Generator set relay protection debugging method and related device

Abstract

The invention relates to the technical field of electrical data processing, in particular to a generator set relay protection debugging method and related device.The generator set relay protection debugging method comprises the steps that according to the extreme value distribution difference in filtering electrical signals of each electrical device, the distance between each electrical device and all electrical devices in a corresponding preset neighborhood and the cross-correlation value between the filtering electrical signals, the filtering electrical signals of each electrical device are obtained; obtaining a corrected abnormal fluctuation factor of the filtered electric signal of each electrical device; according to the starting and stopping times of each electrical device, the rated power of each electrical device and the service life of each electrical device, the fault probability of each electrical device is obtained; and adjusting a preset time interval through the corrected abnormal fluctuation factor and the fault probability to obtain an adjusted sampling time interval of each electrical device, and performing data acquisition in the relay protection debugging process through the adjusted sampling time interval. According to the invention, the sampling equal-interval accuracy in the relay protection debugging process is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical data processing, and in particular to a generator set relay protection debugging method and related devices. Background Art

[0002] The commissioning of the relay protection of the generator set is a key step to ensure that the generator can promptly and accurately identify faults and respond during operation. The commissioning process needs to verify the accuracy, sensitivity and reliability of the relay protection device to ensure that it can isolate the fault in time when a fault occurs and protect the generator and other parts of the power system from damage.

[0003] During the relay protection debugging process, the transmission experiment can be used to verify the accuracy, sensitivity and reliability of the action transmission process between the relay protection device and the power equipment; that is, to ensure that the relay protection device can accurately and promptly send out action signals when a fault occurs, start the relevant circuit breakers or other control equipment, and protect the safety of the power system.

[0004] However, in the transmission experiment process of conventional relay protection commissioning, equal intervals are usually used to monitor and respond to the status of the power grid; if a larger interval is used, when the power grid status changes drastically or a sudden instantaneous fault occurs, the abnormal fluctuation of the power grid may not be well monitored; if a smaller interval is used, when the power grid status is stable, a large amount of redundant data may be generated, especially when the power grid status does not change much; frequent status collection may not provide more valuable information, but increase the burden of data processing. Summary of the invention

[0005] The invention provides a generator set relay protection debugging method and related devices, which are used to solve the problem of optimizing the data acquisition interval selection during the relay protection debugging process.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The first aspect of the present invention is to provide a generator set relay protection debugging method, comprising: Obtain electrical signal data of each electrical device in the power grid of the generator set; Performing filtering processing on the electrical signal data to obtain a filtered electrical signal; According to the extreme value distribution difference in the filtered electrical signal of each electrical device, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is obtained; according to the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is corrected to obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device; The failure probability of each electrical device is obtained based on the number of starts and stops of each electrical device, the rated power of each electrical device and the service life of each electrical device; the preset time interval is adjusted by the corrected abnormal fluctuation factor and the failure probability to obtain the adjusted sampling time interval of each electrical device, and the data is acquired during the relay protection debugging of the generator set through the adjusted sampling time interval.

[0007] Furthermore, the step of obtaining the electrical signal data of each electrical device in the power grid of the generator set includes: The electrical signal data within a preset time window of each electrical device is acquired at a preset time interval.

[0008] Furthermore, the filtering of the electrical signal data to obtain a filtered electrical signal includes: The preset working interference frequency in the electrical signal data of each electrical device is screened out by a notch filter function, and the remaining frequency after the screening is retained as the frequency after filtering preprocessing; The electric signal data after filtering preprocessing is recorded as a filtered electric signal.

[0009] Furthermore, according to the extreme value distribution difference in the filtered electrical signal of each electrical device, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is obtained, which is specifically expressed by the formula:

[0010] In the formula, Indicates the first A maximum value, Indicates the first A maximum value, Represents the number of all maximum values ​​in the filtered electrical signal of each electrical device, Indicates the first A minimum value, Indicates the first A minimum value, Indicates the number of all minimum values ​​in the filtered electrical signal of each electrical device; is the absolute value symbol, Indicates the abnormal fluctuation factor of the filtered electrical signal of each electrical device; in, Represents the cumulative sum of the differences between all adjacent maxima in the filtered electrical signal of each electrical device, Represents the cumulative sum of the differences between all adjacent minima in the filtered electrical signal for each electrical device.

[0011] Furthermore, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is corrected according to the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals to obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, including: With each electrical device as the center, according to the preset radius To obtain a circular preset neighborhood; According to the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals, the interference degree between each electrical device and all electrical devices in the corresponding preset neighborhood is obtained, and the interference degree is expressed by the formula:

[0012] In the formula, Indicates that each electrical device is associated with the corresponding preset neighborhood. The distance between electrical equipment, Indicates that each electrical device is associated with the corresponding preset neighborhood. The cross-correlation value between the corresponding filtered electrical signals of each electrical device; is the absolute value symbol, Indicates the total number of each electrical device and all electrical devices in the corresponding preset neighborhood. Indicates the degree of interference between each electrical device and all electrical devices in the corresponding preset neighborhood; It represents the cumulative sum of the ratios of the absolute values ​​of the cross-correlation values ​​and the distances between all electrical devices; According to the interference degree between each electrical device and all electrical devices in the corresponding preset neighborhood, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is corrected to obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device. The corrected abnormal fluctuation factor is expressed by the formula:

[0013] In the formula, Indicates the abnormal fluctuation factor of the filtered electrical signal of each electrical device, Indicates the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, Represents an exponential function with a natural constant as its base.

[0014] Furthermore, obtaining the failure probability of each electrical device according to the number of starts and stops of each electrical device, the rated power of each electrical device, and the service life of each electrical device includes: The number of times each electrical device is started and stopped in a week is recorded as the frequency factor of each electrical device;

[0015] In the formula, Indicates the rated power of each electrical device, represents the frequent factor of each electrical equipment, Indicates the age of each electrical device, Indicates that the service life of each electrical equipment is rounded up. represents the failure probability of each electrical device, represents the linear normalization function.

[0016] Furthermore, the preset time interval is adjusted by correcting the abnormal fluctuation factor and the fault probability to obtain the adjusted sampling time interval of each electrical device, and data acquisition during the relay protection debugging of the generator set is performed by using the adjusted sampling time interval, including: According to the corrected abnormal fluctuation factor and the fault probability, a sampling frequency adjustment factor of each electrical device is obtained, and the sampling frequency adjustment factor is specifically expressed by the formula:

[0017] In the formula, represents the failure probability of each electrical device, Indicates the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the sampling frequency adjustment factor for each electrical device, represents an exponential function with a natural constant as base; According to the sampling frequency adjustment factor of each electrical device, the preset time interval is adjusted to obtain the adjusted sampling time interval of each electrical device. The adjusted sampling time interval is specifically expressed by the formula:

[0018] In the formula, Indicates the preset sampling interval, Indicates the adjusted sampling time interval for each electrical device; Then, the data is acquired during the debugging of the generator set relay protection by using the adjusted sampling time interval.

[0019] The second aspect of the present invention is to provide a generator set relay protection debugging related device, comprising: Data acquisition module: used to obtain the electrical signal data of each electrical device in the power grid of the generator set; Data preprocessing module: used to filter the electrical signal data to obtain a filtered electrical signal; Abnormal fluctuation analysis module: used to obtain the abnormal fluctuation factor of the filtered electrical signal of each electrical device according to the extreme value distribution difference in the filtered electrical signal of each electrical device; according to the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is corrected to obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device; Equal interval adjustment module: used to obtain the failure probability of each electrical equipment according to the number of starts and stops of each electrical equipment, the rated power of each electrical equipment and the service life of each electrical equipment; adjust the preset time interval through the correction abnormal fluctuation factor and the failure probability to obtain the adjusted sampling time interval of each electrical equipment, and use the adjusted sampling time interval to obtain data during the relay protection debugging process of the generator set.

[0020] The third aspect of the present invention is to provide an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the generator set relay protection debugging method when executing the computer program.

[0021] A fourth aspect of the present invention is to provide a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for debugging a relay protection of a generator set is implemented.

[0022] Compared with the prior art, the beneficial effects of the present invention are as follows: filtering the electrical signal data to obtain the filtered electrical signal, reducing the influence of the operating frequency; obtaining the abnormal fluctuation factor of the filtered electrical signal of each electrical device according to the extreme value distribution difference in the filtered electrical signal of each electrical device; correcting the abnormal fluctuation factor of the filtered electrical signal of each electrical device according to the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals, obtaining the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, and improving the accuracy of the abnormal fluctuation analysis of the filtered electrical signal; obtaining the failure probability of each electrical device according to the start and stop times of each electrical device, the rated power of each electrical device and the service life; adjusting the preset time interval by the corrected abnormal fluctuation factor and the failure probability, obtaining the adjusted sampling time interval of each electrical device, and acquiring data in the process of relay protection debugging of the generator set by the adjusted sampling time interval, thereby improving the accuracy of sampling equal intervals in the process of relay protection debugging, improving the collection of detailed information data and reducing the collection of redundant data. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 The present invention provides a flow chart of the steps of a generator set relay protection debugging method; Figure 2 The present invention provides a module flow chart of a device related to relay protection debugging of a generator set. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] In view of the problems existing in the background technology, a generator set relay protection debugging method and related devices are studied and designed, which has important practical significance.

[0028] like Figure 1 As shown, the first aspect of the present invention is to provide a generator set relay protection debugging method, comprising the following steps: Step S001: Collecting electrical signal data of each electrical device in the power grid of the generator set.

[0029] It should be noted that in order to debug the relay protection of the generator set, it is first necessary to simulate the electrical signal data through a signal simulation device, and then debug the relay protection of the generator set according to the simulated electrical signal data.

[0030] Specifically, a signal monitoring device is installed next to each electrical device in the power grid of the generator set, and the electrical signal is simulated by the relay protection tester. Then, the electrical signal data within the preset time window of each electrical device is obtained at equal intervals through the signal monitoring device; wherein the length of the equal interval time is the preset time interval In this embodiment, the preset time interval seconds, wherein in this embodiment, the preset time interval There is no specific limitation, and the implementer can decide according to the specific situation. seconds, wherein in this embodiment, the time length of the preset time window There is no specific limitation and implementers can decide based on specific circumstances.

[0031] At this point, the electrical signal data of each electrical device in the generator set is obtained.

[0032] Step S002: Filter the electrical signal data to obtain a filtered electrical signal.

[0033] It should be noted that, since there is an operating interference frequency of the generator set in the corresponding environment during the simulation signal process, in order to prevent the operating interference frequency of the generator set from interfering with the simulated electrical signal data, it is necessary to first filter the acquired electrical signal data.

[0034] Specifically, the preset working interference frequency in the electrical signal data of each electrical device is filtered by the notch filter function. The remaining frequencies after the filtering are retained as the frequencies after the filtering preprocessing; wherein, in this embodiment, the working interference frequency is preset , wherein, in this embodiment, the preset working interference frequency There is no specific limitation, and the implementer may determine it according to the specific situation. Among them, the notch filter function is a well-known technology, and will not be described in detail here.

[0035] The electric signal data after filtering preprocessing is recorded as a filtered electric signal.

[0036] At this point, the filtered electrical signal is obtained.

[0037] Step S003: Obtain the abnormal fluctuation factor of the filtered electrical signal of each electrical device based on the extreme value distribution difference in the filtered electrical signal of each electrical device; correct the abnormal fluctuation factor of the filtered electrical signal of each electrical device based on the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals to obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device.

[0038] It should be noted that in the process of simulating signals through the relay protection tester, when there is no interference or abnormal faults in the equipment, the electrical signal simulated by the relay protection tester is relatively stable and has no large fluctuations. The normal and stable electrical signal data presents a certain period of sine and cosine fluctuations, that is, the amplitude of the electrical signal data at this time does not change much. However, when the filtered electrical signal is interfered, its filtered electrical signal will fluctuate to a certain extent.

[0039] It should be further explained that since the amplitude change of the electrical signal data can be analyzed from the changes in the maximum and minimum values ​​in the corresponding curve of the electrical signal, the abnormal fluctuation factor of the data can be analyzed from the changes in the extreme values ​​of the electrical signal.

[0040] Specifically, according to the extreme value distribution difference in the filtered electrical signal of each electrical device, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is obtained; specifically, it is expressed by the formula:

[0041] In the formula, Indicates the first A maximum value, Indicates the first A maximum value, Represents the number of all maximum values ​​in the filtered electrical signal of each electrical device, Indicates the first A minimum value, Indicates the first A minimum value, Indicates the number of all minimum values ​​in the filtered electrical signal of each electrical device; is the absolute value symbol, Indicates the abnormal fluctuation factor of the filtered electrical signal of each electrical device.

[0042] in, It indicates the difference between two adjacent maximum values. When the difference is larger, the abnormal fluctuation of each filtered electrical signal is larger, that is, the corresponding abnormal fluctuation factor is larger; conversely, the corresponding abnormal fluctuation factor is smaller. It indicates the difference between two adjacent minimum values. When the difference is larger, the abnormal fluctuation of each filtered electrical signal is larger, that is, the corresponding abnormal fluctuation factor is larger; conversely, the corresponding abnormal fluctuation factor is smaller. Represents the cumulative sum of the differences between all adjacent maxima in the filtered electrical signal of each electrical device, Represents the cumulative sum of the differences between all adjacent minima in the filtered electrical signal for each electrical device.

[0043] At this point, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is obtained.

[0044] It should be noted that due to the signal interference between the filtered electrical signals of different electrical devices, a certain degree of fluctuation will occur; especially in power systems with compact equipment, the denser the equipment, the stronger the interference between different electrical signals may be, that is, the closer the distance between the electrical devices, the greater the degree of interference between the filtered electrical signals of the electrical devices.

[0045] It should be further explained that the greater the interference between the corresponding filtered electrical signals of different electrical devices, the greater the impact on the abnormal fluctuation factor of the filtered electrical signal of each electrical device; an electrical signal that may not actually fluctuate much may experience abnormal fluctuations due to the mutual influence between different electrical signals; because the greater the correlation between the fluctuation difference trends of two electrical signals, the greater the influence between the two electrical signals; therefore, the abnormal fluctuation factor of the electrical signal is corrected by analyzing the cross-correlation values ​​between different electrical signals.

[0046] Specifically, with a preset radius To obtain a circular preset neighborhood, according to the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals, the interference degree between each electrical device and all electrical devices in the corresponding preset neighborhood is obtained. Meters, wherein the radius is preset in this embodiment There is no specific limitation, and implementers can decide based on specific circumstances; The interference degree is expressed by the formula:

[0047] In the formula, Indicates that each electrical device is associated with the corresponding preset neighborhood. The distance between electrical equipment, Indicates that each electrical device is associated with the corresponding preset neighborhood. The cross-correlation value between the corresponding filtered electrical signals of each electrical device; is the absolute value symbol, Indicates the total number of each electrical device and all electrical devices in the corresponding preset neighborhood. Indicates the degree of interference between each electrical device and all electrical devices in the corresponding preset neighborhood. The cumulative sum of the ratios of the absolute values ​​of the cross-correlation values ​​between all electrical devices to the distances. The process of obtaining the cross-correlation value between two filtered electrical signals is a well-known technique and will not be described in detail here.

[0048] Among them, when the distance between each electrical device and the electrical devices in the corresponding preset neighborhood is smaller, the interference degree of the filtered electrical signal of each electrical device is greater; conversely, the greater the distance, the smaller the interference degree of the filtered electrical signal of each electrical device. After the same signal source sends a signal, when the loads corresponding to different lines are different, and when the cross-correlation value between the two electrical signals is larger, the filter electrical signal of each electrical device is affected by the larger load and the current increases. The greater the interference degree between each electrical device and all electrical devices in the corresponding preset neighborhood; conversely, the smaller the cross-correlation value, the smaller the interference degree between each electrical device and all electrical devices in the corresponding preset neighborhood.

[0049] At this point, the interference degree between each electrical device and all electrical devices in the corresponding preset neighborhood is obtained.

[0050] It should be noted that the greater the degree of interference between each electrical device and all electrical devices in the corresponding preset neighborhood, the actual filtered electrical signal data of each electrical device itself may not fluctuate greatly, but only suffers from interference, resulting in a certain degree of abnormal fluctuation. Therefore, the abnormal fluctuation factor is corrected by the degree of interference between each electrical device and all electrical devices in the corresponding preset neighborhood.

[0051] Specifically, according to the interference degree between each electrical device and all electrical devices in the corresponding preset neighborhood, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is corrected to obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, and the corrected abnormal fluctuation factor is expressed by the formula:

[0052] In the formula, Indicates the abnormal fluctuation factor of the filtered electrical signal of each electrical device, Indicates the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, Indicates the degree of interference between each electrical device and all electrical devices in the corresponding preset neighborhood. Represents an exponential function with a natural constant as its base.

[0053] Among them, the greater the degree of interference between each electrical device and all electrical devices in the corresponding preset neighborhood, the greater the impact on the abnormal fluctuation factor of the filtered electrical signal corresponding to each electrical device, while the actual abnormal fluctuation factor may be very small, so the interference degree is negatively correlated to correct the abnormal fluctuation factor; therefore, the greater the interference degree, the smaller the corrected abnormal fluctuation factor; conversely, the larger the corrected abnormal fluctuation factor.

[0054] At this point, the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device is obtained.

[0055] Step S004: Obtain the failure probability of each electrical device based on the number of starts and stops of each electrical device, the rated power of each electrical device and the service life of each electrical device; adjust the preset time interval through the correction of the abnormal fluctuation factor and the failure probability to obtain the adjusted sampling time interval of each electrical device, and use the adjusted sampling time interval to obtain data during the relay protection debugging process.

[0056] It should be noted that when the rated power of an electrical device is greater, the current of the corresponding electrical device may be greater, so that overcurrent will make the electrical device more prone to failure; and the load of the device that is frequently started and stopped will change. When the load changes, a large current fluctuation will occur; the current fluctuation will affect the signal transmission through the electrical line, generating noise, error or data loss, resulting in fluctuations in electrical signal data. It should be further noted that the longer the equipment is used, the greater the possibility of failure of the equipment. Therefore, the failure probability of each electrical device is analyzed by the number of starts and stops of each electrical device, the rated power of each electrical device, and the service life.

[0057] Specifically, the failure probability of each electrical device is obtained according to the number of starts and stops of each electrical device, the rated power of each electrical device, and the service life; The number of times each electrical device is started and stopped in a week is recorded as the frequency factor of each electrical device; The failure probability is specifically expressed by the formula:

[0058] In the formula, Indicates the rated power of each electrical device, represents the frequent factor of each electrical equipment, Indicates the age of each electrical device, Indicates that the service life of each electrical equipment is rounded up. represents the failure probability of each electrical device, represents the linear normalization function.

[0059] Among them, when the rated power, frequency factor and service life of each electrical equipment are greater, the failure probability of each electrical equipment is greater; conversely, the failure probability of each electrical equipment is smaller.

[0060] At this point, the failure probability of each electrical device is obtained.

[0061] It should be noted that, when the failure probability of each electrical device is greater and the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device is greater, it means that the electrical signal of the electrical device is more prone to abnormal fluctuations. Therefore, in the process of relay protection debugging, it is necessary to increase the sampling frequency of the electrical equipment at equal intervals, so that more detailed information can be collected; and for electrical equipment with smaller failure probability and corrected abnormal fluctuation factor, it means that the electrical signal of the electrical equipment is more normal and more stable; for more stable electrical signals, frequent collection is not required. Frequent collection of more stable electrical signals will not only increase data storage space, but also increase the amount of calculation.

[0062] Specifically, according to the corrected abnormal fluctuation factor and the fault probability, a sampling frequency adjustment factor of each electrical device is obtained, and the sampling frequency adjustment factor is specifically expressed by the formula:

[0063] In the formula, represents the failure probability of each electrical device, Indicates the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the sampling frequency adjustment factor for each electrical device, Represents an exponential function with a natural constant as its base.

[0064] At this point, the sampling frequency adjustment factor of each electrical device is obtained.

[0065] According to the sampling frequency adjustment factor of each electrical device, the preset time interval is adjusted to obtain the adjusted sampling time interval of each electrical device. The adjusted sampling time interval is specifically expressed by the formula:

[0066] In the formula, Indicates the preset sampling interval, Indicates the adjusted sampling time interval for each electrical device, Indicates the sampling frequency adjustment factor for each electrical device.

[0067] Then, the data is acquired during the debugging of the generator set relay protection by using the adjusted sampling time interval.

[0068] It should be noted that in order to verify the performance improvement of the adjusted sampling time interval of each electrical equipment on the overall effect, a generator set model is constructed through the power system simulation software (MATLAB / Simulink), and different fault scenarios are injected; then sampling is performed at the adjusted sampling time interval, and the sampling data is used as the control group; then several sampling time intervals are randomly selected for sampling, and the data sampled at several sampling time intervals are used as several experimental groups; then, the data of a control group and several experimental groups are used to perform fault analysis during the generator set relay protection debugging process, and the analysis results of a control group and several experimental groups are compared with the injected fault scenarios to determine the performance improvement of the overall effect after the adjusted sampling time interval.

[0069] It should be noted that the The model is only used to represent negative correlation and constrain the output of the model to be in In the specific implementation, it can be replaced by other models with the same purpose. This embodiment is only based on The model is described as an example without any specific limitation. is the input to the model.

[0070] like Figure 2 As shown, the second aspect of the present invention is to provide a generator set relay protection debugging related device, including the following modules: Data acquisition module 101: used to obtain electrical signal data of each electrical device in the power grid of the generator set; Data preprocessing module 102: used to filter the electrical signal data to obtain a filtered electrical signal; Abnormal fluctuation analysis module 103: used to obtain the abnormal fluctuation factor of the filtered electrical signal of each electrical device according to the extreme value distribution difference in the filtered electrical signal of each electrical device; according to the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals, correct the abnormal fluctuation factor of the filtered electrical signal of each electrical device to obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device; The equal interval adjustment module 104 is used to obtain the failure probability of each electrical device according to the number of starts and stops of each electrical device, the rated power of each electrical device and the service life of each electrical device; adjust the preset time interval by the modified abnormal fluctuation factor and the failure probability to obtain the adjusted sampling time interval of each electrical device, and use the adjusted sampling time interval to obtain data during the relay protection debugging of the generator set.

[0071] The third aspect of the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements a method for debugging relay protection of a generator set when executing the computer program.

[0072] A fourth aspect of the present invention is to provide a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, a method for debugging relay protection of a generator set is implemented.

[0073] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, optical storage, etc.) containing computer-usable program code.

[0074] The present invention is described with reference to flowcharts and / or block diagrams of methods, systems, and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0075] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0076] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0077] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for debugging relay protection of a generator set, characterized in that: include: Obtain electrical signal data of each electrical device in the power grid of the generator set; Performing filtering processing on the electrical signal data to obtain a filtered electrical signal; Obtaining an abnormal fluctuation factor of the filtered electrical signal of each electrical device according to the extreme value distribution difference in the filtered electrical signal of each electrical device; According to the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is corrected to obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device; The failure probability of each electrical device is obtained based on the number of starts and stops of each electrical device, the rated power of each electrical device and the service life of each electrical device; the preset time interval is adjusted by the corrected abnormal fluctuation factor and the failure probability to obtain the adjusted sampling time interval of each electrical device, and the data is acquired during the relay protection debugging of the generator set through the adjusted sampling time interval.

2. A generator set relay protection debugging method according to claim 1, characterized in that: The step of obtaining the electrical signal data of each electrical device in the power grid of the generator set includes: The electrical signal data within a preset time window of each electrical device is acquired at a preset time interval.

3. A generator set relay protection debugging method according to claim 1, characterized in that: The filtering process of the electric signal data to obtain a filtered electric signal includes: The preset working interference frequency in the electrical signal data of each electrical device is screened out by a notch filter function, and the remaining frequency after the screening is retained as the frequency after filtering preprocessing; The electric signal data after filtering preprocessing is recorded as a filtered electric signal.

4. A generator set relay protection debugging method according to claim 1, characterized in that: According to the extreme value distribution difference in the filtered electrical signal of each electrical device, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is obtained, which is specifically expressed by the formula: In the formula, Indicates the first A maximum value, Indicates the first A maximum value, Represents the number of all maximum values ​​in the filtered electrical signal of each electrical device, Indicates the first A minimum value, Indicates the first A minimum value, Indicates the number of all minimum values ​​in the filtered electrical signal of each electrical device; is the absolute value symbol, Indicates the abnormal fluctuation factor of the filtered electrical signal of each electrical device; in, Represents the cumulative sum of the differences between all adjacent maxima in the filtered electrical signal of each electrical device, Represents the cumulative sum of the differences between all adjacent minima in the filtered electrical signal for each electrical device.

5. A generator set relay protection debugging method according to claim 1, characterized in that: The method of correcting the abnormal fluctuation factor of the filtered electrical signal of each electrical device according to the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals to obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device includes: With each electrical device as the center, according to the preset radius To obtain a circular preset neighborhood; According to the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals, the interference degree between each electrical device and all electrical devices in the corresponding preset neighborhood is obtained, and the interference degree is expressed by the formula: In the formula, Indicates that each electrical device is associated with the corresponding preset neighborhood. The distance between electrical equipment, Indicates that each electrical device is associated with the corresponding preset neighborhood. The cross-correlation value between the corresponding filtered electrical signals of each electrical device; is the absolute value symbol, Indicates the total number of each electrical device and all electrical devices in the corresponding preset neighborhood. Indicates the degree of interference between each electrical device and all electrical devices in the corresponding preset neighborhood; It represents the cumulative sum of the ratios of the absolute values ​​of the cross-correlation values ​​and the distances between all electrical devices; According to the interference degree between each electrical device and all electrical devices in the corresponding preset neighborhood, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is corrected to obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device. The corrected abnormal fluctuation factor is expressed by the formula: In the formula, Indicates the abnormal fluctuation factor of the filtered electrical signal of each electrical device, Indicates the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, Represents an exponential function with a natural constant as its base.

6. A generator set relay protection debugging method according to claim 1, characterized in that: The method of obtaining the failure probability of each electrical device according to the number of starts and stops of each electrical device, the rated power of each electrical device, and the service life of each electrical device includes: The number of times each electrical device is started and stopped in a week is recorded as the frequency factor of each electrical device; In the formula, Indicates the rated power of each electrical device, represents the frequent factor of each electrical equipment, Indicates the age of each electrical device, Indicates that the service life of each electrical equipment is rounded up. represents the failure probability of each electrical device, represents the linear normalization function.

7. A generator set relay protection debugging method according to claim 1, characterized in that: The method adjusts the preset time interval by correcting the abnormal fluctuation factor and the fault probability, obtains the adjusted sampling time interval of each electrical device, and acquires data during the relay protection debugging of the generator set by using the adjusted sampling time interval, including: According to the corrected abnormal fluctuation factor and the fault probability, a sampling frequency adjustment factor of each electrical device is obtained, and the sampling frequency adjustment factor is specifically expressed by the formula: In the formula, represents the failure probability of each electrical device, Indicates the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the sampling frequency adjustment factor for each electrical device, represents an exponential function with a natural constant as base; According to the sampling frequency adjustment factor of each electrical device, the preset time interval is adjusted to obtain the adjusted sampling time interval of each electrical device. The adjusted sampling time interval is specifically expressed by the formula: In the formula, Indicates the preset sampling interval, Indicates the adjusted sampling time interval for each electrical device; Then, the data is acquired during the debugging of the generator set relay protection by using the adjusted sampling time interval.

8. A device for debugging relay protection of a generator set, characterized in that: include: Data acquisition module: used to obtain the electrical signal data of each electrical device in the power grid of the generator set; Data preprocessing module: used to filter the electrical signal data to obtain filtered electrical signals; Abnormal fluctuation analysis module: used to obtain the abnormal fluctuation factor of the filtered electrical signal of each electrical device according to the extreme value distribution difference in the filtered electrical signal of each electrical device; According to the distance between each electrical device and all electrical devices in the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is corrected to obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device; Equal interval adjustment module: used to obtain the failure probability of each electrical equipment according to the number of starts and stops of each electrical equipment, the rated power of each electrical equipment and the service life of each electrical equipment; adjust the preset time interval through the correction abnormal fluctuation factor and the failure probability to obtain the adjusted sampling time interval of each electrical equipment, and use the adjusted sampling time interval to obtain data during the relay protection debugging process of the generator set.

9. An electronic device, characterized in that: The invention comprises 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, a generator set relay protection debugging method as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for debugging a relay protection of a generator set as described in any one of claims 1 to 7 is implemented.

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