Synchronous phase modifier fault type diagnosis method, system, device and medium

Abstract

The invention belongs to the technical field of synchronous phase modifier fault diagnosis, and discloses a synchronous phase modifier fault type diagnosis method, system and device and a medium, and the method comprises the steps: collecting signal data used for representing armature current, excitation current, stator surface radial vibration and rotor radial vibration in a fault operation state of a synchronous phase modifier; extracting harmonic characteristic quantity; analyzing the fault type of the synchronous phase modifier by combining the change rule of the fault characteristic quantity to obtain a first fault type; identifying the fault type of the synchronous phase modifier based on a support vector machine technology to obtain a second fault type; and determining a final fault type of the synchronous phase modifier based on a comparison result. The method does not need to establish a physical model of the synchronous phase modifier to simulate the fault state, does not need to establish a complex test platform, can achieve the quick diagnosis of the fault type through testing the armature current, the excitation current and the radial vibration of the stator and the rotor in the fault operation state of the synchronous phase modifier, is simple in implementation, and is low in cost.

Description

Technical Field

[0001] The present invention relates to the technical field of synchronous condenser fault diagnosis, and in particular to a synchronous condenser fault type diagnosis method, system, equipment and medium. Background Art

[0002] With the vigorous development and large-scale application of UHV DC transmission projects in my country, the dynamic reserve and voltage support capacity of the DC transmission and receiving power grids are becoming increasingly insufficient, and problems such as converter commutation failure and voltage drop are becoming increasingly prominent. Synchronous condensers have become the first choice for reactive power compensation equipment in UHV DC transmission systems due to their large reactive capacity and strong voltage support capability.

[0003] In actual operation, synchronous condensers inevitably have electrical faults and mechanical faults such as stator and rotor winding short circuits and rotor eccentricity. At present, the research on synchronous condensers mainly focuses on the changes in air gap magnetic field and electromagnetic properties under single faults. The external manifestations caused by condenser faults need to be further explored. The rapid diagnosis method of common faults of synchronous condensers based on typical fault characteristics in external manifestations needs to be summarized. Therefore, how to provide a synchronous condenser fault type diagnosis method, system, equipment and medium is a problem that needs to be solved urgently. Summary of the invention

[0004] The embodiments of the present invention provide a synchronous phase condenser fault type diagnosis method, system, device and medium to solve the above-mentioned technical problems in the prior art.

[0005] In order to have a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended to be a general review, nor is it intended to identify key / important components or to delineate the scope of protection of these embodiments. Its only purpose is to present some concepts in a simple form as a preface to the detailed description that follows.

[0006] According to a first aspect of an embodiment of the present invention, a method for diagnosing a fault type of a synchronous condenser is provided.

[0007] In one embodiment, the synchronous condenser fault type diagnosis method includes:

[0008] Collect signal data used to characterize armature current, excitation current, stator surface radial vibration and rotor radial vibration of synchronous condenser in faulty operation state, and use fusion feature extraction algorithm to extract harmonic feature quantities in signal data;

[0009] According to the extracted harmonic characteristic quantity and the variation law of the fault characteristic quantity, the fault type of the synchronous condenser is analyzed to obtain the first fault type; based on the support vector machine technology and the extracted harmonic characteristic quantity, the fault type of the synchronous condenser is identified to obtain the second fault type;

[0010] Based on the comparison result of the first fault type and the second fault type and in combination with the preset priority, a final fault type of the synchronous condenser is determined.

[0011] In one embodiment, the signal data of the radial vibration of the stator surface and the signal data of the radial vibration of the rotor are both root mean square of multi-point test results.

[0012] In one embodiment, the extracting harmonic feature quantities from the signal data using a fusion feature extraction algorithm includes:

[0013] Preprocessing the collected signal data for characterizing the armature current, the excitation current, the stator radial vibration and the rotor radial vibration; using the empirical mode decomposition method to decompose the preprocessed signal data into a number of intrinsic mode functions, and each intrinsic mode function contains signal features in different frequency ranges;

[0014] Based on the Hilbert transform method, the intrinsic mode function is Hilbert transformed to obtain the instantaneous frequency and instantaneous amplitude of the signal data, and the harmonic characteristic quantity is extracted according to the instantaneous frequency and instantaneous amplitude information of the signal data;

[0015] The expression of Hilbert transform is:

[0016]

[0017] The instantaneous frequency is calculated as:

[0018]

[0019] The calculation formula of instantaneous amplitude is:

[0020]

[0021] In the formula, represents the analytical signal, t represents time, x(t) represents the collected original signal, H[x(t)] represents the Hilbert transform result of the collected original signal x(t), j represents the imaginary unit, f(t) represents the instantaneous frequency, θ(t) represents the instantaneous phase, and A(t) represents the instantaneous amplitude.

[0022] In one embodiment, the fault type of the synchronous condenser is analyzed based on the extracted harmonic characteristic quantity and the variation law of the fault characteristic quantity, and the first fault type is obtained, which includes:

[0023] Based on the extracted harmonic characteristics, the distortion of the armature current and excitation current of the synchronous condenser is analyzed, and the electrical fault and rotor eccentricity fault are identified according to the distortion analysis results;

[0024] According to the existence of even-frequency components in the excitation current and the increase in the amplitude of the fundamental wave of the armature current, the specific fault type when the synchronous condenser has an electrical fault is analyzed;

[0025] Based on the existence of odd-frequency vibration in the radial vibration of the stator surface and the existence of even-frequency vibration in the radial vibration of the rotor, the specific fault type when the synchronous condenser has a rotor eccentricity fault is analyzed;

[0026] The specific fault type when an electrical fault occurs in the synchronous condenser and the specific fault type when a rotor eccentricity fault occurs in the synchronous condenser are integrated to obtain a first fault type.

[0027] In one embodiment, the specific fault type when an electrical fault occurs in the synchronous phase condenser is analyzed based on the presence of the even-harmonic frequency component in the excitation current and the increase in the amplitude of the current fundamental wave in the armature current, including:

[0028] When an electrical fault occurs in a synchronous condenser, if the excitation current does not contain an even-frequency component, it is determined that an inter-turn short circuit occurs in the excitation winding of the synchronous condenser;

[0029] When an electrical fault occurs in a synchronous condenser, if the excitation current contains even-frequency components and the fundamental amplitude of any single-phase current in the armature current increases significantly, it is determined that the armature winding of the synchronous condenser has a turn-to-turn short circuit and the phase with the highest fundamental amplitude of the current is the fault phase;

[0030] When an electrical fault occurs in a synchronous condenser, if the excitation current contains even-frequency components and the fundamental amplitudes of any two phases of the armature current increase significantly, it is determined that an interphase short circuit occurs in the armature winding of the synchronous condenser and the two phases with the highest fundamental amplitude of the current are short-circuited;

[0031] Based on the existence of odd-frequency vibration in the radial vibration of the stator surface and the existence of even-frequency vibration in the radial vibration of the rotor, the specific fault types when the synchronous condenser has a rotor eccentricity fault are analyzed, including:

[0032] When a synchronous condenser has a rotor eccentricity fault, if the radial vibration on the stator surface does not contain odd-frequency vibrations, it is determined that the synchronous condenser rotor only has static eccentricity;

[0033] When a synchronous condenser has a rotor eccentricity fault, if the radial vibration of the stator surface contains odd-frequency vibration and the radial vibration of the rotor does not contain even-frequency vibration, it is determined that the synchronous condenser rotor only has dynamic eccentricity;

[0034] When a synchronous condenser has a rotor eccentricity fault, if the stator surface radial vibration includes odd-frequency vibrations and the rotor radial vibration includes even-frequency vibrations, it is determined that the synchronous condenser rotor has mixed eccentricity.

[0035] In one embodiment, the support vector machine technology is combined with the extracted harmonic feature quantity to identify the fault type of the synchronous condenser, and the second fault type is obtained, including:

[0036] Obtain the historical harmonic characteristic quantities and corresponding fault types used to characterize the armature current, excitation current, stator surface radial vibration, and rotor radial vibration of the synchronous condenser under faulty operation;

[0037] The support vector machine model is trained using historical harmonic feature quantities and corresponding fault types to obtain a trained support vector machine model;

[0038] The real-time harmonic feature quantity is obtained and input into the trained support vector machine model, and the prediction result of the fault type is output to obtain the second fault type.

[0039] In one embodiment, the determining the final fault type of the synchronous condenser based on the comparison result of the first fault type and the second fault type in combination with a preset priority includes:

[0040] Analyze and compare whether the first fault type is the same as the second fault type. If so, select the first fault type or the second fault type as the final fault type of the synchronous phase regulator. If not, determine the final fault type of the synchronous phase regulator according to a pre-set priority, wherein the priority of the first fault type is less than the priority of the second fault type.

[0041] According to a second aspect of an embodiment of the present invention, a synchronous condenser fault type diagnosis system is provided.

[0042] In one embodiment, the synchronous condenser fault type diagnosis system comprises:

[0043] The harmonic feature extraction module is used to collect signal data for characterizing armature current, excitation current, stator surface radial vibration and rotor radial vibration in the faulty operation state of the synchronous condenser, and extract the harmonic feature in the signal data by using the fusion feature extraction algorithm;

[0044] The initial fault type identification module is used to analyze the fault type of the synchronous condenser according to the extracted harmonic characteristic quantity and the change law of the fault characteristic quantity to obtain the first fault type; based on the support vector machine technology and the extracted harmonic characteristic quantity, the fault type of the synchronous condenser is identified to obtain the second fault type;

[0045] The fault type determination module is used to determine the final fault type of the synchronous phase condenser based on the comparison result of the first fault type and the second fault type in combination with a preset priority.

[0046] In one embodiment, the signal data of the radial vibration of the stator surface and the signal data of the radial vibration of the rotor are both root mean square of multi-point test results.

[0047] In one embodiment, when the harmonic feature extraction module extracts the harmonic feature in the signal data using the fusion feature extraction algorithm, the collected signal data for characterizing the armature current, the excitation current, the stator radial vibration and the rotor radial vibration are preprocessed; the preprocessed signal data are decomposed into a number of intrinsic mode functions using the empirical mode decomposition method, and each intrinsic mode function contains signal features in different frequency ranges; based on the Hilbert transform method, the intrinsic mode function is Hilbert transformed to obtain the instantaneous frequency and instantaneous amplitude of the signal data, and the harmonic feature is extracted according to the instantaneous frequency and instantaneous amplitude information of the signal data;

[0048] The expression of Hilbert transform is:

[0049]

[0050] The instantaneous frequency is calculated as:

[0051]

[0052] The calculation formula of instantaneous amplitude is:

[0053]

[0054] In the formula, represents the analytical signal, t represents time, x(t) represents the collected original signal, H[x(t)] represents the Hilbert transform result of the collected original signal x(t), j represents the imaginary unit, f(t) represents the instantaneous frequency, θ(t) represents the instantaneous phase, and A(t) represents the instantaneous amplitude.

[0055] In one embodiment, the initial fault type identification module analyzes the fault type of the synchronous condenser according to the extracted harmonic characteristic quantity and the variation law of the fault characteristic quantity to obtain the first fault type. Then, based on the extracted harmonic characteristic quantity, the module analyzes the distortion of the armature current and the excitation current of the synchronous condenser, and recognizes the electrical fault and the rotor eccentricity fault according to the distortion analysis result; analyzes the specific fault type when the synchronous condenser has an electrical fault according to the presence of even-harmonic frequency components in the excitation current and the increase of the fundamental amplitude of the armature current; analyzes the specific fault type when the synchronous condenser has a rotor eccentricity fault based on the presence of odd-harmonic frequency vibration in the radial vibration of the stator surface and the presence of even-harmonic frequency vibration in the radial vibration of the rotor; and integrates the specific fault type when the synchronous condenser has an electrical fault and the specific fault type when the synchronous condenser has a rotor eccentricity fault to obtain the first fault type.

[0056] In one embodiment, the initial fault type identification module analyzes the specific fault type when the synchronous condenser has an electrical fault according to the presence of even-harmonic frequency components in the excitation current and the increase of the current fundamental wave amplitude in the armature current. When the synchronous condenser has an electrical fault, if the excitation current does not contain even-harmonic frequency components, it is determined that the excitation winding of the synchronous condenser has a turn-to-turn short circuit; when the synchronous condenser has an electrical fault, if the excitation current contains even-harmonic frequency components and the fundamental wave amplitude of any single-phase current in the armature current increases significantly, it is determined that the armature winding of the synchronous condenser has a turn-to-turn short circuit and the phase with the highest current fundamental wave amplitude is the fault phase; when the synchronous condenser has an electrical fault, if the excitation current contains even-harmonic frequency components and the fundamental wave amplitudes of any two phases in the armature current increase significantly, it is determined that the armature winding of the synchronous condenser has a phase-to-phase short circuit and the two phases with the highest current fundamental wave amplitude are short-circuited;

[0057] The initial fault type identification module analyzes the specific fault type when the synchronous condenser has a rotor eccentricity fault based on the existence of odd-frequency vibrations in the radial vibration of the stator surface and the existence of even-frequency vibrations in the radial vibration of the rotor. When the synchronous condenser has a rotor eccentricity fault, if the radial vibration of the stator surface does not include odd-frequency vibrations, it is determined that the synchronous condenser rotor has only static eccentricity; when the synchronous condenser has a rotor eccentricity fault, if the radial vibration of the stator surface includes odd-frequency vibrations and the radial vibration of the rotor does not include even-frequency vibrations, it is determined that the synchronous condenser rotor has only dynamic eccentricity; when the synchronous condenser has a rotor eccentricity fault, if the radial vibration of the stator surface includes odd-frequency vibrations and the radial vibration of the rotor includes even-frequency vibrations, it is determined that the synchronous condenser rotor has mixed eccentricity.

[0058] In one embodiment, the initial fault type identification module identifies the fault type of the synchronous phase condenser based on the support vector machine technology in combination with the extracted harmonic feature quantity. When the second fault type is obtained, the historical harmonic feature quantities and corresponding fault types used to characterize the armature current, excitation current, stator surface radial vibration, and rotor radial vibration of the synchronous phase condenser under the faulty operating state are obtained; the support vector machine model is trained using the historical harmonic feature quantities and the corresponding fault types to obtain a trained support vector machine model; the real-time harmonic feature quantities are obtained and input into the trained support vector machine model, and the prediction result of the fault type is output to obtain the second fault type.

[0059] In one embodiment, when the fault type determination module determines the final fault type of the synchronous condenser based on the comparison result of the first fault type and the second fault type in combination with a preset priority, it analyzes and compares whether the first fault type and the second fault type are the same. If so, the first fault type or the second fault type is selected as the final fault type of the synchronous condenser. If not, the final fault type of the synchronous condenser is determined according to the preset priority, wherein the priority of the first fault type is lower than the priority of the second fault type.

[0060] According to a third aspect of an embodiment of the present invention, a computer device is provided.

[0061] In some embodiments, the computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0062] According to a fourth aspect of embodiments of the present invention, a computer-readable storage medium is provided.

[0063] In one embodiment, the computer-readable storage medium stores a computer program, and the computer program implements the steps of the above method when executed by a processor.

[0064] The technical solution provided by the embodiment of the present invention may have the following beneficial effects:

[0065] 1) The present invention does not need to establish a physical model of the synchronous condenser to simulate its fault state, nor does it need to build a complex test platform. The fault type can be quickly diagnosed by testing the armature current, excitation current and radial vibration of the stator and rotor under the faulty operation state of the synchronous condenser. The implementation is simple and low-cost.

[0066] 2) The present invention tests the armature current, excitation current and radial vibration of the stator and rotor of the synchronous phase regulator under the actual fault operation state, and extracts the fault characteristic quantity in the test result, so that the restoration degree of the fault state is high and the diagnosis result is accurate.

[0067] 3) The present invention is not limited by the complex structure, operating state and installation method of the synchronous condenser. The test equipment does not need to occupy too much additional installation space. The stator and rotor radial vibration test points can be flexibly selected to meet the fault diagnosis needs of the synchronous condenser in different working environments. It has strong applicability and broad application prospects.

[0068] 4) The present invention can comprehensively determine the final fault type of the synchronous phase regulator based on the fault type of the fault characteristic quantity change law and the identification result of the fault type based on the support vector machine technology, so as to quickly and accurately identify different types of faults and improve the accuracy of fault diagnosis.

[0069] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0071] Figure 1 is a flow chart of a synchronous condenser fault type diagnosis method according to an exemplary embodiment;

[0072] Figure 2 is a structural block diagram of a synchronous condenser fault type diagnosis system according to an exemplary embodiment;

[0073] Figure 3 is a schematic diagram showing armature current harmonic content of a synchronous condenser under common electrical faults and rotor eccentricity faults according to an exemplary embodiment;

[0074] Figure 4 is a schematic diagram showing harmonic content of excitation current of a synchronous condenser under common electrical faults and rotor eccentricity faults according to an exemplary embodiment;

[0075] Figure 5 is a schematic diagram of harmonic content of electromagnetic force acting on the stator of a synchronous condenser under common electrical faults and rotor eccentricity faults according to an exemplary embodiment;

[0076] Figure 6 is a schematic diagram showing harmonic content of unbalanced magnetic pull acting on a rotor of a synchronous condenser under common electrical faults and rotor eccentricity faults according to an exemplary embodiment;

[0077] Figure 7 is a schematic diagram showing a quick diagnosis of a first fault type based on fault characteristic quantities in armature current, excitation current and radial vibration of stator and rotor according to an exemplary embodiment;

[0078] Figure 8 It is a schematic diagram showing the structure of a computer device according to an exemplary embodiment. DETAILED DESCRIPTION

[0079] The following description and accompanying drawings fully illustrate the specific embodiments of this article so that those skilled in the art can practice them. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. The scope of the embodiments of this article includes the entire scope of the claims, as well as all available equivalents of the claims. Herein, the terms "first", "second", etc. are only used to distinguish one element from another, without requiring or implying any actual relationship or order between these elements. In fact, the first element can also be called the second element, and vice versa. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the structure, device or equipment including a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also include elements inherent to such structure, device or equipment. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the structure, device or equipment including the elements. Each embodiment is described in a progressive manner herein, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the embodiments can be referred to each other.

[0080] The terms "longitudinal", "lateral", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. in this document indicate the orientation or position relationship based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing this document and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In the description of this document, unless otherwise specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a mechanical connection or an electrical connection, it can also be the internal communication of two elements, it can be a direct connection, or it can be an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0081] As used herein, the term "plurality" means two or more than two, unless otherwise specified.

[0082] In this document, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B.

[0083] In this article, the term "and / or" is a description of the association relationship between objects, indicating that three relationships may exist. For example, A and / or B means: A or B, or, A and B.

[0084] It should be understood that, although the various steps in the flow chart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the figure may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0085] Each module in the device or system of the present application can be implemented in whole or in part by software, hardware, or a combination thereof. The above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to the above modules.

[0086] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0087] Figure 1 An embodiment of a synchronous condenser fault type diagnosis method of the present invention is shown.

[0088] In this optional embodiment, the synchronous condenser fault type diagnosis method includes:

[0089] Step S101, collecting signal data for characterizing armature current, excitation current, stator surface radial vibration and rotor radial vibration of the synchronous condenser in a faulty operating state, and extracting harmonic feature quantities in the signal data using a fusion feature extraction algorithm;

[0090] Step S103: Analyze the fault type of the synchronous condenser according to the extracted harmonic characteristic quantity and the variation law of the fault characteristic quantity to obtain the first fault type; identify the fault type of the synchronous condenser based on the support vector machine technology and the extracted harmonic characteristic quantity to obtain the second fault type;

[0091] Step S105: Determine the final fault type of the synchronous condenser based on the comparison result of the first fault type and the second fault type in combination with a preset priority.

[0092] Figure 2 An embodiment of a synchronous condenser fault type diagnosis system of the present invention is shown.

[0093] In this optional embodiment, the synchronous condenser fault type diagnosis system includes:

[0094] The harmonic feature extraction module 201 is used to collect signal data for characterizing armature current, excitation current, stator surface radial vibration and rotor radial vibration in the faulty operation state of the synchronous condenser, and extract harmonic feature quantities in the signal data using a fusion feature extraction algorithm;

[0095] The initial fault type identification module 203 is used to analyze the fault type of the synchronous condenser according to the extracted harmonic characteristic quantity and the change law of the fault characteristic quantity to obtain the first fault type; based on the support vector machine technology and the extracted harmonic characteristic quantity, identify the fault type of the synchronous condenser to obtain the second fault type;

[0096] The fault type determination module 205 is used to determine the final fault type of the synchronous condenser based on the comparison result of the first fault type and the second fault type in combination with a preset priority.

[0097] In order to facilitate understanding of the above technical solutions of the present invention, the above technical solutions of the present invention are further described below from the perspective of architecture and principle, as follows:

[0098] A synchronous condenser fault type diagnosis method, comprising:

[0099] 1. The armature current, excitation current, stator surface radial vibration and rotor radial vibration of the synchronous condenser under fault operation are tested, and the harmonic feature quantities in the signal data are extracted using the fusion feature extraction algorithm.

[0100] Specifically, the signal data of the radial vibration of the stator surface and the signal data of the radial vibration of the rotor are both root mean squares of multi-point test results.

[0101] Specifically, the use of the fusion feature extraction algorithm to extract harmonic features in signal data includes:

[0102] 1) Preprocessing the collected signal data for characterizing the armature current, excitation current, stator radial vibration and rotor radial vibration; using the empirical mode decomposition method to decompose the preprocessed signal data into several intrinsic mode functions, and each intrinsic mode function contains signal features in different frequency ranges.

[0103] Empirical Mode Decomposition (EMD): EMD is an adaptive time-frequency analysis method used to decompose nonlinear and non-stationary signals into several intrinsic mode functions (IMFs), each of which represents the local characteristics of the signal at different frequencies. The specific steps are as follows:

[0104] Extreme point detection: Identify all local maximum and minimum points in the acquired signal.

[0105] Construct envelope: Construct the upper envelope and lower envelope curves of the signal through the maximum and minimum points respectively, and use cubic spline interpolation to connect these points.

[0106] Calculate the average value: Calculate the average value of the upper and lower envelope curves, recorded as m(t).

[0107] Extract IMF: Subtract the mean value m(t) from the original signal x(t) to obtain a new signal h(t) = x(t) - m(t). If h(t) meets the definition of IMF (the difference between the number of zero crossings and the number of extreme values ​​of the signal is zero or not greater than 1, and the local mean of the signal is zero), then h(t) is considered to be an IMF. Otherwise, continue to repeat the above steps for h(t) until a modal function that meets the definition of IMF is extracted.

[0108] Residual signal decomposition: Remove the extracted IMF from the original signal to obtain the residual signal, and then repeat the above steps to decompose the residual signal until the residual signal is approximately zero or becomes a monotonic function.

[0109] Finally, EMD decomposes the signal into multiple IMFs and a residual component, and each IMF represents the characteristics of the signal in different frequency bands.

[0110] 2) Based on the Hilbert transform method, the intrinsic mode function is Hilbert transformed to obtain the instantaneous frequency and instantaneous amplitude of the signal data, and the harmonic feature quantity is extracted according to the instantaneous frequency and instantaneous amplitude information of the signal data.

[0111] The expression of Hilbert transform is:

[0112]

[0113] The instantaneous frequency is calculated as:

[0114]

[0115] The calculation formula of instantaneous amplitude is:

[0116]

[0117] In the formula, represents the analytical signal, t represents time, x(t) represents the collected original signal, H[x(t)] represents the Hilbert transform result of the collected original signal x(t), j represents the imaginary unit, f(t) represents the instantaneous frequency, θ(t) represents the instantaneous phase, and A(t) represents the instantaneous amplitude.

[0118] 2. According to the extracted harmonic characteristic quantity and the changing law of the fault characteristic quantity, the fault type of the synchronous phase condenser is analyzed to obtain the first fault type; based on the support vector machine technology and the extracted harmonic characteristic quantity, the fault type of the synchronous phase condenser is identified to obtain the second fault type.

[0119] In this embodiment, the armature current of the synchronous condenser under common electrical faults and rotor eccentricity faults is as follows: Figure 3 When the synchronous condenser is in normal operation, the armature current only contains odd-frequency components, and the fundamental frequency components are dominant; when the armature winding of the synchronous condenser is short-circuited, the amplitude of the fundamental frequency current of the fault phase increases sharply, and the amplitude of the odd-frequency low-order harmonic current also increases significantly; when the excitation winding of the synchronous condenser is short-circuited, the amplitude of the fundamental wave of the armature current decreases, and the harmonic current has no obvious change; when the synchronous condenser has a rotor eccentricity fault, the armature current has no obvious change.

[0120] The excitation current of synchronous condenser under common electrical faults and rotor eccentricity faults is as follows Figure 4 When the synchronous condenser is operating normally, the excitation current only contains the DC component; when the armature winding of the synchronous condenser is short-circuited, the excitation current contains not only the DC component but also the even-frequency low-order harmonic components, and the double-frequency components are dominant; when the excitation winding of the synchronous condenser is short-circuited, the excitation current increases sharply and no harmonic current is generated; when the synchronous condenser has a rotor eccentricity fault, the excitation current has no obvious change.

[0121] The harmonic content of electromagnetic force acting on stator teeth of synchronous condenser under common electrical faults and rotor eccentricity faults is as follows: Figure 5 As shown. When the synchronous condenser is in normal operation, the electromagnetic force only contains constant components and even-frequency components, and the radial vibration of the stator surface only contains even-frequency vibrations; when the armature winding of the synchronous condenser is short-circuited, the harmonic content of the electromagnetic force remains unchanged, but the amplitudes of the constant components and even-frequency low-order harmonic components increase significantly, and the amplitude of the double-frequency component increases greatly, and the amplitude of the double-frequency vibration in the radial vibration of the stator surface also increases; when the excitation winding of the synchronous condenser is short-circuited, odd-frequency components appear in the electromagnetic force, and odd-frequency vibration appears in the radial vibration of the stator surface; when the synchronous condenser has a rotor static eccentricity fault, the harmonic content of the electromagnetic force remains unchanged, but the amplitudes of each component increase slightly, and the radial vibration of the stator surface is still dominated by even-frequency vibration; when the synchronous condenser has a rotor dynamic eccentricity and mixed eccentricity fault, odd-frequency components appear in the electromagnetic force, and odd-frequency vibration also appears in the radial vibration of the stator surface.

[0122] The harmonic content of the unbalanced magnetic pull acting on the rotor of a synchronous condenser under common electrical faults and rotor eccentricity faults is as follows: Figure 6As shown. When the synchronous condenser is operating normally, there is no unbalanced magnetic pull on the rotor, and the rotor has no obvious radial vibration; when the armature winding of the synchronous condenser is short-circuited, the rotor is subjected to obvious unbalanced magnetic pull, and the unbalanced magnetic pull contains constant components and even-frequency components, and the rotor has obvious radial vibration, and the even-frequency vibration is dominant; when the excitation winding of the synchronous condenser is short-circuited, the unbalanced magnetic pull acting on the rotor has only the fundamental frequency component, and the rotor radial vibration is mainly fundamental frequency vibration; when the synchronous condenser has a rotor dynamic eccentricity fault, the unbalanced magnetic pull acting on the rotor contains only odd-frequency components, and the rotor has odd-frequency vibration; when the synchronous condenser has a rotor static eccentricity and mixed eccentricity fault, the electromagnetic force contains both constant components and odd-frequency and even-frequency components, the rotor radial vibration is severe, and odd-frequency vibration and even-frequency vibration exist at the same time.

[0123] According to the harmonic content and amplitude variation characteristics of armature current, excitation current, stator surface radial vibration and rotor radial vibration of synchronous condenser under different fault types, the variation law of fault characteristic quantity is summarized, which can lay a theoretical foundation for the rapid diagnosis of common faults of synchronous condenser.

[0124] As an optional implementation, for different synchronous phase regulators, the amplitudes of the armature current, excitation current, electromagnetic force acting on the stator teeth and unbalanced magnetic pull acting on the rotor are different, but the change patterns of the harmonic content and the amplitudes of the components in the four test quantities under fault conditions are consistent.

[0125] Specifically, Figure 7 As shown, according to the extracted harmonic characteristic quantity and the variation law of the fault characteristic quantity, the fault type of the synchronous condenser is analyzed, and the first fault type includes:

[0126] 1) Based on the extracted harmonic characteristics, the distortion of the armature current and excitation current of the synchronous condenser is analyzed, and the electrical fault and rotor eccentricity fault are identified according to the distortion analysis results. That is, compared with the normal operating condition, if the armature current and excitation current of the synchronous condenser are obviously distorted, the synchronous condenser has an electrical fault, otherwise the synchronous condenser has a rotor eccentricity fault.

[0127] 2) According to the existence of even-harmonic frequency components in the excitation current and the increase in the fundamental amplitude of the armature current, the specific fault type when the synchronous condenser has an electrical fault is analyzed; that is, when the synchronous condenser has an electrical fault, if the excitation current contains even-harmonic frequency components and the fundamental amplitude of a phase in the armature current increases significantly, then the armature winding of the synchronous condenser has a turn-to-turn short circuit and the phase with the highest fundamental amplitude of the current is the faulty phase; if the excitation current contains even-harmonic frequency components and the fundamental amplitudes of two phases in the armature current increase significantly, then the armature winding of the synchronous condenser has a phase-to-phase short circuit and the two phases with the highest fundamental amplitude of the current are short-circuited; if the excitation current contains only DC components, then the excitation winding of the synchronous condenser has a turn-to-turn short circuit.

[0128] 3) Based on the existence of odd-frequency vibrations in the radial vibration of the stator surface and combined with the existence of even-frequency vibrations in the radial vibration of the rotor, the specific fault type when the synchronous condenser has a rotor eccentricity fault is analyzed; when a synchronous condenser has a rotor eccentricity fault, if the radial vibration of the stator surface contains odd-frequency vibrations and the rotor vibration does not contain even-frequency vibrations, then the synchronous condenser rotor only has dynamic eccentricity; if the radial vibration of the stator surface contains odd-frequency vibrations and the rotor vibration contains even-frequency vibrations, then the synchronous condenser rotor has mixed eccentricity; if the radial vibration of the stator surface does not contain odd-frequency vibrations, then the synchronous condenser rotor only has static eccentricity.

[0129] 4) Integrate the specific fault type when the synchronous condenser has an electrical fault and the specific fault type when the synchronous condenser has a rotor eccentricity fault to obtain a first fault type.

[0130] Specifically, based on the support vector machine technology and combined with the extracted harmonic feature quantity, the fault type of the synchronous condenser is identified, and the second fault type includes:

[0131] 1) Obtain the historical harmonic characteristic quantities and corresponding fault types used to characterize the armature current, excitation current, stator surface radial vibration, and rotor radial vibration of the synchronous condenser under faulty operation.

[0132] 2) The support vector machine model is trained using the historical harmonic feature quantities and the corresponding fault types to obtain the trained support vector machine model, which specifically includes:

[0133] a. Construct feature vector:

[0134] Feature vector construction: Convert the extracted harmonic features into feature vectors that can be processed by machine learning algorithms. For example, for each sample, the feature vector may contain:

[0135] The amplitude of the fundamental frequency;

[0136] The amplitude of each order of harmonics (such as 2nd, 3rd, and 5th harmonics);

[0137] Statistics of instantaneous frequency and instantaneous amplitude (such as mean, variance, peak value, etc.);

[0138] Label assignment: According to the known fault types, each sample is assigned a corresponding label (such as normal, first fault type, second fault type, etc.).

[0139] b. Training of Support Vector Machine (SVM) model

[0140] Select kernel function: Select a suitable kernel function based on the complexity of the problem and the distribution of harmonic feature quantities. Commonly used kernel functions include:

[0141] Linear kernel function: applicable to linearly separable feature space.

[0142] Gaussian kernel function (RBF): Applicable to nonlinearly separable feature space and can capture complex feature relationships.

[0143] Training model: The constructed feature vector and the corresponding fault type label are input into the SVM model for training, so that the model can learn the relationship between different harmonic features and fault types.

[0144] 3) Obtain real-time harmonic feature quantities and input them into the trained support vector machine model, output the prediction result of the fault type, and obtain the second fault type.

[0145] Specifically, the newly collected data used to characterize the armature current, excitation current, vibration signal, etc. are feature extracted to obtain new harmonic feature quantities, and the corresponding feature vectors are constructed. The feature vectors can then be input into the trained SVM model to obtain the prediction output of the fault type. The SVM model will give the classification result that the sample belongs to a certain fault type.

[0146] In addition, if there is a difference between the model recognition result and the comparison result of the actual fault type, the recognition accuracy of the model can be further improved by adjusting the parameters of the SVM model, increasing the data samples, optimizing the feature extraction algorithm, etc.

[0147] 3. Based on the comparison result of the first fault type and the second fault type and in combination with the preset priority, determine the final fault type of the synchronous condenser.

[0148] Specifically, based on the comparison result of the first fault type and the second fault type, combined with the preset priority, determining the final fault type of the synchronous condenser includes:

[0149] Analyze and compare whether the first fault type is the same as the second fault type. If so, select the first fault type or the second fault type as the final fault type of the synchronous phase regulator. If not, determine the final fault type of the synchronous phase regulator according to a pre-set priority, wherein the priority of the first fault type is less than the priority of the second fault type.

[0150] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 8 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store static information and dynamic information data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps in the above method embodiment are implemented.

[0151] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0152] In addition, the present invention also provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiment when executing the computer program.

[0153] In addition, the present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiment are implemented.

[0154] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0155] The present invention is not limited to the structures which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for diagnosing fault types of synchronous phase condensers, characterized in that: include: Collect signal data used to characterize armature current, excitation current, stator surface radial vibration and rotor radial vibration of synchronous condenser in faulty operation state, and use fusion feature extraction algorithm to extract harmonic feature quantities in signal data; According to the extracted harmonic characteristic quantity and the variation law of the fault characteristic quantity, the fault type of the synchronous condenser is analyzed to obtain the first fault type; based on the support vector machine technology and the extracted harmonic characteristic quantity, the fault type of the synchronous condenser is identified to obtain the second fault type; Based on the comparison result of the first fault type and the second fault type and in combination with the preset priority, a final fault type of the synchronous condenser is determined.

2. The synchronous condenser fault type diagnosis method according to claim 1, characterized in that: The signal data of the radial vibration of the stator surface and the signal data of the radial vibration of the rotor are both root mean squares of multi-point test results.

3. The synchronous condenser fault type diagnosis method according to claim 1, characterized in that: The method of extracting harmonic feature quantities from signal data by using a fusion feature extraction algorithm comprises: Preprocessing the collected signal data for characterizing the armature current, the excitation current, the stator radial vibration and the rotor radial vibration; using the empirical mode decomposition method to decompose the preprocessed signal data into a number of intrinsic mode functions, and each intrinsic mode function contains signal features in different frequency ranges; Based on the Hilbert transform method, the intrinsic mode function is Hilbert transformed to obtain the instantaneous frequency and instantaneous amplitude of the signal data, and the harmonic characteristic quantity is extracted according to the instantaneous frequency and instantaneous amplitude information of the signal data; The expression of Hilbert transform is: The instantaneous frequency is calculated as: The calculation formula of instantaneous amplitude is: In the formula, represents the analytical signal, t represents time, x(t) represents the collected original signal, H[x(t)] represents the Hilbert transform result of the collected original signal x(t), j represents the imaginary unit, f(t) represents the instantaneous frequency, θ(t) represents the instantaneous phase, and A(t) represents the instantaneous amplitude.

4. The synchronous condenser fault type diagnosis method according to claim 1, characterized in that: The first fault type is obtained by analyzing the fault type of the synchronous condenser according to the extracted harmonic characteristic quantity and the variation law of the fault characteristic quantity: Based on the extracted harmonic characteristics, the distortion of the armature current and excitation current of the synchronous condenser is analyzed, and the electrical fault and rotor eccentricity fault are identified according to the distortion analysis results; According to the existence of even-frequency components in the excitation current and the increase in the amplitude of the fundamental wave of the armature current, the specific fault type when the synchronous condenser has an electrical fault is analyzed; Based on the existence of odd-frequency vibration in the radial vibration of the stator surface and the existence of even-frequency vibration in the radial vibration of the rotor, the specific fault type when the synchronous condenser has a rotor eccentricity fault is analyzed; The specific fault type when an electrical fault occurs in the synchronous condenser and the specific fault type when a rotor eccentricity fault occurs in the synchronous condenser are integrated to obtain a first fault type.

5. The synchronous condenser fault type diagnosis method according to claim 4, characterized in that: According to the existence of even-harmonic frequency components in the excitation current and the increase in the amplitude of the fundamental wave of the armature current, the specific fault types when the synchronous phase regulator has an electrical fault are analyzed, including: When an electrical fault occurs in a synchronous condenser, if the excitation current does not contain an even-frequency component, it is determined that an inter-turn short circuit occurs in the excitation winding of the synchronous condenser; When an electrical fault occurs in a synchronous condenser, if the excitation current contains even-frequency components and the fundamental amplitude of any single-phase current in the armature current increases significantly, it is determined that the armature winding of the synchronous condenser has a turn-to-turn short circuit and the phase with the highest fundamental amplitude of the current is the fault phase; When an electrical fault occurs in a synchronous condenser, if the excitation current contains even-frequency components and the fundamental amplitudes of any two phases of the armature current increase significantly, it is determined that an interphase short circuit occurs in the armature winding of the synchronous condenser and the two phases with the highest fundamental amplitude of the current are short-circuited; Based on the existence of odd-frequency vibration in the radial vibration of the stator surface and the existence of even-frequency vibration in the radial vibration of the rotor, the specific fault types when the synchronous condenser has a rotor eccentricity fault are analyzed, including: When a synchronous condenser has a rotor eccentricity fault, if the radial vibration on the stator surface does not contain odd-frequency vibrations, it is determined that the synchronous condenser rotor only has static eccentricity; When a synchronous condenser has a rotor eccentricity fault, if the radial vibration of the stator surface contains odd-frequency vibration and the radial vibration of the rotor does not contain even-frequency vibration, it is determined that the synchronous condenser rotor only has dynamic eccentricity; When a synchronous condenser has a rotor eccentricity fault, if the stator surface radial vibration includes odd-frequency vibrations and the rotor radial vibration includes even-frequency vibrations, it is determined that the synchronous condenser rotor has mixed eccentricity.

6. The synchronous condenser fault type diagnosis method according to claim 1, characterized in that: The support vector machine technology is combined with the extracted harmonic feature quantity to identify the fault type of the synchronous phase condenser, and the second fault type includes: Obtain the historical harmonic characteristic quantities and corresponding fault types used to characterize the armature current, excitation current, stator surface radial vibration, and rotor radial vibration of the synchronous condenser under faulty operation; The support vector machine model is trained using historical harmonic feature quantities and corresponding fault types to obtain a trained support vector machine model; The real-time harmonic feature quantity is obtained and input into the trained support vector machine model, and the prediction result of the fault type is output to obtain the second fault type.

7. The synchronous condenser fault type diagnosis method according to claim 1, characterized in that: The determining of the final fault type of the synchronous condenser based on the comparison result of the first fault type and the second fault type in combination with the preset priority includes: Analyze and compare whether the first fault type is the same as the second fault type. If so, select the first fault type or the second fault type as the final fault type of the synchronous phase regulator. If not, determine the final fault type of the synchronous phase regulator according to a pre-set priority, wherein the priority of the first fault type is less than the priority of the second fault type.

8. A synchronous condenser fault type diagnosis system, characterized in that: include: The harmonic feature extraction module is used to collect signal data for characterizing armature current, excitation current, stator surface radial vibration and rotor radial vibration in the faulty operation state of the synchronous condenser, and extract the harmonic feature in the signal data by using the fusion feature extraction algorithm; The initial fault type identification module is used to analyze the fault type of the synchronous condenser according to the extracted harmonic characteristic quantity and the change law of the fault characteristic quantity to obtain the first fault type; based on the support vector machine technology and the extracted harmonic characteristic quantity, the fault type of the synchronous condenser is identified to obtain the second fault type; The fault type determination module is used to determine the final fault type of the synchronous phase condenser based on the comparison result of the first fault type and the second fault type in combination with a preset priority.

9. The synchronous phase condenser fault type diagnosis system according to claim 8, characterized in that: The signal data of the radial vibration of the stator surface and the signal data of the radial vibration of the rotor are both root mean squares of multi-point test results.

10. The synchronous condenser fault type diagnosis system according to claim 8, characterized in that: The harmonic feature extraction module preprocesses the collected signal data for characterizing the armature current, the excitation current, the stator radial vibration and the rotor radial vibration when extracting the harmonic feature in the signal data by using the fusion feature extraction algorithm; decomposes the preprocessed signal data into a plurality of intrinsic mode functions by using the empirical mode decomposition method, and each intrinsic mode function contains signal features in different frequency ranges; Based on the Hilbert transform method, the intrinsic mode function is Hilbert transformed to obtain the instantaneous frequency and instantaneous amplitude of the signal data, and the harmonic characteristic quantity is extracted according to the instantaneous frequency and instantaneous amplitude information of the signal data; The expression of Hilbert transform is: The instantaneous frequency is calculated as: The calculation formula of instantaneous amplitude is: In the formula, represents the analytical signal, t represents time, x(t) represents the collected original signal, H[x(t)] represents the Hilbert transform result of the collected original signal x(t), j represents the imaginary unit, f(t) represents the instantaneous frequency, θ(t) represents the instantaneous phase, and A(t) represents the instantaneous amplitude.

11. The synchronous phase condenser fault type diagnosis system according to claim 8, characterized in that: The initial fault type identification module analyzes the fault type of the synchronous condenser according to the extracted harmonic characteristic quantity and the variation law of the fault characteristic quantity to obtain the first fault type. Then, based on the extracted harmonic characteristic quantity, the module analyzes the distortion of the armature current and the excitation current of the synchronous condenser, and recognizes the electrical fault and the rotor eccentricity fault according to the distortion analysis result; analyzes the specific fault type when the synchronous condenser has an electrical fault according to the presence of even-harmonic frequency components in the excitation current and the increase of the fundamental amplitude of the armature current; analyzes the specific fault type when the synchronous condenser has a rotor eccentricity fault based on the presence of odd-harmonic frequency vibration in the radial vibration of the stator surface and the presence of even-harmonic frequency vibration in the radial vibration of the rotor; and integrates the specific fault type when the synchronous condenser has an electrical fault and the specific fault type when the synchronous condenser has a rotor eccentricity fault to obtain the first fault type.

12. The synchronous condenser fault type diagnosis system according to claim 11, characterized in that: The initial fault type identification module analyzes the specific fault type when the synchronous condenser has an electrical fault according to the presence of the even-harmonic frequency component in the excitation current and the increase of the current fundamental wave amplitude in the armature current. When the synchronous condenser has an electrical fault, if the excitation current does not contain the even-harmonic frequency component, it is determined that the excitation winding of the synchronous condenser has a turn-to-turn short circuit; when the synchronous condenser has an electrical fault, if the excitation current contains the even-harmonic frequency component and the fundamental wave amplitude of any single-phase current in the armature current increases significantly, it is determined that the armature winding of the synchronous condenser has a turn-to-turn short circuit and the phase with the highest current fundamental wave amplitude is the fault phase. When an electrical fault occurs in a synchronous condenser, if the excitation current contains even-frequency components and the fundamental amplitudes of any two phases of the armature current increase significantly, it is determined that an interphase short circuit occurs in the armature winding of the synchronous condenser and the two phases with the highest fundamental amplitude of the current are short-circuited; The initial fault type identification module analyzes the specific fault type when the synchronous condenser has a rotor eccentricity fault based on the existence of odd-frequency vibrations in the radial vibration of the stator surface and the existence of even-frequency vibrations in the radial vibration of the rotor. When the synchronous condenser has a rotor eccentricity fault, if the radial vibration of the stator surface does not include odd-frequency vibrations, it is determined that the synchronous condenser rotor has only static eccentricity; when the synchronous condenser has a rotor eccentricity fault, if the radial vibration of the stator surface includes odd-frequency vibrations and the radial vibration of the rotor does not include even-frequency vibrations, it is determined that the synchronous condenser rotor has only dynamic eccentricity; when the synchronous condenser has a rotor eccentricity fault, if the radial vibration of the stator surface includes odd-frequency vibrations and the radial vibration of the rotor includes even-frequency vibrations, it is determined that the synchronous condenser rotor has mixed eccentricity.

13. The synchronous condenser fault type diagnosis system according to claim 8, characterized in that: The initial fault type identification module identifies the fault type of the synchronous phase condenser based on the support vector machine technology in combination with the extracted harmonic feature quantity. When the second fault type is obtained, the historical harmonic feature quantities and corresponding fault types used to characterize the armature current, excitation current, stator surface radial vibration, and rotor radial vibration of the synchronous phase condenser under the faulty operating state are obtained; the support vector machine model is trained using the historical harmonic feature quantities and the corresponding fault types to obtain a trained support vector machine model; the real-time harmonic feature quantities are obtained and input into the trained support vector machine model, and the prediction result of the fault type is output to obtain the second fault type.

14. The synchronous condenser fault type diagnosis system according to claim 8, characterized in that: When the fault type determination module determines the final fault type of the synchronous condenser based on the comparison result of the first fault type and the second fault type in combination with a preset priority, it analyzes and compares whether the first fault type and the second fault type are the same. If so, the first fault type or the second fault type is selected as the final fault type of the synchronous condenser. If not, the final fault type of the synchronous condenser is determined according to the preset priority, wherein the priority of the first fault type is lower than the priority of the second fault type.

15. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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