Power quality transient disturbance analysis method and system based on phase robust kurtosis

Abstract

The application belongs to the technical field of power systems, and provides a power quality transient disturbance analysis method and system based on phase robust kurtosis, single-cycle waveform data of power quality transient disturbance is acquired, the acquired single-cycle waveform data is decomposed into a fundamental signal and a disturbance signal, and an initial disturbance phase is determined; according to the value of the initial disturbance phase, an optimal phase shift point is determined; the phase shift amount between the initial disturbance phase and the optimal phase shift point is calculated, and the disturbance phase after phase shift is calculated; the kurtosis of the phase-shifted waveform is calculated as the phase robust kurtosis, the phase robust kurtosis is compared with the monitoring threshold of the boundary of the preset different state monitoring range, and the state of the power quality transient disturbance is determined. The application realizes the robust and accurate characterization of the severity of the disturbance by introducing the optimal phase shift point to construct the phase-shifted waveform, thereby realizing the accurate and light characterization of the transient disturbance.

Description

Technical Field

[0001] This invention belongs to the field of power system technology, specifically relating to a method and system for analyzing transient power quality disturbances based on phase robust kurtosis. Background Technology

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

[0003] With the large-scale integration of new energy equipment into the power system, the power quality disturbance states of the system are becoming more variable and complex. Accurate characterization of power quality transient disturbances helps to ensure the reliable monitoring and stable operation of the power system.

[0004] Existing research has proposed disturbance characterization indices based on higher-order statistics for waveform data. Although these indices can achieve accurate characterization and alleviate the data dimensionality pressure of disturbance monitoring, traditional kurtosis indices suffer from severe phase sensitivity. That is, the phase difference between the disturbance signal and the fundamental signal in a periodic waveform will affect the kurtosis calculation result, resulting in significant differences in the kurtosis values ​​calculated for disturbance waveforms of the same severity. This characterization error will seriously affect the accuracy of disturbance monitoring and the effectiveness of targeted governance. Summary of the Invention

[0005] To address the aforementioned problems, this invention proposes a method and system for analyzing transient power quality disturbances based on phase robust kurtosis. This invention decomposes a single-cycle waveform into a fundamental signal and a disturbance signal, determines the peak and trough of the fundamental signal as the optimal phase shift points, calculates the phase shift from the initial disturbance phase to the optimal phase shift point, and thus calculates the phase shifted disturbance phase and the reconstructed waveform without changing the amplitude coefficient of the disturbance signal. Based on the reconstructed waveform, a phase robust kurtosis index is calculated. This index effectively avoids the characterization error caused by the initial phase of random disturbances, can characterize the severity of various transient disturbances, and achieves accurate and lightweight characterization.

[0006] According to some embodiments, the present invention adopts the following technical solution:

[0007] A power quality transient disturbance analysis method based on phase robust kurtosis includes the following steps:

[0008] Acquire single-cycle waveform data of transient power quality disturbances, decompose the acquired single-cycle waveform data into fundamental signal and disturbance signal, and determine the initial phase of the disturbance;

[0009] Determine the optimal phase shift point based on the initial phase value of the disturbance;

[0010] Calculate the phase shift between the initial phase of the disturbance and the optimal phase shift point, and calculate the phase of the disturbance after phase shift;

[0011] The kurtosis of the phase-shifted waveform is calculated as the phase robust kurtosis. The phase robust kurtosis is compared with the monitoring thresholds of different preset state monitoring ranges to determine the state of transient disturbances in power quality.

[0012] As an alternative implementation, during the acquisition of single-cycle waveform data, the zero-phase point is marked, with the point where the fundamental signal first crosses zero in the positive direction as the zero-phase point, and the single-cycle waveform data to be characterized is obtained by lagging one complete cycle from the zero-phase point.

[0013] As an alternative implementation, the process of determining the initial phase of the disturbance includes defining the initial phase of the disturbance as the phase difference between the phase of the disturbance signal and the zero phase.

[0014] As an alternative implementation, the process of determining the optimal phase shift point based on the value of the initial phase of the disturbance includes: determining the peak and trough of the fundamental signal as the optimal phase shift point; when the initial phase of the disturbance is [0, π), the peak of the fundamental signal at π / 2 is the optimal phase shift point; when the initial phase of the disturbance is [π, 2π), the trough of the fundamental signal at 3π / 2 is the optimal phase shift point.

[0015] As an alternative implementation, the process of calculating the phase shift between the initial phase of the disturbance and the optimal phase shift point, and calculating the phase-shifted disturbance phase, includes: calculating the phase shift difference between the initial phase of the disturbance and the optimal phase shift point to obtain the phase shift; summing the initial phase of the disturbance and the phase shift to obtain the phase-shifted disturbance phase; calculating the phase-shifted disturbance signal without changing the amplitude coefficient of the disturbance signal, and merging it with the fundamental signal to form a phase-shifted waveform.

[0016] As an alternative implementation, the process of calculating the kurtosis of the phase-shifted waveform, as the phase-robust kurtosis, includes: calculating the phase-robust kurtosis of the phase-shifted waveform:

[0017] ;

[0018] in, The phase robustness kurtosis index represents the transient disturbance signal. This represents the disturbance signal after phase shifting. Represents the expectation operator. represents the fundamental signal.

[0019] As an optional implementation method, the process of presetting monitoring thresholds for different state monitoring range boundaries includes: dividing the monitoring range into three categories: normal, slightly exceeding the standard, and severely exceeding the standard. The monitoring threshold for normal disturbance is defined as T1, and the monitoring threshold for slightly exceeding the standard is defined as T2. When the phase robust kurtosis is less than T1, it indicates that the current disturbance is in a normal state; when the phase robust kurtosis index is less than T2, it indicates that the current disturbance is slightly exceeding the standard; when the phase robust kurtosis is greater than or equal to T2, it indicates that the current disturbance is moderately exceeding the standard.

[0020] A power quality transient disturbance analysis system based on phase robust kurtosis includes:

[0021] The data acquisition module is configured to acquire single-cycle waveform data of transient power quality disturbances, decompose the acquired single-cycle waveform data into a fundamental signal and a disturbance signal, and determine the initial phase of the disturbance.

[0022] The optimal phase shift point determination module is configured to determine the optimal phase shift point based on the value of the initial phase of the disturbance;

[0023] The phase-shifting module is configured to calculate the phase shift between the initial phase of the disturbance and the optimal phase-shifting point, and to calculate the phase of the disturbance after phase shifting.

[0024] The transient disturbance analysis module is configured to calculate the kurtosis of the phase-shifted waveform as the phase robust kurtosis. The phase robust kurtosis is compared with the monitoring thresholds of different preset state monitoring range boundaries to determine the state of transient disturbances in power quality.

[0025] A computer-readable storage medium for storing computer instructions, which, when executed by a processor, perform the steps in the above method.

[0026] An electronic device includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor, wherein the computer instructions, when executed by the processor, perform the steps in the method described above.

[0027] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0028] For various types of transient power quality disturbances, the phase robust kurtosis index proposed in this invention can achieve lightweight and accurate characterization and monitoring.

[0029] On the one hand, traditional indicators for transient disturbances are mostly classified evaluation and monitoring models. For example, the characterization indicators for transient pulses include amplitude coefficient, initial time, and duration; the characterization indicators for transient oscillations include oscillation coefficient, initial time, oscillation frequency, and attenuation coefficient; and the characterization indicators for periodic notches include notch count, notch depth, and duration. Traditional analysis models involve no fewer than 20 characterization indicators, leading to problems such as data redundancy, low utilization, and high data transmission pressure on edge devices. This invention starts from the periodic waveform of the transient disturbance itself and constructs a kurtosis index, which can more sensitively and comprehensively unify the characterization of waveform abrupt changes. It is applicable to comprehensive characterization scenarios for multiple types of transient disturbances, thus achieving lightweight characterization and monitoring data.

[0030] On the other hand, traditional kurtosis, as a lightweight characterization index for transient disturbances, suffers from phase sensitivity. The randomness of the initial phase of the disturbance significantly affects the calculation results of the traditional kurtosis index, leading to a substantial reduction in characterization and monitoring accuracy. This invention proposes an improved phase-robust kurtosis index. This index constructs a phase-shifted waveform by introducing an optimal phase-shift point, achieving robust and accurate characterization of the severity of the disturbance's initial phase, thus providing accurate and lightweight characterization.

[0031] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0032] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0033] Figure 1 This is a flowchart illustrating the calculation of a lightweight characterization index for power quality transient disturbances based on phase robust kurtosis, as described in Embodiment 1 of the present invention.

[0034] Figure 2 This is a schematic diagram of the phase-shifting waveform construction when the initial disturbance phase is [0, π) in Embodiment 1 of the present invention;

[0035] Figure 3 This is a schematic diagram of the phase-shifting waveform construction when the initial disturbance phase is [π, 2π) in Embodiment 1 of the present invention;

[0036] Figure 4 This is a flowchart of transient disturbance monitoring and analysis based on phase robust kurtosis in Embodiment 1 of the present invention;

[0037] Figure 5 This is a schematic diagram of the index calculation results under the initial phase change of transient pulse disturbance in Embodiment 1 of the present invention;

[0038] Figure 6 This is a schematic diagram of the index calculation results under the initial phase change of transient oscillation disturbance in Embodiment 1 of the present invention;

[0039] Figure 7 This is a schematic diagram of the index calculation results under the change of transient pulse disturbance amplitude coefficient in Embodiment 1 of the present invention. Detailed Implementation

[0040] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0041] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0042] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0043] Where there is no conflict, the embodiments and features described in this application may be combined with each other.

[0044] Example 1

[0045] A power quality transient disturbance analysis method based on phase robust kurtosis, such as Figure 1 As shown, it includes the following steps:

[0046] Acquire single-cycle waveform data of transient power quality disturbances, decompose the acquired single-cycle waveform data into fundamental signal and disturbance signal, and determine the initial phase of the disturbance;

[0047] Determine the optimal phase shift point based on the initial phase value of the disturbance;

[0048] Calculate the phase shift between the initial phase of the disturbance and the optimal phase shift point, and calculate the phase of the disturbance after phase shift;

[0049] The kurtosis of the phase-shifted waveform is calculated as the phase robust kurtosis. The phase robust kurtosis is compared with the monitoring thresholds of different preset state monitoring ranges to determine the state of transient disturbances in power quality.

[0050] The following is a detailed introduction:

[0051] In this embodiment, the point where the fundamental signal first crosses zero in the positive direction is taken as the zero phase, and the single-cycle waveform data to be characterized is obtained by lagging one complete cycle from the zero phase. Using algorithms such as Fourier decomposition, the obtained single-cycle waveform data is decomposed into the fundamental signal and the disturbance signal, and the initial phase of the disturbance is defined as the phase difference between the phase of the disturbance signal and the zero phase.

[0052] As one or more implementation methods, phase-shifted waveform construction is performed, including selecting the optimal phase-shift point, calculating the phase shift amount, calculating the disturbance phase after phase shift, and calculating the phase-shifted waveform, such as... Figure 2 As shown.

[0053] It should be noted that the optimal phase shift point refers to the peak and trough of the fundamental signal. When the initial phase of the disturbance is [0, π), the optimal phase shift point is the peak of the fundamental signal at π / 2; when the initial phase of the disturbance is [π, 2π), the optimal phase shift point is the trough of the fundamental signal at 3π / 2. The expression is as follows:

[0054] ;

[0055] in, Indicates the optimal phase shift point; This indicates the initial phase of the disturbance.

[0056] It should be noted that the phase shift refers to the phase shift difference between the initial phase of the disturbance and the optimal phase shift point, and the expression is as follows:

[0057] ;

[0058] In the formula: This indicates the phase shift of the disturbance signal.

[0059] It should be noted that the phase-shifted disturbance phase refers to the sum of the initial disturbance phase and the phase shift, resulting in the phase-shifted disturbance phase. The phase-shifted waveform refers to the calculated phase-shifted disturbance signal, which is then combined with the fundamental signal to form a phase-shifted waveform without changing the amplitude coefficient of the disturbance signal. The expression is as follows:

[0060] ;

[0061] In the formula, This indicates the disturbance signal after phase shifting; s ( t ) represents the fundamental signal; This represents the phase-shifted waveform synthesized from the first two. T This indicates the period length, typically 0.02s.

[0062] After phase shifting, under the condition of random initial phase of disturbance, the disturbance signal in the phase-shifted waveform of transient disturbance occurs at the peak or trough of the fundamental signal, thus providing a data basis for constructing the characterization index of phase robustness.

[0063] In this embodiment, the phase robustness kurtosis index of the phase-shifted waveform is calculated using the following expression:

[0064] ;

[0065] In the formula, The phase robustness kurtosis index represents the transient disturbance signal.

[0066] Since this index is calculated from the phase-shifted waveform (i.e., the phase-shifted waveform is the same under different initial phases but with the same amplitude coefficient), the calculation result of this index is only related to the disturbance amplitude coefficient and is not affected by the initial phase of the disturbance. Furthermore, this index is used to characterize the waveform features of the disturbance, thus it is applicable to characterizing different types of transient disturbances. In summary, the proposed phase robust kurtosis index can accurately characterize the severity of disturbances as a lightweight index and is unaffected by the initial phase.

[0067] In this embodiment, as Figure 4 As shown, the monitoring ranges for three categories of states—normal, slightly exceeding the standard, and severely exceeding the standard—are pre-divided, and monitoring thresholds for phase robust kurtosis at different range boundaries are set. Based on the calculation results of phase robust kurtosis, the state of transient disturbances in power quality is analyzed to determine whether they fall within the monitoring ranges of normal, slightly exceeding the standard, or severely exceeding the standard.

[0068] It should be noted that the monitoring thresholds for phase robust kurtosis at different range boundaries can be set according to monitoring needs and with reference to relevant standards. The monitoring threshold for normal disturbances is defined as T1, and the monitoring threshold for slight exceedances is defined as T2, which can be set according to needs or experience. Therefore, when the phase robust kurtosis is less than T1, it indicates that the current disturbance is in a normal state; when the phase robust kurtosis index is less than T2, it indicates that the current disturbance slightly exceeds the limit; and when the phase robust kurtosis is greater than or equal to T2, it indicates that the current disturbance moderately exceeds the limit.

[0069] To verify the effectiveness of the method proposed in this embodiment, single-cycle signals of three types of transient disturbances—transient pulses, transient oscillations, and periodic notch filters—were simulated in simulation software. The amplitude coefficients and initial phases of each disturbance were set to vary within corresponding intervals. The proposed phase robust kurtosis was calculated, and conventional kurtosis was also set. K T Kurtosis shifted to 0° K A1 kurtosis shifted to π / 4 K A2 As a reference indicator, the signal parameter settings for various disturbance conditions are shown in Table 1.

[0070] Table 1 Disturbance Periodic Signal Parameter Table

[0071]

[0072] Figure 5 The results of index calculation under the initial phase change of transient pulse disturbance are presented; Figure 6 The results of index calculation under the change of transient oscillation disturbance amplitude coefficient are presented; Figure 7 The results of index calculations under the change of transient pulse disturbance amplitude coefficient are presented.

[0073] Depend on Figure 5It can be seen that when the initial phase of the transient pulse disturbance changes, the proposed phase robust kurtosis remains unchanged, while the traditional kurtosis shows a significant amplitude change. Meanwhile, in Figure 6 The transient oscillation condition shown exhibits the same characteristics. This proves that the proposed index possesses phase robustness.

[0074] Depend on Figure 7 It can be seen that as the amplitude coefficient of the transient pulse increases, the proposed phase robust kurtosis also increases, and the numerical calculation result is greater than that of the other three kurtosis types. Meanwhile, in Figure 6 The transient oscillation condition shown exhibits the same characteristics. This demonstrates that the proposed index has the ability to characterize the severity of disturbances, and the numerical results are more significant than other kurtosis values, thus proving the effectiveness of selecting peaks and troughs as the optimal phase shift.

[0075] In addition, the monitoring accuracy based on phase robust kurtosis under each simulated working condition was calculated, as shown in Table 2.

[0076] Table 2 Calculation Results of Characterization Accuracy

[0077]

[0078] As shown in Table 2, compared with traditional kurtosis and other phase-shifted kurtosis, the proposed phase robust kurtosis has higher perturbation monitoring accuracy, proving that the proposed index has a better accurate characterization effect. At the same time, compared with the traditional transient perturbation evaluation system which contains at least 15 evaluation indexes, the proposed single index effectively reduces the dimensions of data computation, storage, and parallel uploading, realizing lightweight data monitoring and acquisition.

[0079] Example 2

[0080] A power quality transient disturbance analysis system based on phase robust kurtosis includes:

[0081] The data acquisition module is configured to acquire single-cycle waveform data of transient power quality disturbances, decompose the acquired single-cycle waveform data into a fundamental signal and a disturbance signal, and determine the initial phase of the disturbance.

[0082] The optimal phase shift point determination module is configured to determine the optimal phase shift point based on the value of the initial phase of the disturbance;

[0083] The phase-shifting module is configured to calculate the phase shift between the initial phase of the disturbance and the optimal phase-shifting point, and to calculate the phase of the disturbance after phase shifting.

[0084] The transient disturbance analysis module is configured to calculate the kurtosis of the phase-shifted waveform as the phase robust kurtosis. The phase robust kurtosis is compared with the monitoring thresholds of different preset state monitoring range boundaries to determine the state of transient disturbances in power quality.

[0085] Example 3

[0086] A computer-readable storage medium for storing computer instructions, which, when executed by a processor, perform the steps in the method provided in Embodiment 1.

[0087] Example 4

[0088] An electronic device includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor, wherein the computer instructions, when executed by the processor, perform the steps in the method provided in Embodiment 1.

[0089] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. 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. Furthermore, the present invention can take the form of one or more computer-usable storage media (including, but not limited to, disk storage, etc.) containing computer-usable program code. CD - ROM It takes the form of a computer program product implemented on (such as optical memory, etc.).

[0090] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0091] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0092] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0093] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made by those skilled in the art without creative effort within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A power quality transient disturbance analysis method based on phase robust kurtosis, characterized in that, Includes the following steps: Acquire single-cycle waveform data of transient power quality disturbances, decompose the acquired single-cycle waveform data into fundamental signal and disturbance signal, and determine the initial phase of the disturbance; Determine the optimal phase shift point based on the initial phase value of the disturbance; Calculate the phase shift between the initial phase of the disturbance and the optimal phase shift point, and calculate the phase of the disturbance after phase shift; The kurtosis of the phase-shifted waveform is calculated as the phase robust kurtosis. The phase robust kurtosis is compared with the monitoring thresholds of the preset monitoring ranges of different states to determine the state of transient disturbances in power quality. The process of determining the optimal phase shift point based on the initial phase of the disturbance includes: determining the peak and trough of the fundamental signal as the optimal phase shift point. When the initial phase of the disturbance is [0, π), the peak of the fundamental signal at π / 2 is the optimal phase shift point; when the initial phase of the disturbance is [π, 2π), the trough of the fundamental signal at 3π / 2 is the optimal phase shift point. The process of calculating the kurtosis of the phase-shifted waveform, as the phase robust kurtosis, includes: calculating the phase robust kurtosis of the phase-shifted waveform: ； in, The phase robustness kurtosis index represents the transient disturbance signal. This represents the disturbance signal after phase shifting. Represents the expectation operator. Represents the fundamental signal.

2. The power quality transient disturbance analysis method based on phase robust kurtosis as described in claim 1, characterized in that, In the process of acquiring single-cycle waveform data, the zero-phase point is marked. The point where the fundamental signal first crosses zero in the positive direction is taken as the zero-phase point, and the single-cycle waveform data to be characterized is obtained by lagging one complete cycle from the zero-phase point.

3. The power quality transient disturbance analysis method based on phase robust kurtosis as described in claim 1, characterized in that, The process of determining the initial phase of the disturbance includes defining the initial phase of the disturbance as the phase difference between the phase of the disturbance signal and the zero phase.

4. The power quality transient disturbance analysis method based on phase robust kurtosis as described in claim 1, characterized in that, The process of calculating the phase shift between the initial phase of the disturbance and the optimal phase shift point, and calculating the phase-shifted disturbance phase, includes: calculating the phase shift difference between the initial phase of the disturbance and the optimal phase shift point to obtain the phase shift; summing the initial phase of the disturbance and the phase shift to obtain the phase-shifted disturbance phase; calculating the phase-shifted disturbance signal without changing the amplitude coefficient of the disturbance signal, and merging it with the fundamental signal to form a phase-shifted waveform.

5. The power quality transient disturbance analysis method based on phase robust kurtosis as described in claim 1, characterized in that, a preset... The process of setting monitoring thresholds for different state monitoring range boundaries includes: dividing the monitoring range into three categories: normal, slightly exceeding the standard, and severely exceeding the standard. The monitoring threshold for normal disturbance is defined as T1, and the monitoring threshold for slightly exceeding the standard is defined as T2. When the phase robust kurtosis is less than T1, it indicates that the current disturbance is in a normal state; when the phase robust kurtosis index is less than T2, it indicates that the current disturbance is slightly exceeding the standard; when the phase robust kurtosis is greater than or equal to T2, it indicates that the current disturbance is moderately exceeding the standard.

6. A power quality transient disturbance analysis system based on phase robust kurtosis, employing the method described in claim 1, characterized in that, include: The data acquisition module is configured to acquire single-cycle waveform data of transient power quality disturbances, decompose the acquired single-cycle waveform data into a fundamental signal and a disturbance signal, and determine the initial phase of the disturbance. The optimal phase shift point determination module is configured to determine the optimal phase shift point based on the value of the initial phase of the disturbance; The phase-shifting module is configured to calculate the phase shift between the initial phase of the disturbance and the optimal phase-shifting point, and to calculate the phase of the disturbance after phase shifting. The transient disturbance analysis module is configured to calculate the kurtosis of the phase-shifted waveform as the phase robust kurtosis. The phase robust kurtosis is compared with the monitoring thresholds of different preset state monitoring range boundaries to determine the state of transient disturbances in power quality.

7. A computer-readable storage medium, characterized in that, Used to store computer instructions, which, when executed by a processor, complete the steps of the method according to any one of claims 1-5.

8. An electronic device, characterized in that, It includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor, which, when executed by the processor, perform the steps of the method according to any one of claims 1-5.

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