Partial discharge measurement analysis method and system

Abstract

The invention provides a partial discharge measurement analysis method and system, and belongs to the technical field of partial discharge measurement, and the method specifically comprises the steps: carrying out the determination of the number of detection time periods according to the operation load of a harmonic abnormal switch cabinet in a reliable cabinet group, determining a detection time period in which a reliable value of a detection result meets a requirement according to coincidence data of the harmonic abnormal switch cabinet and the partial discharge abnormal switch cabinet in the detection time period and a similar condition of partial discharge signals, and taking the detection time period as a target detection time period; according to the invention, the overlapping data of the switch cabinets with abnormal partial discharge in different target detection time periods and other target detection time periods are determined, and the reliable values of the detection results in different target detection time periods are combined to determine the partial discharge detection result of the reliable cabinet group, so that the reliability of partial discharge detection processing is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of partial discharge measurement, and in particular relates to a partial discharge measurement and analysis method and system. Background Art

[0002] Oil companies consume a large amount of electricity during operation, so partial discharge (PD) is unavoidable in power equipment such as transformers, switchgear, and GIS equipment. Therefore, how to detect and handle partial discharge in power equipment has become a technical problem that needs to be solved urgently.

[0003] To solve the above technical problems, existing technical solutions often use partial discharge detection equipment to identify and process abnormal partial discharge signals of power equipment using the detection and analysis results of ground waves or ultrasonic waves during the operation of power equipment. However, there are the following technical problems: Harmonics in the power supply circuit can affect the accuracy of partial discharge (PD) detection results. Furthermore, there are deviations between the power supply circuits in which different switchgear are located. Therefore, how to combine the distribution of harmonic-abnormal switchgear in different power supply circuits and adopt differentiated partial discharge (PD) measurement and analysis strategies for switchgear in different power supply circuits to ensure the reliability of partial discharge (PD) detection results has become a pressing technical issue.

[0004] To solve the above technical problems, the present application provides a partial discharge measurement and analysis method and system. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, this application provides a partial discharge measurement and analysis method, which specifically includes: S1 determines harmonic data of different switchgears under different operating loads based on analysis results of harmonic data of switchgears in the switchgear room, and determines a switchgear with abnormal harmonics among the switchgears based on the harmonic data; S2 divides the switchgear into different switchgear groups based on the power supply circuits of different switchgears, determines the composition data of the switchgear with abnormal harmonics in the switchgear group, and determines the detection reliable cabinet group in the switchgear group based on the composition data of the operating loads of the different switchgear with abnormal harmonics; S3 determines the number of detection periods based on the operating load of the harmonic abnormal switchgear in the detection reliable cabinet group, and determines the detection period in which the reliability value of the detection result meets the requirements based on the coincidence data of the harmonic abnormal switchgear and the partial discharge abnormal switchgear in the detection period and the similarity of the partial discharge signals, and uses the detection period as the target detection period; S4 determines the overlap data of the switch cabinets with abnormal partial discharge in different target detection periods and other target detection periods, and determines the partial discharge detection result of the reliable detection cabinet group in combination with the reliability values ​​of the detection results in different target detection periods.

[0006] The beneficial effects of the present invention are: The number of detection periods is determined based on the harmonic abnormality switchgear in the reliable detection cabinet group and the operating load of the harmonic abnormality switchgear. The impact of the difference in the number of harmonic abnormality switchgear and the operating load in the reliable detection cabinet group on the accuracy of the partial discharge detection results is fully considered. Then, the number of differentiated detection periods is generated based on the impact on the accuracy, which improves the reliability of the partial discharge detection process while ensuring the efficiency of the partial discharge detection process.

[0007] The partial discharge detection results of the reliable detection cabinet group are determined by utilizing the overlap data of partial discharge abnormal switch cabinets in different detection time periods with those in other detection time periods and the reliability values ​​of the detection results in different detection time periods. Taking into account the overlap of partial discharge abnormal switch cabinets in other detection time periods and the reliability of the detection results, an accurate assessment of the probability of partial discharge abnormalities in different partial discharge abnormal switch cabinets is achieved from multiple angles, thereby improving the accuracy and reliability of the determination of the partial discharge detection results.

[0008] A further technical solution is that the operating load is divided into different operating load intervals in a manner that the switch cabinet is divided at equal intervals.

[0009] A further technical solution is that the harmonic data includes the harmonic content of the switchgear in different operating load ranges.

[0010] A further technical solution is that the method for determining the switch cabinet with abnormal harmonics in the switch cabinet is: Determining harmonic content in different operating load ranges based on the analysis results of the harmonic data; determining a harmonic abnormal load interval in the operating load interval according to the harmonic content; Based on historical operating data in a harmonic abnormal load range, it is determined whether the switchgear is a harmonic abnormal switchgear.

[0011] A further technical solution is that the detection period is a period when the operating load of the harmonic abnormality switchgear is less than a preset operating load threshold, which can be specifically determined based on the period when the average of the historical operating load of the harmonic abnormality switchgear is less than the preset operating threshold.

[0012] A further technical solution is that the method for determining the number of detection periods is: The proportion of the switch cabinets with abnormal harmonics in the detection reliable cabinet group is used as the abnormal harmonic proportion; Determine the load change switchgear in different detection periods based on the historical operating load changes of different harmonic abnormal switchgears during the detection period; The number of detection periods is determined based on the number of detection periods for switchgear with load changes and the proportion of harmonic anomalies.

[0013] In a second aspect, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned partial discharge measurement and analysis method when running the computer program.

[0014] Other features and advantages will be described in the following description, and in part will become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0015] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings.

[0017] Figure 1 It is a flow chart of a partial discharge measurement and analysis method; Figure 2 is a flow chart of a method for determining a switchgear having abnormal harmonics in a switchgear; Figure 3 is a flow chart of a method for determining a reliable detection cabinet group in a switch cabinet group; Figure 4 is a flow chart of a method for determining the number of detection periods; Figure 5 Schematic diagram of a computer system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0019] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a partial discharge measurement and analysis method is provided, which specifically includes: S1 determines harmonic data of different switchgears under different operating loads based on analysis results of harmonic data of switchgears in the switchgear room, and determines a switchgear with abnormal harmonics among the switchgears based on the harmonic data; Furthermore, the operating load is divided into different operating load intervals according to the equal-interval division of the switch cabinet.

[0020] Specifically, the harmonic data includes the harmonic content of the switchgear in different operating load ranges.

[0021] It should be noted that if Figure 2 As shown, the method for determining the switch cabinet with abnormal harmonics in the switch cabinet is: Determining harmonic content in different operating load ranges based on the analysis results of the harmonic data; determining a harmonic abnormal load interval in the operating load interval according to the harmonic content; Based on historical operating data in a harmonic abnormal load range, it is determined whether the switchgear is a harmonic abnormal switchgear.

[0022] In one possible embodiment, the abnormal harmonic load interval is an operating load interval in which the harmonic content is greater than a preset content threshold.

[0023] Specifically, when the historical operating time in the harmonic abnormal load range is too long, which can be determined by the proportion of the historical operating time or the relationship between the historical operating time and the threshold, the switchgear is determined to be a harmonic abnormal switchgear.

[0024] In another embodiment, the method for determining the switchgear with abnormal harmonics in the switchgear is: Determining harmonic content in different operating load ranges based on the analysis results of the harmonic data; determining a harmonic abnormal load interval in the operating load interval according to the harmonic content; Based on the number of the abnormal harmonic load intervals, it is determined whether the switchgear is a harmonic abnormal switchgear.

[0025] In a possible embodiment, when the number of harmonic abnormal load intervals of the switchgear is large, for example, greater than a certain number of intervals, the switchgear is determined to be a harmonic abnormal switchgear.

[0026] S2 divides the switchgear into different switchgear groups based on the power supply circuits of different switchgears, determines the composition data of the switchgear with abnormal harmonics in the switchgear group, and determines the detection reliable cabinet group in the switchgear group based on the composition data of the operating loads of the different switchgear with abnormal harmonics; Furthermore, the switch cabinets are divided into different switch cabinet groups, specifically including: Divide the switchgear using the same power supply circuit into the same switchgear group.

[0027] Specifically, the composition data of the harmonic abnormality switchgear includes the number and proportion of the harmonic abnormality switchgear in the power supply circuit.

[0028] Specifically, such as Figure 3 As shown, the method for determining the reliable detection cabinet group in the switch cabinet group is: Determining the composition ratio of the switch cabinets with abnormal harmonics in the switch cabinet group based on the composition data of the switch cabinets with abnormal harmonics in the switch cabinet group; Determining the operating load proportion of the harmonic abnormal switchgear in the switchgear group based on the composition data of the operating load of the harmonic abnormal switchgear in the switchgear group; According to the proportion of the number of components and the proportion of the operating load, it is determined whether the switch cabinet group is a detection reliable cabinet group.

[0029] Specifically, when the proportion of the number of components cannot meet the requirements, it can be determined that the switch cabinet group does not belong to the detection reliable cabinet group. When the proportion of the number of components meets the requirements, it is also necessary to determine whether the proportion of the number of time periods in which the operating load proportion does not meet the requirements is greater than the preset time period proportion threshold. When it is greater than the preset time period proportion threshold, it is determined that the switch cabinet group does not belong to the detection reliable cabinet group. Whether the requirements are met can be determined by means of a threshold. Specifically, when it is greater than the threshold, the requirements are not met.

[0030] In a possible embodiment, if the switch cabinet group does not belong to the detection reliable cabinet group, the partial discharge detection process of the switch cabinet group can be performed only when the harmonic content corresponding to the switch cabinet group is less than the preset harmonic content.

[0031] Specifically, even when the harmonic content is less than the preset harmonic content, if the switch cabinet with abnormal partial discharge detection results coincides with the switch cabinet with abnormal harmonics in the switch cabinet group, the partial discharge detection results of the switch cabinets in the switch cabinet group are difficult to meet the requirements.

[0032] Optionally, a method for determining a reliable detection cabinet group in the switch cabinet group is: S21 determines the composition ratio of the switch cabinets with abnormal harmonics in the switch cabinet group based on the composition data of the switch cabinets with abnormal harmonics in the switch cabinet group, and determines the number of the switch cabinets with abnormal harmonics in the switch cabinet group; It should be noted that, in a possible embodiment, if the proportion of the number of harmonic abnormal switch cabinets in the switch cabinet group or the number of harmonic abnormal switch cabinets does not meet the requirements, it is determined that the switch cabinet group does not belong to the detection reliable cabinet group.

[0033] Specifically, when the proportion of the number of constituent elements and the number of harmonic abnormal switch cabinets do not meet the requirements, then when the harmonic content is less than the preset harmonic content, if the switch cabinet with abnormal partial discharge detection results coincides with the harmonic abnormal switch cabinet in the switch cabinet group, then the partial discharge detection results of the switch cabinets in the switch cabinet group are difficult to meet the requirements.

[0034] At the same time, if any one of the proportion of the number of constituent elements and the number of harmonic abnormal switch cabinets does not meet the requirements, then when the harmonic content is less than the preset harmonic content, if the number of switch cabinets with abnormal partial discharge detection results and the number of harmonic abnormal switch cabinets in the switch cabinet group do not meet the requirements, then the partial discharge detection results of the switch cabinets in the switch cabinet group are difficult to meet the requirements, and whether the requirements are met is determined by whether it is greater than the threshold.

[0035] In a possible embodiment, when the number of overlaps is more than 3, it is determined that the partial discharge detection results of the switch cabinets in the switch cabinet group are difficult to meet the requirements.

[0036] S22: determining the operating load proportion of the harmonic abnormal switchgear in the switchgear group based on the operating load composition data of the harmonic abnormal switchgear in the switchgear group, and determining the load proportion abnormal period in the switchgear group based on the operating load proportion; Furthermore, the load proportion abnormal period is a period when the operating load proportion is greater than the load proportion threshold. When there is no load proportion abnormal period in the switch cabinet group, it is determined that the switch cabinet group belongs to a detection reliable cabinet group.

[0037] It should also be noted that when there are periods of abnormal load proportion, if the number of periods of abnormal load proportion is large, that is, greater than the threshold, since the proportion of the operating load of the harmonic abnormal switch cabinet is too large, it can be directly determined that the switch cabinet group does not belong to the detection reliable cabinet group.

[0038] Even if the number of periods with abnormal load proportion is not greater than the threshold, if the number of periods with abnormal load proportion is greater than 0.1, it can be determined that it does not belong to a reliable detection cabinet group due to the low degree of interference. When the harmonic content is less than the preset harmonic content, if the number of switch cabinets with abnormal partial discharge detection results and the number of switch cabinets with abnormal harmonics in the switch cabinet group do not meet the requirements, the partial discharge detection results of the switch cabinets in the switch cabinet group are difficult to meet the requirements, and whether the requirements are met is determined by whether it is greater than the threshold.

[0039] S23 determines whether the switch cabinet group is a reliable cabinet group according to the proportion of the number of components, the number of switch cabinets with abnormal harmonics, and the proportion of the number of abnormal load proportion periods.

[0040] In a possible embodiment, the switch cabinet abnormality value is determined by multiplying the number ratio of the constituent number and the number of harmonic abnormal switch cabinets, and the harmonic interference value is determined by multiplying the switch cabinet abnormality value and the number ratio of the load ratio abnormal period. When the harmonic interference value is greater than a preset threshold, it is determined that it does not belong to the detection reliable cabinet group.

[0041] It should also be noted that if the harmonic interference value is greater than a preset threshold, it also includes a first threshold and a second threshold. When it is greater than the first threshold, when the harmonic content is less than the preset harmonic content, if the switch cabinet with abnormal partial discharge detection results coincides with the harmonic abnormal switch cabinet in the switch cabinet group, then the partial discharge detection results of the switch cabinets in the switch cabinet group are difficult to meet the requirements. When it is greater than the second threshold, when the harmonic content is less than the preset harmonic content, if the switch cabinet with abnormal partial discharge detection results coincides with the number of harmonic abnormal switch cabinets in the switch cabinet group that does not meet the requirements, then the partial discharge detection results of the switch cabinets in the switch cabinet group are difficult to meet the requirements. Whether the requirements are met is determined by whether it is greater than the threshold.

[0042] S3 determines the number of detection periods based on the operating load of the harmonic abnormal switchgear in the detection reliable cabinet group, and determines the detection period in which the reliability value of the detection result meets the requirements based on the coincidence data of the harmonic abnormal switchgear and the partial discharge abnormal switchgear in the detection period and the similarity of the partial discharge signals, and uses the detection period as the target detection period; Furthermore, the detection period is a period when the operating load of the harmonic abnormality switchgear is less than a preset operating load threshold, which can be specifically determined based on a period when the average of the historical operating load of the harmonic abnormality switchgear is less than a preset operating threshold.

[0043] Specifically, such as Figure 4 As shown, the method for determining the number of detection periods is: The proportion of the switch cabinets with abnormal harmonics in the detection reliable cabinet group is used as the abnormal harmonic proportion; Determine the load change switchgear in different detection periods based on the historical operating load changes of different harmonic abnormal switchgears during the detection period; The number of detection periods is determined based on the number of detection periods for switchgear with load changes and the proportion of harmonic anomalies.

[0044] Specifically, in a possible embodiment, the load-changing switchgear is a harmonic-abnormal switchgear in which the proportion of the number of detection moments at which the deviation from the average value of the historical operating load of the harmonic-abnormal switchgear in the detection period is greater than the preset deviation does not meet the requirements. Specifically, when the proportion of the number of detection moments at which the deviation from the average value of the historical operating load of the harmonic-abnormal switchgear in the detection period is greater than the preset deviation is greater than the proportion of the number in the preset time period, the harmonic-abnormal switchgear is determined to be a load-changing switchgear.

[0045] It should also be noted that the basic demand quantity of the detection period is first determined by multiplying the proportion of harmonic anomalies by a preset proportional factor. The load change value is determined based on the average proportion of the number of load change switch cabinets in different detection periods. The compensation demand quantity is determined by multiplying the load change value by the basic demand quantity. The number of detection periods is determined based on the sum of the compensation demand quantity and the basic demand quantity.

[0046] In another possible embodiment, the method for determining the number of detection periods is: S31: taking the proportion of the switch cabinets with abnormal harmonics in the detection reliable cabinet group as the abnormal harmonic proportion; In a possible embodiment, if the harmonic anomaly in the above steps accounts for a large proportion, that is, greater than a certain threshold, then for the reliability of the detection process, the number of detection periods can be determined by a fixed preset number of detection periods.

[0047] It should also be noted that even if the proportion of harmonic anomalies is not greater than a certain threshold, if the number of harmonic abnormality switch cabinets in the reliable cabinet group is greater than the threshold number of abnormal switch cabinets, in order to ensure the reliability of the detection process, the number of detection time periods can be determined by a fixed preset number of detection time periods.

[0048] S32 determines the load-changing switchgear in different detection periods based on the historical operating load changes of different harmonic abnormal switchgears in the detection period, and determines the load change values ​​in different detection periods based on the proportion of the load-changing switchgears in different detection periods; It should also be noted that when there is no load change switchgear in different detection periods, the basic demand quantity of the detection period is determined according to the product of the harmonic abnormality proportion and the preset proportional factor, and the basic demand quantity is used as the quantity of the detection period.

[0049] Furthermore, if there is a detection period with a load-changing switch cabinet, the proportion of the number of load-changing switch cabinets in different detection periods is obtained. When the proportion of the number of load-changing switch cabinets in different detection periods is relatively small, specifically in a possible embodiment, if it is less than 0.1, the number of detection periods can be determined by a fixed preset number of detection periods.

[0050] In another embodiment, if the number of load change switch cabinets accounts for a large number of detection periods that is not less than a threshold, that is, it is greater than a certain threshold of the number of detection periods, then for the reliability of the detection processing, the number of detection periods can be determined by a fixed preset number of detection periods.

[0051] S33 determines the number of detection periods according to the load variation values ​​and harmonic anomaly proportions in different detection periods.

[0052] In a possible embodiment, the number of detection periods can be determined by multiplying the product of load variation values ​​in different detection periods by the product of the basic demand number to determine the compensation demand number, and the number of detection periods can be determined by summing the compensation demand number and the basic demand number.

[0053] Specifically, the partial discharge abnormal switchgear is a switchgear whose partial discharge amount is greater than a preset partial discharge amount threshold.

[0054] Furthermore, the method for determining the reliability value of the detection result of the detection period is: Based on the overlap data of the harmonic abnormal switchgear and the partial discharge abnormal switchgear in the detection period, determining the proportion of the harmonic abnormal switchgear belonging to the partial discharge abnormal switchgear, and using the proportion as the overlap ratio; Determining deviations of time sequence characteristics of the partial discharge signals of the different partial discharge abnormal switch cabinets according to similarities of the partial discharge signals of the different partial discharge abnormal switch cabinets, and determining similar switch cabinets among the partial discharge abnormal switch cabinets based on the deviations; Based on the similar switch cabinets and the overlap ratio, a reliability value of the detection result in the detection period is determined.

[0055] In a possible embodiment, determining a reliability value of the detection result of the detection period based on the similar switch cabinets and the overlap ratio specifically includes: An interference value is determined based on the average value of the proportion of the similar switch cabinets in the switch cabinets with abnormal partial discharge and the overlap proportion, and a reliability value of the detection result of the detection period is determined based on the difference between 1 and the interference value.

[0056] It should also be noted that the reliability value ranges from 0 to 1, wherein when the reliability value is greater than a preset reliability value threshold, it is determined that the reliability value of the detection result of the detection period meets the requirement.

[0057] S4 determines the overlap data of the switch cabinets with abnormal partial discharge in different target detection periods and other target detection periods, and determines the partial discharge detection result of the reliable detection cabinet group in combination with the reliability values ​​of the detection results in different target detection periods.

[0058] Specifically, the method for determining the partial discharge detection result of the reliable detection cabinet group is: Determine the number of overlaps between the target detection period and the switch cabinets with partial discharge abnormalities based on overlap data between the target detection period and other target detection periods, and determine a reliable detection period in the target detection period using the overlap number; It should be noted that when the number of overlaps of the partial discharge abnormal switch cabinets in the target detection period in other target detection period is greater than the preset overlap number, the target detection period is determined to be a reliable detection period. Specifically, if the number of occurrences of the partial discharge abnormal switch cabinets in the detection period in other detection period is more than 2, the target detection period is determined to be a reliable detection period.

[0059] When there is no reliable detection period, it is determined that the partial discharge detection result of the reliable detection cabinet group cannot be determined.

[0060] According to whether the partial discharge abnormal switch cabinets in different detection reliable time periods are consistent, the detection reliable time periods are divided into different reliable time period types; It can be understood that when there is no consistent reliable detection period for the switch cabinets with abnormal partial discharge, it is determined that the partial discharge detection results of the reliable detection cabinet group cannot be determined.

[0061] The partial discharge detection result of the detection reliable cabinet group is determined according to the number of detection reliable periods in different reliable period types and the reliability value of the detection result, and the overlap of the detection reliable periods of the partial discharge abnormal switch cabinet with other reliable period types.

[0062] In a possible embodiment, the partial discharge detection result of the reliable cabinet group is determined based on the switch cabinets that belong to the partial discharge abnormal switch cabinets in the detection period of different reliable time period types. Specifically, the switch cabinets that belong to the partial discharge abnormal switch cabinets in the detection period of different reliable time period types are used as the partial discharge detection result of the reliable cabinet group.

[0063] In a possible embodiment, the reliability values ​​of the detection results of different reliable period types are determined based on the number of detection reliable periods in different reliable period types and the sum of the reliability values ​​of the detection results. The partial discharge reliability value of the switch cabinet is determined based on the sum of the reliability values ​​of the detection results of the reliable period types of the switch cabinets that all have partial discharge abnormalities in the detection period. The switch cabinet whose partial discharge reliability value is greater than the preset partial discharge reliability threshold is used as the partial discharge detection result of the detection reliable cabinet group.

[0064] Specifically, the number of detection reliable time periods in different reliable time period types and the reliability values ​​of the detection results are used to determine the sum of the reliability values ​​of the detection results of the detection time periods of different reliable time period types, and the sum is used as the reliability value of the detection results. When the reliability value of the detection result of the reliable time period type with the largest reliability value of the detection result is difficult to meet the requirements, that is, it is less than the preset reliability threshold, the partial discharge detection result of the detection reliable cabinet group cannot be determined.

[0065] In another embodiment, if the detection result reliability value of the reliable time period type with the largest detection result reliability value meets the requirements, and if the deviations between the detection result reliability values ​​of other reliable time period types and the reliable time period type with the largest detection result reliability value are all greater than a preset threshold, then it means that the detection result of the reliable time period type with the largest detection result reliability value is reliable, and therefore the detection result of the reliable time period type with the largest detection result reliability value is used as the partial discharge detection result of the reliable detection cabinet group.

[0066] In other cases, it is determined that the partial discharge abnormal switch cabinet belongs to the reliable period type of the partial discharge abnormal switch cabinet in the detection reliable period in other reliable period types, and its detection result is used as the partial discharge detection result of the detection reliable cabinet group. In other cases, the partial discharge detection result of the detection reliable cabinet group cannot be determined.

[0067] Example 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned partial discharge measurement and analysis method when running the computer program.

[0068] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0069] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0070] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A partial discharge measurement and analysis method, characterized in that: Specifically include: Determining harmonic data of different switchgears under different operating loads based on analysis results of harmonic data of the switchgears in the switchgear room, and determining a switchgear with abnormal harmonics among the switchgears based on the harmonic data; Dividing the switch cabinets into different switch cabinet groups based on their power supply circuits, determining the composition data of the switch cabinets with abnormal harmonics in the switch cabinet group, and determining the detection reliable cabinet group in the switch cabinet group based on the composition data of the operating loads of the different switch cabinets with abnormal harmonics; The number of detection periods is determined based on the operating load of the harmonic abnormal switchgear in the detection reliable cabinet group, and the detection period in which the reliability value of the detection result meets the requirements is determined based on the coincidence data of the harmonic abnormal switchgear and the partial discharge abnormal switchgear in the detection period and the similarity of the partial discharge signals, and the detection period is used as the target detection period; Determine the overlapping data of the partial discharge abnormal switch cabinets in different target detection time periods and other target detection time periods, and determine the partial discharge detection results of the reliable detection cabinet group in combination with the reliability values ​​of the detection results in different target detection time periods.

2. The partial discharge measurement and analysis method according to claim 1, wherein: The operating load is divided into different operating load intervals according to the manner in which the switch cabinet is divided at equal intervals.

3. The partial discharge measurement and analysis method according to claim 1, wherein: The harmonic data includes the harmonic content of the switchgear in different operating load ranges.

4. The partial discharge measurement and analysis method according to claim 1, wherein: The method for determining the switchgear with abnormal harmonics in the switchgear is: Determining harmonic content in different operating load ranges based on the analysis results of the harmonic data; determining a harmonic abnormal load interval in the operating load interval according to the harmonic content; Based on historical operating data in a harmonic abnormal load range, it is determined whether the switchgear is a harmonic abnormal switchgear.

5. The partial discharge measurement and analysis method according to claim 1, wherein: Divide the switchgear into different switchgear groups, specifically including: Divide the switchgear using the same power supply circuit into the same switchgear group.

6. The partial discharge measurement and analysis method according to claim 5, characterized in that: The composition data of the harmonic abnormality switchgear includes the number and the proportion of the harmonic abnormality switchgear in the power supply circuit.

7. The partial discharge measurement and analysis method according to claim 1, wherein: The method for determining the reliable detection cabinet group in the switch cabinet group is: Determining the composition ratio of the switch cabinets with abnormal harmonics in the switch cabinet group based on the composition data of the switch cabinets with abnormal harmonics in the switch cabinet group; Determining the operating load proportion of the harmonic abnormal switchgear in the switchgear group based on the composition data of the operating load of the harmonic abnormal switchgear in the switchgear group; According to the proportion of the number of components and the proportion of the operating load, it is determined whether the switch cabinet group is a detection reliable cabinet group.

8. The partial discharge measurement and analysis method according to claim 1, wherein: The detection period is a period during which the operating load of the harmonic abnormality switchgear is less than a preset operating load threshold.

9. The partial discharge measurement and analysis method according to claim 1, wherein: The method for determining the number of detection periods is: The proportion of the switch cabinets with abnormal harmonics in the detection reliable cabinet group is used as the abnormal harmonic proportion; Determine the load change switchgear in different detection periods based on the historical operating load changes of different harmonic abnormal switchgears during the detection period; The number of detection periods is determined based on the number of detection periods for switchgear with load changes and the proportion of harmonic anomalies.

10. A computer system comprising: A memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes a partial discharge measurement and analysis method according to any one of claims 1 to 9 when running the computer program.

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