Injection signal determination method for transformer winding state monitoring and related device

Abstract

The embodiment of the invention discloses an injection signal determination method for transformer winding state monitoring and a related device. The method comprises the following steps: acquiring an original injection signal and a response signal of a transformer; determining a first standard variance of the original injection signal, a second standard variance of the response signal and a covariance between the original injection signal and the response signal by using the original injection signal, the response signal, a covariance algorithm and a standard variance algorithm; determining a target differentiation coefficient according to the first standard deviation, the second standard deviation, the covariance and a preset differentiation coefficient algorithm; and performing optimization processing by using the target differentiation coefficient, the original injection signal and a preset optimization algorithm to obtain a target injection signal. By optimizing the original injection signal, the accuracy and real-time performance of monitoring are improved. Compared with a traditional method, the method can better adapt to different working states of the transformer, more accurate state evaluation is provided, and therefore a scientific basis is provided for maintenance and fault prevention of the transformer.

Description

Technical Field

[0001] The present invention relates to the field of transformer winding state monitoring, and in particular to a method for determining an injection signal for transformer winding state monitoring and a related device. Background Art

[0002] As the core equipment in the power system, the health status of the transformer winding is directly related to the safe and stable operation of the power grid. The deformation or damage of the transformer winding may lead to the instability of the power system and even cause large-scale power outages. Therefore, it is very important to effectively monitor the transformer winding status and timely detect potential faults and damage to ensure the safe operation of the power system.

[0003] In transformer winding condition monitoring, the voltage injection method is an important technical means. By injecting a specific voltage signal into the transformer winding, the response of the winding can be detected to evaluate its condition. In practical applications, the method for determining the injection signal of the coupling capacitor faces many challenges. The injection signal needs to take into account the different working conditions and grid conditions of the transformer to meet different monitoring needs.

[0004] Therefore, there is still a lack of an injection signal determination method that can improve the accuracy and real-time performance of winding state monitoring. Summary of the invention

[0005] The main purpose of the present invention is to provide an injection signal determination method and related devices for transformer winding state monitoring, which can solve the problem in the prior art that there is a lack of an injection signal determination method that improves the accuracy and real-time performance of winding state monitoring.

[0006] To achieve the above object, the present invention provides a method for determining an injection signal for transformer winding state monitoring in a first aspect, the method comprising:

[0007] Acquiring an original injection signal and a response signal of the transformer;

[0008] Determine a first standard deviation of the original injection signal, a second standard deviation of the response signal, and a covariance between the original injection signal and the response signal by using the original injection signal, the response signal, a preset covariance algorithm, and a preset standard deviation algorithm;

[0009] Determining a target differentiation coefficient according to the first standard deviation, the second standard deviation and the covariance and a preset differentiation coefficient algorithm;

[0010] The target differentiation coefficient, the original injection signal and a preset optimization algorithm are used to perform optimization processing to obtain a target injection signal.

[0011] In a feasible implementation, the obtaining of the original injection signal and the response signal of the transformer includes:

[0012] A sine wave signal is injected into the coupling capacitor of the transformer winding state monitoring, and the voltage amplitude sequence of the injected signal is collected, which is recorded as X i ; At the same time, the voltage amplitude sequence of the transformer winding response signal is collected, denoted as Y i .

[0013] In one possible implementation, the standard deviation algorithm includes the following mathematical expression:

[0014]

[0015] Where Dx is the standard deviation of the original injected signal, D y is the standard deviation of the response signal, X i is the voltage amplitude sequence of the original injection signal; Y i is the voltage amplitude sequence of the response signal.

[0016] In one possible implementation, the covariance algorithm includes the following mathematical expression:

[0017]

[0018] In the formula, C xy is the covariance of the original injection signal and the response signal, X i is the voltage amplitude sequence of the original injection signal; Y i is the voltage amplitude sequence of the response signal.

[0019] In one feasible implementation, the differentiation coefficient algorithm includes the following mathematical expression:

[0020]

[0021] Where ε is the target differentiation coefficient, Dx is the standard deviation of the original injection signal, and D y is the standard deviation of the response signal, X i is the voltage amplitude sequence of the original injection signal; Y i is the voltage amplitude sequence of the response signal, and max is the maximum value.

[0022] In one feasible implementation, the optimization algorithm includes the following mathematical expression:

[0023]

[0024] In the formula, Inject signal to the target, X iis the voltage amplitude sequence of the original injection signal, and ε is the target differentiation coefficient.

[0025] To achieve the above object, the second aspect of the present invention provides an injection signal determination device for transformer winding state monitoring, the device comprising:

[0026] Signal acquisition module: used to acquire the original injection signal and response signal of the transformer;

[0027] A parameter determination module: used to determine a first standard deviation of the original injection signal, a second standard deviation of the response signal, and a covariance between the original injection signal and the response signal by using the original injection signal, the response signal, a preset covariance algorithm, and a preset standard deviation algorithm;

[0028] A difference determination module: used to determine a target differentiation coefficient according to the first standard deviation, the second standard deviation and the covariance and a preset differentiation coefficient algorithm;

[0029] Signal optimization module: used to perform optimization processing using the target differentiation coefficient, the original injection signal and a preset optimization algorithm to obtain a target injection signal.

[0030] In a feasible implementation, the signal acquisition module is specifically used to: inject a sine wave signal into the coupling capacitor of the transformer winding state monitoring, and collect the voltage amplitude sequence of the injected signal, which is recorded as X i ; At the same time, the voltage amplitude sequence of the transformer winding response signal is collected, denoted as Y i .

[0031] To achieve the above-mentioned purpose, the third aspect of the present invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the steps shown in the first aspect and any feasible implementation method.

[0032] To achieve the above-mentioned purpose, the fourth aspect of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps shown in the first aspect and any feasible implementation method.

[0033] The embodiments of the present invention have the following beneficial effects:

[0034] The present invention provides a method for determining an injection signal for transformer winding state monitoring, the method comprising: obtaining an original injection signal and a response signal of the transformer; using the original injection signal, the response signal, a preset covariance algorithm and a preset standard deviation algorithm to determine the first standard deviation of the original injection signal, the second standard deviation of the response signal and the covariance between the original injection signal and the response signal; determining a target differentiation coefficient according to the first standard deviation, the second standard deviation and the covariance and a preset differentiation coefficient algorithm; performing optimization processing using the target differentiation coefficient, the original injection signal and a preset optimization algorithm to obtain a target injection signal. Through the above method, the original injection signal is optimized, and the accuracy and real-time performance of monitoring are improved. Compared with the traditional method, the method proposed by the present invention can better adapt to different working conditions of the transformer, provide a more accurate state assessment, and thus provide a scientific basis for transformer maintenance and fault prevention. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] in:

[0037] Figure 1 It is a flow chart of a method for determining an injection signal for transformer winding state monitoring in an embodiment of the present invention;

[0038] Figure 2 It is a structural block diagram of an injection signal determination device for transformer winding state monitoring in an embodiment of the present invention;

[0039] Figure 3 4 is a structural block diagram of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] See also Figure 1 , Figure 1This is a flow chart of a method for determining an injection signal for transformer winding state monitoring in an embodiment of the present invention. The method can be applied to both a terminal and a server. The terminal can be a desktop terminal or a mobile terminal. The mobile terminal can be at least one of a mobile phone, a tablet computer, a laptop computer, etc. The server can be implemented by an independent server or a server cluster composed of multiple servers. This embodiment is described by applying to a terminal as an example. Figure 1 The method shown includes the following steps:

[0042] 101. Obtain an original injection signal and a response signal of the transformer;

[0043] It should be noted that, first, the injection signal and transformer response signal data need to be obtained. The injection signal and response signal are obtained when the transformer is subjected to a frequency response (abbreviated as frequency response) test. Specifically, the injection signal is a signal injected into the coupling capacitor of the frequency response test, and the response signal is the response signal of the transformer after injection, which can be specifically the response of the winding. The winding state can be evaluated by the injection signal and the response signal. For example, the winding state is used to reflect whether the winding has abnormal performance, such as deformation, etc. Specifically, step 101 includes injecting a sine wave signal into the coupling capacitor of the transformer winding state monitoring, and collecting the voltage amplitude sequence of the injection signal, which is recorded as X i ; At the same time, the voltage amplitude sequence of the transformer winding response signal is collected, denoted as Y i .

[0044] For example, a sine wave signal is injected into the coupling capacitor for transformer winding status monitoring, the signal amplitude is 10V, the frequency is 500kHz, and the voltage amplitude sequence of the injected signal is collected, which is recorded as X i ; At the same time, the voltage amplitude sequence of the transformer winding response signal is collected, denoted as Y i .

[0045] 102. Determine a first standard deviation of the original injection signal, a second standard deviation of the response signal, and a covariance between the original injection signal and the response signal by using the original injection signal, the response signal, a preset covariance algorithm, and a preset standard deviation algorithm;

[0046] Furthermore, the standard deviation and covariance of the original injection signal and the response signal are calculated. Specifically, the first standard deviation Dx of the original injection signal and the second standard deviation Dx of the response signal are determined by using the original injection signal, the response signal, a preset covariance algorithm and a preset standard deviation algorithm. y And the covariance C between the original injection signal and the response signal xy .

[0047] Exemplarily, the standard deviation algorithm includes the following mathematical expression:

[0048]

[0049] Where Dx is the standard deviation of the original injected signal, D y is the standard deviation of the response signal, X i is the voltage amplitude sequence of the original injection signal; Y i is the voltage amplitude sequence of the response signal.

[0050] Exemplarily, the covariance algorithm includes the following mathematical expression:

[0051]

[0052] In the formula, C xy is the covariance of the original injection signal and the response signal, X i is the voltage amplitude sequence of the original injection signal; Y i is the voltage amplitude sequence of the response signal.

[0053] 103. Determine a target differentiation coefficient according to the first standard deviation, the second standard deviation, the covariance, and a preset differentiation coefficient algorithm;

[0054] Furthermore, the first standard deviation, the second standard deviation and the covariance may be used to obtain a differentiation coefficient. Specifically, the target differentiation coefficient may be determined according to the first standard deviation, the second standard deviation and the covariance and a preset differentiation coefficient algorithm.

[0055] Exemplarily, the differentiation coefficient algorithm includes the following mathematical expression:

[0056]

[0057] Where ε is the target differentiation coefficient, Dx is the standard deviation of the original injection signal, and D y is the standard deviation of the response signal, X i is the voltage amplitude sequence of the original injection signal; Y i is the voltage amplitude sequence of the response signal, and max is the maximum value.

[0058] 104. Perform optimization processing using the target differentiation coefficient, the original injection signal and a preset optimization algorithm to obtain a target injection signal.

[0059] Finally, the original injection signal is optimized using the calculated target differentiation coefficient. Specifically, the target differentiation coefficient ε, the original injection signal X i And the preset optimization algorithm is used for optimization processing to obtain the target injection signal

[0060] Exemplarily, the optimization algorithm includes the following mathematical expression:

[0061]

[0062] In the formula, Inject signal to the target, X i is the voltage amplitude sequence of the original injection signal, and ε is the target differentiation coefficient.

[0063] The present invention provides a method for determining an injection signal for transformer winding state monitoring, the method comprising: obtaining an original injection signal and a response signal of the transformer; using the original injection signal, the response signal, a preset covariance algorithm and a preset standard deviation algorithm to determine the first standard deviation of the original injection signal, the second standard deviation of the response signal and the covariance between the original injection signal and the response signal; determining a target differentiation coefficient according to the first standard deviation, the second standard deviation and the covariance and a preset differentiation coefficient algorithm; optimizing the target differentiation coefficient, the original injection signal and the preset optimization algorithm to obtain a target injection signal. Through the above method, the original injection signal is optimized, and the accuracy and real-time performance of monitoring are improved. Compared with the traditional method, the method proposed by the present invention can better adapt to different working states of the transformer, provide a more accurate state evaluation, and thus provide a scientific basis for the maintenance and fault prevention of the transformer. The injection signal determined according to the differentiation coefficient can better adapt to different working states of the transformer, provide a more accurate state evaluation, and lay a foundation for ensuring the safe and reliable operation of the transformer.

[0064] See also Figure 2 , Figure 2 FIG. 1 is a structural block diagram of an injection signal determination device for transformer winding state monitoring in an embodiment of the present invention. Figure 2 The device shown comprises:

[0065] Signal acquisition module 201: used to acquire the original injection signal and response signal of the transformer;

[0066] Parameter determination module 202: used to determine a first standard deviation of the original injection signal, a second standard deviation of the response signal, and a covariance between the original injection signal and the response signal by using the original injection signal, the response signal, a preset covariance algorithm, and a preset standard deviation algorithm;

[0067] The difference determination module 203 is used to determine a target differentiation coefficient according to the first standard deviation, the second standard deviation and the covariance and a preset differentiation coefficient algorithm;

[0068] The signal optimization module 204 is used to perform optimization processing using the target differentiation coefficient, the original injection signal and a preset optimization algorithm to obtain a target injection signal.

[0069] In a feasible implementation, the signal acquisition module is specifically used to: inject a sine wave signal into the coupling capacitor of the transformer winding state monitoring, and collect the voltage amplitude sequence of the injected signal, which is recorded as X i ; At the same time, the voltage amplitude sequence of the transformer winding response signal is collected, denoted as Y i .

[0070] It should be noted that if Figure 2 The functions of each module in the device shown are Figure 1 The contents of each step in the method shown are similar, so they are not described here to avoid repetition. For details, please refer to Figure 1 The content of each step in the method shown.

[0071] The present invention provides an injection signal determination device for transformer winding state monitoring, the device comprising: a signal acquisition module: used to obtain the original injection signal and response signal of the transformer; a parameter determination module: used to determine the first standard deviation of the original injection signal, the second standard deviation of the response signal and the covariance between the original injection signal and the response signal by using the original injection signal, the response signal, a preset covariance algorithm and a preset standard deviation algorithm; a difference determination module: used to determine the target differentiation coefficient according to the first standard deviation, the second standard deviation and the covariance and the preset differentiation coefficient algorithm; a signal optimization module: used to optimize the target differentiation coefficient, the original injection signal and the preset optimization algorithm to obtain the target injection signal. Through the above device, the original injection signal is optimized, and the accuracy and real-time performance of monitoring are improved. Compared with the traditional method, the method proposed by the present invention can better adapt to different working conditions of the transformer, provide more accurate state evaluation, and thus provide a scientific basis for the maintenance and fault prevention of the transformer.

[0072] Figure 3 FIG. 1 shows an internal structure diagram of a computer device in an embodiment. The computer device may be a terminal or a server. Figure 3 As shown, the computer device includes a processor, a memory and a network interface connected via a system bus. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor can implement the above method. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor can implement the above method. Those skilled in the art can understand that Figure 3The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application 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.

[0073] In one embodiment, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps: Figure 1 The steps of the method are shown.

[0074] In one embodiment, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the processor performs the following steps: Figure 1 The steps of the method are shown.

[0075] 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 program can be stored in a non-volatile computer-readable storage medium. When the 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 in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0076] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0077] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining an injection signal for transformer winding state monitoring, characterized in that: The method comprises: Acquiring an original injection signal and a response signal of the transformer; Determine a first standard deviation of the original injection signal, a second standard deviation of the response signal, and a covariance between the original injection signal and the response signal by using the original injection signal, the response signal, a preset covariance algorithm, and a preset standard deviation algorithm; Determining a target differentiation coefficient according to the first standard deviation, the second standard deviation and the covariance and a preset differentiation coefficient algorithm; The target differentiation coefficient, the original injection signal and a preset optimization algorithm are used to perform optimization processing to obtain a target injection signal.

2. The method according to claim 1, characterized in that: The obtaining of the original injection signal and the response signal of the transformer comprises: A sine wave signal is injected into the coupling capacitor of the transformer winding state monitoring, and the voltage amplitude sequence of the injected signal is collected, which is recorded as X i ; At the same time, the voltage amplitude sequence of the transformer winding response signal is collected, denoted as Y i .

3. The method according to claim 2, characterized in that: The standard deviation algorithm includes the following mathematical expression: Where Dx is the standard deviation of the original injected signal, D y is the standard deviation of the response signal, X i is the voltage amplitude sequence of the original injection signal; Y i is the voltage amplitude sequence of the response signal.

4. The method according to claim 2, characterized in that: The covariance algorithm includes the following mathematical expression: In the formula, C xy is the covariance of the original injection signal and the response signal, X i is the voltage amplitude sequence of the original injection signal; Y i is the voltage amplitude sequence of the response signal.

5. The method according to claim 2, characterized in that: The differentiation coefficient algorithm includes the following mathematical expression: Where ε is the target differentiation coefficient, Dx is the standard deviation of the original injection signal, and D y is the standard deviation of the response signal, X i is the voltage amplitude sequence of the original injection signal; Y i is the voltage amplitude sequence of the response signal, and max is the maximum value.

6. The method according to claim 2, characterized in that: The optimization algorithm includes the following mathematical expression: In the formula, Inject signal to the target, X i is the voltage amplitude sequence of the original injection signal, and ε is the target differentiation coefficient.

7. A device for determining an injection signal for transformer winding state monitoring, characterized in that: The device comprises: Signal acquisition module: used to acquire the original injection signal and response signal of the transformer; A parameter determination module: used to determine a first standard deviation of the original injection signal, a second standard deviation of the response signal, and a covariance between the original injection signal and the response signal by using the original injection signal, the response signal, a preset covariance algorithm, and a preset standard deviation algorithm; A difference determination module: used to determine a target differentiation coefficient according to the first standard deviation, the second standard deviation and the covariance and a preset differentiation coefficient algorithm; Signal optimization module: used to perform optimization processing using the target differentiation coefficient, the original injection signal and a preset optimization algorithm to obtain a target injection signal.

8. The device according to claim 7, characterized in that: The signal acquisition module is specifically used to: inject a sine wave signal into the coupling capacitor of the transformer winding state monitoring, and collect the voltage amplitude sequence of the injected signal, which is recorded as X i ; At the same time, the voltage amplitude sequence of the transformer winding response signal is collected, denoted as Y i .

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 6.

10. A computer device comprising a memory and a processor, characterized in that: The memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 6.

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