A method for debugging relay protection of a generator set and related devices

Abstract

The present invention relates to the technical field of electrical data processing, and specifically relates to a relay protection debugging method and related device for a generator set, including: obtaining a corrected 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, the distance between each electrical device and all electrical devices within the corresponding preset neighborhood, and the cross-correlation value between the filtered electrical signals; 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 a preset time interval through the corrected abnormal fluctuation factor and the failure probability to obtain an adjusted sampling time interval for each electrical device, and acquiring data during the relay protection debugging process through the adjusted sampling time interval. The present invention improves the accuracy of the sampling equal interval during the relay protection debugging process.

Description

Technical Field

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

[0002] The relay protection debugging of a generator set is a key step to ensure that the generator can timely and accurately identify faults and respond during operation. The debugging process needs to verify the accuracy, sensitivity and reliability of the relay protection device to ensure that it can isolate faults 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 accuracy, sensitivity and reliability of the action transfer process between the relay protection device and the power equipment can be experimentally verified through a transmission test; that is, to ensure that when a fault occurs, the relay protection device can accurately and timely issue an action signal to start relevant circuit breakers or other control devices to protect the safety of the power system.

[0004] However, during the transmission test of conventional relay protection debugging, equal intervals are usually used to monitor and respond to the state of the power grid; if a larger interval is used, when the state of the power grid changes violently or a sudden instantaneous fault occurs, the abnormal fluctuations of the power grid may not be well monitored; if a smaller interval is used, when the state of the power grid is stable, a large amount of redundant data may be generated, especially when the state of the power grid changes little; frequent state acquisition may not provide more valuable information, but instead increase the burden of data processing. Summary of the Invention

[0005] The present invention provides a method and related device for debugging relay protection of a generator set to solve the problem of optimizing the selection of data acquisition intervals during the relay protection debugging process.

[0006] The object of the present invention can be achieved by the following technical solutions:

[0007] The first aspect of the present invention is to provide a method for debugging relay protection of a generator set, including:

[0008] Obtain the electrical signal data of each electrical device in the power grid of the generator set;

[0009] Perform filtering processing on the electrical signal data to obtain filtered electrical signals;

[0010] An abnormal fluctuation factor of the filtered electrical signal of each electrical device is obtained according to the difference in the extreme value distribution in the filtered electrical signal of each electrical device; 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 within the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals, and a corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device is obtained.

[0011] The failure probability of each electrical device is obtained according to the start and stop times of each electrical device, the rated power of each electrical device, and the service life; the preset time interval is adjusted by the corrected abnormal fluctuation factor and the failure probability, and an adjusted sampling time interval for each electrical device is obtained, and data acquisition in the relay protection debugging process of the generator set is performed through the adjusted sampling time interval.

[0012] Further, the obtaining of the electrical signal data of each electrical device in the generator set power grid includes:

[0013] The electrical signal data of each electrical device within a preset time window is obtained at a preset time interval.

[0014] Further, the filtering the electrical signal data to obtain a filtered electrical signal includes:

[0015] The preset operating interference frequency in the electrical signal data of each electrical device is screened out through a notch filtering function, and the remaining frequencies after screening are retained as the frequencies after filtering preprocessing.

[0016] The electrical signal data after filtering preprocessing is denoted as the filtered electrical signal.

[0017] Further, the obtaining of the abnormal fluctuation factor of the filtered electrical signal of each electrical device according to the difference in the extreme value distribution in the filtered electrical signal of each electrical device is specifically expressed by the formula:

[0018]

[0019] In the formula, represents the th maximum value in the filtered electrical signal of each electrical device, represents the th maximum value in the filtered electrical signal of each electrical device, represents the number of all maximum values in the filtered electrical signal of each electrical device, represents the th minimum value in the filtered electrical signal of each electrical device, represents the th minimum value in the filtered electrical signal of each electrical device, Represents the number of all minima in the filtered electrical signal of each electrical device; Is the absolute value symbol, Represents the abnormal fluctuation factor of the filtered electrical signal of each electrical device;

[0020] Among them, 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 of each electrical device.

[0021] 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 within 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:

[0022] Taking each electrical device as the center, according to the preset radius To obtain a circular preset neighborhood;

[0023] According to the distance between each electrical device and all electrical devices within 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 within the corresponding preset neighborhood is obtained, and the interference degree is expressed by the formula:

[0024]

[0025] In the formula, Represents the distance between each electrical device and the th electrical device within the corresponding preset neighborhood, Represents the cross-correlation value between the filtered electrical signal of each electrical device and the filtered electrical signal of the th electrical device within the corresponding preset neighborhood; Is the absolute value symbol, Represents the total number of all electrical devices within the corresponding preset neighborhood of each electrical device, Represents the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood; Represents the cumulative sum of the ratios of the absolute values of the cross-correlation values between all electrical devices to the distances;

[0026] According to the interference degree between each electrical device and all electrical devices within 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:

[0027]

[0028] In the formula, represents the abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the exponential function with the natural constant as the base.

[0029] Further, 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 includes:

[0030] Recording the number of times each electrical device is started and stopped in a week as the frequent factor of each electrical device;

[0031]

[0032] In the formula, represents the rated power of each electrical device, represents the frequent factor of each electrical device, represents the service life of each electrical device, represents rounding up the service life of each electrical device, represents the failure probability of each electrical device, represents the linear normalization function.

[0033] Further, adjusting the preset time interval through the corrected abnormal fluctuation factor and the failure probability to obtain the adjusted sampling time interval of each electrical device, and obtaining data during the relay protection debugging process of the generator set through the adjusted sampling time interval includes:

[0034] Obtaining the sampling frequency adjustment factor of each electrical device according to the corrected abnormal fluctuation factor and the failure probability, and the sampling frequency adjustment factor is specifically expressed by the formula:

[0035]

[0036] In the formula, represents the failure probability of each electrical device, represents the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the sampling frequency adjustment factor of each electrical device, represents the exponential function with the natural constant as the base;

[0037] Adjusting the preset time interval according to the sampling frequency adjustment factor of each electrical device to obtain the adjusted sampling time interval of each electrical device, and the adjusted sampling time interval is specifically expressed by the formula:

[0038]

[0039] In the formula, represents a preset sampling interval, represents the adjusted sampling time interval of each electrical device;

[0040] Then, data acquisition during the relay protection debugging of the generator set is carried out through the adjusted sampling time interval.

[0041] The second aspect of the present invention is to provide a device related to relay protection debugging of a generator set, including:

[0042] Data acquisition module: used to acquire the electrical signal data of each electrical device in the power grid of the generator set;

[0043] Data preprocessing module: used to perform filtering processing on the electrical signal data to obtain filtered electrical signals;

[0044] 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 within 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;

[0045] Equal-interval adjustment module: used to obtain 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; adjust the preset time interval through the corrected abnormal fluctuation factor and the failure probability to obtain the adjusted sampling time interval of each electrical device, and carry out data acquisition during the relay protection debugging of the generator set through the adjusted sampling time interval.

[0046] 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, and when the processor executes the computer program, the method for relay protection debugging of a generator set is implemented.

[0047] The fourth aspect of the present invention is to provide a computer-readable storage medium, and the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for relay protection debugging of a generator set is implemented.

[0048] Compared with the prior art, the beneficial effects of the present invention are as follows: filtering the electrical signal data to obtain a filtered electrical signal, reducing the influence degree of the working frequency; obtaining the abnormal fluctuation factor of the filtered electrical signal of each electrical device according to the difference in the extreme value distribution 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 within 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 analysis of the abnormal fluctuation 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 through the corrected abnormal fluctuation factor and the failure probability, obtaining the adjusted sampling time interval of each electrical device, and obtaining data during the relay protection debugging process of the generator set through the adjusted sampling time interval, improving the accuracy of the equal interval of sampling during the relay protection debugging process, improving the acquisition of detailed information data, and reducing the acquisition of redundant data. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0050] Figure 1 It is a flowchart of the steps of a method for relay protection debugging of a generator set provided by the present invention;

[0051] Figure 2 It is a module flowchart of a device related to relay protection debugging of a generator set provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0053] It should be noted that the terms "first", "second", etc. in the description, claims and above-mentioned drawings of the present invention are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, 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 "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0054] In view of the problems existing in the background technology, researching and designing a method and related device for commissioning relay protection of a generator set has important practical significance.

[0055] As Figure 1 shown, the first aspect of the present invention is to provide a method for commissioning relay protection of a generator set, including the following steps:

[0056] Step S001: Collect the electrical signal data of each electrical device in the generator set power grid.

[0057] It should be noted that in order to commission the relay protection of the generator set, it is first necessary to simulate the electrical signal data through a signal simulation device, and commission the relay protection of the generator set according to the simulated electrical signal data.

[0058] Specifically, a signal monitoring device is installed beside each electrical device in the generator set power grid, the electrical signal is simulated through a relay protection tester, and then the electrical signal data of each electrical device within a preset time window is obtained at equal intervals through the signal monitoring device; wherein, the equal interval time length is a preset time interval . Among them, in this embodiment, the preset time interval seconds, where in this embodiment, the preset time interval is not specifically limited, and the implementer can determine it according to the specific situation. Among them, the time length of the preset time window seconds, where in this embodiment, the time length of the preset time window is not specifically limited, and the implementer can determine it according to the specific situation.

[0059] Thus, the electrical signal data of each electrical device in the generator set is obtained.

[0060] Step S002: Perform filtering processing on the electrical signal data to obtain filtered electrical signals.

[0061] It should be noted that since there are operating interference frequencies of the generator set in the corresponding environment during the process of simulating signals, in order to prevent the operating interference frequencies of the generator set from interfering with the simulated electrical signal data, it is first necessary to filter the obtained electrical signal data.

[0062] Specifically, the preset operating interference frequencies in the electrical signal data of each electrical device are filtered out through a notch filter function, and the remaining frequencies after filtering are retained as the frequencies after pre-filtering; among them, in this embodiment, the preset operating interference frequencies , among which, in this embodiment, the preset operating interference frequencies are not specifically defined, and the implementer can determine according to the specific situation. Among them, the notch filter function is a well-known technology and will not be specifically described here.

[0063] The electrical signal data after pre-filtering is denoted as the filtered electrical signal.

[0064] Thus, the filtered electrical signal is obtained.

[0065] Step S003: 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; correct 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 within the corresponding preset neighborhood and the cross-correlation value between the filtered electrical signals, and obtain the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device.

[0066] It should be noted that during the process of simulating signals by the relay protection tester, when there is no interference or the device has no abnormal fault, the electrical signals simulated by the relay protection tester are relatively stable and have no large fluctuations. And the normal and stable electrical signal data shows a certain periodic sine and cosine fluctuation, that is, the amplitude of the electrical signal data at this time also changes little. However, when the filtered electrical signal is interfered, there will be a certain degree of fluctuation in the filtered electrical signal.

[0067] Furthermore, it should be noted that since the amplitude change of the electrical signal data can be analyzed respectively from the change situations of the maximum and minimum values in the corresponding curve of the electrical signal; therefore, the abnormal fluctuation factor of the data can be analyzed from the extreme value change situation of the electrical signal.

[0068] Specifically, 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; specifically, it is expressed by the formula:

[0069]

[0070] In the formula, represents the th maximum value in the filtered electrical signal of each electrical device, represents the th maximum value in the filtered electrical signal of each electrical device, represents the number of all maximum values in the filtered electrical signal of each electrical device, represents the th minimum value in the filtered electrical signal of each electrical device, represents the th minimum value in the filtered electrical signal of each electrical device, represents the number of all minimum values in the filtered electrical signal of each electrical device; is the absolute value symbol, represents the abnormal fluctuation factor of the filtered electrical signal of each electrical device.

[0071] Among them, represents the difference between two adjacent maximum values. The larger the difference, the greater the abnormal fluctuation of each filtered electrical signal, that is, the corresponding abnormal fluctuation factor is larger; on the contrary, the corresponding abnormal fluctuation factor is smaller; represents the difference between two adjacent minimum values. The larger the difference, the greater the abnormal fluctuation of each filtered electrical signal, that is, the corresponding abnormal fluctuation factor is larger; on the contrary, the corresponding abnormal fluctuation factor is smaller; represents the cumulative sum of the differences between all adjacent maximum values in the filtered electrical signal of each electrical device, represents the cumulative sum of the differences between all adjacent minimum values in the filtered electrical signal of each electrical device.

[0072] Thus, the abnormal fluctuation factor of the filtered electrical signal of each electrical device is obtained.

[0073] It should be noted that due to the signal interference between the filtered electrical signals of different electrical devices, there will be a certain degree of fluctuation; especially in a compact power system, the closer the devices are, the stronger the interference between different electrical signals may be, that is, the closer the distance between electrical devices, the greater the interference degree between the filtered electrical signals of electrical devices.

[0074] Furthermore, it should be noted that the greater the interference between the filtered electrical signals corresponding to 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 show abnormal fluctuations due to the mutual influence of different electrical signals; since the more correlated the fluctuation difference trends of two electrical signals are, 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 value between different electrical signals.

[0075] Specifically, with a preset radius to obtain a circular preset neighborhood, and obtain the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood according to the distances between each electrical device and all electrical devices within the corresponding preset neighborhood, and the cross-correlation values between the filtered electrical signals. Among them, in this embodiment, the preset radius is not specifically limited, and the implementer can determine it according to the specific situation;

[0076] The interference degree is expressed by the formula:

[0077]

[0078] In the formula, represents the distance between each electrical device and the th electrical device within the corresponding preset neighborhood, represents the cross-correlation value between the filtered electrical signal of each electrical device and the th electrical device within the corresponding preset neighborhood; is the absolute value symbol, represents the total number of all electrical devices within the corresponding preset neighborhood for each electrical device, represents the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood. represents the cumulative sum of the ratios of the absolute values of the cross-correlation values between all electrical devices to the distances. Among them, the process of obtaining the cross-correlation value between two filtered electrical signals is a well-known technology, and no specific description will be given here.

[0079] Among them, when the distance between each electrical device and the electrical devices within the corresponding preset neighborhood is smaller, the greater the interference degree of the filtered electrical signal of each electrical device; conversely, the greater the distance, the smaller the interference degree of the filtered electrical signal of each electrical device. After the signal is emitted by the same signal source, when the loads corresponding to different lines are different, and when the cross-correlation value between two electrical signals is greater, the greater the influence of the filtered electrical signal with an increased current due to the influence of the larger load on each electrical device, so the greater the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood; conversely, the smaller the cross-correlation value, the smaller the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood.

[0080] Thus, the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood is obtained.

[0081] It should be noted that when the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood is greater, the actual filtered electrical signal data of each electrical device may not have large fluctuations. It is only due to interference that certain abnormal fluctuations occur. Therefore, the abnormal fluctuation factor is corrected based on the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood.

[0082] Specifically, according to the interference degree between each electrical device and all electrical devices within 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:

[0083]

[0084] In the formula, represents the abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood, represents the exponential function with the natural constant as the base.

[0085] Among them, when the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood is greater, 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. Therefore, a negative correlation mapping is performed on the interference degree to correct the abnormal fluctuation factor. So, when the interference degree is greater, the corrected abnormal fluctuation factor is smaller; conversely, the corrected abnormal fluctuation factor is larger.

[0086] Thus, the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device is obtained.

[0087] Step S004: Obtain 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; adjust the preset time interval through the corrected abnormal fluctuation factor and the failure probability to obtain the adjusted sampling time interval of each electrical device, and obtain data during the relay protection debugging process through the adjusted sampling time interval.

[0088] It should be noted that the greater the rated power of an electrical device, the greater the current corresponding to the electrical device may be. In this way, overcurrent will make the electrical device more prone to failure. Moreover, devices that start and stop frequently will have load changes. When the load changes, large current fluctuations will occur. The current fluctuations will affect signal transmission through electrical lines, generating noise, errors or data loss, resulting in fluctuations in electrical signal data. Further, it should be noted that the longer the service life of a device, the greater the likelihood of the device failing. Therefore, the failure probability of each electrical device is obtained by analyzing the number of starts and stops of each electrical device, the rated power of each electrical device, and the service life.

[0089] 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;

[0090] The number of times each electrical device is started and stopped in a week is recorded as the frequent factor of each electrical device;

[0091] The failure probability is specifically expressed by the formula:

[0092]

[0093] In the formula, represents the rated power of each electrical device, represents the frequent factor of each electrical device, represents the service life of each electrical device, represents rounding up the service life of each electrical device, represents the failure probability of each electrical device, represents the linear normalization function.

[0094] Among them, when the rated power, frequent factor, and service life of each electrical device are greater, the failure probability of each electrical device is greater; conversely, the failure probability of each electrical device is smaller.

[0095] Thus, the failure probability of each electrical device is obtained.

[0096] It should be noted that when the failure probability of each electrical device is higher and the correction abnormal fluctuation factor of the filtered electrical signal of each electrical device is larger, it indicates that the electrical signal of the electrical device is more prone to abnormal fluctuations. Therefore, during the relay protection debugging process, it is necessary to increase the sampling frequency at equal intervals for the electrical device, so that more detailed information can be collected. For electrical devices with a smaller failure probability and a smaller correction abnormal fluctuation factor, it indicates that the electrical signal of the electrical device is more normal and stable. For a more stable electrical signal, frequent sampling is not required. Frequent sampling of a more stable electrical signal will not only increase the data storage space but also increase the calculation amount.

[0097] Specifically, according to the correction abnormal fluctuation factor and the failure probability, a sampling frequency adjustment factor for each electrical device is obtained. The sampling frequency adjustment factor is specifically expressed by the formula:

[0098]

[0099] In the formula, represents the failure probability of each electrical device, represents the correction abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the sampling frequency adjustment factor of each electrical device, represents the exponential function with the natural constant as the base.

[0100] Thus, the sampling frequency adjustment factor for each electrical device is obtained.

[0101] According to the sampling frequency adjustment factor of each electrical device, the preset time interval is adjusted to obtain the adjusted sampling time interval for each electrical device. The adjusted sampling time interval is specifically expressed by the formula:

[0102]

[0103] In the formula, represents the preset sampling interval, represents the adjusted sampling time interval for each electrical device, represents the sampling frequency adjustment factor of each electrical device.

[0104] Then, data acquisition during the relay protection debugging of the generator set is carried out through the adjusted sampling time interval.

[0105] It should be noted that in order to verify the performance improvement of the adjusted sampling time interval of each electrical device on the overall effect, a generator set model is constructed through a power system simulation software (MATLAB / Simulink), and different fault scenarios are injected; then sampling is carried out through the adjusted sampling time interval, and the sampled data is used as the control group; then several sampling time intervals are randomly selected for sampling, and the data sampled by several sampling time intervals is used as several experimental groups; then, through the data of one control group and several experimental groups, fault analysis is carried out during the relay protection debugging of the generator set. By comparing the analysis results of one control group and several experimental groups with the injected fault scenarios, the performance improvement of the adjusted sampling time interval on the overall effect is determined.

[0106] It should be noted that the model used in this embodiment is only used to represent the negative correlation relationship and restrict the result of the model output to be within the interval. Specifically, in implementation, it can be replaced with other models with the same purpose. This embodiment only takes the model as an example for description, and does not specifically limit it, where refers to the input of the model.

[0107] For example Figure 2 As shown, the second aspect of the present invention is to provide a device related to the relay protection debugging of a generator set, including the following modules:

[0108] Data acquisition module 101: used to obtain the electrical signal data of each electrical device in the generator set power grid;

[0109] Data preprocessing module 102: used to filter the electrical signal data to obtain filtered electrical signals;

[0110] 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 within 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;

[0111] Equidistant adjustment module 104: used to obtain 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; adjust the preset time interval through the corrected abnormal fluctuation factor and the failure probability to obtain the adjusted sampling time interval of each electrical device, and obtain the data during the relay protection debugging of the generator set through the adjusted sampling time interval.

[0112] 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. When the processor executes the computer program, a debugging method for relay protection of a generator set is implemented.

[0113] The fourth aspect of the present invention is to provide a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, a debugging method for relay protection of a generator set is implemented.

[0114] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can 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.

[0115] The present invention is described with reference to the 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 flowcharts and / or block diagrams, and the combination of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the specified functions in one Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0116] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means for implementing the specified functions in one Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0117] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the specified functions in one Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0118] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent substitutions can still be made to the specific embodiments of the present invention, and any modification or equivalent substitution that does not depart from the spirit and scope of the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for debugging relay protection of a generator set, characterized in that, Including: Obtaining the electrical signal data of each electrical device in the generator set power grid; Performing filtering processing on the electrical signal data to obtain filtered electrical signals; 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; According to the distances between each electrical device and all electrical devices within the corresponding preset neighborhood, and the cross-correlation values 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, including taking each electrical device as the center and according to the preset radius to obtain a circular preset neighborhood; according to the distances between each electrical device and all electrical devices within the corresponding preset neighborhood, and the cross-correlation values between the filtered electrical signals, obtain the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood, and the interference degree is expressed by the formula: In the formula, represents the distance between each electrical device and the th electrical device within the corresponding preset neighborhood, represents the cross-correlation value between the filtered electrical signals corresponding to each electrical device and the th electrical device within the corresponding preset neighborhood; is the absolute value symbol, represents the total number of all electrical devices within the corresponding preset neighborhood for each electrical device, represents the degree of interference between each electrical device and all electrical devices within the corresponding preset neighborhood; represents the cumulative sum of the ratio of the absolute value of the cross-correlation value between all electrical devices to the distance; According to the interference degree between each electrical device and all electrical devices in the corresponding preset neighborhood, correcting 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, and the corrected abnormal fluctuation factor is expressed by the formula: In the formula, represents the abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the exponential function with the natural constant as the base; 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, including recording the number of times each electrical device is started and stopped in a week as the frequent factor of each electrical device; Wherein, represents the rated power of each electrical device, represents the frequent factor of each electrical device, represents the service life of each electrical device, represents rounding up the service life of each electrical device, represents the failure probability of each electrical device, represents a linear normalization function; by means of the corrected abnormal fluctuation factor and the failure probability, the preset time interval is adjusted to obtain the adjusted sampling time interval for each electrical device, and data acquisition in the relay protection debugging process of the generator set is carried out through the adjusted sampling time interval.

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

3. A method for commissioning relay protection of a generator set according to claim 1, characterized in that, The performing of filtering processing on the electrical signal data to obtain filtered electrical signals includes: Screening out the preset working interference frequency in the electrical signal data of each electrical device through a notch filtering function, and retaining the remaining frequencies after screening as the frequencies after pre-filtering processing; Recording the electrical signal data after pre-filtering processing as the filtered electrical signal.

4. A method for commissioning relay protection of a generator set according to claim 1, characterized in that, The obtaining of 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 is specifically expressed by the formula: Wherein, represents the th maximum value in the filtered electrical signal of each electrical device, represents the th maximum value in the filtered electrical signal of each electrical device, represents the number of all maximum values in the filtered electrical signal of each electrical device, represents the th minimum value in the filtered electrical signal of each electrical device, represents the th minimum value in the filtered electrical signal of each electrical device, represents the number of all minimum values in the filtered electrical signal of each electrical device; is the absolute value symbol, represents the abnormal fluctuation factor of the filtered electrical signal of each electrical device; Among them, 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 of each electrical device.

5. A method for debugging relay protection of a generator set according to claim 1, characterized in that, Adjusting the preset time interval through the corrected abnormal fluctuation factor and the failure probability to obtain the adjusted sampling time interval of each electrical device, and obtaining data during the relay protection debugging of the generator set through the adjusted sampling time interval, including: Obtaining the sampling frequency adjustment factor of each electrical device according to the corrected abnormal fluctuation factor and the failure probability, and the sampling frequency adjustment factor is specifically expressed by the formula: In the formula, represents the failure probability of each electrical device, represents the correction abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the sampling frequency adjustment factor of each electrical device, represents the exponential function with the natural constant as the base; Adjusting the preset time interval according to the sampling frequency adjustment factor of each electrical device to obtain the adjusted sampling time interval of each electrical device, and the adjusted sampling time interval is specifically expressed by the formula: Wherein, represents a preset sampling interval, represents the adjusted sampling time interval of each electrical device; Then obtaining data during the relay protection debugging of the generator set through the adjusted sampling time interval.

6. A device related to the relay protection debugging of a generator set, characterized in that, Including: Data acquisition module: used to obtain the electrical signal data of each electrical device in the generator set power grid; Data preprocessing module: used to perform filtering processing on 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 distances between each electrical device and all electrical devices within the corresponding preset neighborhood, and the cross-correlation values 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, including using each electrical device as the center and according to the preset radius to obtain a circular preset neighborhood; according to the distances between each electrical device and all electrical devices within the corresponding preset neighborhood, and the cross-correlation values between the filtered electrical signals, obtain the interference degree between each electrical device and all electrical devices within the corresponding preset neighborhood, and the interference degree is expressed by the formula: In the formula, represents the distance between each electrical device and the th electrical device within the corresponding preset neighborhood, represents the cross-correlation value between the filtered electrical signal corresponding to each electrical device and the th electrical device within the corresponding preset neighborhood; is the absolute value symbol, represents the total number of all electrical devices within the corresponding preset neighborhood for each electrical device, represents the degree of interference between each electrical device and all electrical devices within the corresponding preset neighborhood; represents the cumulative sum of the ratio of the absolute value of the cross-correlation value between all electrical devices to the distance; According to the interference degree between each electrical device and all electrical devices in the corresponding preset neighborhood, correcting 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, and the corrected abnormal fluctuation factor is expressed by the formula: In the formula, represents the abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the corrected abnormal fluctuation factor of the filtered electrical signal of each electrical device, represents the exponential function with the natural constant as the base; Equal interval adjustment module: used to obtain 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, including recording the number of times each electrical device is started and stopped in a week as the frequent factor of each electrical device; wherein, represents the rated power of each electrical device, represents the frequency factor of each electrical device, represents the service life of each electrical device, represents rounding up the service life of each electrical device, represents the failure probability of each electrical device, represents a linear normalization function; by means of the corrected abnormal fluctuation factor and the failure probability, the preset time interval is adjusted to obtain the adjusted sampling time interval of each electrical device, and data acquisition in the relay protection debugging process of the generator set is carried out through the adjusted sampling time interval.

7. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method for debugging relay protection of a generator set according to any one of claims 1-5.

8. 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, it implements the method for debugging relay protection of a generator set according to any one of claims 1-5.

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