Transformer metering anomaly identification method, device and equipment and storage medium

Abstract

The application provides a kind of transformer metering abnormality identification method, device, equipment and storage medium, method includes: the metering winding operating signal of the interconnection transformer in multiple transformer substations is collected;Based on metering winding operating information, the transformer error deviation of each transformer substation relative to target power plant is calculated respectively;The transformer offline error of target power plant is obtained in advance, and according to the transformer offline error and the transformer error deviation of each transformer substation relative to target power plant, determine the suspected abnormal transformer;Determine the all similar transformers corresponding to the suspected abnormal transformer in the transformer substation where the suspected abnormal transformer is located;According to the error relative deviation of suspected abnormal transformer and each similar transformer, determine the stability of similar transformer, and determine whether the suspected abnormal transformer occurs metering abnormality based on the stability of similar transformer.The embodiment of the present application can improve the accuracy of abnormal detection of interstation interconnection transformer.

Description

Technical Field

[0001] This invention relates to the field of anomaly detection technology, and in particular to a method, apparatus, equipment and storage medium for identifying metering anomalies in current transformers. Background Technology

[0002] High-voltage electricity metering devices consist of high-voltage gate transformers and electricity meters. They can sense core electrical parameters of the power grid such as voltage and current, involving multiple stages of electricity metering and measurement. Their measurement data is the direct basis for electricity trade settlement and carbon trading. While electricity meters can be compared with standard meters while energized during operation, high-voltage transformers require a system power outage. In practice, most operating lines cannot be shut down for planned transformer error detection, leading to delays in detecting abnormal transformer errors and potentially causing electricity trade disputes. Current online monitoring technologies for voltage transformer metering performance analyze voltage transformers operating within a single station, not inter-station data with electrical relationships. Existing technologies collect output signals from voltage transformers within a station to construct a virtual standard, enabling performance evaluation. This technology lacks a real physical standard; the virtual standard is entirely built through data computation, resulting in low calculation accuracy. Summary of the Invention

[0003] The present invention aims to provide a method, apparatus, device and storage medium for identifying metering anomalies in current transformers, in order to solve the above-mentioned technical problems and thereby improve the accuracy of anomaly detection for current transformers at inter-station junctions.

[0004] To address the aforementioned technical problems, this invention provides a method for identifying metering anomalies in current transformers, comprising:

[0005] Collect metering winding operation signals from multiple substation gate instrument transformers;

[0006] Based on the metering winding operation information, the instrument transformer error deviation of each substation relative to the target power plant is calculated respectively;

[0007] Obtain the pre-recorded offline error of the instrument transformers of the target power plant, and determine the suspected abnormal instrument transformers based on the offline error of the instrument transformers and the error deviation of the instrument transformers of each substation relative to the target power plant.

[0008] Identify all similar instrument transformers in the substation where the suspected abnormal instrument transformer is located, corresponding to the suspected abnormal instrument transformer.

[0009] The stability of the current transformers of the same type is determined based on the relative error deviation between the suspected abnormal current transformer and each of the current transformers of the same type, and the metering abnormality of the suspected abnormal current transformer is determined based on the stability of the current transformers of the same type.

[0010] Further, the calculation of the instrument transformer error deviation of each substation relative to the target power plant based on the metering winding operating signal includes:

[0011] Establish two-port network power models for each substation and the target power plant respectively;

[0012] Based on the two-port network power model, the transformer error deviation of each substation relative to the target power plant is calculated by using the collected metering winding operation signals of the substation at different times.

[0013] Further, the step of acquiring the pre-recorded offline error of the instrument transformers at the target power plant, and determining suspected abnormal instrument transformers based on the offline error of the instrument transformers and the error deviation of the instrument transformers at each substation relative to the target power plant, includes:

[0014] The offline error of the instrument transformer is superimposed with the instrument transformer error deviation of each substation relative to the target power plant to obtain the gate instrument transformer error of each substation.

[0015] The current transformers at substations whose error exceeds the first threshold are identified as suspected abnormal current transformers.

[0016] Furthermore, determining all similar instrument transformers in the substation where the suspected abnormal instrument transformer is located, corresponding to the suspected abnormal instrument transformer, includes:

[0017] The transformers in the substation where the suspected abnormal transformer is located that have the same attributes as the suspected abnormal transformer are identified as transformers of the same type as the suspected abnormal transformer; wherein, the same attributes include the same voltage level and the same phase sequence.

[0018] Further, the step of determining the stability of the similar current transformers based on the relative error deviation between the suspected abnormal current transformer and each of the similar current transformers, and determining whether the suspected abnormal current transformer has experienced a metering abnormality based on the stability of the similar current transformers, includes:

[0019] Calculate the relative error deviation between the suspected abnormal current transformer and each of the same type of current transformer;

[0020] Based on the relative deviation of each error, determine whether the relative deviation of the same type of current transformer is stable;

[0021] If so, then it is determined that the suspected faulty current transformer has a metering abnormality;

[0022] If not, then it is determined that the suspected abnormal current transformer has not experienced any metering abnormality.

[0023] Furthermore, the transformer types in both the substation and the target power plant include voltage transformers and current transformers.

[0024] Furthermore, the transformer error deviation includes ratio difference deviation and phase difference deviation.

[0025] The present invention also provides a current transformer metering anomaly identification device, comprising:

[0026] The signal acquisition module is used to acquire the metering winding operation signals of multiple instrument transformers at the gates of substations;

[0027] The deviation calculation module is used to calculate the transformer error deviation of each substation relative to the target power plant based on the metering winding operation information.

[0028] The anomaly preliminary determination module is used to obtain the pre-recorded offline error of the instrument transformers of the target power plant, and to determine the suspected abnormal instrument transformers based on the offline error of the instrument transformers and the error deviation of the instrument transformers of each substation relative to the target power plant.

[0029] The same type of instrument transformer determination module is used to determine all similar instrument transformers in the substation where the suspected abnormal instrument transformer is located that correspond to the suspected abnormal instrument transformer.

[0030] An anomaly identification module is used to determine the stability of the current transformers of the same type based on the relative error deviation between the suspected abnormal current transformer and each of the current transformers of the same type, and to determine whether the suspected abnormal current transformer has a metering anomaly based on the stability of the current transformers of the same type.

[0031] The present invention also provides a terminal device, including a processor and a memory storing a computer program, wherein the processor executes the computer program to implement the current transformer metering anomaly identification method described in any one of the present invention.

[0032] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the current transformer metering anomaly identification method described in any one of the present invention.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] This invention provides a method, apparatus, device, and storage medium for identifying metering anomalies in instrument transformers. The method includes: acquiring the operating signals of the metering windings of multiple inter-substation inter-station instrument transformers; calculating the instrument transformer error deviation of each substation relative to a target power plant based on the metering winding operating information; obtaining pre-recorded offline errors of the instrument transformers at the target power plant, and determining suspected abnormal instrument transformers based on the offline errors and the instrument transformer error deviations of each substation relative to the target power plant; determining all similar instrument transformers in the substation where the suspected abnormal instrument transformer is located; determining the stability of the similar instrument transformers based on the relative error deviations between the suspected abnormal instrument transformer and each of the similar instrument transformers, and determining whether the suspected abnormal instrument transformer has experienced a metering anomaly based on the stability of the similar instrument transformers. Through embodiments, this invention can improve the accuracy of anomaly detection for inter-station inter-station instrument transformers. Attached Figure Description

[0035] Figure 1 This is one of the flowcharts illustrating the current transformer metering anomaly identification method provided by the present invention;

[0036] Figure 2 This is the second flowchart of the current transformer metering anomaly identification method provided by the present invention;

[0037] Figure 3 This is a functional schematic diagram of the high-voltage transformer operation monitoring device provided by the present invention;

[0038] Figure 4 This is a schematic diagram of the inter-station power transfer principle provided by the present invention;

[0039] Figure 5 This is a schematic diagram of the wiring principle of the current transformer in the station on the opposite side of the transmission line provided by the present invention;

[0040] Figure 6 This is a schematic diagram of the structure of the current transformer metering anomaly identification device provided by the present invention. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] Please see Figure 1 This invention provides a method for identifying metering anomalies in current transformers, which may include the following steps:

[0043] S1. Collect metering winding operation signals from multiple substation gate transformers;

[0044] S2. Calculate the instrument transformer error deviation of each substation relative to the target power plant based on the metering winding operation information;

[0045] S3. Obtain the pre-recorded offline error of the instrument transformer of the target power plant, and determine the suspected abnormal instrument transformers based on the offline error of the instrument transformer and the instrument transformer error deviation of each substation relative to the target power plant.

[0046] S4. Identify all similar instrument transformers in the substation where the suspected abnormal instrument transformer is located that correspond to the suspected abnormal instrument transformer.

[0047] S5. Determine the stability of the current transformers of the same type based on the relative error deviation between the suspected abnormal current transformer and each of the current transformers of the same type, and determine whether the suspected abnormal current transformer has a metering abnormality based on the stability of the current transformers of the same type.

[0048] It should be noted that, firstly, the offline error data of the current transformers at the power plant's control points are recorded. Then, the operating signals of the metering windings of all current transformers at the control points within the substations corresponding to each outgoing line of the power plant are collected, including amplitude, phase angle, frequency, and time data. Next, using the current transformers at the control points within the substations as reference quantities, the voltage and current transformers at both ends of a line are considered as a two-port network. A two-port network electrical quantity model is established. By collecting transformer signals at two different times, the error deviation of the transformers on the substation side relative to those on the power plant side on the same line can be calculated. Combined with the pre-recorded offline errors of the power plant's current transformers, suspected abnormal current transformers exceeding a certain threshold can be identified. Finally, all similar current transformers in the substation where the suspected abnormal current transformer is located are acquired. Based on the error stability of these similar current transformers, it is ultimately determined whether the suspected abnormal current transformer has experienced a metering anomaly.

[0049] Further, the calculation of the instrument transformer error deviation of each substation relative to the target power plant based on the metering winding operating signal includes:

[0050] Establish two-port network power models for each substation and the target power plant respectively;

[0051] Based on the two-port network power model, the transformer error deviation of each substation relative to the target power plant is calculated by using the collected metering winding operation signals of the substation at different times.

[0052] Further, the step of acquiring the pre-recorded offline error of the instrument transformers at the target power plant, and determining suspected abnormal instrument transformers based on the offline error of the instrument transformers and the error deviation of the instrument transformers at each substation relative to the target power plant, includes:

[0053] The offline error of the instrument transformer is superimposed with the instrument transformer error deviation of each substation relative to the target power plant to obtain the gate instrument transformer error of each substation.

[0054] The current transformers at substations whose error exceeds the first threshold are identified as suspected abnormal current transformers.

[0055] It should be noted that there can be one or more suspected abnormal current transformers. When multiple suspected abnormal current transformers are determined to exist based on the set first threshold, it is necessary to obtain the corresponding current transformers of the same type for each of these suspected abnormal current transformers in order to determine whether each suspected abnormal current transformer has a metering abnormality.

[0056] Furthermore, determining all similar instrument transformers in the substation where the suspected abnormal instrument transformer is located, corresponding to the suspected abnormal instrument transformer, includes:

[0057] The transformers in the substation where the suspected abnormal transformer is located that have the same attributes as the suspected abnormal transformer are identified as transformers of the same type as the suspected abnormal transformer; wherein, the same attributes include the same voltage level and the same phase sequence.

[0058] It should be noted that the similar transformers in the substation corresponding to the suspected abnormal transformer can be determined based on the consistency of voltage level and phase sequence, and for the same suspected abnormal transformer, there are at least two similar transformers.

[0059] Further, the step of determining the stability of the similar current transformers based on the relative error deviation between the suspected abnormal current transformer and each of the similar current transformers, and determining whether the suspected abnormal current transformer has experienced a metering abnormality based on the stability of the similar current transformers, includes:

[0060] Calculate the relative error deviation between the suspected abnormal current transformer and each of the same type of current transformer;

[0061] Based on the relative deviation of each error, determine whether the relative deviation of the same type of current transformer is stable;

[0062] If so, then it is determined that the suspected faulty current transformer has a metering abnormality;

[0063] If not, then it is determined that the suspected abnormal current transformer has not experienced any metering abnormality.

[0064] It should be noted that the determination of stability may include: determining an average error line or median error line based on multiple similar current transformers, and then qualitatively determining whether the errors of these similar current transformers are stable based on whether the value or number exceeding this average error line or median error line exceeds a set threshold.

[0065] Furthermore, the transformer types in both the substation and the target power plant include voltage transformers and current transformers.

[0066] Furthermore, the transformer error deviation includes ratio difference deviation and phase difference deviation.

[0067] Based on the above scheme, and to facilitate a better understanding of the current transformer metering anomaly identification method provided in the embodiments of the present invention, the following detailed description is provided:

[0068] It should be noted that this invention provides a method for identifying metering anomalies in inter-station instrument transformers based on a power plant as the starting point. All instrument transformers within a power plant have error data within their calibration period. Starting with a power plant, the method monitors the metering performance of operating instrument transformers in substations with which it has a direct electrical topology relationship. This method first assesses whether the relative deviations of voltage and current transformers at both ends of a transmission line are normal. If an anomaly is found, the relative deviations of all instrument transformers in the substation containing the abnormal transformer are assessed. If the relative deviation of the abnormal transformer is also abnormal compared to other transformers of the same voltage level and phase sequence within the substation, then the transformer is considered abnormal; otherwise, a warning is issued, and the monitoring frequency is increased. This invention can be applied to scenarios where power grid companies assess whether the metering performance of operating instrument transformers within substations is abnormal, and has a wide range of applications.

[0069] Please see Figures 2 to 5 The embodiments of the present invention mainly include the following aspects:

[0070] 1) The flowchart of the embodiment of the present invention is as follows: Figure 2 As shown, the process includes: First, recording the offline error data of the current transformers at the power plant's terminals; then, collecting the output signals of the metering windings of all current transformers at the substations corresponding to each outgoing line of the power plant, including amplitude, phase angle, frequency, and time; next, using the current transformers at the substations as reference quantities, considering the voltage and current transformers at both ends of a line as a two-port network. Since there is no power source section in the transmission line, such as... Figure 4As shown, a two-port network power model is established. By collecting transformer signals at two different times, the error deviation of the transformers on the substation side relative to those on the power plant side on the same line can be calculated. If the error deviation is within the threshold, the transformers on the substation side are considered normal, and monitoring continues. If the error deviation exceeds the threshold (identifying a suspected abnormal transformer), the relative error deviation of all similar transformers in the substation where the abnormal transformer is located is calculated to further investigate the abnormal transformer. If the investigation finds that the error deviation of this transformer compared to other transformers of the same voltage and phase sequence meets the threshold, the transformer is judged as a warning, and monitoring is strengthened. If the error deviation of this transformer compared to other transformers of the same voltage and phase sequence exceeds the threshold, the transformer is judged as abnormal. Finally, a replacement task for the gate transformer is generated, and the evaluation process is completed.

[0071] 2) Functions of the high-voltage transformer operation monitoring device, such as Figure 3 As shown, the device collects analog electrical signals output from the current transformers at the junction. The voltage portion uses parallel acquisition, while the current portion uses series acquisition. An internal B-code synchronization device controls the acquisition of multi-channel voltage and current signals to the 1μs level, achieving a signal phase acquisition deviation within 1′ across multiple substations. This reduces sampling deviations caused by the speed of electrical signal propagation between multiple stations, significantly improving the accuracy of transformer error deviation analysis. Internally, the device converts the sampled signals with precise time stamps into digital values, performs RMS analysis, and uploads data packets to the background analysis system at a frequency of one data packet per second.

[0072] 3) The principle of power transfer between power plants and substations Figure 4 As shown in the diagram. s represents the power plant, a represents the substation, and the total impedance of the transmission line is represented by R + j / ωC + jωL. Is represents the primary current generated by the power plant, Us represents the primary voltage of the transmission line at the power plant side, Ia represents the primary current received by the substation, and Ua represents the primary voltage of the transmission line at the substation side. According to the two-port network formula, we can obtain:

[0073] The voltage and current of a two-port network can be expressed as:

[0074]

[0075] The voltage and current signals at both ends of the line at two different times can be expressed as:

[0076]

[0077] In the above equations, voltage and current are primary data. The data collected by the instrument transformer is a secondary signal of the line, which includes the transformer's own errors. Here, we establish an instrument transformer signal correction coefficient k, let k us and k uaThese are the voltage signal correction coefficients at the S-end of the power plant and the voltage signal correction coefficients at the A-end of the substation, respectively; k is and k ia These are the correction coefficients for the current signal at terminal 's' of the power plant and terminal 'a' of the substation, respectively. s1 and a1 represent the sampled values ​​at the first moment, and s2 and a2 represent the sampled values ​​at the second moment. Expressing the linear equation using a quadratic signal containing the correction coefficients yields:

[0078]

[0079] The voltage and current values ​​in this equation are data collected from the metering windings of the instrument transformers. By incorporating the unknowns, including the instrument transformer correction coefficients, into the line admittance matrix, the formula becomes:

[0080]

[0081] Let x be the admittance matrix of the above equation. n This can be simplified to:

[0082]

[0083] Since the transmission line is a passive two-port circuit, the diagonal values ​​of the admittance matrix are equal, i.e., Y 11 =Y 22 Y 12 =Y 21 The equation can be simplified to:

[0084]

[0085] If the transformer ratios on opposite sides of the same transmission line are the same, and we assume that the ratio is k, then k in the above formula... us and k ua This can be simplified to a relationship expressed in terms of mutual inductor error:

[0086]

[0087] The above equation ε ua and ε us The errors of voltage transformers in substations and power plants are respectively considered, therefore x n This can be simplified to:

[0088]

[0089] Similarly, the error of a current transformer can be expressed as:

[0090]

[0091] Substituting formulas (8) and (9) into (5), since Is1, Is2, Us1, and Us2 can all be collected, the solution for the relative error deviation of the transformers at both ends of a line is completed.

[0092] 4) The wiring principle of the instrument transformer in the station on the opposite side of a transmission line is as follows: Figure 5 As shown. When the inter-station relative deviation calculation indicates that a certain instrument transformer in the substation may be abnormal, an intra-station instrument transformer anomaly calculation is performed. The relative deviation between the abnormal instrument transformer and all other instrument transformers of the same voltage level and phase sequence is compared within the substation. If the relative deviation between the abnormal instrument transformer and all other instrument transformers is large, while the relative deviations of other instrument transformers are small, then the abnormal instrument transformer is determined to be out of tolerance; otherwise, the abnormal instrument transformer is determined to be a warning.

[0093] Please continue to refer to Figure 5 The following are specific implementation methods for illustration:

[0094] by Figure 5 Taking instrument transformers in power plants and substations as an example, this invention provides a detailed explanation of how to evaluate the metering performance of instrument transformers. 's' represents the power plant side, and 'a' represents the substation side. The steps are as follows:

[0095] 1) Assess the relative error deviation of current transformers on the transmission line between the power plant and the substation. Based on the established formula, the error of the current transformers at the substation relative to the power plant can be calculated. Assume that the ratio difference deviation of the current transformers (CTs) in substation a relative to power station s is +0.15%, and the phase difference deviation is -2.5′.

[0096] 2) Record the offline error of the CT on the line of the power station s. Assume that the recorded offline error of the CT is: +0.16%, -5′;

[0097] 3) Based on the error of the transformer at the power plant and the error of the substation relative to the power plant, the error of this CT within the substation is calculated as follows: 0.15% = f ia -0.16% → f ia =0.31%; -2.5′=δ ia -(-5)→δ ia =7.5′. Assuming the error limit of the current transformer under normal conditions is f≤±0.2% and δ≤±10′, it can be seen that the ratio difference of the CTs in the substation is normal in the preliminary assessment.

[0098] 4) Compare the relative ratio differences of four groups of CTs with the same phase sequence at the same voltage level within the substation. Assume the relative deviation of the ratio difference between the CT assessed as abnormal and the other three groups of CTs is f. The formula for calculating the relative deviation of the ratio difference is... Assume the relative deviations of the calculated abnormal CT scan ratios from the other three CT scan groups are +0.21%, +0.19%, and 0.20%, respectively. Based on the data, the relative deviations of this abnormal CT scan from the other three CT scan groups are stable; therefore, the other three CT scan groups are normal, and this CT scan is out of tolerance.

[0099] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0100] 1. This invention proposes to analyze the instrument transformers in the opposite substation on the same transmission line, starting with the instrument transformers in the power plant. The transmission line between the power plant and the substation is considered a passive two-port network. By collecting instrument transformer signals at two different times and assuming that the transmission line parameters do not change in a short period, the relative error assessment of the two instrument transformers at both ends, unaffected by the line parameters, is completed. Using the power plant as a reference, the error value of the instrument transformers in the substation is calculated.

[0101] 2. This invention proposes to calculate the relative error deviation of instrument transformers under the same voltage level and phase sequence within a substation. This calculation assesses the stability of the relative error of abnormal instrument transformers identified in transmission line assessments compared to other instrument transformers, thus completing the assessment of all abnormal instrument transformer states within the substation. This enables the evaluation of the metering performance of instrument transformers within operating substations and substations with direct power transmission relationships.

[0102] 3. This invention provides a high-voltage transformer operation monitoring device. The device has a built-in B-code synchronous sampling device to complete the synchronous sampling of the operation data of all voltage transformers and current transformers in the station within 1μs, which solves the impact of phase acquisition deviation caused by electrical propagation between multiple substations on error assessment.

[0103] It should be noted that the features of this invention include:

[0104] 1) This invention presents a wide-area-level gate instrument transformer metering anomaly identification scheme starting from a power plant. Using the power plant instrument transformer as a reference signal, the scheme monitors whether the metering performance of the instrument transformers in the substations along the same transmission line is abnormal.

[0105] 2) This invention provides a method for calculating the relative error deviation of instrument transformers at both ends of a transmission line after deducting transmission line parameters. By treating the transmission line as a passive two-port network, the line parameters can be considered unchanged for a short period of time. The voltage and current signals at both ends of the line are collected twice within a short period of time, and the line parameters are canceled out by matrix equation transformation. The relative error of the instrument transformers at both ends can be calculated simply by collecting the voltage and current signals at both ends of the line. Since the instrument transformers in the power plant have offline data during the calibration period, the error data of the instrument transformers in the substation on the line can be calculated using the power plant instrument transformers as the standard value.

[0106] 3) This invention provides a method for calculating the error value of a certain instrument transformer in a substation, and by cross-comparing the same voltage and phase sequence in the substation, the error data of other instrument transformers in the substation can be calculated, thus completing the assessment of metering anomalies of all instrument transformers in the substation.

[0107] 4) This invention provides a scheme that can accurately calculate the error data of the current transformers at both ends of a transmission line. This scheme can be used to calculate the line loss of the transmission line, greatly improving the accuracy of statistical line loss calculation.

[0108] It should be noted that, for the sake of simplicity, the above methods or process embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0109] Please see Figure 6 This invention also provides a current transformer metering anomaly identification device, comprising:

[0110] Signal acquisition module 1 is used to acquire the metering winding operation signals of multiple inter-transformer gates in the substation;

[0111] Deviation calculation module 2 is used to calculate the transformer error deviation of each substation relative to the target power plant based on the metering winding operation information.

[0112] The anomaly preliminary determination module 3 is used to obtain the pre-recorded offline error of the instrument transformer of the target power plant, and determine the suspected abnormal instrument transformers based on the offline error of the instrument transformer and the error deviation of the instrument transformers of each substation relative to the target power plant.

[0113] The similar instrument transformer determination module 4 is used to determine all similar instrument transformers in the substation where the suspected abnormal instrument transformer is located that correspond to the suspected abnormal instrument transformer.

[0114] The anomaly identification module 5 is used to determine the stability of the current transformers of the same type based on the relative error deviation between the suspected abnormal current transformer and each of the current transformers of the same type, and to determine whether the suspected abnormal current transformer has a metering abnormality based on the stability of the current transformers of the same type.

[0115] It is understood that the above-described device embodiments correspond to the method embodiments of the present invention. The current transformer metering anomaly identification device provided by the embodiments of the present invention can realize the current transformer metering anomaly identification method provided by any one of the method embodiments of the present invention.

[0116] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the current transformer metering anomaly identification method described in any one of the present invention.

[0117] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0118] Those skilled in the art will clearly understand that, for convenience and brevity, the specific working process of the device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0119] The terminal device can be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0120] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the terminal device via various interfaces and lines.

[0121] The memory can be used to store the computer program. The processor implements various functions of the terminal device by running or executing the computer program stored in the memory and calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function, etc.; the data storage area may store data created based on the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0122] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When executed by a processor, the computer program can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0123] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for identifying metering anomalies in current transformers, characterized in that, include: Collect metering winding operation signals from multiple substation gate instrument transformers; The instrument transformer error deviation of each substation relative to the target power plant is calculated based on the metering winding operation signal. Obtain the pre-recorded offline error of the instrument transformers of the target power plant, and determine the suspected abnormal instrument transformers based on the offline error of the instrument transformers and the error deviation of the instrument transformers of each substation relative to the target power plant. Identify all similar instrument transformers in the substation where the suspected abnormal instrument transformer is located, corresponding to the suspected abnormal instrument transformer. The stability of the current transformers of the same type is determined based on the relative error deviation between the suspected abnormal current transformer and each of the current transformers of the same type, and the metering abnormality of the suspected abnormal current transformer is determined based on the stability of the current transformers of the same type.

2. The method for identifying metering anomalies in current transformers according to claim 1, characterized in that, The calculation of the instrument transformer error deviation of each substation relative to the target power plant based on the metering winding operation signal includes: Establish two-port network power models for each substation and the target power plant respectively; Based on the two-port network power model, the transformer error deviation of each substation relative to the target power plant is calculated by using the collected metering winding operation signals of the substation at different times.

3. The method for identifying metering anomalies in current transformers according to claim 1, characterized in that, The step of acquiring the pre-recorded offline errors of the instrument transformers at the target power plant, and determining suspected abnormal instrument transformers based on the offline errors of the instrument transformers and the error deviations of the instrument transformers at each substation relative to the target power plant, includes: The offline error of the instrument transformer is superimposed with the instrument transformer error deviation of each substation relative to the target power plant to obtain the gate instrument transformer error of each substation. The current transformers at substations whose current transformer errors exceed the first threshold are identified as suspected abnormal current transformers.

4. The method for identifying metering anomalies in current transformers according to claim 1, characterized in that, The step of determining all similar instrument transformers in the substation where the suspected abnormal instrument transformer is located, corresponding to the suspected abnormal instrument transformer, includes: The transformers in the substation where the suspected abnormal transformer is located that have the same attributes as the suspected abnormal transformer are identified as transformers of the same type as the suspected abnormal transformer; wherein, the same attributes include the same voltage level and the same phase sequence.

5. The method for identifying metering anomalies in current transformers according to claim 1, characterized in that, The step of determining the stability of the similar current transformers based on the relative error deviation between the suspected abnormal current transformer and each of the similar current transformers, and determining whether the suspected abnormal current transformer has a metering abnormality based on the stability of the similar current transformers, includes: Calculate the relative error deviation between the suspected abnormal current transformer and each of the same type of current transformer; Based on the relative deviation of each error, determine whether the relative deviation of the same type of current transformer is stable; If so, then it is determined that the suspected faulty current transformer has a metering abnormality; If not, then it is determined that the suspected abnormal current transformer has not experienced any metering abnormality.

6. The method for identifying metering anomalies in current transformers according to claim 1, characterized in that, The transformer types in both the substation and the target power plant include voltage transformers and current transformers.

7. The method for identifying metering anomalies in current transformers according to claim 1, characterized in that, The error deviation of the mutual inductor includes ratio difference deviation and phase difference deviation.

8. A device for identifying metering anomalies in current transformers, characterized in that, include: The signal acquisition module is used to acquire the metering winding operation signals of multiple instrument transformers at the gates of substations; The deviation calculation module is used to calculate the transformer error deviation of each substation relative to the target power plant based on the metering winding operation signal. The anomaly preliminary determination module is used to obtain the pre-recorded offline error of the instrument transformers of the target power plant, and to determine the suspected abnormal instrument transformers based on the offline error of the instrument transformers and the error deviation of the instrument transformers of each substation relative to the target power plant. The same type of instrument transformer determination module is used to determine all similar instrument transformers in the substation where the suspected abnormal instrument transformer is located that correspond to the suspected abnormal instrument transformer. An anomaly identification module is used to determine the stability of the current transformers of the same type based on the relative error deviation between the suspected abnormal current transformer and each of the current transformers of the same type, and to determine whether the suspected abnormal current transformer has a metering anomaly based on the stability of the current transformers of the same type.

9. A terminal device, comprising a processor and a memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the current transformer metering anomaly identification method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the current transformer metering anomaly identification method as described in any one of claims 1 to 7.

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