Algorithm importable power system dynamic recording device and method

Abstract

The invention discloses an algorithm importable power system dynamic recording device and method, and the device comprises a signal collection module which is used for collecting a power frequency signal and a high frequency signal of a power system; the management unit module is used for receiving the power frequency signal and the high frequency signal acquired by the signal acquisition module and storing the received power frequency signal and the high frequency signal in different storage intervals; for each storage interval, converting the signal stored in the storage interval into recording data, and analyzing the recording data in the storage interval by using the algorithm model file stored in the storage interval to obtain a fault result; obtaining a power system fault report according to the two fault results; and the algorithm processing module is used for acquiring an algorithm model file and importing the algorithm model file into a corresponding storage interval of the management unit module, so that the flexibility and the accuracy of algorithm application of the dynamic recording device of the power system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of relay protection of electric power systems, and in particular to an algorithm-introducible dynamic recording device and method for electric power systems. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Power system dynamic recording devices (also called fault recording devices) are widely used in power systems and are used in substations, power plants, and new energy plants and stations, and play an important role. The data recorded by the power system dynamic recording device is an important basis for system operation analysis and fault analysis.

[0004] With the widespread application of high-tech technologies such as high-voltage transmission, DC transmission, and flexible DC transmission, new requirements have been put forward for the fault judgment of power system dynamic recording devices. At present, power system dynamic recording device manufacturers generally use program customization to achieve these special application requirements. The personalized customization of the program requires comprehensive testing of the device. The maintenance cost of personalized customized software is high, and once the personalized customization of the program in the power system dynamic detection device is completed, it cannot be changed. Limited by current conditions, many reliable algorithms for power fault judgment cannot be applied more flexibly. Summary of the invention

[0005] In order to solve the above problems, the present invention proposes an algorithm-importable power system dynamic recording device and method, which has an algorithm importing function and improves the flexibility of algorithm application of the power system dynamic recording device.

[0006] To achieve the above object, the present invention adopts the following technical solution:

[0007] In the first aspect, a power system dynamic recording device into which an algorithm can be imported is proposed, comprising:

[0008] Signal acquisition module, used to collect power frequency signals and high frequency signals of the power system;

[0009] The management unit module is used to receive the power frequency signal and the high frequency signal collected by the signal collection module, and store the received power frequency signal and the high frequency signal in different storage intervals; for each storage interval, the signal stored in the storage interval is converted into recording data, and the recording data in the storage interval is analyzed by using the algorithm model file stored in the storage interval to obtain the fault result; according to the two fault results, a power system fault report is obtained;

[0010] The algorithm processing module is used to obtain the algorithm model file and import the algorithm model file into the corresponding storage interval of the management unit module.

[0011] Furthermore, the management unit module is used to set the start conditions of the algorithm model file stored in each storage interval; when the signal stored in the storage interval meets the start conditions, the stored algorithm model file is started to analyze the recorded data generated by the signal.

[0012] Furthermore, the signal acquisition module includes a power frequency acquisition module and a high frequency acquisition module;

[0013] Power frequency acquisition module, used to collect power frequency signals of power system;

[0014] High-frequency acquisition module, used to collect high-frequency signals from the power system.

[0015] Furthermore, it also includes a time synchronization module;

[0016] The timing module is used to output the clock signal and send the clock signal to the power frequency acquisition module and the high frequency acquisition module;

[0017] The power frequency acquisition module and the high frequency acquisition module are used to synchronously acquire the power frequency signal and the high frequency signal of the power system according to the clock signal.

[0018] Furthermore, it also includes a human-computer interaction module;

[0019] The human-computer interaction module is used to display and export the power system fault report obtained by the management unit module.

[0020] Further, the management unit module is used to determine the fault time based on the recorded data obtained from the power frequency signal;

[0021] According to the fault time, the traveling wave head and the reflected wave head of the recorded data obtained by the high-frequency signal are determined.

[0022] Furthermore, the algorithm processing module is used to convert the acquired algorithm model file into a specific format file algorithm, and import the specific format file algorithm into a corresponding storage interval of the management unit module.

[0023] Furthermore, each storage interval of the management unit stores the recorded data and corresponding fault results obtained in the storage interval.

[0024] Furthermore, the management unit module is used to call the recorded data and the fault results corresponding to the recorded data stored in the storage interval after importing the new algorithm model file; start the new algorithm model file to analyze the called recorded data to obtain a new fault result; when the accuracy of the new fault result is better than the called fault result; solidify the new algorithm model file into the storage interval and update the original algorithm model file in the storage interval.

[0025] In the second aspect, a recording method of a power system dynamic recording device into which an algorithm can be introduced is proposed, comprising:

[0026] Import the algorithm model file into the corresponding storage interval of the management unit module for storage;

[0027] Collect the power frequency signal and high frequency signal of the power system through the signal acquisition module;

[0028] The management unit module stores the industrial frequency signal and the high frequency signal collected by the signal collection module in different storage intervals;

[0029] For each storage interval, the signal stored in the storage interval is converted into recorded wave data, and the recorded wave data in the storage interval is analyzed using the algorithm model file stored in the storage interval to obtain the fault result;

[0030] Based on the two fault results, a power system fault report is obtained.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] The present invention proposes an algorithm-importable power system dynamic recording device and method. The device can import the algorithm model file into the corresponding storage interval of the management unit module by setting an algorithm processing module, and update the algorithm in the management unit module; and two storage intervals are set in the management unit module, and the two storage intervals process the traveling wave signal and the high-frequency signal respectively to form traveling wave recording data and high-frequency traveling wave recording data; then, the respectively stored algorithms are applied to process the respectively obtained recording data to obtain the fault result; the two fault results are combined to obtain the power system fault report, thereby improving the accuracy of obtaining the power system fault report; and it is possible to realize the separate update of the algorithm model file stored in each storage interval in the power system dynamic recording device, thereby improving the flexibility of algorithm application of the power system dynamic recording device.

[0033] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The drawings in the specification, which constitute a part of the present application, are used to provide further understanding of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute improper limitations on the present application.

[0035] Figure 1 A structural block diagram of a power system dynamic recording device into which an algorithm disclosed in an embodiment can be introduced;

[0036] Figure 2The waveform of the original sample value and the calculated effective value disclosed in the embodiment;

[0037] Figure 3 A high-frequency traveling wave disturbance occurs in a power system fault disclosed in the embodiment;

[0038] Figure 4 A virtual channel configured as disclosed in the embodiment;

[0039] Figure 5 The peak point of the traveling wave of the current channel marked by the application algorithm disclosed in the embodiment;

[0040] Figure 6 The channel parameters in the start condition disclosed in the embodiment;

[0041] Figure 7 The sequence component parameter in the start condition disclosed in the embodiment;

[0042] Figure 8 The power line parameters in the startup conditions disclosed in the embodiment;

[0043] Fig. 9 The frequency start parameter in the start condition disclosed in the embodiment;

[0044] Fig.10 A tool for converting the algorithm model file format disclosed in the embodiment;

[0045] Fig.11 A data processing flow chart of a power system dynamic recording device that can be imported into an algorithm disclosed in an embodiment;

[0046] Fig.12 After the management unit module disclosed in the embodiment imports a new algorithm model file, the algorithm model file is verified;

[0047] Fig.13 A flowchart of a new algorithm model file import management unit module disclosed in the embodiment;

[0048] Fig.14 A schematic diagram of setting a virtual channel disclosed in an embodiment;

[0049] Fig.15 This is a schematic diagram of the group merging settings disclosed in the embodiment. DETAILED DESCRIPTION

[0050] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0051] It should be noted that the following detailed descriptions are illustrative and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present application belongs.

[0052] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0053] Example 1

[0054] In order to improve the flexibility of the algorithm application of the power system dynamic recording device, in this embodiment, an algorithm-introducible power system dynamic recording device is disclosed, such as Figure 1-Figure 15 As shown, including:

[0055] Signal acquisition module, used to collect power frequency signals and high frequency signals of the power system;

[0056] The management unit module is used to receive the power frequency signal and the high frequency signal collected by the signal collection module, and store the received power frequency signal and the high frequency signal in different storage intervals; for each storage interval, the signal stored in the storage interval is converted into recording data, and the recording data in the storage interval is analyzed by using the algorithm model file stored in the storage interval to obtain the fault result; according to the two fault results, a power system fault report is obtained;

[0057] The algorithm processing module is used to obtain the algorithm model file and import the algorithm model file into the corresponding storage interval of the management unit module.

[0058] Among them, the signal acquisition module includes an industrial frequency acquisition module and a high frequency acquisition module;

[0059] Power frequency acquisition module, used to collect power frequency signals of power system;

[0060] High-frequency acquisition module, used to collect high-frequency signals from the power system.

[0061] The algorithm disclosed in this embodiment can be imported into a power system dynamic recording device, which also includes a time synchronization module;

[0062] The timing module is used to output the clock signal and send the clock signal to the power frequency acquisition module and the high frequency acquisition module;

[0063] The power frequency acquisition module and the high frequency acquisition module are used to synchronously acquire the power frequency signal and the high frequency signal of the power system according to the clock signal.

[0064] Preferably, the timing module is connected to a B code signal or a satellite / BD antenna to output a high-precision clock signal.

[0065] The high-frequency acquisition module controls the high-speed AD through the controller to achieve high-speed acquisition, data caching and data preprocessing of high-frequency signals to obtain the high-frequency signal of the power system.

[0066] The power frequency acquisition module includes an analog quantity acquisition module, a switch quantity acquisition module and a control unit module.

[0067] The analog quantity acquisition module is used to collect the power frequency analog quantity of the power system, and convert the collected power frequency analog quantity into a digital signal through a voltage / current transmitter, and then send the digital signal to the control unit module.

[0068] The switch quantity acquisition module is used to collect the switch quantity signals of the power system and send the collected switch quantity signals to the control unit through the photoelectric isolation module.

[0069] The switch quantity signals collected by the switch quantity acquisition module include 220V, 110V and 24V switch quantity signals.

[0070] The control unit module performs format encoding on the digital signal transmitted by the analog quantity acquisition module and the switch quantity model sent by the switch quantity acquisition module to obtain the power system power frequency signal; then, the power system power frequency signal is transmitted to the management unit module through the data transmission interface. At the same time, it is responsible for the management of the timing module and provides B code signals for the high-frequency acquisition module and the management board.

[0071] Preferably, the data transmission interface is a Gigabit SGMII interface.

[0072] The controllers in the control unit module and the high-frequency acquisition module all use FPGA.

[0073] The management unit module disclosed in this embodiment can perform fault data recording, steady-state data recording (in sampling point format) and high-frequency fault data recording, data processing, fault distance measurement and communication.

[0074] Specifically, the management unit module is used to determine the fault time based on the recorded data obtained from the power frequency signal;

[0075] According to the fault time, the traveling wave head and the reflected wave head of the recorded data obtained by the high-frequency signal are determined.

[0076] Preferably, the management unit module is used to use the impedance method stored in one of the storage intervals to perform ranging analysis on the recorded wave data generated by the power frequency signal stored in the interval to obtain the impedance method ranging result, which is the power frequency fault result; and use the traveling wave method stored in another storage interval to perform ranging analysis on the recorded wave data generated by the high frequency signal stored in the interval to obtain the traveling wave method ranging result, which is the high frequency fault result. Since the sampling frequency of the high frequency traveling wave is high, while the sampling frequency of the power frequency recorded wave data is relatively low and the power frequency recording time requirement is relatively long, the fault start and end times corresponding to the two types of recorded wave data are different. Therefore, when measuring the distance, the fault time determined by the impedance method is sent to the traveling wave method for ranging. The traveling wave method uses the fault time provided by the impedance method as a reference to search and identify the traveling wave head and the reflected wave head of the recorded wave data generated by the high frequency signal. Finally, a comprehensive analysis is performed based on the impedance ranging result and the traveling wave ranging result to give the final ranging result, which is the power system fault report.

[0077] The management unit module is used to set the start conditions of the algorithm model file stored in each storage interval; when the signal stored in the storage interval meets the start conditions, the stored algorithm model file is started to analyze the recorded data generated by the signal.

[0078] like Figure 6-Figure 9 As shown, various startup conditions set in the management unit module.

[0079] In addition, each storage interval of the management unit stores the recorded wave data and the corresponding fault results obtained in the storage interval.

[0080] The algorithm processing module of this embodiment is used to convert the acquired algorithm model file into a specific format file algorithm, and import the specific format file algorithm into the corresponding storage interval of the management unit module.

[0081] like Fig.10 As shown, the algorithm processing module is equipped with a conversion tool for algorithm model files, which can convert the common algorithms used for power system fault identification into files of a specific format that can be used by the management unit module for use by the management unit module.

[0082] The management unit module is used to call the recorded data and the fault results corresponding to the recorded data stored in the storage interval after importing a new algorithm model file; start the new algorithm model file to analyze the called recorded data to obtain a new fault result; when the accuracy of the new fault result is better than the called fault result; solidify the new algorithm model file into the storage interval and update the original algorithm model file in the storage interval.

[0083] The algorithm disclosed in this embodiment can be imported into the power system dynamic recording device, which also includes a human-computer interaction module;

[0084] The human-computer interaction module is used to display and export the power system fault report obtained by the management unit module.

[0085] Preferably, the human-machine interaction module provides a human-machine interface and a display screen.

[0086] The display screen displays the power system fault report; the human-machine interface includes a printing interface and a USB interface; the printing interface can be connected to an external printer, and the USB interface can be connected to an external USB mobile disk and hard disk, etc. The power system fault report can be exported through the printing interface and the USB interface.

[0087] In this embodiment, the management unit module and the human-computer interaction module can also be combined into one module, so that the combined module has both data processing and human-computer interaction functions, thereby reducing the number of cards issued and reducing costs.

[0088] The analog quantity acquisition module of this embodiment can collect a maximum of 96 analog quantities; the switch quantity acquisition module can collect a maximum of 192 switch quantities; and the high-frequency acquisition module can collect a maximum of 72 current signals.

[0089] The maximum sampling rate of the industrial frequency signal in this embodiment is 20kHz; the sampling rate of the high-frequency signal is 2MHz; the startup accuracy of each algorithm includes: over-limit startup: better than 2%; sudden change startup: better than 5%; switching quantity: <1ms; timing accuracy includes: differential B code: synchronization error ≤1us; electrical B code: synchronization error ≤1us; satellite / BD antenna reception: synchronization error ≤1us.

[0090] A power system dynamic recording device* (hereinafter referred to as the device) that can be imported by an algorithm disclosed in this embodiment is described in detail. The power system dynamic recording device that can be imported by an algorithm disclosed in this embodiment is installed in a substation to collect electrical quantities of various parts of the power system, such as: bus voltage, line current, voltage and current on each side of the transformer, protection device position signal, switch and circuit breaker position signal, etc. The electrical quantities collected by the device are divided into two types: analog signals and switch signals. Analog signals include power frequency analog signals and high-frequency analog signals. For analog signals, its original data is [sample point 1 sampling data, sample point 2 sampling data, ..., sample point N sampling data]. For example, if the sampling rate of the device is 10kHz, then N = 10000, that is, 10000 samplings are achieved in 1 second. For each sampled data, there is a certain sampling bit width, such as 16-bit sampling, then the sample point 1 sampling data is a 16-bit signed binary number. For switch quantity signals, its original data is also arranged as [switch quantity data of sample point 1, switch quantity data of sample point 2, ..., switch quantity data of sample point N]. The difference is that the switch quantity data is a state quantity, which is divided into two states: "high" and "low", and is represented by a binary number, that is, "0" or "1".

[0091] There are generally two ways for the device to obtain the above-mentioned sampling data, local sampling and digital sampling. Local sampling is achieved through transmission and AD sampling (analog-to-digital conversion); while digital sampling is obtained by receiving digital messages and extracting sample point data in the messages. The sampling data obtained by these two methods can be used by the device later.

[0092] The device needs to process the original sample data. Generally, the "Fourier transform" is used to calculate the effective value of the fundamental wave and the effective value of the harmonic wave. The calculated effective value is vector data, that is, it has a modulus and a phase. The device "Fourier transform" generally selects the sample data of one cycle (20 milliseconds) of the power system for transformation. Figure 2 As shown, the red box on the left is the waveform drawn based on the original sample points, and the red box on the right is the effective value calculated after Fourier transform.

[0093] By default, the device will perform effective value and harmonic calculations on all configured sampling channels, thereby obtaining effective value data and harmonic value data for all physical channels (channels with external wiring) and digital channels (channels accessed through digital messages). However, for the algorithm that the user will apply, these basic data may not be sufficient to support the application of the algorithm. This requires virtual channels and group merging to achieve this. For example, the user may need to calculate the difference between the bus current and each outgoing line current to determine whether there is a differential current in the bus, which can indicate whether there is a short circuit fault in the bus. For example, the user may need to calculate the line voltage through the effective value of the two phases AB of the phase voltage. This requires the effective value vector of the phase A channel to be subtracted from the effective value vector of the phase B channel. Both of these situations can be achieved through virtual channels, thereby ensuring the flexibility of the algorithm calculation. The group merging function is similar. For example, if you need to calculate the difference between the outgoing line current 1 (four-phase current of A, B, C, 0) and the outgoing current 2 (four-phase current of A, B, C, 0), you can set the group merging and subtract the two groups of electrical quantities. Because the front-end computing CPU of the device generally has powerful data computing capabilities and uses a real-time operating system, such as Fig.14 , 15 As shown, by configuring virtual channels and grouping and merging data, the real-time and effectiveness of the calculated data can be guaranteed, avoiding occupying the resources of the algorithm processor and improving the algorithm calculation efficiency. The calculation process of this section is the process of generating recorded data according to the corresponding signal in the management unit module.

[0094] To summarize the above description, the step of "data processing and data calculation method setting" can flexibly calculate the required data through virtual channels and group merging to support the needs of subsequent algorithm calculations. The advantages of this method are: it fully utilizes the advantages of fast calculation speed and high real-time performance of the pre-calculation CPU to provide the required data for algorithm calculations in the subsequent management unit module, avoids occupying algorithm processor resources, and can improve the speed of subsequent algorithm calculations; it is highly flexible and can configure and adjust the amount of data to be calculated to avoid frequent changes in the pre-calculation program.

[0095] by Figure 3 Taking a power system fault as an example, a short circuit fault occurred between the AC phases of line 1, and the fault generated a high-frequency traveling wave. Due to the complexity of the system, the generated traveling wave clutter interference is large, and the device cannot accurately locate the time when the traveling wave is generated. When the algorithm is improved, the new algorithm model file is imported into the management unit module, and the fault is reproduced to verify the effectiveness of the imported algorithm.

[0096] For phase-to-phase faults, the difference between the two-phase currents can enhance the signal characteristics and make it easier to locate the peak position of the traveling wave. Figure 4 As shown, configure a virtual channel "Line 1AC".

[0097] The new algorithms include EEMD (Empirical Mode Decomposition) algorithm, Teager energy operator and peak search algorithm. The EEMD (Empirical Mode Decomposition) algorithm can suppress waveform interference and improve the recognition rate of traveling wave waveforms. The Teager energy operator is used to enhance the traveling wave peak signal characteristics and smooth the waveform interference. The peak search algorithm is then used to locate the traveling wave peak position point. The management unit module first forms the recording data for algorithm calls. The EEMD (Empirical Mode Decomposition) algorithm, Teager energy operator and peak search algorithm code are obtained, and the obtained algorithm code is compiled using the software development kit (SDK) to obtain the algorithm model file, and then the algorithm model file is downloaded to the corresponding storage interval of the management unit module through the algorithm driver file.

[0098] Since the parameters and start-up conditions have not changed, no adjustment is required.

[0099] Use the relay protection tester to replay the fault, and the device will start recording when the fault reappears. After the device starts recording, the management unit module calls the imported algorithm model file, starts the calculation, and outputs the result to the set location.

[0100] Check the output of the newly imported algorithm model file as follows Figure 5 As shown in the figure, the amplitude of the traveling wave signal of the "virtual channel line 1AC original waveform" is obvious, but there is still clutter interference. After the EEMD (empirical mode decomposition) algorithm and the Teager energy operator calculation, it can be seen that the traveling wave signal has obvious characteristics, the noise is obviously suppressed, and the traveling wave signal is correctly calibrated, that is, the accuracy of the output result of the newly imported algorithm model file is better than the previous fault result. This quickly verifies the effectiveness of the newly imported algorithm, and the algorithm model file can be directly solidified and applied to the actual use of the device in the future.

[0101] like Fig.11 , Fig.12 As shown, an algorithm disclosed in this embodiment can be imported into a power system dynamic recording device, which starts signal recording according to the start conditions pre-configured in the management unit module. After that, the calculated recorded data, which is the time series sampling data, is converted into two-dimensional data using the Gramian Angular Field (GAF), so that the mature algorithm models and technologies in the field of computer vision can be used to process the time series data.

[0102] The converted two-dimensional data is analyzed using an embedded neural network processor (NPU) prefabricated in the management unit module to obtain fault results such as power system fault time, fault type, traveling wave head and comprehensive fault, and a power system fault report is formed based on the fault results.

[0103] Afterwards, the power system fault reports obtained by the management unit module are integrated and output.

[0104] Subsequently, the power system fault report obtained by the management unit module can also be exported for review and analysis.

[0105] The present embodiment discloses an algorithm-importable power system dynamic recording device, which has an algorithm importing function, thereby improving the flexibility of algorithm application of the power system dynamic recording device, and obtaining corresponding fault results by separately analyzing traveling wave signals and high-frequency signals. Based on the two fault results, a power system fault report is obtained. Since the traveling wave signals and high-frequency signals are comprehensively considered, the accuracy of power system fault judgment is improved.

[0106] Example 2

[0107] In this embodiment, a recording method of a power system dynamic recording device into which an algorithm disclosed in Embodiment 1 can be introduced is disclosed, comprising:

[0108] Import the algorithm model file into the corresponding storage interval of the management unit module for storage;

[0109] Collect the power frequency signal and high frequency signal of the power system through the signal acquisition module;

[0110] The management unit module stores the industrial frequency signal and the high frequency signal collected by the signal collection module in different storage intervals;

[0111] For each storage interval, the signal stored in the storage interval is converted into recorded wave data, and the recorded wave data in the storage interval is analyzed using the algorithm model file stored in the storage interval to obtain the fault result;

[0112] Based on the two fault results, a power system fault report is obtained.

[0113] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with this embodiment can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0114] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. An algorithm-introducible power system dynamic recording device, characterized in that: include: Signal acquisition module, used to collect power frequency signals and high frequency signals of the power system; The management unit module is used to receive the power frequency signal and the high frequency signal collected by the signal collection module, and store the received power frequency signal and the high frequency signal in different storage intervals; for each storage interval, the signal stored in the storage interval is converted into recording data, and the recording data in the storage interval is analyzed by using the algorithm model file stored in the storage interval to obtain the fault result; according to the two fault results, a power system fault report is obtained; The algorithm processing module is used to obtain the algorithm model file and import the algorithm model file into the corresponding storage interval of the management unit module.

2. The algorithm-introducible power system dynamic recording device according to claim 1, characterized in that: The management unit module is used to set the start conditions of the algorithm model file stored in each storage interval; when the signal stored in the storage interval meets the start conditions, the stored algorithm model file is started to analyze the recorded data generated by the signal.

3. The algorithm-introducible power system dynamic recording device according to claim 1, characterized in that: The signal acquisition module includes an industrial frequency acquisition module and a high frequency acquisition module; Power frequency acquisition module, used to collect power frequency signals of power system; High-frequency acquisition module, used to collect high-frequency signals from power systems.

4. The algorithm-introducible power system dynamic recording device according to claim 3, characterized in that: It also includes a time synchronization module; The timing module is used to output the clock signal and send the clock signal to the power frequency acquisition module and the high frequency acquisition module; The power frequency acquisition module and the high frequency acquisition module are used to synchronously acquire the power frequency signal and the high frequency signal of the power system according to the clock signal.

5. The algorithm-introducible power system dynamic recording device according to claim 1, characterized in that: It also includes a human-computer interaction module; The human-computer interaction module is used to display and export the power system fault report obtained by the management unit module.

6. The algorithm-introducible power system dynamic recording device according to claim 1, characterized in that: A management unit module is used to determine the fault time based on the recorded data obtained from the power frequency signal; According to the fault time, the traveling wave head and the reflected wave head of the recorded data obtained by the high-frequency signal are determined.

7. The algorithm-introducible power system dynamic recording device according to claim 1, characterized in that: The algorithm processing module is used to convert the acquired algorithm model file into a specific format file algorithm and import the specific format file algorithm into the management unit module.

8. The algorithm-introducible power system dynamic recording device according to claim 1, characterized in that: Each storage interval of the management unit stores the recorded data and corresponding fault results obtained in the storage interval.

9. The algorithm-introducible power system dynamic recording device according to claim 8, characterized in that: The management unit module is used to call the recorded data and the fault results corresponding to the recorded data stored in the storage interval after importing the new algorithm model file; start the new algorithm model file to analyze the called recorded data to obtain a new fault result; when the accuracy of the new fault result is better than the called fault result; solidify the new algorithm model file into the storage interval and update the original algorithm model file in the storage interval.

10. A recording method for a power system dynamic recording device into which an algorithm can be introduced according to any one of claims 1 to 9, characterized in that: include: Import the algorithm model file into the corresponding storage interval of the management unit module for storage; Collect the power frequency signal and high frequency signal of the power system through the signal acquisition module; The management unit module stores the industrial frequency signal and the high frequency signal collected by the signal collection module in different storage intervals; For each storage interval, the signal stored in the storage interval is converted into recorded wave data, and the recorded wave data in the storage interval is analyzed using the algorithm model file stored in the storage interval to obtain the fault result; Based on the two fault results, a power system fault report is obtained.

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