State evaluation method and device for relay protection device of power plant

By acquiring and decomposing the sensor data of the relay protection device, and matching the fault recording curve with the fault prediction curve, the accurate evaluation of the status of the relay protection device in the power plant is solved, and the problem of the inability to accurately obtain the device status in the prior art is solved. , improves fault prediction and maintenance efficiency, and ensures the safe and stable operation of the power system.

CN119125864APending Publication Date: 2024-12-13HUADIAN LAIZHOU POWER GENERATION +3
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Patent Information

Application Number
CN202411269896.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-11
Publication Date
2024-12-13

AI Technical Summary

Technical Problem

The prior art cannot accurately obtain the status of the power plant relay protection device, resulting in low fault prediction and maintenance efficiency, affecting the safe and stable operation of the power system.

Method used

By obtaining sensor data of the relay protection device, summarizing and decomposing parameters, and matching the fault recording curve with the fault prediction curve, the accurate evaluation of the device status is achieved.

Benefits of technology

It effectively avoids defects in the status evaluation of the relay protection device, reduces the working pressure of operation and maintenance personnel, improves equipment management efficiency, and reduces the probability of unplanned failure and shutdown of the unit.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to a state evaluation method and device for a relay protection device of a power plant, and the method comprises the steps: obtaining device parameters of the relay protection device, and summarizing the device parameters to obtain a device parameter set; decomposing the device parameter set based on a preset parameter type, and performing fault analysis and prediction on the relay protection device based on a decomposition result to obtain a fault prediction curve; and obtaining a fault recording curve of the corresponding relay protection device, matching the fault recording curve with the fault prediction curve to obtain a matching result, and obtaining a state evaluation result of the relay protection device based on the matching result. The aging rule of the relay protection device can be reflected in the device parameter set, and the performance degradation degree of the relay protection device can be presented by the fault recording curve, so that the state of the relay protection device can be comprehensively and accurately evaluated based on the fault prediction curve and the fault recording curve; and the defect that the state of the relay protection device cannot be accurately known in the existing foundation is avoided.
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Description

Technical Field

[0001] The present application relates to the field of power systems, and in particular to a state assessment method and device for a relay protection device of a power plant. Background Art

[0002] The power system is a highly complex and large-scale production system. Most domestic power plants are facing a new round of upgrades and renovations of relay protection devices. Problems such as aging of relay protection devices, single operation and maintenance methods, and high costs also urgently need to be solved by intelligent measures.

[0003] Failures in the relay protection system affect the safe and stable operation of the generator set. Relay protection devices in power plants frequently experience non-stop unit accidents caused by power board failures, sampling board failures, CPU failures, etc. Summary of the invention

[0004] The embodiments of the present application provide a method and device for evaluating the status of a relay protection device in a power plant, so as to at least solve the problem in the related art that the status of the relay protection device itself cannot be accurately obtained.

[0005] In a first aspect, an embodiment of the present application provides a state assessment method for a relay protection device of a power plant, comprising:

[0006] Acquiring device parameters of the relay protection device, and summarizing the device parameters to obtain a device parameter set;

[0007] Decomposing the device parameter set based on preset parameter types, and performing fault analysis and prediction on the relay protection device based on the decomposition result to obtain a fault prediction curve;

[0008] A fault recording curve corresponding to the relay protection device is obtained, the fault recording curve is matched with the fault prediction curve to obtain a matching result, and a state evaluation result of the relay protection device is obtained based on the matching result.

[0009] In one embodiment, the obtaining of device parameters of the relay protection device and summarizing the device parameters to obtain a device parameter set include:

[0010] Acquire sensor data of the relay protection device, and generate the device parameters in combination with the device number of the relay protection device;

[0011] All the device parameters are divided into regions based on the device numbers, and the device parameters belonging to each region are summarized to obtain the device parameter set.

[0012] In one embodiment, the dividing all the device parameters into regions based on the device numbers, and summarizing the device parameters belonging to each region to obtain the device parameter set includes:

[0013] Adding the same regional prefix to the device parameters belonging to the same region, and aggregating the device parameters with the same or similar regional prefixes to obtain a device parameter group;

[0014] The device parameter groups with different prefixes are aggregated to obtain the device parameter set containing all regions.

[0015] In one embodiment, the device parameter set is decomposed based on the preset parameter type, and fault analysis and prediction is performed on the relay protection device based on the decomposition result to obtain a fault prediction curve, including:

[0016] Decomposing the device parameter set based on the preset parameter type to obtain a single device parameter corresponding to each of the relay protection devices;

[0017] Importing the single device parameter into the trained neural network to obtain fault analysis prediction data output by the neural network;

[0018] The fault prediction curve is drawn based on the fault analysis prediction data.

[0019] In one embodiment, the acquiring of the fault recording curve corresponding to the relay protection device, matching the fault recording curve with the fault prediction curve to obtain a matching result, and obtaining a state assessment result of the relay protection device based on the matching result includes:

[0020] Acquire the fault recording curve from the fault recording device corresponding to the relay protection device;

[0021] Extracting data from the fault recording curve and the fault prediction curve respectively based on the same sampling time for matching, and obtaining a matching result;

[0022] A state evaluation result of the relay protection device is obtained based on the matching result.

[0023] In one embodiment, extracting data from the fault recording curve and the fault prediction curve respectively based on the same sampling time for matching to obtain a matching result includes:

[0024] Generate a sampling schedule according to the type of the relay protection device, and sample the fault recording curve and the fault prediction curve simultaneously based on the sampling times in the sampling schedule to obtain fault recording sampling data and fault prediction sampling data;

[0025] Data corresponding to the same sampling time are extracted from the fault recording sampling data and the fault prediction sampling data respectively for matching to obtain a matching result.

[0026] In one embodiment, obtaining a status evaluation result of the relay protection device based on the matching result includes:

[0027] The matching results are classified in combination with a preset status assessment threshold, and the classification results are summarized to obtain a status assessment result corresponding to the relay protection device.

[0028] In a second aspect, an embodiment of the present application provides a state assessment device for a relay protection device of a power plant, comprising:

[0029] A network communication module, used for acquiring device parameters of the relay protection device, and summarizing the device parameters to obtain a device parameter set;

[0030] The state evaluation module is used to decompose the device parameter set based on the preset parameter type, and perform fault analysis and prediction on the relay protection device based on the decomposition result to obtain a fault prediction curve:

[0031] The event analysis module is used to obtain the fault recording curve corresponding to the relay protection device, match the fault recording curve with the fault prediction curve to obtain a matching result, and obtain a state evaluation result of the relay protection device based on the matching result.

[0032] In one embodiment, the network communication module includes:

[0033] A device parameter acquisition submodule, used to acquire sensor data of the relay protection device and generate the device parameters in combination with the device number of the relay protection device;

[0034] The device parameter acquisition submodule is used to divide all the device parameters into regions based on the device numbers, and to summarize the device parameters belonging to each region to obtain the device parameter set.

[0035] In one embodiment, the device parameter acquisition submodule includes:

[0036] A prefix adding unit, configured to add the same regional prefix to the device parameters belonging to the same region, and to aggregate the device parameters having the same or similar regional prefixes to obtain a device parameter group;

[0037] The parameter summarizing unit is used to summarize the device parameter groups with different prefixes to obtain the device parameter set containing all areas.

[0038] In one embodiment, the status evaluation module includes:

[0039] A device parameter decomposition submodule, used for decomposing the device parameter set based on the preset parameter type to obtain a single device parameter corresponding to each of the relay protection devices;

[0040] A result output submodule, used for importing the single device parameters into the trained neural network to obtain the fault analysis prediction data output by the neural network;

[0041] The curve drawing submodule is used to draw the fault prediction curve based on the fault analysis prediction data.

[0042] In one embodiment, the event analysis module includes:

[0043] A curve acquisition submodule, used for acquiring the fault recording curve from a fault recording device corresponding to the relay protection device;

[0044] A data matching submodule, used for extracting data from the fault recording curve and the fault prediction curve respectively based on the same sampling time for matching, to obtain a matching result;

[0045] The result generation submodule is used to obtain the status evaluation result of the relay protection device based on the matching result.

[0046] In one embodiment, the data matching submodule includes:

[0047] A data sampling unit, used for generating a sampling time table according to the type of the relay protection device, sampling the fault recording curve and the fault prediction curve at the same time based on the sampling time in the sampling time table, and obtaining fault recording sampling data and fault prediction sampling data;

[0048] The result matching unit is used to extract data corresponding to the same sampling time from the fault recording sampling data and the fault prediction sampling data respectively for matching to obtain a matching result.

[0049] In one embodiment, the result generation submodule includes:

[0050] A result summarizing unit is used to classify the matching results in combination with a preset status evaluation threshold, and summarize the classification results to obtain a status evaluation result corresponding to the relay protection device.

[0051] In a third aspect, an embodiment of the present application provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the state assessment method for a relay protection device for a power plant as described in the first aspect above is implemented.

[0052] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the state assessment method for a relay protection device for a power plant as described in the first aspect above.

[0053] The embodiment of the present application provides a method and device for evaluating the status of a relay protection device for a power plant, which has at least the following technical effects.

[0054] Since the device parameters can reflect the aging law of the relay protection device, and the fault recording curve can reflect the performance degradation degree of the relay protection device, the status of the relay protection device can be comprehensively and accurately evaluated based on the fault prediction curve and the fault recording curve, avoiding the defect of being unable to accurately know the status of the relay protection device in the existing basis.

[0055] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0057] Figure 1 is a flow chart of a method for evaluating a state of a relay protection device in a power plant in one embodiment;

[0058] Figure 2 is a schematic diagram of the process of step S10 in one embodiment;

[0059] Figure 3 is a schematic diagram of the process of step S20 in one embodiment;

[0060] Figure 4 is a schematic diagram of the process of step S30 in one embodiment;

[0061] Figure 5 is a schematic structural diagram of a state evaluation device for a relay protection device of a power plant in one embodiment;

[0062] Figure 6 FIG. 4 is a diagram showing the internal structure of an electronic device in one embodiment. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0064] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0065] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0066] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0067] The present application embodiment provides a state assessment method for a relay protection device of a power plant, such as Figure 1 As shown, including:

[0068] Step S10, obtaining device parameters of the relay protection device, and summarizing the device parameters to obtain a device parameter set.

[0069] Among them, a large number of relay protection devices are installed in the main plant of the power plant. Each relay protection device is responsible for monitoring the associated power devices and issuing a warning signal in time when the latter fails. However, in order to ensure the accuracy of the relay protection device's monitoring of the power devices, it is also necessary to monitor the status of the relay protection device. The relay protection device itself also contains many components and sensors, and a large number of device parameters that can characterize the current status of the relay protection device are obtained from the sensors, so as to evaluate the status of the relay according to the device parameters, so as to alarm when the relay protection device has failed or is about to fail, thereby reducing the probability of failure of the relay protection device and the monitored power devices.

[0070] In order to improve the efficiency of status assessment of relay protection devices, in this embodiment, subsequent status assessment operations are not performed directly after obtaining the device parameters of a single relay protection device. Instead, after obtaining the device parameters of all relay protection devices in the power plant, the device parameters are summarized to a certain extent to obtain a device parameter set. The basis for the summary here can be the region to which the relay protection device belongs, the type of the relay protection device, and other contents.

[0071] Step S20, decomposing the device parameter set based on the preset parameter type, and performing fault analysis and prediction on the relay protection device based on the decomposition result to obtain a fault prediction curve.

[0072] Among them, since the device parameter set contains a summary for a certain feature, in order to realize the status evaluation based on the device parameters, the received device parameter set needs to be decomposed. In order to improve the accuracy of the status evaluation of the relay protection device, this step decomposes the fault data set based on the preset parameter type. The preset parameter type here includes the environmental parameters, physical parameters, electrical parameters and behavioral parameters of the relay protection device. After decomposing the device data set based on the preset parameter type, a decomposition result of a single parameter type is obtained, so that a detailed evaluation of the current state of the relay protection device can be achieved based on the decomposition result. After obtaining the decomposition result, in order to reduce the difficulty of status evaluation, a fault prediction curve for the relay protection device will be drawn based on the decomposition result. In the later stage, sampling and comparison are directly performed according to the curve, which can effectively reduce the amount of data for status evaluation and improve evaluation efficiency.

[0073] Step S30, obtaining a fault recording curve of the corresponding relay protection device, matching the fault recording curve with the fault prediction curve to obtain a matching result, and obtaining a state evaluation result of the relay protection device based on the matching result.

[0074] Among them, in order to reduce the one-sidedness of the state assessment based only on the fault prediction curve, a fault recording device is also introduced in this step for auxiliary judgment. The fault recording device is used to record the waveform and effective value of the three-phase current and zero-sequence current on the line where the relay protection device is located during the whole process of the fault, and the waveform and effective value of the three-phase voltage and zero-sequence voltage on the bus, and form a fault analysis report, giving the fault type of this fault, and can view the amplitude and phase of the current and voltage, the action time of the protection on this side, and the time of sending and stopping the high-frequency protection transceiver on both sides of the line, the circuit breaker opening and closing time, etc. When automatic reclosing switches are installed on both sides of the line, the whole process of the automatic reclosing switch action on both sides of the line can also be seen. The fault recording curve including current and voltage generated by the fault recording device is matched with the obtained fault prediction curve, and the state of the relay protection device is evaluated from two aspects based on the situation of the relay protection device itself and the line situation obtained by the fault recording device.

[0075] The state assessment method for the relay protection device for a power plant provided in the embodiment of the present application is to obtain a device parameter set by summarizing the device parameters obtained at the relay protection device, decompose the device data set to obtain the decomposition result of a single parameter type of the corresponding relay protection device, and then draw the fault prediction curve of the corresponding relay protection device based on the decomposition result, and finally match the fault prediction curve with the fault recording curve, and obtain the state assessment result of the corresponding relay protection device according to the matching result. Since the device parameter set can reflect the aging law of the relay protection device, and the fault recording curve can reflect the performance degradation degree of the relay protection device, the state of the relay protection device can be comprehensively and accurately assessed based on the fault prediction curve and the fault recording curve, avoiding the defect that the state of the relay protection device cannot be accurately known in the existing basis, reducing the work pressure of the operation and maintenance personnel and improving the efficiency of equipment management, ensuring the safe and stable operation of the electrical equipment, which is of great significance to reducing the unplanned failure and shutdown of the unit.

[0076] In one embodiment, if Figure 2 As shown, step S10 for obtaining a device parameter set includes:

[0077] Step S11, acquiring sensor data of the relay protection device, and generating device parameters in combination with the device number of the relay protection device.

[0078] The device parameters of the relay protection device include two parts: one is the sensor data in the relay protection device, and the other is the device number of the current relay protection device itself. Since several device parameters need to be aggregated and transmitted in the subsequent transmission steps, in order to prevent confusion of device parameters, the corresponding device number needs to be added in the generation process of the device parameters.

[0079] Step S12: divide all device parameters into regions based on the device numbers, and summarize the device parameters belonging to each region to obtain a device parameter set.

[0080] Among them, since relay protection devices are deployed in many areas of the power plant, considering the possible confusion of the summarized device parameters, before summarizing the device parameters, all collected device parameters are divided into regions according to the device numbers, and device parameters with similar device numbers and belonging to the same area are summarized together, finally obtaining a device parameter set containing all device parameters.

[0081] Specifically, the implementation process of step S12 is as follows:

[0082] The same regional prefix is ​​added to the device parameters belonging to the same region, and the device parameters with the same or similar regional prefixes are aggregated to obtain a device parameter group. The device parameter groups with different prefixes are aggregated to obtain a device parameter set containing all regions.

[0083] Among them, the content and type of the regional prefix can be preset according to actual needs. The simpler form is "XX", X can be a letter or a number, and the more complex form can be "AA-BB-CC", AA represents the regional code, BB represents the community code, CC represents the specific location in the community, and the specific form is determined according to actual needs. Relay protection devices located in the same region and the same location in the same community have exactly the same regional prefix, and relay protection devices located in different locations in the same region and the same community or in different locations in the same region and different communities have similar regional prefixes. Relay protection devices located in different regions are treated as separate device parameters and are not summarized. After executing the regional prefix judgment, a device parameter set consisting of multiple device parameter groups is obtained.

[0084] In the specific implementation process, the collection and aggregation process shown in step S11 and step S12 is executed by the electrical control and management system (ECMS) server, and the ECMS transmits the collected device parameter set to the application server via the optical fiber communication cable for subsequent decomposition process.

[0085] In one embodiment, if Figure 3 As shown, step S20 for performing decomposition and drawing a fault prediction curve includes:

[0086] Step S21, decomposing the device parameter set based on the preset parameter type to obtain the single device parameter corresponding to each relay protection device.

[0087] Among them, the basis for decomposing the device parameter set is the preset parameter type. Since the device parameters contained in the device parameter set cover multiple parameter types, after decomposing the device parameter set, the single device parameter of each relay protection device can be obtained. At the same time, based on the previous text, it can be seen that the regional prefix is ​​added when the device parameters are summarized, so that when the device parameter set is decomposed in this step, the decomposition result is a regional prefix with each relay protection device.

[0088] Step S22, importing the single device parameter into the trained neural network to obtain the fault analysis prediction data output by the neural network.

[0089] Among them, since the operation of obtaining fault analysis prediction data based on single device parameters in this step is a common prediction operation, a common neural network can be used in this step. Typically, a graph neural network (GNN) can be used to train the initial basic graph G based on the existing device parameter historical data, so that the fault analysis prediction data output by the basic graph after training can reflect the aging of the relay protection device itself.

[0090] Step S23: drawing a fault prediction curve based on the fault analysis prediction data.

[0091] Among them, considering that the data in the fault recording curve and the fault analysis prediction data in the subsequent steps may be inconsistent at the same time, in order to use the data at the same time for comparison as much as possible, the operation of drawing the fault prediction curve based on the fault analysis prediction data is performed here. In this way, in the subsequent processing, the data at the same time can be selected from the fault recording curve and the fault prediction curve respectively. Since the selected data show the status of the relay protection device at the same time, it can improve the accuracy of the status evaluation of the relay protection device.

[0092] In one embodiment, if Figure 4 As shown, step S30 for obtaining the status assessment result includes:

[0093] Step S31, obtaining a fault recording curve from a fault recording device of a corresponding relay protection device.

[0094] Among them, based on the previous definition, it can be known that the fault recording device collects information such as current and voltage on the line where the relay protection device is located. Here, a fault recording curve is constructed based on each piece of information. The horizontal and vertical coordinates of the fault recording curve are time and the amplitude of the current information respectively.

[0095] Step S32: extract data from the fault recording curve and the fault prediction curve respectively based on the same sampling time for matching to obtain a matching result.

[0096] Specifically, after obtaining the fault recording curve, the contents of extracting data from the fault recording curve and the fault prediction curve for matching are as follows:

[0097] A sampling schedule is generated according to the type of relay protection device, and the fault recording curve and the fault prediction curve are sampled at the same time based on the sampling time in the sampling schedule to obtain fault recording sampling data and fault prediction sampling data. Data corresponding to the same sampling time are extracted from the fault recording sampling data and the fault prediction sampling data for matching to obtain matching results.

[0098] Among them, the sampling timetable is established to determine the exact time to extract data from the fault recording curve and the fault prediction curve. Taking into account that different types of relay protection devices will affect the accuracy of the matching results, it is also necessary to generate a corresponding sampling timetable according to the different types of relay protection devices themselves. The sampling timetable includes the sampling time of the fault recording curve and fault prediction curve corresponding to this type of relay protection device.

[0099] The matching operation mentioned in this step is based on the actual performance of the fault recording curve and the prediction of the relay protection device based on historical data, and obtains the difference between the data in the fault recording curve and the data in the fault prediction curve at the same time. If the difference is larger, it means that the difference between the expected performance of the relay protection device and the actual monitoring results is greater, which means that the state of the relay protection device is worse.

[0100] In the specific implementation process, the operations of acquiring the fault recording curve and extracting data matching shown in step S31 and step S32 are performed by multiple application modules located in the application server. Each application module is responsible for the matching operations of single device parameters including environmental parameters, physical parameters, electrical parameters and behavioral parameters, and obtains the matching results of the corresponding single device parameters.

[0101] Step S33, obtaining a status evaluation result of the relay protection device based on the matching result.

[0102] Among them, the matching result can only show the status of the relay protection device in terms of a single device parameter. In order to obtain the overall evaluation result of the relay protection device, it is necessary to further summarize the matching results. The specific summary method can be:

[0103] The matching results are classified according to the preset status assessment threshold, and the classification results are summarized to obtain the status assessment results of the corresponding relay protection device.

[0104] Specifically, the status evaluation of the integrated protection device for power plant is carried out in a quantitative manner. The specific content of the matching result is to set up a single status quantity scoring index for a single device parameter. The single status quantity scoring index can generally be subdivided into types such as good, normal, attention, abnormal and fault. The specific content of the summarized status evaluation results is the comprehensive status evaluation scoring index, which can generally be divided into types such as normal, attention, abnormal and fault. If the status quantity is within the ideal limit value, it belongs to the normal working state and gets full marks; otherwise, it belongs to the abnormal or fault state. The specific contents of the single status quantity scoring index and the comprehensive status evaluation scoring index are shown in Table 1.

[0105]

[0106] Table 1 Evaluation scores and scoring criteria for various state quantities of relay protection devices

[0107] In addition, after obtaining the status assessment results, the small text technology can be automatically generated by artificial intelligence to automatically generate a protection event analysis report based on various event materials and collected information. This can not only solve the problems of large manual input workload, poor data standardization and comprehensiveness, but also solve the needs of rapid analysis of a large number of short-term faults. An example of a protection time analysis report is shown in Table 2.

[0108]

[0109] Table 2 Example of a protection time analysis report

[0110] The state assessment method for the relay protection device for a power plant provided in the embodiment of the present application matches the fault prediction curve with the fault recording curve, and can comprehensively and accurately assess the state of the relay protection device, avoiding the defect that the state of the relay protection device cannot be accurately known in the existing basis. At the same time, the single device parameters of the relay protection device are evaluated by the state quantity scoring index, and the comprehensive state evaluation score index reflecting the state assessment result of the relay protection device is obtained, and the state of the relay protection device is determined by means of quantitative data. In addition, by means of the form of generating a protection event analysis report, the problems of large manual input workload, poor data standardization and comprehensiveness can be solved, and the needs for rapid analysis of a large number of short-term faults can be met. Ultimately, the work pressure of the operation and maintenance personnel is reduced and the efficiency of equipment management is improved, ensuring the safe and stable operation of electrical equipment, which is of great significance to reducing the unplanned failure and shutdown of the unit.

[0111] Second, as Figure 5 As shown, the embodiment of the present application provides a state evaluation device for a relay protection device of a power plant. The state evaluation device for a relay protection device of a power plant comprises: a network communication module 510 , a state evaluation module 520 and an event analysis module 530 .

[0112] The network communication module 510 is used to obtain device parameters of the relay protection device and to aggregate the device parameters to obtain a device parameter set.

[0113] Among them, a large number of relay protection devices are installed in the main plant of the power plant. Each relay protection device is responsible for monitoring the associated power devices and issuing a warning signal in time when the latter fails. However, in order to ensure the accuracy of the relay protection device's monitoring of the power devices, it is also necessary to monitor the status of the relay protection device. The relay protection device itself also contains many components and sensors, and a large number of device parameters that can characterize the current status of the relay protection device are obtained from the sensors, so as to evaluate the status of the relay according to the device parameters, so as to alarm when the relay protection device has failed or is about to fail, thereby reducing the probability of failure of the relay protection device and the monitored power devices.

[0114] In order to improve the efficiency of status assessment of relay protection devices, in this embodiment, subsequent status assessment operations are not performed directly after obtaining the device parameters of a single relay protection device. Instead, after obtaining the device parameters of all relay protection devices in the power plant, the device parameters are summarized to a certain extent to obtain a device parameter set. The basis for the summary here can be the region to which the relay protection device belongs, the type of the relay protection device, and other contents.

[0115] The state evaluation module 520 is used to decompose the device parameter set based on the preset parameter type, and perform fault analysis and prediction on the relay protection device based on the decomposition result to obtain a fault prediction curve.

[0116] Among them, since the device parameter set contains a summary for a certain feature, in order to realize the status evaluation based on the device parameters, the received device parameter set needs to be decomposed. In order to improve the accuracy of the status evaluation of the relay protection device, this step decomposes the fault data set based on the preset parameter type. The preset parameter type here includes the environmental parameters, physical parameters, electrical parameters and behavioral parameters of the relay protection device. After decomposing the device data set based on the preset parameter type, a decomposition result of a single parameter type is obtained, so that a detailed evaluation of the current state of the relay protection device can be achieved based on the decomposition result. After obtaining the decomposition result, in order to reduce the difficulty of status evaluation, a fault prediction curve for the relay protection device will be drawn based on the decomposition result. In the later stage, sampling and comparison are directly performed according to the curve, which can effectively reduce the amount of data for status evaluation and improve evaluation efficiency.

[0117] The event analysis module 530 is used to obtain the fault recording curve of the corresponding relay protection device, match the fault recording curve with the fault prediction curve to obtain a matching result, and obtain a state evaluation result of the relay protection device based on the matching result.

[0118] Among them, in order to reduce the one-sidedness of the state assessment based only on the fault prediction curve, a fault recording device is also introduced in this step for auxiliary judgment. The fault recording device is used to record the waveform and effective value of the three-phase current and zero-sequence current on the line where the relay protection device is located during the whole process of the fault, and the waveform and effective value of the three-phase voltage and zero-sequence voltage on the bus, and form a fault analysis report, giving the fault type of this fault, and can view the amplitude and phase of the current and voltage, the action time of the protection on this side, and the time of sending and stopping the high-frequency protection transceiver on both sides of the line, the circuit breaker opening and closing time, etc. When automatic reclosing switches are installed on both sides of the line, the whole process of the automatic reclosing switch action on both sides of the line can also be seen. The fault recording curve including current and voltage generated by the fault recording device is matched with the obtained fault prediction curve, and the state of the relay protection device is evaluated from two aspects based on the situation of the relay protection device itself and the line situation obtained by the fault recording device.

[0119] The state evaluation device for the relay protection device of the power plant provided in the embodiment of the present application obtains the device parameter set by summarizing the device parameters obtained at the relay protection device, decomposes the device data set to obtain the decomposition result of the single parameter type of the corresponding relay protection device, and then draws the fault prediction curve of the corresponding relay protection device based on the decomposition result, and finally matches the fault prediction curve with the fault recording curve, and obtains the state evaluation result of the corresponding relay protection device according to the matching result. Since the device parameter set can reflect the aging law of the relay protection device, and the fault recording curve can reflect the performance degradation degree of the relay protection device, the state of the relay protection device can be comprehensively and accurately evaluated based on the fault prediction curve and the fault recording curve, avoiding the defect that the state of the relay protection device cannot be accurately known in the existing basis, reducing the work pressure of the operation and maintenance personnel and improving the efficiency of equipment management, ensuring the safe and stable operation of the electrical equipment, which is of great significance to reducing the unplanned failure and shutdown of the unit.

[0120] In one embodiment, the network communication module 501 includes:

[0121] The device parameter acquisition submodule is used to obtain sensor data of the relay protection device and generate device parameters in combination with the device number of the relay protection device.

[0122] The device parameters of the relay protection device include two parts: one is the sensor data in the relay protection device, and the other is the device number of the current relay protection device itself. Since several device parameters need to be aggregated and transmitted in subsequent transmission operations, in order to prevent confusion of device parameters, the corresponding device number needs to be added in the generation process of the device parameters.

[0123] The device parameter acquisition submodule is used to divide all device parameters into regions based on the device numbers, summarize the device parameters belonging to each region, and obtain a device parameter set.

[0124] Among them, since relay protection devices are deployed in many areas of the power plant, considering the possible confusion of the summarized device parameters, before summarizing the device parameters, all collected device parameters are divided into regions according to the device numbers, and device parameters with similar device numbers and belonging to the same area are summarized together, finally obtaining a device parameter set containing all device parameters.

[0125] Specifically, the device parameter acquisition submodule specifically includes:

[0126] The prefix adding unit is used to add the same regional prefix to the device parameters belonging to the same region, and to aggregate the device parameters with the same or similar regional prefixes to obtain a device parameter group.

[0127] The parameter summarizing unit is used to summarize the device parameter groups with different prefixes to obtain a device parameter set containing all areas.

[0128] Among them, the content and type of the regional prefix can be preset according to actual needs. The simpler form is "XX", X can be a letter or a number, and the more complex form can be "AA-BB-CC", AA represents the regional code, BB represents the community code, CC represents the specific location in the community, and the specific form is determined according to actual needs. Relay protection devices located in the same region and the same location in the same community have exactly the same regional prefix, and relay protection devices located in different locations in the same region and the same community or in different locations in the same region and different communities have similar regional prefixes. Relay protection devices located in different regions are treated as separate device parameters and are not summarized. After executing the regional prefix judgment, a device parameter set consisting of multiple device parameter groups is obtained.

[0129] In the specific implementation process, the collection and aggregation process is performed by the electrical control and management system (ECMS) server, and the ECMS transmits the collected device parameter set to the application server via the optical fiber communication cable for subsequent decomposition process.

[0130] In one embodiment, the status evaluation module includes:

[0131] The device parameter decomposition submodule is used to decompose the device parameter set based on the preset parameter type to obtain the single device parameter corresponding to each relay protection device.

[0132] Among them, the basis for decomposing the device parameter set is the preset parameter type. Since the device parameters contained in the device parameter set cover multiple parameter types, after decomposing the device parameter set, the individual device parameters of each relay protection device can be obtained. At the same time, based on the previous text, it can be seen that the regional prefix is ​​added when the device parameters are summarized, so that when the device parameter set is decomposed in this operation, the decomposition result is a regional prefix with each relay protection device.

[0133] The result output submodule is used to import the single device parameters into the trained neural network to obtain the fault analysis and prediction data output by the neural network.

[0134] Among them, since the operation of predicting fault analysis prediction data based on a single device parameter is a common prediction operation, a common neural network can be used for this operation. Typically, a graph neural network (GNN) can be used to train the initial basic graph G based on the existing device parameter historical data, so that the fault analysis prediction data output by the basic graph after training can reflect the aging of the relay protection device itself.

[0135] The curve drawing submodule is used to draw the fault prediction curve based on the fault analysis prediction data.

[0136] Among them, considering that the data in the fault recording curve and the fault analysis prediction data may be inconsistent at the same time in the subsequent operation, in order to use the data at the same time for comparison as much as possible, the operation of drawing the fault prediction curve based on the fault analysis prediction data is performed here. In this way, in the subsequent processing, the data at the same time can be selected from the fault recording curve and the fault prediction curve respectively. Since the selected data show the status of the relay protection device at the same time, it can improve the accuracy of the status evaluation of the relay protection device.

[0137] In one embodiment, the event analysis module 530 includes:

[0138] The curve acquisition submodule is used to obtain the fault recording curve from the fault recording device of the corresponding relay protection device.

[0139] Among them, based on the previous definition, it can be known that the fault recording device collects information such as current and voltage on the line where the relay protection device is located. Here, a fault recording curve is constructed based on each piece of information. The horizontal and vertical coordinates of the fault recording curve are time and the amplitude of the current information respectively.

[0140] The data matching submodule is used to extract data from the fault recording curve and the fault prediction curve respectively based on the same sampling time for matching to obtain a matching result.

[0141] Specifically, the data matching submodule includes:

[0142] The data sampling unit is used to generate a sampling schedule according to the type of the relay protection device, and to sample the fault recording curve and the fault prediction curve at the same time based on the sampling time in the sampling schedule to obtain the fault recording sampling data and the fault prediction sampling data.

[0143] The result matching unit is used to extract data corresponding to the same sampling time from the fault recording sampling data and the fault prediction sampling data for matching to obtain a matching result.

[0144] Among them, the sampling timetable is established to determine the exact time to extract data from the fault recording curve and the fault prediction curve. Taking into account that different types of relay protection devices will affect the accuracy of the matching results, it is also necessary to generate a corresponding sampling timetable according to the different types of relay protection devices themselves. The sampling timetable includes the sampling time of the fault recording curve and fault prediction curve corresponding to this type of relay protection device.

[0145] The matching operation mentioned in this operation is based on the actual performance of the fault recording curve and the prediction of the relay protection device based on historical data, and obtains the difference between the data in the fault recording curve and the data in the fault prediction curve at the same time. If the difference is larger, it means that the difference between the expected performance of the relay protection device and the actual monitoring results is greater, which means that the state of the relay protection device is worse.

[0146] During the specific implementation process, the operations of acquiring fault recording curves and extracting data for matching are performed by multiple application modules located in the application server. Each application module is responsible for matching single device parameters including environmental parameters, physical parameters, electrical parameters, and behavioral parameters, and obtains matching results for the corresponding single device parameters.

[0147] The result generation submodule is used to obtain the status evaluation result of the relay protection device based on the matching result.

[0148] Among them, the matching result can only show the status of the relay protection device in terms of a single device parameter. In order to obtain the overall evaluation result of the relay protection device, it is necessary to further summarize the matching results. The result generation submodule includes:

[0149] The result summarizing unit is used to classify the matching results in combination with a preset status evaluation threshold, and summarize the classification results to obtain the status evaluation results of the corresponding relay protection device.

[0150] Specifically, the status evaluation of the integrated protection device for power plant is carried out in a quantitative manner. The specific content of the matching result is to set up a single status quantity scoring index for a single device parameter. The single status quantity scoring index can generally be subdivided into types such as good, normal, attention, abnormal and fault. The specific content of the summarized status evaluation results is the comprehensive status evaluation scoring index, which can generally be divided into types such as normal, attention, abnormal and fault. If the status quantity is within the ideal limit value, it belongs to the normal working state and gets full marks; otherwise, it belongs to the abnormal or fault state. The specific contents of the single status quantity scoring index and the comprehensive status evaluation scoring index are shown in Table 1.

[0151]

[0152] Table 1 Evaluation scores and scoring criteria for various state quantities of relay protection devices

[0153] In addition, after obtaining the status assessment results, the small text technology can be automatically generated by artificial intelligence to automatically generate a protection event analysis report based on various event materials and collected information. This can not only solve the problems of large manual input workload, poor data standardization and comprehensiveness, but also solve the needs of rapid analysis of a large number of short-term faults. An example of a protection time analysis report is shown in Table 2.

[0154]

[0155] Table 2 Example of a protection time analysis report

[0156] The state evaluation device for the relay protection device of the power plant provided in the embodiment of the present application matches the fault prediction curve with the fault recording curve, and can comprehensively and accurately evaluate the state of the relay protection device, avoiding the defect that the state of the relay protection device cannot be accurately known in the existing basis. At the same time, the single device parameters of the relay protection device are evaluated by the state quantity scoring index, and the comprehensive state evaluation score index reflecting the state evaluation result of the relay protection device is obtained, and the state of the relay protection device is determined by means of quantitative data. In addition, by generating a protection event analysis report, it can solve the problems of large manual input workload, poor data standardization and comprehensiveness, and meet the needs of rapid analysis of a large number of short-term faults. Ultimately, it reduces the work pressure of operation and maintenance personnel and improves the efficiency of equipment management, ensures the safe and stable operation of electrical equipment, and is of great significance to reducing unplanned fault shutdowns of units.

[0157] It should be noted that the state assessment device for the relay protection device of the power plant provided in this embodiment is used to implement the above-mentioned implementation mode, and the description has been made no further. As used above, the terms "module", "unit", "subunit" and the like can implement a combination of software and / or hardware of predetermined functions. Although the device described in the above embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware is also possible and conceivable.

[0158] In a third aspect, an embodiment of the present application provides an electronic device, Figure 6 FIG. 1 is a block diagram of an electronic device according to an exemplary embodiment. Figure 6 As shown, the electronic device may include a processor 61 and a memory 62 storing computer program instructions.

[0159] Specifically, the processor 61 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0160] Among them, the memory 62 may include a large-capacity memory for data or instructions. By way of example and not limitation, the memory 62 may include a hard disk drive (HDD), a floppy disk drive, a solid-state drive (SSD), a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 62 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 62 may be inside or outside the data processing device. In a specific embodiment, the memory 62 is a non-volatile memory. In a specific embodiment, the memory 62 includes a read-only memory (ROM) and a random access memory (RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (Programmable Read-Only Memory, PROM for short), an erasable PROM (Erasable ProgrammableRead-Only Memory, EPROM for short), an electrically erasable PROM (Electrically Erasable ProgrammableRead-Only Memory, EEPROM for short), an electrically alterable ROM (Electrically Alterable Read-Only Memory, EAROM for short) or a flash memory (FLASH) or a combination of two or more of these. Under appropriate circumstances, the RAM can be a static random access memory (SRAM) or a dynamic random access memory (DRAM), wherein the DRAM can be a fast page mode dynamic random access memory (FPMDRAM), an extended data output dynamic random access memory (EDODRAM), a synchronous dynamic random access memory (SDRAM), etc.

[0161] The memory 62 may be used to store or cache various data files required for processing and / or communication, as well as possible computer program instructions executed by the processor 61 .

[0162] The processor 61 reads and executes the computer program instructions stored in the memory 62 to implement any one of the state assessment methods for the relay protection device of the power plant in the above embodiments.

[0163] In one embodiment, the state assessment device for a relay protection device of a power plant may further include a communication interface 63 and a bus 60. Figure 6 As shown, the processor 61, the memory 62, and the communication interface 63 are connected via a bus 60 and communicate with each other.

[0164] The communication interface 63 is used to implement communication between the modules, devices, units and / or equipment in the embodiment of the present application. The communication port 63 can also implement data communication with other components such as: external devices, image / data acquisition equipment, databases, external storage, and image / data processing workstations.

[0165] The bus 60 includes hardware, software or both, and couples the components of the state evaluation device for the relay protection device of the power plant to each other. The bus 60 includes but is not limited to at least one of the following: a data bus, an address bus, a control bus, an expansion bus, and a local bus. By way of example and not limitation, bus 60 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of the above. Where appropriate, bus 60 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0166] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a program stored thereon, and when the program is executed by a processor, the state assessment method for a relay protection device for a power plant provided in the first aspect is implemented.

[0167] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0168] In a possible implementation, the present invention can also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to perform operations to implement the state assessment method for a relay protection device for a power plant provided in the first aspect.

[0169] The program code for executing the present invention may be written in any combination of one or more programming languages, and may be executed entirely on a user device, partially on a user device, as an independent software package, partially on a user device and partially on a remote device, or entirely on a remote device.

[0170] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0171] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for evaluating the state of a relay protection device in a power plant, characterized in that: include: Acquiring device parameters of the relay protection device, and summarizing the device parameters to obtain a device parameter set; Decomposing the device parameter set based on preset parameter types, and performing fault analysis and prediction on the relay protection device based on the decomposition result to obtain a fault prediction curve; A fault recording curve corresponding to the relay protection device is obtained, the fault recording curve is matched with the fault prediction curve to obtain a matching result, and a state evaluation result of the relay protection device is obtained based on the matching result.

2. The state assessment method for a relay protection device for a power plant according to claim 1, characterized in that: The step of obtaining device parameters of the relay protection device and summarizing the device parameters to obtain a device parameter set includes: Acquire sensor data of the relay protection device, and generate the device parameters in combination with the device number of the relay protection device; All the device parameters are divided into regions based on the device numbers, and the device parameters belonging to each region are summarized to obtain the device parameter set.

3. The state assessment method for a relay protection device for a power plant according to claim 2, characterized in that: The dividing all the device parameters into regions based on the device numbers, and summarizing the device parameters belonging to each region to obtain the device parameter set includes: Adding the same regional prefix to the device parameters belonging to the same region, and aggregating the device parameters with the same or similar regional prefixes to obtain a device parameter group; The device parameter groups with different prefixes are aggregated to obtain the device parameter set containing all regions.

4. The state assessment method for a relay protection device for a power plant according to claim 1, characterized in that: The method of decomposing the device parameter set based on the preset parameter type, and performing fault analysis and prediction on the relay protection device based on the decomposition result to obtain a fault prediction curve includes: Decomposing the device parameter set based on the preset parameter type to obtain a single device parameter corresponding to each of the relay protection devices; Importing the single device parameter into the trained neural network to obtain fault analysis prediction data output by the neural network; The fault prediction curve is drawn based on the fault analysis prediction data.

5. The state assessment method for a relay protection device for a power plant according to claim 1, characterized in that: The acquiring of the fault recording curve corresponding to the relay protection device, matching the fault recording curve with the fault prediction curve to obtain a matching result, and obtaining a state evaluation result of the relay protection device based on the matching result, includes: Acquire the fault recording curve from the fault recording device corresponding to the relay protection device; Extracting data from the fault recording curve and the fault prediction curve respectively based on the same sampling time for matching, and obtaining a matching result; A state evaluation result of the relay protection device is obtained based on the matching result.

6. The state assessment method for a relay protection device for a power plant according to claim 5, characterized in that: The extracting data from the fault recording curve and the fault prediction curve respectively based on the same sampling time for matching to obtain a matching result includes: Generate a sampling schedule according to the type of the relay protection device, and sample the fault recording curve and the fault prediction curve simultaneously based on the sampling times in the sampling schedule to obtain fault recording sampling data and fault prediction sampling data; Data corresponding to the same sampling time are extracted from the fault recording sampling data and the fault prediction sampling data respectively for matching to obtain a matching result.

7. The state assessment method for a relay protection device for a power plant according to claim 5, characterized in that: The obtaining of the state evaluation result of the relay protection device based on the matching result includes: The matching results are classified in combination with a preset status assessment threshold, and the classification results are summarized to obtain a status assessment result corresponding to the relay protection device.

8. A state assessment device for a relay protection device of a power plant, characterized in that: include: A network communication module, used for acquiring device parameters of the relay protection device, and summarizing the device parameters to obtain a device parameter set; The state evaluation module is used to decompose the device parameter set based on the preset parameter type, and perform fault analysis and prediction on the relay protection device based on the decomposition result to obtain a fault prediction curve: The event analysis module is used to obtain the fault recording curve corresponding to the relay protection device, match the fault recording curve with the fault prediction curve to obtain a matching result, and obtain a state evaluation result of the relay protection device based on the matching result.

9. An electronic device, characterized in that: include Memory, processor, and A computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for evaluating the state of a relay protection device for a power plant according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for evaluating the state of a relay protection device for a power plant according to any one of claims 1 to 7 is implemented.