Short circuit determination method and device of rotor winding, equipment and storage medium

Abstract

The embodiment of the invention provides a short-circuit determination method and device of a rotor winding, equipment and a storage medium, relates to the technical field of electric power, and can improve the accuracy of short-circuit diagnosis. The short circuit determination method of the rotor winding comprises the following steps: acquiring parameter information of the rotor winding, wherein the parameter information comprises periodic fluctuation times of the rotor winding, a gain frequency spectrum and a capacity grade of a generator to which the rotor winding belongs; determining a characteristic peak value in the gain spectrum based on the periodic fluctuation times, the spectrum type of the gain spectrum and a preset matching rule; and determining the short-circuit degree of the rotor winding based on the capacity grade, the characteristic peak value and preset judgment information.

Description

Technical Field

[0001] The present application relates to the technical field of electric power, and particularly relates to a method, device, equipment and storage medium for determining the short circuit of a rotor winding. Background Art

[0002] Large synchronous generators are key equipment in the power system and are mainly used to convert mechanical energy into electrical energy. Such generators are usually installed in power generation stations, such as thermal power stations, hydropower stations, nuclear power stations, etc. They are connected to prime movers and use the mechanical rotation provided by the prime movers to drive the rotation of the generator rotor, thereby cutting the magnetic field to generate electromotive force, and finally outputting electrical energy to the power grid.

[0003] Since large synchronous generators play a core role in the power system, their safe and stable operation is crucial for ensuring the reliability and stability of power supply. However, in practical applications, due to the structural types of their rotor insulating paper and insulating sheets, the high standards of manufacturing processes, and complex operating conditions, the defect rate of turn-to-turn short circuits in the rotor windings of such generators is relatively high. Turn-to-turn short circuits in the rotor winding will not only cause abnormal phenomena such as increased vibration of the unit and reduced reactive power output, but may also lead to problems such as rotor grounding and shaft magnetization, and even cause accidents where the generator unit is forced to shut down.

[0004] Based on this, there is an urgent technical need for timely and effective diagnosis of turn-to-turn short circuits. However, the existing main diagnostic methods have problems such as harsh implementation conditions and lack of unified diagnostic standards, and can only achieve the accuracy of qualitative diagnosis and cannot achieve quantitative diagnosis. Summary of the Invention

[0005] To solve the above problems, the present application provides a method, device, equipment and storage medium for determining the short circuit of a rotor winding.

[0006] In a first aspect, a method for determining the short circuit of a rotor winding is provided, including:

[0007] Obtaining parameter information of the rotor winding, where the parameter information includes: the number of periodic fluctuations of the rotor winding, the gain spectrum, and the capacity level of the generator to which the rotor winding belongs;

[0008] Determining the characteristic peak value in the gain spectrum based on the number of periodic fluctuations, the spectrum type of the gain spectrum, and a preset matching rule;

[0009] Determining the short circuit degree of the rotor winding based on the capacity level, the characteristic peak value, and preset judgment information.

[0010] Furthermore, the spectrum type of the gain spectrum includes a single-ended gain spectrum; the matching rule includes: a first preset condition, a second preset condition, and a third preset condition;

[0011] Determining the characteristic peak in the gain spectrum based on the number of periodic fluctuations, the spectrum type of the gain spectrum, and a preset matching rule, including:

[0012] Matching the number of periodic fluctuations with the preset conditions in the matching rule, and determining the characteristic peak in the gain spectrum according to the matching result; wherein, if the number of periodic fluctuations meets the first preset condition, the positive peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the second preset condition, the negative peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the third preset condition, the positive peak of the second periodic fluctuation in the gain spectrum is the characteristic peak.

[0013] Furthermore, the matching rule further includes: a fourth preset condition; if the number of periodic fluctuations meets the fourth preset condition, there is no inter-turn short circuit in the rotor winding.

[0014] Furthermore, the spectrum type of the gain spectrum includes a two-port gain spectrum; the matching rule includes: a fifth preset condition, a sixth preset condition, and a seventh preset condition;

[0015] Determining the characteristic peak in the gain spectrum based on the number of periodic fluctuations, the spectrum type of the gain spectrum, and a preset matching rule, including:

[0016] Matching the number of periodic fluctuations with the preset conditions in the matching rule, and determining the characteristic peak in the gain spectrum according to the matching result; wherein, if the number of periodic fluctuations meets the fifth preset condition, the positive peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the sixth preset condition, the negative peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the seventh preset condition, the positive peak of the second periodic fluctuation in the gain spectrum is the characteristic peak.

[0017] Furthermore, the degree of short circuit of the rotor winding includes: no inter-turn short circuit, high-resistance inter-turn short circuit, low-resistance inter-turn short circuit, and metallic inter-turn short circuit.

[0018] In a second aspect, the present application provides a device for determining the short circuit of a rotor winding, including:

[0019] An acquisition module, configured to acquire the parameter information of the rotor winding, where the parameter information includes: the number of periodic fluctuations of the rotor winding, the gain spectrum, and the capacity level of the generator to which the rotor winding belongs;

[0020] A peak determination module, configured to determine the characteristic peak in the gain spectrum based on the number of periodic fluctuations, the spectrum type of the gain spectrum, and a preset matching rule;

[0021] A short circuit determination module, configured to determine the degree of short circuit of the rotor winding based on the capacity level, the characteristic peak, and preset judgment information.

[0022] Furthermore, the spectral type of the gain spectrum includes a single-ended gain spectrum; the matching rules include: a first preset condition, a second preset condition, and a third preset condition;

[0023] The peak determination module is specifically configured to:

[0024] Match the number of periodic fluctuations with the preset conditions in the matching rules, and determine the characteristic peak in the gain spectrum according to the matching result; wherein, if the number of periodic fluctuations meets the first preset condition, the positive peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the second preset condition, the negative peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the third preset condition, the positive peak of the second periodic fluctuation in the gain spectrum is the characteristic peak.

[0025] Furthermore, the matching rules further include: a fourth preset condition; if the number of periodic fluctuations meets the fourth preset condition, there is no inter-turn short circuit in the rotor winding.

[0026] Furthermore, the spectral type of the gain spectrum includes a double-ended gain spectrum; the matching rules include: a fifth preset condition, a sixth preset condition, and a seventh preset condition;

[0027] The peak determination module is specifically configured to:

[0028] Match the number of periodic fluctuations with the preset conditions in the matching rules, and determine the characteristic peak in the gain spectrum according to the matching result; wherein, if the number of periodic fluctuations meets the fifth preset condition, the positive peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the sixth preset condition, the negative peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the seventh preset condition, the positive peak of the second periodic fluctuation in the gain spectrum is the characteristic peak.

[0029] Furthermore, the degree of short circuit of the rotor winding includes: no inter-turn short circuit, high-resistance inter-turn short circuit, low-resistance inter-turn short circuit, and metallic inter-turn short circuit.

[0030] In a third aspect, the present application provides an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the above processor executes the above program, the steps of the above method for determining the short circuit of the rotor winding are implemented.

[0031] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method for determining the short circuit of the rotor winding are implemented.

[0032] Fifth aspect, the present application provides a computer program product, including a computer program / instructions, which when executed by a processor, implement the steps of the above-mentioned method for determining the short circuit of the rotor winding.

[0033] In this way, through the number of periodic fluctuations of the rotor winding, the spectral type of the gain spectrum, and the preset matching rules, the characteristic peak value that can accurately reflect the short circuit degree of the rotor winding in the gain spectrum is determined. Further, in combination with the characteristic peak value, the capacity level of the generator to which the rotor winding belongs, and the preset judgment information, the short circuit degree of the rotor winding is determined. This not only reduces the implementation conditions for short circuit diagnosis, but also realizes the quantitative analysis of short circuit diagnosis, can distinguish different degrees of short circuit, improves the accuracy and reliability of diagnosis. In addition, it can effectively prevent the occurrence of accidents, ensure the stable operation of the power system, reduce the maintenance cost at the same time, and improve the equipment management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate some embodiments of this specification or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments recorded in this specification. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0035] Figure 1 It is a schematic flowchart of a method for determining the short circuit of a rotor winding provided by an embodiment of the present application;

[0036] Figure 2 It is a gain spectrum diagram provided by an embodiment of the present application;

[0037] Figure 3 It is another gain spectrum diagram provided by an embodiment of the present application;

[0038] Figure 4 It is a schematic curve diagram of a characteristic peak value provided by an embodiment of the present application;

[0039] Figure 5 It is a fitting curve diagram of the normalized attenuation of the short circuit resistance provided by an embodiment of the present application;

[0040] Figure 6 It is a schematic diagram for judging the short circuit degree provided by an embodiment of the present application;

[0041] Figure 7 It is another gain spectrum diagram provided by an embodiment of the present application;

[0042] Figure 8 It is another gain spectrum diagram provided by an embodiment of the present application;

[0043] Figure 9 Another gain spectrogram provided by an embodiment of the present application;

[0044] Figure 10 Another gain spectrogram provided by an embodiment of the present application;

[0045] Figure 11 Another gain spectrogram provided by an embodiment of the present application;

[0046] Figure 12 A structural schematic diagram of a short - circuit determination device for a rotor winding provided by an embodiment of the present application;

[0047] Figure 13 A structural schematic diagram of a computer device provided by an embodiment of the present application. Detailed implementation manners

[0048] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in some embodiments of this specification. Obviously, the described embodiments are only some embodiments of this specification, rather than all embodiments. Based on some embodiments in this specification, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the scope of protection of this specification.

[0049] It should be noted that the terms "first", "second", etc. in the specification, claims and above - mentioned drawings of this article are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of this article described here can be implemented in an order different from those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non - exclusive inclusion. For example, a process, method, device, product or equipment that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or equipment. It should be noted that the acquisition, storage, use, processing, etc. of data in the technical solutions of this application all comply with the relevant regulations of relevant laws and regulations.

[0050] During the actual operation of large - scale synchronous generators, due to the structural type of rotor insulating paper and insulating sheets, the high standards of manufacturing processes, and complex operating conditions (such as deep peak - shaving of thermal power units, oil pollution, high - speed rotation, frequent start - stop of pumped - storage units, centrifugal force, multi - condition conversion, etc.), the inter - turn short - circuit defect rate of the rotor windings of such generators is relatively high.

[0051] In the related art, the off-line diagnostic methods for the inter-turn short circuit fault of the rotor winding mainly include the AC impedance method, the inter-pole voltage method, the sub-pack voltage drop method, the repetitive pulse oscilloscope method, etc. Among them, the AC impedance method has low sensitivity and requires the application of relatively high voltages and currents. The inter-pole voltage method and the sub-pack voltage drop method must be carried out in the out-of-bore state and require the application of relatively high voltages to ensure sufficient sensitivity. When the repetitive pulse method is actually applied, due to its high sensitivity, it does not require the harsh conditions of the above three methods and only needs to apply a relatively low voltage to achieve, which is relatively convenient. However, the waveforms of the repetitive pulses are difficult to unify, resulting in a lack of a unified standard for fault diagnosis.

[0052] As can be seen from the above, the short circuit diagnostic methods in the related art are not perfect and cannot effectively diagnose the inter-turn short circuit fault of the rotor winding. And they are all qualitative diagnostic methods and do not meet the quantitative diagnostic standard. In actual engineering, there is a greater demand and value for the quantitative diagnosis of short circuits. In the actual process, the position and degree of the inter-turn short circuit of the rotor winding are relatively complex. When formulating a specific quantitative diagnostic standard, the following three aspects of factors need to be considered:

[0053] 1. Short circuit degree. Depending on the transition resistance at the short circuit point, the short circuit degree may include high-resistance short circuit, low-resistance short circuit, metallic short circuit, multi-turn short circuit, etc. The short circuit degree is directly related to the operation and maintenance strategy of the unit. Generally, a high-resistance short circuit is of a relatively minor degree and can continue to operate for observation. However, a metallic short circuit means that there is a real short circuit fault in the rotor, and whether it can operate may require more careful consideration.

[0054] 2. Short circuit position. Different short circuit positions will result in obvious differences in the spectral numerical values reflected by the same degree of short circuit. When judging the short circuit degree, a design method needs to be considered to comprehensively take into account the influence of different short circuit positions on the criterion.

[0055] 3. Rotor structure differences. There are obvious differences in the rotor structures of different generator capacity grades and different manufacturers. Different structures result in different frequency domain impedances, and the impedance criteria are also different under the same short circuit. The design of the quantitative short circuit criterion needs to consider this influencing factor.

[0056] To sum up, there is no corresponding short circuit diagnostic method in the related art that can have lower implementation conditions, a unified diagnostic standard, and achieve the quantitative diagnosis of short circuits.

[0057] Based on this, the present application provides a method for determining the short circuit of a rotor winding. By obtaining the parameter information of the rotor winding, such as the number of periodic fluctuations and the gain spectrum of the rotor winding. Then, according to the number of periodic fluctuations of the rotor winding and the spectrum type of the gain spectrum, the characteristic peak value in the gain spectrum of the rotor winding is determined. Furthermore, according to the characteristic peak value, the capacity level of the generator to which the rotor winding belongs, and the preset judgment information, the short circuit degree of the rotor winding is determined. In the technical solution provided by the present application, not only are there no harsh implementation conditions during application, but also there is a unified fault diagnosis standard. Moreover, quantitative diagnosis of short circuits is achieved. Different characteristic peak values correspond to different short circuit degrees, such as no turn-to-turn short circuit, high-resistance turn-to-turn short circuit, low-resistance turn-to-turn short circuit, and metallic turn-to-turn short circuit, etc.

[0058] To facilitate the understanding of the technical solution of the present application, the following explains relevant technical terms:

[0059] 1. Frequency-domain impedance method

[0060] A method that measures the port impedance amplitude spectrum of the two poles of the rotor winding with respect to the shaft in a swept-frequency manner and diagnoses whether there is a turn-to-turn short circuit in the rotor winding through a specific analysis method.

[0061] 2. Impedance amplitude spectrum

[0062] The impedance amplitude spectrum represents the discrete relationship curve of the impedance amplitude changing with the test frequency.

[0063] 3. Cut-off spectral peak

[0064] The spectral peak with the highest frequency in the impedance amplitude spectrum of the rotor winding in the range of 1 kHz to 800 kHz. In the range of 1 kHz to 800 kHz, the impedance amplitude spectrum tends to be flat after the cut-off spectral peak and gradually decays to near zero.

[0065] 4. Cut-off spectral peak frequency

[0066] The frequency value corresponding to the cut-off spectral peak.

[0067] 5. Cut-off frequency

[0068] In the impedance magnitude spectrum, when the test frequency is greater than the cut-off spectral peak frequency, the frequency value corresponding to the impedance magnitude decaying to 0.707 times the peak value closest to the cut-off spectral peak. The cut-off frequency characterizes the high-pass characteristic of the impedance at the rotor winding port within a certain frequency range, and the typical value is between 350 kHz and 600 kHz. For two impedance magnitude spectra to be compared, the lower value of the cut-off frequencies of the two is taken as the cut-off frequency.

[0069] 6. Single-port gain spectrum

[0070] A spectrum characterizing the ratio of the impedance magnitudes at the same frequency points in the impedance magnitude spectrum of a certain pole of the rotor winding to the reference impedance magnitude spectrum without short circuit at the same pole.

[0071] 7. Double-port gain spectrum

[0072] A spectrum characterizing the ratio of the impedance magnitudes at the same frequency points in the impedance magnitude spectra of two poles during the same test of the rotor winding.

[0073] 8. Number of periodic fluctuations

[0074] The number of single positive fluctuations or consecutive positive and negative fluctuations presented as a whole after ignoring local fluctuations in the starting section of the single-port gain spectrum or double-port gain spectrum in the range from the minimum test frequency to the cut-off frequency.

[0075] 9. Characteristic peak

[0076] The peak value of a specific spectral peak used to judge the degree of inter-turn short circuit of the rotor winding during periodic fluctuations.

[0077] As Figure 1 shown, it is a schematic flow chart of a method for determining short circuit of a rotor winding provided by an embodiment of the present application, which specifically includes the following steps:

[0078] S101. Obtain the parameter information of the rotor winding.

[0079] Among them, the parameter information includes: the number of periodic fluctuations of the rotor winding, the gain spectrum, and the capacity level of the generator to which the rotor winding belongs. It should be noted that the number of periodic fluctuations is used to characterize the number of single positive value fluctuations or consecutive positive and negative value alternating fluctuations presented as a whole after ignoring the local fluctuations in the starting section of the gain spectrum within the range of the minimum test frequency to the cut-off frequency. The number of periodic fluctuations can be determined based on the gain spectrum, and the number of periodic fluctuations is determined by the single positive value fluctuation or consecutive positive and negative value alternating fluctuations in the gain spectrum.

[0080] S102. Determine the characteristic peak in the gain spectrum based on the number of periodic fluctuations, the spectrum type of the gain spectrum, and a preset matching rule.

[0081] S103. Determine the short-circuit degree of the rotor winding based on the capacity level, the characteristic peak, and preset judgment information.

[0082] In this way, through the number of periodic fluctuations of the rotor winding, the spectrum type of the gain spectrum, and a preset matching rule, the characteristic peak that can accurately reflect the short-circuit degree of the rotor winding in the gain spectrum is determined. Further, in combination with the characteristic peak, the capacity level of the generator to which the rotor winding belongs, and preset judgment information, the short-circuit degree of the rotor winding is determined. This not only reduces the implementation conditions for short-circuit diagnosis but also realizes the quantitative analysis of short-circuit diagnosis, can distinguish different degrees of short-circuit, improves the accuracy and reliability of diagnosis. In addition, it can effectively prevent accidents from occurring, ensure the stable operation of the power system, reduce the maintenance cost at the same time, and improve the equipment management efficiency.

[0083] The following explains each of the above steps:

[0084] S101. Obtain the parameter information of the rotor winding.

[0085] Among them, the parameter information includes: the number of periodic fluctuations of the rotor winding, the gain spectrum, and the capacity level of the generator to which the rotor winding belongs. The number of periodic fluctuations of the rotor winding is used to characterize the position information of the short circuit. The larger the number of periodic fluctuations Np, the closer the short-circuit position is to the center of the positive and negative poles of the rotor. The gain spectrum is a means to characterize the impedance amplitude spectrum difference of the rotor winding before and after a short-circuit fault occurs or between the two poles of the same rotor winding. The capacity level of the generator to which the rotor winding belongs characterizes different power generation capabilities. For generators with different capacity levels, the judgment system for their short-circuit degree is also different. Therefore, when determining the short-circuit degree of the rotor winding, it is necessary to refer to the capacity level of the generator to which the rotor winding belongs.

[0086] Specifically, the gain spectrum includes a single-ended gain spectrum and a differential gain spectrum. The differential gain spectrum compares the data measured at both ports simultaneously. The influence of the short-circuit position and degree is consistent for both ports. The single-ended gain spectrum compares the data of the current port with historical data or reference data. Theoretically, it can cover the entire winding length, that is, the single-ended gain spectrum of any one of the two ports at the rotor ends can be used to determine the fault. However, as Figure 2 shown, when the fault is far from this port, the number of periodic fluctuations Np increases with the distance of the fault point, the gain value decays greatly, and the accuracy of short-circuit judgment is relatively low. Based on this, to ensure the accuracy of short-circuit judgment, when diagnosing short circuits through the single-ended gain spectrum, the single-ended gain spectrum of this port or the single-ended gain spectrum of the opposite port can be selected for diagnosis according to the number of periodic fluctuations of the rotor winding. Exemplarily, when the number of periodic fluctuations Np of the rotor winding is greater than Nc, the single-ended gain spectrum of the opposite port is selected for diagnosis. When the number of periodic fluctuations Np of the rotor winding is less than or equal to Nc, the single-ended gain spectrum of this port is selected for diagnosis. Nc is the upper limit of the number of periodic fluctuations, usually 4 or 5.

[0087] S102. Determine the characteristic peak value in the gain spectrum based on the number of periodic fluctuations, the spectrum type of the gain spectrum, and a preset matching rule.

[0088] It should be noted that to ensure the accuracy of selecting the characteristic peak value, the following selection principles should be followed when selecting the characteristic peak value:

[0089] 1. Avoid the influence of inherent fluctuations. As Figure 3 shown, when there is an inter-turn short-circuit fault in the rotor winding, there will be inherent small fluctuations in the gain spectrum, and they are all within 0-100 kHz. To avoid interfering with the selection of the characteristic peak value, the characteristic peak value should avoid this area.

[0090] 2. Reflect the main energy component. For the case where there are multiple characteristic peaks in the gain spectrum, the main peak with a larger peak value should be selected as much as possible to reflect the main characteristics of the inter-turn short circuit.

[0091] 3. Try to keep the threshold stable when the position changes, simplify the criterion, and facilitate use. When the inter-turn short-circuit position is different, the number of characteristic peaks is different. For the same characteristic peak, different short-circuit positions can lead to large differences in the characteristic peak value. At this time, the characteristic peak should be reasonably selected so that its peak value has good stability with the short-circuit position, which can simplify the criterion system and better meet the requirements of convenience in use.

[0092] Based on the above spectrum type of the gain spectrum and the above selection principles, the present application determines the characteristic peak value in the gain spectrum based on the number of periodic fluctuations and the spectrum type of the gain spectrum.

[0093] S103. Determine the short - circuit degree of the rotor winding based on the capacity level, characteristic peak value, and preset judgment information.

[0094] Among them, the preset judgment information is used to characterize the short - circuit degree of the rotor winding corresponding to different characteristic peak values and different capacity levels. The short - circuit degree of the rotor winding includes: no turn - to - turn short - circuit, high - resistance turn - to - turn short - circuit, low - resistance turn - to - turn short - circuit, and metallic turn - to - turn short - circuit.

[0095] In some embodiments, based on the simulated short - circuit method, determine the characteristic peak values corresponding to different short - circuit degrees.

[0096] Specifically, on defect - free rotors or new rotors with several typical structures and capacities, conduct short - circuit simulations, collect short - circuit data, and through data analysis and fitting, obtain the characteristic peak values corresponding to different short - circuit degrees.

[0097] Exemplarily, taking the capacity level of the generator to which the rotor winding belongs as 600 MW as an example, apply metallic short - circuits at different positions on the defect - free rotor winding. Obtain the characteristic peak value curves of metallic short - circuits at different positions, as Figure 4 shown. The number of sample points at different positions can be different sets of rotors (generally 1 - 8 sets) or the number of magnetic poles (for hydro - generator sets), or can be more finely divided into different turns within different sets (such as 1 - 1 representing the first turn of the first set of windings) or different turns within different magnetic poles (1 - 1 representing the first turn of the first magnetic pole). The method of applying metallic short - circuits can be to simultaneously contact two turns of the winding above and below the rotor short - circuit point through a probe with a resistance value close to 0 (generally ≤0.5 Ω) according to the rotor structure.

[0098] Furthermore, at each coordinate point on the abscissa in Figure 4 , that is, at each short - circuit position, apply non - metallic short - circuit points with different short - circuit resistance values (such as 1 Ω, 5 Ω, 10 Ω, 50 Ω), and obtain the characteristic peak value data of different short - circuit resistances at the same position. Taking the characteristic peak value of metallic short - circuit at any short - circuit position in Figure 4 as the rated reference, the ratio of the characteristic peak value data of different short - circuit resistances at the same position to the characteristic peak value of metallic short - circuit at any short - circuit position is used as the ordinate value, and the short - circuit resistance is used as the abscissa value to draw the normalized attenuation curve of the characteristic peak value at the short - circuit position with respect to the short - circuit resistance. Among them, the short - circuit resistance includes at least three points in 0 - 20 Ω, and preferably shows a linear or exponential distribution. The normalized attenuation curve of the characteristic peak value with respect to the short - circuit resistance includes two types: double - end gain spectral gain value and single - end gain spectral gain value. Finally, fit the normalized attenuation curves of the characteristic peak value with respect to the short - circuit resistance at different short - circuit positions to obtain the normalized attenuation fitting curve of the characteristic peak value with respect to the short - circuit resistance, as Figure 5 shown.

[0099] Repeat the above steps to obtain several groups of normalized decay fitting curves of the short-circuit resistance of the generator rotor winding with different typical structures at different positions.

[0100] For the rotor winding, according to the different short-circuit resistances, the short-circuit degree is divided into different degree levels such as metallic turn-to-turn short circuit, high-resistance turn-to-turn short circuit, low-resistance turn-to-turn short circuit, and no turn-to-turn short circuit. The corresponding resistance demarcation point values are Rl0, Rl1, Rl2 (for example, 0.2Ω, 5Ω, 10Ω), that is, the short-circuit resistance range corresponding to the metallic turn-to-turn short circuit is 0 to Rl0, the short-circuit resistance value range corresponding to the high-resistance turn-to-turn short circuit is Rl0 to Rl1, the short-circuit resistance value range corresponding to the low-resistance turn-to-turn short circuit is Rl1 to Rl2, and the short-circuit resistance value range corresponding to no turn-to-turn short circuit is ≥Rl2. Furthermore, combined with the normalized decay fitting curve of the short-circuit resistance, the characteristic peaks corresponding to different resistance demarcation points are determined, and the short-circuit degree judgment lines at different positions are drawn, as Figure 6 shown.

[0101] It should be noted that for the short-circuit degree of the rotor winding corresponding to different capacity levels, starting from the technical principle, for the rotor windings of generators with the same capacity level, the fault characteristics under the same position and the same short-circuit degree are relatively consistent. Therefore, it can be classified according to the same capacity or the same series of rotor windings to simplify the judgment system for easy use. As Figure 4 shown in the judgment curve of the typical rotor under 600MW, the judgment value samples under the same position and the same short-circuit degree form the judgment samples. Based on the sample mean or minimum value principle, the consistency criterion for the same capacity or the same series of rotors is determined.

[0102] In some embodiments, the spectrum type of the gain spectrum includes a single-ended gain spectrum; the matching rules include: a first preset condition, a second preset condition, and a third preset condition; determining the characteristic peak in the gain spectrum based on the number of periodic fluctuations, the spectrum type of the gain spectrum, and the preset matching rules can be specifically implemented as the following steps:

[0103] Match the number of periodic fluctuations with the preset conditions in the matching rules, and determine the characteristic peak in the gain spectrum according to the matching result.

[0104] Among them, if the number of periodic fluctuations satisfies the first preset condition, the positive peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations satisfies the second preset condition, the negative peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations satisfies the third preset condition, the positive peak of the second periodic fluctuation in the gain spectrum is the characteristic peak.

[0105] Exemplarily, the matching rule may be a rule table including a first preset condition, a second preset condition, and a third preset condition, as shown in Table 1. Table 1 represents the correspondence between the number of periodic fluctuations and the characteristic peak value in the gain spectrum when the spectrum type of the gain spectrum includes a single-ended gain spectrum. Among them, the first preset condition is that the number of periodic fluctuations is equal to the first threshold value, the second preset condition is that the number of periodic fluctuations is equal to the second threshold value, the third preset condition is that the number of periodic fluctuations is greater than or equal to the third threshold value and less than or equal to the fourth threshold value, and the fourth threshold value is used to represent the upper limit value of the number of periodic fluctuations, which is also called the upper limit periodic fluctuation number.

[0106] Table 1

[0107]

[0108] In some embodiments, the matching rule further includes: a fourth preset condition; if the number of periodic fluctuations satisfies the fourth preset condition, there is no inter-turn short circuit in the rotor winding. Exemplarily, as shown in Table 2, in addition to including the first preset condition, the second preset condition, and the third preset condition in Table 1, Table 2 also includes the fourth preset condition. The fourth preset condition is that the number of periodic fluctuations is greater than the fourth threshold value and there is no inter-turn short circuit in the rotor winding, which is also described as no inter-turn short circuit in this pole.

[0109] Table 2

[0110]

[0111] It should be noted that the first threshold value, the second threshold value, the third threshold value, and the upper limit periodic fluctuation number can be determined according to the capacity level of the generator to which the rotor winding belongs. Specifically, as shown in Table 3, the specific values of the first threshold value, the second threshold value, the third threshold value, and the fourth threshold value in the first preset condition, the second preset condition, and the third preset condition corresponding to different capacity levels are shown. Among them, for generators with a capacity level of 300MW and 600MW, the first threshold value is 0.5, the second threshold value is 1, the third threshold value is 2, and the fourth threshold value is 5. For generators with a capacity level of 1000MW, the first threshold value is 0.5, the second threshold value is 1, the third threshold value is 2, and the fourth threshold value is 4. Among them, the first threshold value, the second threshold value, the third threshold value, and the fourth threshold value can be set according to the actual situation, and the present application does not limit this.

[0112] Table 3

[0113]

[0114] In some embodiments, the spectral type of the gain spectrum includes a two - end gain spectrum; the matching rules include: a fifth preset condition, a sixth preset condition, and a seventh preset condition; determining the characteristic peak in the gain spectrum based on the number of periodic fluctuations, the spectral type of the gain spectrum, and the preset matching rules can be specifically implemented as the following steps:

[0115] Match the number of periodic fluctuations with the preset conditions in the matching rules, and determine the characteristic peak in the gain spectrum according to the matching result.

[0116] Among them, if the number of periodic fluctuations satisfies the fifth preset condition, the positive peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations satisfies the sixth preset condition, the negative peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations satisfies the seventh preset condition, the positive peak of the second periodic fluctuation in the gain spectrum is the characteristic peak.

[0117] Exemplarily, the matching rule can be a rule table including the fifth preset condition, the sixth preset condition, and the seventh preset condition, as shown in Table 4. Table 4 represents the correspondence between the number of periodic fluctuations and the characteristic peak in the gain spectrum when the spectral type of the gain spectrum includes a two - end gain spectrum. It should be noted that the preset conditions are determined according to the capacity level of the generator to which the rotor winding belongs. For example, in the case of a capacity level of 300 MW, the fifth preset condition is that the number of periodic fluctuations is equal to the first threshold, the sixth preset condition is that the number of periodic fluctuations is equal to the second threshold, the seventh preset condition is that the number of periodic fluctuations is greater than or equal to the third threshold and less than or equal to the fourth threshold, and the fourth threshold is used to represent the upper limit value of the number of periodic fluctuations, which is also called the upper - limit periodic fluctuation number. Another example is that in the case of capacity levels of 600 MW and 1000 MW, the fifth preset condition is that the number of periodic fluctuations is equal to the first threshold, the sixth preset condition is that the number of periodic fluctuations is equal to the second threshold, and the seventh preset condition is that the number of periodic fluctuations is greater than or equal to the third threshold.

[0118] Table 4

[0119] <![CDATA[Number of periodic fluctuations N p > <![CDATA[Characteristic peak P c > Fourth preset condition Positive peak of periodic fluctuation Second preset condition Negative peak of periodic fluctuation Third preset condition Positive peak of the second periodic fluctuation

[0120] It should be noted that the first threshold, the second threshold, the third threshold, and the upper limit of the number of periodic fluctuations can be determined according to the capacity level of the generator to which the rotor winding belongs. Specifically, as shown in Table 5, the specific values of the first threshold, the second threshold, the third threshold, and the fourth threshold in the fifth preset condition, the sixth preset condition, and the seventh preset condition corresponding to different capacity levels are provided. Among them, for generators with a capacity level of 300MW and 600MW, the first threshold is 0.5, the second threshold is 1, the third threshold is 2, and the fourth threshold is 5. For generators with a capacity level of 1000MW, the first threshold is 0.5, the second threshold is 1, the third threshold is 2, and the fourth threshold is 4. Among them, the first threshold, the second threshold, the third threshold, and the fourth threshold can be set according to the actual situation, and the present application does not limit this.

[0121] Table 5

[0122]

[0123] Exemplarily, as Figure 7 shown, Figure 7 shows the single - ended gain spectrum diagram and the differential - ended gain spectrum diagram when the number of periodic fluctuations Np = 0.5. Among them, fz represents the cut - off frequency, the circular markers are characteristic peaks, that is, the positive peaks of periodic fluctuations. It should be noted that as shown by the rectangular marker in the single - ended gain spectrum diagram when the number of periodic fluctuations Np = 0.5, there are certain local fluctuations in the starting section (generally within 150kHz) of this single - ended gain spectrum. When determining the number of periodic fluctuations, similar fluctuations should be ignored, and only the basic trend should be concerned, as shown by the dashed line in the figure.

[0124] Another exemplarily, as Figure 8 shown, Figure 8 shows the single - ended gain spectrum diagram and the differential - ended gain spectrum diagram when the number of periodic fluctuations Np = 1. Among them, fz represents the cut - off frequency, the area within the solid vertical line represents one - time periodic fluctuation, and the circular markers are characteristic peaks, that is, the negative peaks of periodic fluctuations.

[0125] Another exemplarily, as Figure 9 shown, Figure 9 shows the single - ended gain spectrum diagram when the number of periodic fluctuations Np is greater than or equal to 2 and less than or equal to 5. Among them, fz represents the cut - off frequency, the area between each solid vertical line represents one - time periodic fluctuation, and the circular markers are characteristic peaks, that is, the positive peaks of the second periodic fluctuation.

[0126] Another exemplarily, as Figure 10 shown, Figure 10 shows the differential - ended gain spectrum diagram when the number of periodic fluctuations Np is greater than or equal to 2. Among them, fz represents the cut - off frequency, the area between each solid vertical line represents one - time periodic fluctuation, and the circular markers are characteristic peaks, that is, the positive peaks of the second periodic fluctuation.

[0127] Another exemplary one is as Figure 11 shown, Figure 11 showing the single - ended gain frequency spectrum when the number of periodic fluctuations Np is greater than 5. Where fz represents the cut - off frequency, the interval between each solid vertical line represents one periodic fluctuation, and the degree of no turn - to - turn short - circuit in the rotor winding.

[0128] In some embodiments, the preset judgment information includes the relevant content shown in Table 1 and Table 2. Among them, when the spectrum type of the gain frequency spectrum shown in Table 1 includes the single - ended gain frequency spectrum, the short - circuit degree corresponding to different capacity levels, different numbers of periodic fluctuations, and different characteristic peaks is shown. Table 2 represents the short - circuit degree corresponding to different capacity levels, different numbers of periodic fluctuations, and different characteristic peaks when the spectrum type of the gain frequency spectrum includes the double - ended gain frequency spectrum.

[0129] Table 6

[0130]

[0131] Table 6 - continued

[0132]

[0133] Table 7

[0134]

[0135] Table 7 - continued

[0136]

[0137] It can be understood that the number of periodic fluctuations N p and the characteristic peak in the criterion (dB) in Tables 6 and 7 can be set according to the actual situation, and are not limited to the relevant content presented in Tables 6 and 7.

[0138] Exemplarily, taking the number of periodic judgments of the rotor winding as 2, the spectrum type of the gain frequency spectrum as the double - ended gain frequency spectrum, and the capacity level of the generator to which the rotor winding belongs as 1000 MW as an example, the positive peak value of the second periodic fluctuation in the double - ended gain frequency spectrum is determined as the characteristic peak, and further, the short - circuit degree of the rotor winding is determined according to the characteristic peak. If the characteristic peak is less than 0.4, it is determined that the rotor winding has no turn - to - turn short - circuit; if the characteristic peak is greater than or equal to 0.4 and less than 0.8, it is determined that the rotor winding has a high - resistance turn - to - turn short - circuit; if the characteristic peak is greater than or equal to 0.8 and less than 1.9, it is determined that the rotor winding has a low - resistance turn - to - turn short - circuit; if the characteristic peak is greater than or equal to 1.9, it is determined that the rotor winding has a metallic turn - to - turn short - circuit.

[0139] In this way, based on the number of periodic fluctuations of the rotor winding, the spectral type of the gain spectrum, and the preset matching rules, the characteristic peak value in the gain spectrum that can accurately reflect the short - circuit degree of the rotor winding is determined. Further, in combination with the characteristic peak value, the capacity level of the generator to which the rotor winding belongs, and the preset judgment information, the short - circuit degree of the rotor winding is determined. This not only reduces the implementation conditions for short - circuit diagnosis but also realizes the quantitative analysis of short - circuit diagnosis, can distinguish different degrees of short - circuit, improves the accuracy and reliability of diagnosis. In addition, it can effectively prevent accidents, ensure the stable operation of the power system, reduce the maintenance cost, and improve the equipment management efficiency.

[0140] It should be noted that the information collected in this application is information and data authorized by the user or fully authorized by all parties. And for the processing of relevant data such as collection, storage, use, processing, transmission, provision, disclosure, and application, all comply with the relevant laws, regulations, and standards of relevant countries and regions, take necessary confidentiality measures, do not violate public order and good customs, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0141] It should be noted that the technical solution provided in this application provides corresponding operation entrances for users to choose to agree or refuse the results of automated decision - making; if the user chooses to refuse, the expert decision - making process will be entered.

[0142] Figure 12 FIG. is a schematic structural diagram of a short - circuit determination device for a rotor winding provided by an embodiment of the present application. This device is used to execute the above - mentioned short - circuit determination method for the rotor winding, as Figure 12 shown. The short - circuit determination device for the rotor winding includes: an acquisition module 1201, a peak value determination module 1202, and a short - circuit determination module 1203.

[0143] The acquisition module 1201 is used to acquire the parameter information of the rotor winding. The parameter information includes: the number of periodic fluctuations of the rotor winding, the gain spectrum, and the capacity level of the generator to which the rotor winding belongs;

[0144] The peak value determination module 1202 is used to determine the characteristic peak value in the gain spectrum based on the number of periodic fluctuations, the spectral type of the gain spectrum, and the preset matching rules;

[0145] The short - circuit determination module 1203 is used to determine the short - circuit degree of the rotor winding based on the capacity level, the characteristic peak value, and the preset judgment information.

[0146] Further, the spectral type of the gain spectrum includes a single - ended gain spectrum; the matching rules include: a first preset condition, a second preset condition, and a third preset condition;

[0147] The peak value determination module 1202 is specifically used for:

[0148] Match the number of periodic fluctuations with the preset conditions in the matching rule, and determine the characteristic peak in the gain spectrum according to the matching result. Among them, if the number of periodic fluctuations meets the first preset condition, the positive peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the second preset condition, the negative peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the third preset condition, the positive peak of the second periodic fluctuation in the gain spectrum is the characteristic peak.

[0149] Furthermore, the matching rule also includes: a fourth preset condition; if the number of periodic fluctuations meets the fourth preset condition, there is no inter-turn short circuit in the rotor winding.

[0150] Furthermore, the spectrum type of the gain spectrum includes a two-port gain spectrum; the matching rule includes: a fifth preset condition, a sixth preset condition, and a seventh preset condition;

[0151] The peak determination module 1202 is specifically used for:

[0152] Match the number of periodic fluctuations with the preset conditions in the matching rule, and determine the characteristic peak in the gain spectrum according to the matching result. Among them, if the number of periodic fluctuations meets the fifth preset condition, the positive peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the sixth preset condition, the negative peak of the periodic fluctuation in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the seventh preset condition, the positive peak of the second periodic fluctuation in the gain spectrum is the characteristic peak.

[0153] Furthermore, the short-circuit degree of the rotor winding includes: no inter-turn short circuit, high-resistance inter-turn short circuit, low-resistance inter-turn short circuit, and metallic inter-turn short circuit.

[0154] In this way, through the number of periodic fluctuations of the rotor winding, the spectrum type of the gain spectrum, and the preset matching rule, the characteristic peak that can accurately reflect the short-circuit degree of the rotor winding in the gain spectrum is determined. Further, in combination with the characteristic peak, the capacity level of the generator to which the rotor winding belongs, and the preset judgment information, the short-circuit degree of the rotor winding is determined. This not only reduces the implementation conditions for short-circuit diagnosis but also realizes the quantitative analysis of short-circuit diagnosis, can distinguish different degrees of short-circuit, improves the accuracy and reliability of diagnosis. In addition, it can effectively prevent the occurrence of accidents, ensure the stable operation of the power system, reduce the maintenance cost at the same time, and improve the equipment management efficiency.

[0155] The systems, apparatuses, modules, or units illustrated in the above embodiments may be specifically implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer device. Specifically, the computer device may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or any combination of these devices.

[0156] An embodiment of the present invention provides a computer device, including a memory and a processor. The memory is used to store information including program instructions, and the processor is used to control the execution of the program instructions. When the program instructions are loaded and executed by the processor, the steps of the above embodiments of the short - circuit determination method for the rotor winding are implemented. For specific descriptions, reference can be made to the embodiments of the short - circuit determination method for the rotor winding above.

[0157] The following refers to Figure 13 , which shows a schematic structural diagram of a computer device 1300 suitable for implementing the embodiments of the present application.

[0158] As Figure 13 shown, the computer device 1300 includes a central processing unit (CPU) 1301, which can perform various appropriate operations and processes according to the program stored in the read - only memory (ROM) 1302 or the program loaded from the storage section 1308 into the random access memory (RAM) 1303. In the RAM 1303, various programs and data required for the operation of the computer device 1300 are also stored. The CPU 1301, ROM 1302, and RAM 1303 are connected to each other via a bus 1304. The input / output (I / O) interface 1305 is also connected to the bus 1304.

[0159] The following components are connected to the I / O interface 1305: an input section 1306 including a keyboard, a mouse, etc.; an output section 1307 including, for example, a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1308 including a hard disk, etc.; and a communication section 1309 including a network interface card such as a LAN card, a modem, etc. The communication section 1309 performs communication processing via a network such as the Internet. A drive 1310 is also connected to the I / O interface 1005 as required. A removable medium 1311, such as a magnetic disk, an optical disk, a magneto - optical disk, a semiconductor memory, etc., is installed on the drive 1310 as required, so that the computer program read from it can be installed into the storage section 1308 as required.

[0160] In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, an embodiment of the present invention includes a computer program product that includes a computer program tangibly embodied on a machine-readable medium, the computer program including program code for performing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 1309, and / or installed from the removable medium 1311.

[0161] Computer-readable media includes both permanent and non-permanent, removable and non-removable media implemented by any method or technology for storing information. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transitory medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0162] For convenience of description, the above-described apparatus is described by function as various units. Of course, when implementing the present application, the functions of each unit can be implemented in one or more pieces of software and / or hardware.

[0163] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce an apparatus for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0164] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0165] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0166] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0167] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0168] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0169] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0170] This application may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The application may also be practiced in a distributed computing environment where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including storage devices.

[0171] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference may be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and reference may be made to the corresponding parts of the method embodiments for the relevant content.

[0172] The above description is only for the embodiments of this application and is not intended to limit this application. For those skilled in the art, various changes and modifications can be made to this application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the scope of the claims of this application.

Claims

1. A method for determining a short circuit of a rotor winding, characterized in that: include: Acquire parameter information of the rotor winding, the parameter information including: the number of periodic fluctuations of the rotor winding, the gain spectrum and the capacity level of the generator to which the rotor winding belongs; Determining a characteristic peak in the gain spectrum based on the number of periodic fluctuations, the spectrum type of the gain spectrum and a preset matching rule; The short circuit degree of the rotor winding is determined based on the capacity level, the characteristic peak value and preset judgment information.

2. The method according to claim 1, characterized in that The spectrum type of the gain spectrum includes a single-ended gain spectrum; the matching rule includes: a first preset condition, a second preset condition and a third preset condition; The determining of the characteristic peak value in the gain spectrum based on the number of periodic fluctuations, the spectrum type of the gain spectrum and a preset matching rule includes: The number of periodic fluctuations is matched with the preset conditions in the matching rules, and the characteristic peak in the gain spectrum is determined according to the matching result; wherein, if the number of periodic fluctuations meets the first preset condition, the positive peak of the periodic fluctuations in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the second preset condition, the negative peak of the periodic fluctuations in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the third preset condition, the positive peak of the second periodic fluctuation in the gain spectrum is the characteristic peak.

3. The method according to claim 2, characterized in that The matching rule also includes: a fourth preset condition; if the number of periodic fluctuations meets the fourth preset condition, there is no inter-turn short circuit in the rotor winding.

4. The method according to claim 1, characterized in that: The spectrum type of the gain spectrum includes a double-ended gain spectrum; the matching rule includes: a fifth preset condition, a sixth preset condition and a seventh preset condition; The determining of the characteristic peak value in the gain spectrum based on the number of periodic fluctuations, the spectrum type of the gain spectrum and a preset matching rule includes: The number of periodic fluctuations is matched with the preset conditions in the matching rules, and the characteristic peak in the gain spectrum is determined according to the matching result; wherein, if the number of periodic fluctuations meets the fifth preset condition, the positive peak of the periodic fluctuations in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the sixth preset condition, the negative peak of the periodic fluctuations in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the seventh preset condition, the positive peak of the second periodic fluctuation in the gain spectrum is the characteristic peak.

5. The method according to claim 1, characterized in that The short circuit degree of the rotor winding includes: no turn-to-turn short circuit, high-resistance turn-to-turn short circuit, low-resistance turn-to-turn short circuit and metallic turn-to-turn short circuit.

6. A short circuit determination device for a rotor winding, characterized in that: include: An acquisition module, used for acquiring parameter information of the rotor winding, the parameter information including: the number of periodic fluctuations of the rotor winding, the gain spectrum and the capacity level of the generator to which the rotor winding belongs; A peak value determination module, used to determine a characteristic peak value in the gain spectrum based on the number of periodic fluctuations, the spectrum type of the gain spectrum and a preset matching rule; A short circuit determination module is used to determine the short circuit degree of the rotor winding based on the capacity level, the characteristic peak value and preset judgment information.

7. The device according to claim 6, characterized in that The spectrum type of the gain spectrum includes a single-ended gain spectrum; the matching rule includes: a first preset condition, a second preset condition and a third preset condition; The determining of the characteristic peak value in the gain spectrum based on the number of periodic fluctuations and the spectrum type of the gain spectrum comprises: The peak value determination module is specifically used for: The number of periodic fluctuations is matched with the preset conditions in the matching rules, and the characteristic peak in the gain spectrum is determined according to the matching result; wherein, if the number of periodic fluctuations meets the first preset condition, the positive peak of the periodic fluctuations in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the second preset condition, the negative peak of the periodic fluctuations in the gain spectrum is the characteristic peak; if the number of periodic fluctuations meets the third preset condition, the positive peak of the second periodic fluctuation in the gain spectrum is the characteristic peak.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the method for determining a short circuit of a rotor winding according to any one of claims 1 to 5 are implemented.

9. 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 for determining a short circuit of a rotor winding according to any one of claims 1 to 5 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method for determining a short circuit of a rotor winding as claimed in any one of claims 1 to 5 are implemented.

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