of the analytic hierarchy process ladder level structure according to the embodiment of the present application;

[0026] Figure 4 is a schematic diagram of the internal structure of the electronic device according to the embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and explained below in connection with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application. Based on the embodiments provided by the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of the present application. In addition, it can be understood that, although the efforts made in this development process can be complex and lengthy, some design, manufacture or production changes made on the basis of the technical content disclosed in the present application are only routine technical means for those of ordinary skill in the art related to the content disclosed in the present application, and should not be understood as insufficient disclosure of the present application.

[0028] In the present application, the term "embodiment" means that the specific features, structures or properties described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment to other embodiments. Those of ordinary skill in the art explicitly and implicitly understand that the embodiments described in the present application can be combined with other embodiments without conflict.

[0029] Unless otherwise defined, the technical terms or scientific terms involved in the present application should be understood as the usual meaning understood by those of ordinary skill in the art to which the present application belongs. The terms "one", "a", "an", "the" and the like similar words involved in the present application do not represent quantity limitation, but can represent singular or plural. The terms "include", "contain", "have" and any variations thereof involved in the present application are intended to cover non-exclusive inclusion; for example, a process, method, system, product or device including a series of steps or modules (units) is not limited to the listed steps or units, but can also include steps or units not listed, or can also include other steps or units inherent to these processes, methods, products or devices. The terms "connected", "connected", "coupled" and the like similar words involved in the present application are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. The term "multiple" in the present application means greater than or equal to two. The term "and / or" describes the association between the associated objects, which means that there can be three relationships, for example, "A and / or B" can mean that A exists alone, A and B exist together, and B exists alone. The terms "first", "second", "third" and the like in the present application are only to distinguish similar objects, and do not represent a specific order for the objects.

[0030] Figure 1 is a flow chart of the comprehensive evaluation method of the electromagnetic voltage transformer according to the embodiments of the present application, asFigure 1 As shown in the figure, the flow includes the following steps:

[0031] S101: Set the three-phase configuration scheme of the electromagnetic voltage transformer, and obtain the decision information of each phase according to the preset decision standard;

[0032] S102: Construct a grey correlation method evaluation index system, and obtain a dimensionless data matrix according to the test results and the grey correlation method evaluation index system;

[0033] S103: Determine whether there is a “failure” in the dimensionless data matrix, if yes, the state of the corresponding phase of the electromagnetic voltage transformer is “unqualified”; if not, calculate the dimensionless data matrix according to the reference sequence, obtain the evaluation result, and determine the priority of the maintenance.

[0034] In order to more clearly illustrate the embodiments of the present application, the complete flow is described below by way of example, wherein step S101 includes step S201; step S102 includes steps S202-S203; and step S103 includes steps S204-S209.

[0035] Figure 2 The flow chart of the comprehensive evaluation method of the electromagnetic voltage transformer according to the example of the embodiments of the present application is shown in FIG. 1. Figure 2 As shown in the figure, the flow includes:

[0036] S201: Determine the decision standard, set the A, B, and C three-phase configuration scheme of the electromagnetic voltage transformer, and obtain the decision information of each phase according to the decision standard.

[0037] Suppose {A i |i=1, 2, …, n} is a set of schemes to be decided, in the embodiments of the present application, n takes the value of 3, the A, B, and C three-phase configuration scheme of the electromagnetic voltage transformer is set as the set of schemes to be decided, denoted as A i (i=1, 2, 3), that is, the scheme set includes scheme A1, scheme A2, and scheme A3.

[0038] The above decision standard is constructed by the attribute set {C j |j=1, 2, …m} (m≥2), for example, m takes 5 here, C1 represents infrared temperature measurement, C2 represents insulation resistance, C3 represents AC withstand voltage test and partial discharge test, C4 represents no-load current measurement and winding DC resistance measurement, and C5 represents connection group and polarity, voltage ratio, as shown in Table 1 below:

[0039] Table 1 is the decision standard

[0040] [C1] Infrared temperature measurement [C2] Insulation resistance [C3] AC voltage withstand test, partial discharge test [C4] No-load current measurement, winding DC resistance measurement [C5] Connection group and polarity, voltage ratio

[0041] S202: Construct a grey correlation method evaluation index system, specifically as follows:

[0042] The judgment basis of each decision criterion is shown in Table 2 as follows:

[0043] Table 2 is the judgment basis of each decision criterion

[0044]

[0045]

[0046]

[0047] Since the units of each index of the attribute set are different, it cannot be directly used to calculate the comprehensive score, and it is necessary to specify a scoring standard for each index to unify the dimension of the original data. The correspondence between the specified index discrete points and scores is shown in Table 3:

[0048] Table 3 is the judgment basis and score correspondence table of the decision criterion

[0049]

[0050] According to the correspondence between the index discrete points and scores in Table 3, a scoring function is fitted according to the correspondence between the index discrete points and scores by using a related data processing software such as OriginLab. Among them, C1 infrared temperature measurement, C4 no-load current measurement, winding DC resistance measurement, no-load current and same batch, same type phase difference and secondary winding DC resistance compared with factory, C5 connection group and polarity, voltage ratio adopt a cubic function for fitting; C2 insulation resistance, C3 AC voltage withstand test, partial discharge test, C4 no-load current measurement, winding DC resistance measurement, primary winding DC resistance compared with factory, adopt a linear function for fitting. The scoring functions of each index are shown in Table 4:

[0051] Table 4 is the scoring function of each index

[0052]

[0053]

[0054] S203: According to the test results and judgment basis, the dimensionless data matrix is obtained by referring to Table 4 in step S202.

[0055] S204: Determine whether "fail" appears in the dimensionless data matrix. If yes, go to step S205; if no, go to step S206.

[0056] S205: The status of the phase voltage transformer is "unqualified", and it should be immediately repaired.

[0057] S206: According to the dimensionless data matrix and the reference sequence {x0(j)}, the absolute value difference |x0(j)-x of each dimensionless data of each scheme set and the corresponding element of the reference sequence {x0(j)} is calculated one by one, and the difference is determined i (j)|, and determine and Here, m is 5, and n is 3.

[0058] S207: According to the following formula (1), the correlation coefficient of each data in the dimensionless data matrix and the corresponding element of the reference sequence is calculated, and a correlation coefficient matrix is constructed, wherein formula (1) is as follows:

[0059]

[0060] In the formula, p is a resolution coefficient, which is taken within (0, 1), if p is smaller, the difference between the correlation coefficients is larger, and the distinguishing ability is stronger, generally p=0.5.

[0061] S208: The state evaluation index and parameter of the electromagnetic voltage transformer that meet the consistency test are refined by the analytic hierarchy process, and the attribute weight of each parameter is calculated. According to the attribute weight, a weighted correlation coefficient matrix is constructed, and the weighted comprehensive attribute value of each phase electromagnetic voltage transformer is calculated.

[0062] This step needs to determine the attribute weight based on the analytic hierarchy process, Figure 3 is a hierarchical structure diagram of the analytic hierarchy process according to the embodiment of the application, as Figure 3 shown, a hierarchical structure is established, the target layer includes electromagnetic voltage transformer evaluation; the measurement layer includes C1 infrared temperature measurement, C2 insulation resistance, C3 AC withstand voltage test, partial discharge test, C4 no-load current measurement, winding DC resistance measurement, C5 joint group and polarity, voltage ratio; the scheme layer includes scheme A1, scheme A2 and scheme A3, which correspond to the A, B and C three phases of the electromagnetic voltage transformer in turn. Then, a judgment matrix is constructed, according to the two-by-two comparison judgment scale shown in Table 5 below, the total target A judgment matrix and its calculation results are listed, and then the attribute weight ωij can be obtained. A unified attribute weight can be used to evaluate different phases of the electromagnetic voltage transformer:

[0063] Table 5 is a two-by-two comparison judgment scale

[0064]

[0065]

[0066] According to the attribute weight ω ij and the following formula (2), the correlation coefficient matrix R is constructed into a weighted correlation coefficient matrix R':

[0067]

[0068] S209: Calculate A for each scheme according to the following formula (3). i The weighted composite attribute value z of (1≤i≤3) i (i = 1, 2, 3):

[0069]

[0070] Where, ω ij Scheme A i Relative to attribute C j The weight.

[0071] By analyzing z i By comparing the sizes of (i = 1, 2, 3), we obtain the sorting results of schemes A1, A2, and A3.

[0072] If the reference sequence {x0(j)} is the optimal value data column, ζ i (j) should be as large as possible; if the reference sequence {x0(j)} is the worst-case data sequence, ζ i (j) The smaller the better. Thus, the ranking of the merits of schemes A1, A2, and A3 can be obtained, and the priority of maintenance can be determined.

[0073] Based on the above method, the solution of this application embodiment can more comprehensively, intuitively, holistically and accurately evaluate electromagnetic voltage transformers and provide clear maintenance opinions for the maintenance of electromagnetic voltage transformers.

[0074] To provide a more detailed description of the embodiments of this application, more detailed examples are described below.

[0075] 1) Conduct a condition assessment of the electromagnetic voltage transformer in a power plant, and construct a set of schemes for the three phases A, B, and C of the electromagnetic voltage transformer, denoted as A. i (i = 1, 2, 3), each phase of the split-type transformer was inspected according to the decision criteria, and the test results of its characteristic parameters are shown in the table below:

[0076] Table 6 shows the test results of characteristic parameters of each phase attribute of the electromagnetic voltage transformer.

[0077]

[0078] 2) Based on the experimental results (i.e., the test results in Table 6) and the scoring functions of each index (see Table 4), the dimensionless data matrix is ​​obtained, as shown in Table 7 below:

[0079] Table 7 shows the dimensionless data matrix.

[0080] Scheme [C1] [C2] [C3] [C4] [C5] Phase A 100 91.67 25 100 100 Phase B 100 100 53.75 100 100 Phase C 100 100 63.75 100 100

[0081] 3) In this embodiment, no "fail" appears in the dimensionless data matrix. Therefore, according to the dimensionless data matrix and the reference sequence {x0(j)}, the absolute value difference between the dimensionless score of each scheme set and the corresponding element of the reference sequence {x0(j)} is calculated one by one, and the minimum value is determined as follows: and

[0082] In this embodiment, the reference sequence {x0(j)} is selected as the optimal value {x0} = {100, 100, 63.75, 100, 100}, and the absolute value difference between the dimensionless score and the corresponding element of the reference sequence {x0(j)} is calculated one by one. i (j).

[0083] Table 8 is the absolute value difference

[0084] Scheme [C2] [C2] [C3] [C4] [C5] Phase A 0 8.33 38.75 0 0 Phase B 0 0 10 0 0 Phase C 0 0 0 0 0

[0085] The maximum value is as follows:

[0086]

[0087]

[0088] 5) According to the above formula (1), the correlation coefficient of each data in the dimensionless data matrix and the corresponding element of the reference sequence is calculated, and the correlation coefficient matrix R is constructed. The resolution coefficient p is 0.5. For details of the correlation coefficient matrix R, please see Table 9:

[0089] Table 9 is the correlation coefficient matrix R

[0090]

[0091]

[0092] 6) Based on the analytic hierarchy process, the attribute weight is determined. According to the two-by-two comparison judgment scale shown in Table 5 above, the total target A judgment matrix and its calculation results are listed as shown in Table 10 below:

[0093] Table 10 is the total target A judgment matrix and its calculation results

[0094]

[0095] Further, the attribute weight ω ij As shown in Table 11, in Table 11, ω 1j = ω 2j = ω 3j , that is, a unified attribute weight is used to evaluate different phases of electromagnetic voltage transformers:

[0096] Table 11 is the attribute weight ω based on the analytic hierarchy process ij

[0097] jj ]]> ​ [C1] [C2] [C3] [C4] [C5] [A1] 0.1985 0.0453 0.5964 0.0799 0.0799 [A2] 0.1985 0.0453 0.5964 0.0799 0.0799 [A3] 0.1985 0.0453 0.5964 0.0799 0.0799

[0098] According to the attribute weight ω based on the analytic hierarchy process in Table 11 ij According to the above formula (2), the correlation coefficient matrix R is constructed into a weighted correlation coefficient matrix R', as shown in Table 12:

[0099] Table 12 is the weighted correlation coefficient matrix R'

[0100] R′ [C1] [C2] [C3] [C4] [C5] [A1] 0.1985 0.0317 0.1988 0.0799 0.0799 [A2] 0.1985 0.0453 0.3934 0.0799 0.0799 [A3] 0.1985 0.0453 0.5964 0.0799 0.0799

[0101] According to the above formula (3), the weighted comprehensive attribute value z of each scheme A i (1≤i≤3) is calculated i (i=1, 2, 3):

[0102] Z1=0.1178, Z2=0.1594, Z3=0.2000.

[0103] 7) By comparing the size of the weighted comprehensive attribute value z i , z3> Z2> Z1, the reference sequence {x0(j)} of the embodiment is the optimal value data column, and the weighted comprehensive attribute value z i is far better, so A3 is the optimal decision, that is, the C-phase state of the electromagnetic voltage transformer is optimal; the B-phase is second; the A-phase state is the worst, and should be repaired first. Therefore, the repair priority order is A-phase, B-phase, and C-phase.

[0104] In summary, the embodiment of the present application provides a comprehensive evaluation scheme for the electromagnetic voltage transformer, which comprehensively considers the electromagnetic voltage transformer characteristic parameter information instead of single information for evaluation, and the evaluation result is more accurate. The evaluation system covers 5 determination standards, and the evaluation is more comprehensive. The combination of the analytic hierarchy process and the grey correlation method can prevent missing any statistical information and information loss in the middle, quantize the qualitative indexes, effectively solve the deviation of the objective reality caused by the certainty evaluation such as "yes" or "no", and greatly improve the economy and management level of equipment repair.

[0105] It should be noted that the specific examples in the embodiment can refer to the examples described in the above embodiments and optional implementation manners, and the embodiment will not be repeated here.

[0106] In addition, in combination with the electromagnetic voltage transformer comprehensive evaluation method in the above-mentioned embodiments, an embodiment of the present application can provide a storage medium for implementation. The storage medium has a computer program stored thereon; the computer program is executed by a processor to implement any one of the electromagnetic voltage transformer comprehensive evaluation methods in the above-mentioned embodiments.

[0107] In an embodiment of the present application, an electronic device is also provided, which can be a terminal. The electronic device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. The processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The network interface of the electronic device is configured to communicate with external terminals through network connections. The computer program is executed by the processor to implement an electromagnetic voltage transformer comprehensive evaluation method. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen. The input device of the electronic device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the housing of the electronic device, or an external keyboard, touchpad or mouse, etc.

[0108] In an embodiment, Figure 4 is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application, as Figure 4 indicated, an electronic device is provided, which can be a server, and the internal structure diagram thereof can be as Figure 4 indicated. The electronic device includes a processor, a network interface, an internal memory and a non-volatile memory connected through an internal bus, wherein the non-volatile memory stores an operating system, a computer program and a database. The processor is configured to provide computing and control capabilities, the network interface is configured to communicate with external terminals through network connections, the internal memory is configured to provide an environment for the operating system and the computer program to run, the computer program is executed by the processor to implement an electromagnetic voltage transformer comprehensive evaluation method, and the database is configured to store data.

[0109] Those skilled in the art can understand that Figure 4 the structure shown in the above-mentioned embodiments is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. Specifically, the electronic device can include more or fewer components than those shown in the diagram, or combine certain components, or have a different arrangement of components.

[0110] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiment methods. Any reference to memory, storage, database or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0111] Those skilled in the art should understand that each technical feature of the above-mentioned embodiments can be combined arbitrarily, and in order to make the description simple, not all possible combinations of each technical feature in the above-mentioned embodiments are described, however, as long as the combination of these technical features does not exist contradictory, it should be considered as the scope of the present application.

[0112] The above-mentioned embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of the present application. Therefore, the scope of protection of the patent of the present application should be subject to the appended claims.

Claims

1. A comprehensive evaluation method of electromagnetic voltage transformers, characterized by, Comprise: The three-phase constitution scheme of the electromagnetic voltage transformer is set, and the decision information of each phase is obtained according to preset decision criteria; wherein the decision criteria is obtained through attribute set C j j =1,…,5) is constructed, wherein, C 1 represents infrared temperature measurement, C 2 represents insulation resistance, C 3 represents AC voltage withstand test and partial discharge test, C 4 represents no-load current measurement and winding DC resistance measurement, C 5 represents joint group and polarity, and voltage ratio;​ A grey correlation method evaluation index system is constructed, and a judgment basis of the decision criteria is determined. The scheme set is denoted as Ai (i=1, 2, 3), and the scheme set includes schemes (1≤i≤3), i.e., a scheme A1, a scheme A2, and a scheme A3, which correspond to three phases of the electromagnetic voltage transformer respectively. A designated index discrete point and a score corresponding relationship are fitted to obtain a scoring function. The original data are substituted into the scoring function to obtain a dimensionless data matrix. Wherein, C 1. Infrared temperature measurement, C 4. In the no-load current measurement and winding DC resistance measurement, the no-load current and the phase difference of the same batch and the same type are compared with the secondary winding DC resistance and the factory, and the primary winding DC resistance is compared with the factory by using a one-dimensional cubic function fitting; C 5. The connection group and polarity, voltage ratio are fitted by using a one-dimensional cubic function; C 2. Insulation resistance, C 3. AC voltage test, partial discharge test, C 4. In the no-load current measurement and winding DC resistance measurement, the no-load current and the phase difference of the same batch and the same type are compared with the secondary winding DC resistance and the factory, and the primary winding DC resistance is compared with the factory by using a one-dimensional cubic function fitting; Wherein, based on the analytic hierarchy process to determine the attribute weight, establish hierarchical structure, target layer includes electromagnetic voltage transformer evaluation; Quasi measurement layer includes C 1 infrared temperature measurement, C 2 insulation resistance, C 3 AC voltage test, partial discharge test, C 4 no-load current measurement, winding DC resistance measurement, C 5 connection group and polarity, voltage ratio; scheme layer includes scheme A1, scheme A2 and scheme A3, in turn corresponding to electromagnetic voltage transformer A, B, C three-phase; construct judgment matrix, according to the two two comparison judgment scale, list the total target A judgment matrix and its calculation results, get the attribute weight ωij, using a unified attribute weight to evaluate the different phase of electromagnetic voltage transformer; correlation coefficients of each data in the non-dimensionalized data matrix and the corresponding elements of the reference sequence are calculated to form a correlation coefficient matrix, and according to the attribute weight ω ij and the formula The correlation coefficient matrix R is constructed into a weighted correlation coefficient matrix ; according to the formula The weighted comprehensive attribute value of each scheme A i (1≤i≤3) is calculated i =1,2,3), wherein Determine whether there is a failure in the dimensionless data matrix, if so, the corresponding phase electromagnetic voltage transformer state is unqualified; if not, calculate the dimensionless data matrix according to the reference sequence, obtain the evaluation result, and determine the priority of maintenance. ij indicates the weight of the scheme relative to the attribute ; by comparing the size of i =1,2,3), the ranking results of the scheme A1, the scheme A2 and the scheme A3 are obtained; according to the reference sequence selection, the running state of the electromagnetic voltage transformer is judged;​​ Based on the weighted comprehensive attribute value of each phase electromagnetic voltage transformer, the evaluation result of each phase electromagnetic voltage transformer is calculated, and the evaluation result is sorted, comprising:

2. The method of claim 1, wherein, According to the weighted comprehensive attribute value of each phase electromagnetic voltage transformer and the reference sequence selection, the sorting result is determined; If the reference sequence is the optimal value data column, the larger the weighted comprehensive attribute value, the better the electromagnetic voltage transformer state; if the reference sequence is the worst value data column, the smaller the weighted comprehensive attribute value, the better the electromagnetic voltage transformer state. Calculate the correlation coefficient of each data in the dimensionless data matrix and the corresponding element of the reference sequence, and form a correlation coefficient matrix, comprising:

3. The method of claim 2, wherein, Calculate the correlation coefficient of each data in the dimensionless data matrix and the corresponding element of the reference sequence, and form a correlation coefficient matrix, wherein the calculation formula of the correlation coefficient is as follows: calculating the absolute difference of the non-dimensionalized score of each set of solutions and the corresponding element of the reference sequence {x0(j)} and determining the absolute difference of the non-dimensionalized score of each set of solutions and the corresponding element of the reference sequence {x0(j)} ; Wherein, m=5, n=3, ρ is the resolution coefficient, which is taken in (0, 1), if ρ is smaller, the difference between correlation coefficients is larger, and the distinguishing ability is stronger. j = 1,..., m The memory stores a computer program, and the processor is configured to run the computer program to execute the method of any one of claims 1 to 3.

4. An electronic device comprising a memory and a processor, characterized in that, The storage medium stores a computer program, wherein the computer program is configured to execute the method of any one of claims 1 to 3 when running.

5. A storage medium, characterized by ​

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