Collection method and collection device for secondary characteristic quantity of combined mutual inductor

Abstract

The invention discloses a method and a device for collecting secondary characteristic quantity of a combined mutual inductor, and relates to the technical field of mutual inductor detection, and the method comprises the steps: carrying out the preprocessing of the original secondary collection data of the combined mutual inductor, and obtaining the preprocessed data; the pretreatment comprises electromagnetic interference filtering, electrostatic interference filtering and power supply interference filtering; performing harmonic analysis on the preprocessed data to generate a harmonic analysis result; the harmonic analysis result comprises at least one higher harmonic; performing waveform processing on the preprocessed data based on the harmonic analysis result to obtain waveform-processed data; the waveform processing is to filter out all higher harmonics from the preprocessed data; and generating the secondary characteristic quantity of the combined transformer based on the waveform processed data. Accuracy of collection of secondary side data of the combined transformer is effectively improved, and technical support is provided for stable operation of a power system.

Description

Technical Field

[0001] The present application relates to the technical field of mutual inductor detection, and in particular to a method and device for collecting secondary characteristic quantities of a combined mutual inductor. Background Art

[0002] In order to transmit electric energy, the power system often uses AC voltage and high current loops to send electricity to users, which cannot be directly measured by instruments. The role of the mutual inductor is to reduce the AC voltage and high current proportionally to values ​​that can be directly measured by instruments, which is convenient for direct measurement by instruments, and at the same time provides power for relay protection and automatic devices. Therefore, the mutual inductor plays a very important role in the power system. The mutual inductor used in the power system is a special transformer that transmits the information of high voltage and high current of the power grid to the metering, measuring instruments, relay protection and automatic devices on the secondary side of low voltage and low current. It is a contact element between the primary system and the secondary system. Its primary winding is connected to the power grid, and the secondary winding is connected to the measuring instrument, protection device, etc. The mutual inductor cooperates with the measuring instrument and metering device to measure the voltage, current and electric energy of the primary system. The accuracy of the secondary side data of the mutual inductor is closely related to the calculation of the electric quantity.

[0003] In the prior art, the current data or voltage data of the secondary side output terminal of the transformer is directly measured by connecting the measuring instrument to the secondary side output terminal of the transformer, and the measured data of the measuring instrument is directly used as the secondary side data of the transformer. However, in the actual measurement process, there may be some electromagnetic coupling interference, electrostatic coupling interference or power supply interference and other factors, all of which will cause the secondary data of the transformer measured by the measuring instrument to be inaccurate. Summary of the invention

[0004] In order to solve the problem of inaccurate secondary data of transformers measured by measuring instruments due to factors such as electromagnetic coupling interference, electrostatic coupling interference and power supply interference, the present application proposes a method and device for collecting secondary characteristic quantities of combined transformers. The present application obtains more accurate secondary side data of the transformer by performing various types of interference filtering and harmonic analysis on the collected original secondary data of the combined transformer, thereby effectively improving the collection accuracy of the secondary side data of the combined transformer and providing technical support for the stable operation of the power system.

[0005] This application is implemented through the following technical solutions:

[0006] A method for collecting secondary characteristic quantities of a combined mutual inductor, comprising:

[0007] Preprocessing the original secondary collected data of the combined mutual inductor to obtain preprocessed data; the preprocessing includes electromagnetic interference filtering, electrostatic interference filtering and power supply interference filtering;

[0008] Performing harmonic analysis on the preprocessed data to generate harmonic analysis results; the harmonic analysis results include at least one high-order harmonic;

[0009] Based on the harmonic analysis result, the pre-processed data is subjected to waveform processing to obtain waveform-processed data; the waveform processing is to filter out all high-order harmonics from the pre-processed data;

[0010] A secondary characteristic quantity of the combined mutual inductor is generated based on the waveform processed data.

[0011] In some embodiments, the pretreatment process specifically includes:

[0012] Determine an electromagnetic interference waveform, and filter a waveform corresponding to the original secondary acquisition data based on the electromagnetic interference waveform to obtain first filtered data;

[0013] Performing electrostatic waveform filtering on the first filtered data to obtain second filtered data;

[0014] Based on the second filtered data, it is determined whether there is power supply interference. If yes, a power supply interference optimization operation is performed on the second filtered data to obtain preprocessed data. Otherwise, the second filtered data is directly used as preprocessed data.

[0015] In some implementations, the harmonic analysis process specifically includes:

[0016] Performing waveform feature analysis on the preprocessed data to obtain waveform features;

[0017] Obtaining a fundamental wave feature corresponding to the fundamental wave, and determining a harmonic feature based on the fundamental wave feature and the waveform feature;

[0018] Performing high-order harmonic decomposition on the harmonic feature to obtain at least one high-order harmonic feature;

[0019] Generate corresponding harmonic analysis results based on all high-order harmonic characteristics.

[0020] In some implementations, before preprocessing the original secondary acquisition data, the method further includes:

[0021] Acquiring a grounding state of the combined transformer;

[0022] When the grounding state of the combined mutual inductor is unreliable, performing grounding correction on the combined mutual inductor to obtain original secondary acquisition data of the combined mutual inductor after the grounding correction;

[0023] When the grounding state of the combined mutual inductor is reliable grounding, the original secondary acquisition data of the combined mutual inductor is directly obtained.

[0024] In some embodiments, the collection method further comprises:

[0025] Inputting the secondary characteristic quantity of the combined mutual inductor into a pre-trained fault identification model;

[0026] If the fault identification model identifies that the secondary characteristic quantity of the combined mutual inductor contains data characteristics when the combined mutual inductor fails, then a result of the combined mutual inductor failure is generated and fed back;

[0027] If the fault identification model does not identify that the secondary characteristic quantity of the combined mutual inductor contains data characteristics when the combined mutual inductor fails, a result indicating that the combined mutual inductor is normal is generated and fed back.

[0028] In some embodiments, the collection method further comprises:

[0029] When the combined mutual inductor is normal, obtaining the input power of the combined mutual inductor;

[0030] Obtaining line loss and power consumption of a power consumption area corresponding to the combined transformer;

[0031] Based on the input power, line loss and power consumption, it is determined whether there is abnormal power consumption in the power consumption area and a determination result is output.

[0032] On the other hand, the present application also proposes a device for collecting secondary characteristic quantities of a combined mutual inductor, comprising:

[0033] A preprocessing module, wherein the preprocessing module preprocesses the original secondary collected data of the combined mutual inductor to obtain preprocessed data; the preprocessing includes electromagnetic interference filtering, electrostatic interference filtering and power supply interference filtering;

[0034] A harmonic analysis module, wherein the harmonic analysis module performs harmonic analysis on the preprocessed data to generate a harmonic analysis result; the harmonic analysis result includes at least one high-order harmonic;

[0035] A waveform processing module, wherein the waveform processing module performs waveform processing on the pre-processed data based on the harmonic analysis result to obtain waveform-processed data; the waveform processing is to filter out all high-order harmonics from the pre-processed data;

[0036] And, a generating module, wherein the generating module generates a secondary characteristic quantity of the combined mutual inductor based on the waveform processed data.

[0037] In some embodiments, the preprocessing module further comprises:

[0038] A first filtering unit, the first filtering unit is used to determine an electromagnetic interference waveform, and filter the original secondary acquisition data based on the electromagnetic interference waveform to obtain first filtered data;

[0039] a second filtering unit, the second filtering unit being used to perform electrostatic waveform filtering on the first filtered data to obtain second filtered data;

[0040] And, an optimization unit, which determines whether there is power supply interference based on the second filtered data, and if so, performs a power supply interference optimization operation on the second filtered data to obtain preprocessed data, otherwise directly uses the second filtered data as preprocessed data.

[0041] In some implementations, the harmonic analysis module further includes:

[0042] A feature extraction unit, the feature extraction unit is used to perform feature analysis on the preprocessed data to obtain waveform features;

[0043] A harmonic determination unit, the harmonic determination unit is used to obtain a fundamental wave feature corresponding to the fundamental wave, and determine the harmonic feature based on the fundamental wave feature and the waveform feature;

[0044] And, a harmonic decomposition unit, wherein the harmonic decomposition unit is used to perform high-order harmonic decomposition on the harmonic feature to obtain at least one high-order harmonic feature, and generate corresponding harmonic analysis results based on all high-order harmonic features.

[0045] In some embodiments, the collection device further comprises:

[0046] A grounding correction module, wherein the grounding correction module obtains the grounding state of the combined mutual inductor before preprocessing the original secondary collected data; when the grounding state of the combined mutual inductor is unreliable grounding, the combined mutual inductor is grounded to obtain the original secondary collected data of the combined mutual inductor after the grounding correction; when the grounding state of the combined mutual inductor is reliable grounding, the original secondary collected data of the combined mutual inductor is directly obtained;

[0047] A fault identification module, wherein the fault identification module uses a pre-trained fault identification model to perform fault identification on the secondary characteristic quantity of the combined mutual inductor and outputs an identification result;

[0048] And, a power consumption abnormality judgment module, when the combined mutual inductor is identified as normal, the power consumption abnormality judgment module determines whether there is power consumption abnormality in the power consumption area through the combined mutual inductor.

[0049] The present application proposes a method and device for collecting secondary characteristic quantities of a combined mutual inductor. First, the original secondary data collected by the combined mutual inductor is pre-processed to filter out electromagnetic interference, electrostatic interference, power supply interference, etc., so as to provide a more accurate and reliable data basis for subsequent data; then the pre-processed data is waveform-processed using the harmonic analysis results to filter out the influence of high-order harmonics; finally, a more accurate secondary characteristic quantity corresponding to the original secondary data is generated from the waveform-processed data, thereby improving the collection accuracy of the secondary side data of the combined mutual inductor.

[0050] The present application proposes a method and device for collecting secondary characteristic quantities of a combined transformer, which monitor the grounding state of the combined transformer. If the grounding state of the combined transformer meets the requirements, the above-mentioned processing can be performed directly on the collected original secondary data to obtain accurate and reliable secondary characteristic quantities. If the grounding state of the combined transformer does not meet the requirements, the combined transformer is grounded and the original secondary data of the corrected combined transformer is collected and processed above to obtain accurate and reliable secondary characteristic quantities. That is, the present application ensures the reliability of the original data source, thereby ensuring that the more accurate secondary characteristic quantities obtained subsequently are more reliable.

[0051] The present application proposes a method and device for collecting secondary characteristic quantities of a combined transformer, which perform combined transformer fault identification and power consumption abnormality judgment based on more accurate and reliable secondary characteristic quantities, providing technical support for the safe operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The drawings described herein are used to provide a further understanding of the embodiments of the present application, constitute a part of the present application, and do not constitute a limitation on the embodiments of the present application. In the drawings:

[0053] Figure 1 A flow chart of the collection method provided in the embodiment of the present application;

[0054] Figure 2 A preprocessing flow chart provided for an embodiment of the present application;

[0055] Figure 3 A harmonic analysis flow chart provided for an embodiment of the present application;

[0056] Figure 4 This is a functional block diagram of the acquisition device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to make the objectives, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with examples and drawings. The illustrative implementation scheme of the present application and its description are only used to explain the present application and are not intended to limit the present application.

[0058] Example:

[0059] A combined transformer is a device used in three-phase power systems. It is composed of a three-phase voltage transformer and a current transformer. Its primary winding is connected to the three-phase power system, and its secondary winding is connected to measuring instruments, protection devices, etc. Its function is to convert the high voltage or large current of the three-phase power system into a low voltage (such as 100V) or a rated secondary current (such as 5A or 1A). In this way, the secondary side data of the combined transformer can be directly measured with a measuring instrument, and the three-phase power system can be protected.

[0060] The prior art usually directly connects the secondary side output terminal of the combined mutual inductor through a measuring instrument to measure the secondary side data of the combined mutual inductor, and uses the measured data of the measuring instrument as the data of the secondary side output of the combined mutual inductor. This measurement method does not take into account interference factors such as electromagnetic interference and power supply interference in the measurement line, and these interference factors will cause deviations between the measured data and the actual secondary side data, which will reduce the accuracy and reliability of the measurement. In view of this, this embodiment proposes a method for collecting secondary characteristic quantities of a combined mutual inductor.

[0061] like Figure 1 As shown, the collection method proposed in this embodiment specifically includes the following steps:

[0062] Step 100, preprocessing the original secondary collected data of the combined mutual inductor to obtain preprocessed data.

[0063] In specific applications, the primary side of the combined transformer can be connected to the power grid of the three-phase power system, and the secondary side of the combined transformer can be connected to an electric energy meter and a relay, etc. The electric energy meter is connected to the secondary output terminal of the combined transformer, and the electric energy meter measures the data at the secondary output terminal of the combined transformer. The measured data is used as the original secondary acquisition data of the combined transformer.

[0064] In the actual application process, when the electric energy meter is used to measure the data of the secondary output end of the combined mutual inductor, the measurement circuit will be affected by factors such as electromagnetic interference, electrostatic interference and power supply interference, which will lead to inaccurate data in the final measurement. Specifically, due to the interference of the electromagnetic field, the signal in the secondary circuit of the combined mutual inductor may be affected by other electromagnetic fields, such as the sinusoidal interference generated by the nearby high-power transmission and distribution lines and electrical equipment. This interference may enter the measurement circuit through electromagnetic coupling, so there will be electromagnetic coupling interference. At the same time, the electrostatic field generated by the high-voltage power line can also generate common-mode and series-mode interference voltages in the measurement circuit through the coupling capacitor between the measurement circuit and the measurement circuit and the earth, so there will be electrostatic coupling interference. In addition, 70% of the interference of the power meter system enters the system through power supply coupling, so there will be power supply interference. Based on this, after obtaining the original secondary acquisition data of the combined mutual inductor, this embodiment first needs to filter out the various interference data in the original secondary acquisition data to obtain secondary data that is not affected by various types of interference in the measurement circuit.

[0065] like Figure 2 As shown in FIG. 1 , the process of preprocessing the original secondary acquisition data specifically includes:

[0066] Step 101 , determining an electromagnetic interference waveform, filtering a waveform corresponding to original secondary acquisition data based on the electromagnetic interference waveform, and obtaining first filtered data.

[0067] In an optional implementation, an oscilloscope or waveform acquisition device is connected to the output end of the combined mutual inductor to directly obtain the secondary side waveform of the combined mutual inductor, and the waveform and the data measured by the above-mentioned electric energy meter are used as the original secondary acquisition data. For example, other measuring instruments can be configured according to actual needs to collect more comprehensive data. The waveform is a waveform that includes various types of interference waveforms (such as harmonics). Optionally, an electromagnetic interference tester can be connected to the secondary side output end of the combined mutual inductor, and the electromagnetic interference waveform can be directly detected by the electromagnetic interference tester; or, it can be confirmed which electrical components around the conventional combined mutual inductor will generate electromagnetic interference, and after screening out these electrical components that generate electromagnetic interference, the electromagnetic interference generated by these electrical components can be obtained by the electromagnetic interference tester, and then the electromagnetic interference obtained is processed comprehensively to obtain the electromagnetic interference waveform of the combined mutual inductor. It should be noted that the above two methods of obtaining electromagnetic interference waveforms are only exemplary descriptions, and do not limit the method of obtaining electromagnetic interference waveforms, that is, in other optional implementations, other methods can also be used to obtain the electromagnetic interference waveform of the combined mutual inductor. After the electromagnetic interference waveform is obtained, the electromagnetic interference waveform is filtered out from the original secondary data waveform, thereby obtaining a first filtered data waveform without the electromagnetic interference waveform.

[0068] Step 102, performing electrostatic waveform filtering on the first filtered data to obtain second filtered data.

[0069] Electrostatic interference is generated by the electrostatic field of high-voltage power lines. Therefore, under normal circumstances, the electrostatic interference waveform is consistent. Therefore, in this embodiment, an electrostatic interference measuring instrument with a waveform display can be directly connected near the high-voltage power line to detect the electrostatic interference waveform at the secondary output end of the combined mutual inductor. After obtaining the electrostatic interference waveform, the electrostatic interference waveform is filtered out from the first filtered data, thereby obtaining the second filtered data without the electromagnetic interference waveform and the electrostatic interference waveform.

[0070] Step 103, judging whether there is power supply interference based on the second filtered data, if yes, performing power supply interference optimization operation on the second filtered data to obtain preprocessed data, otherwise directly taking the second filtered data as preprocessed data.

[0071] After obtaining the second filtered data, it is necessary to first determine whether there is power supply interference. In the power meter system, the combined mutual inductor is connected to the transformer. In order to determine whether there is power supply interference, an electromagnetic interference measuring instrument needs to be connected to the output end of the transformer. If the transformer is a three-phase transformer, the three output ends of the transformer are connected to the electromagnetic interference measuring instrument. The electromagnetic interference measuring instrument is used to detect whether there is power supply interference at the output end of the transformer. However, in actual application, if the method of connecting the measuring instrument is adopted every time, it is more troublesome and the measurement efficiency is low. Since the interference characteristics and interference intensity of the power supply are often stable during use, the intelligent learning model can be pre-trained to learn the interference characteristics of the power supply. After the power supply interference recognition model is trained, the above-mentioned second filtered data is input into the power supply interference recognition model for power supply interference detection to improve the detection efficiency and detection accuracy of power supply interference.

[0072] In step 103, the second filtered data is detected using a pre-trained power supply interference recognition model. If the detection result is that there is no power supply interference, the second filtered data is directly used as the preprocessed data; if the detection result is that there is power supply interference, the power supply interference waveform can be directly obtained through an electromagnetic interference meter, and the power supply interference waveform can be filtered out from the second over-current data to obtain the preprocessed data.

[0073] This embodiment first filters out electromagnetic interference, electrostatic interference and power supply interference in the original secondary acquisition data through the above-mentioned preprocessing process, thereby eliminating and filtering out the main interference in the original secondary acquisition data, greatly improving the cleanliness of the processed secondary acquisition data and improving the accuracy of data acquisition.

[0074] Step 200, performing harmonic analysis on the preprocessed data to generate harmonic analysis results.

[0075] In actual application, the main reason for the generation of harmonics in the output data of the secondary side of the combined mutual inductor is the nonlinear load, in addition to various interferences from the power generation equipment and the power transmission and distribution equipment. Harmonics caused by the nonlinear load are still present in the waveform obtained only through the preprocessing process. Therefore, this embodiment further processes the preprocessed data to further improve the accuracy and reliability of the data.

[0076] like Figure 3 As shown in FIG. 1 , the process of harmonic analysis of preprocessed data specifically includes:

[0077] Step 201, perform feature analysis on the preprocessed data to obtain waveform features.

[0078] Step 202: Obtain fundamental wave characteristics corresponding to the fundamental wave, and determine harmonic characteristics based on the fundamental wave characteristics and waveform characteristics.

[0079] Step 203: perform high-order harmonic decomposition on the harmonic feature to obtain at least one high-order harmonic feature.

[0080] Step 204: Generate corresponding harmonic analysis results based on all high-order harmonic features.

[0081] In an optional implementation, feature extraction and analysis are performed on the preprocessed data to obtain waveform features of the preprocessed data, which waveform features include but are not limited to features such as peaks, troughs, amplitudes, and slopes. Then, the fundamental wave is obtained. For example, the relevant form of the fundamental wave can be determined through the output data of the transformer. Of course, an oscilloscope can also be connected to the output end of the transformer, and the oscilloscope can be used to detect the most original output data waveform at the output end of the transformer. The waveform is used as the fundamental wave, and then the waveform features corresponding to the fundamental wave are extracted to obtain the fundamental wave features. The waveform features are then compared with the fundamental wave features to determine the harmonic features, that is, the waveform features other than the fundamental wave features in the waveform features are determined as harmonic features. Therefore, the fundamental wave features in the waveform features can be decomposed, and the remaining waveform features are determined as harmonic features.

[0082] In actual situations, the harmonics of the secondary data of the combined mutual inductor are composed of the superposition of multiple high-order harmonics. For example, the waveform of the secondary data of the combined mutual inductor mainly includes the harmonics that affect the fundamental wave formed by the superposition of the 7th harmonic and the 5th harmonic. Therefore, after determining the harmonic characteristics, the characteristics corresponding to different high-order harmonics can be used to perform high-order harmonic decomposition on the harmonic characteristics, decompose the harmonic into at least one high-order harmonic characteristic, and finally generate the corresponding harmonic analysis results based on all high-order harmonic characteristics. For example, first obtain the waveform features corresponding to the 5th harmonic, the 7th harmonic, and other waveform features corresponding to multiple high-order harmonics, then pre-train a harmonic decomposition model, and then input the determined harmonic features into the harmonic decomposition model, so that the harmonic decomposition model can identify and decompose the harmonic features, and finally decompose them into 5th harmonic features and 7th harmonic features. Because the waveforms with very unclear features and a small proportion in the harmonic features have little impact on the fundamental wave, the impact of such waveforms can be ignored. Therefore, in the process of decomposing the harmonic features by the harmonic decomposition model, the waveforms with such unclear features in the harmonic features are directly filtered and will not be decomposed; finally, the final harmonic analysis results are generated according to the decomposed 5th harmonic features and 7th harmonic features.

[0083] This embodiment uses the above-mentioned harmonic analysis process to extract waveform features from the preprocessed data, and obtains harmonic features based on this, performs high-order harmonic decomposition on the harmonic features, and simultaneously filters out waveforms in the harmonic features whose influence on the fundamental wave is negligible during the decomposition process, thereby ultimately obtaining a variety of high-order harmonic features that have the most significant influence on the fundamental wave, and finally produces a harmonic analysis result, which further provides accurate data support for subsequent harmonic filtering processing and improves the accuracy of subsequent harmonic processing.

[0084] Step 300: Perform waveform processing on the pre-processed data based on the harmonic analysis result to obtain waveform-processed data.

[0085] Step 400: Generate secondary characteristic quantities of the combined mutual inductor based on the waveform processed data.

[0086] In an optional embodiment, the harmonic analysis results are the 5th harmonic and the 7th harmonic, and the pre-processed data is waveform processed according to the 5th harmonic and the 7th harmonic, so as to achieve accurate filtering processing for the 5th harmonic and the 7th harmonic, and then the corresponding waveform processed data is obtained from the processed waveform, that is, data features are extracted from the processed waveform and used as the secondary feature quantity of the secondary side output end of the combined transformer, that is, secondary data.

[0087] Based on this, the secondary characteristic quantity obtained in this embodiment filters out the harmonic data of various interferences generated by the power generation equipment and the power transmission and distribution equipment, and filters the interference harmonic data caused by nonlinear loads. It also filters out other interference waveforms that have a small impact on the waveform of the most original output data at the output end of the transformer in the process of collecting the secondary data of the combined transformer, thereby obtaining a relatively clean secondary data waveform that is closest to the waveform of the most original output data at the output end of the transformer. The data corresponding to this secondary data waveform is the secondary data of the secondary side output end of the combined transformer, thereby improving the collection accuracy of the data at the secondary side output end of the combined transformer, and in the subsequent data analysis process, a more accurate combined transformer data analysis effect can be achieved.

[0088] In practical applications, although the waveform processing is performed on the original collected secondary data, so that the collected secondary data has clean waveform characteristics, and thus accurate secondary characteristic quantities are obtained, when the combined transformer is not reliably grounded, the secondary data of the combined transformer itself will be inaccurate. Therefore, this embodiment also needs to exclude whether the combined transformer is reliably grounded. Based on this, the collection method proposed in this embodiment also includes:

[0089] In this embodiment, a voltmeter is used to measure the voltage at the grounding point of the combined transformer. If the voltage displayed by the voltmeter is not 0V, for example, it is 30V, indicating that the grounding state of the combined transformer is unreliable, then the obtained secondary characteristic quantity has a large deviation from the actual secondary characteristic quantity. At this time, it is possible to ensure that the secondary circuit has only one grounding point, perform insulation tests, and take appropriate grounding measures to correct the secondary side data error caused by the unreliable grounding of the combined transformer, thereby obtaining a new secondary characteristic quantity of the combined transformer and extracting the new secondary characteristic quantity; if the voltmeter displays a voltage of 0V, indicating that the grounding state of the combined transformer is reliably grounded, then the secondary characteristic quantity obtained by the above processing is accurate, and it is directly used as the data feature of the transformer secondary data.

[0090] Optionally, the collection method proposed in this embodiment may further include:

[0091] Step 500: Use the pre-trained fault recognition model to perform fault recognition on the secondary feature quantity and output the recognition result.

[0092] Specifically, a fault identification model can be pre-trained. This fault identification model is used to train when the insulation strength of the insulation material of the combined mutual inductor is reduced, the current ratio error, the incomplete short circuit of the winding, and the thermal stability problem occur. The characteristics of the secondary data output by the secondary side of the combined mutual inductor are obtained at this time, and these characteristics are combined to generate a fault identification model; then, the obtained data characteristics are input into the fault identification model to identify whether there are data characteristics when the combined mutual inductor fails in the data characteristics. If the fault identification model identifies that there are data characteristics when the combined mutual inductor fails in the data characteristics, the result of the combined mutual inductor failure is generated and fed back; if the data characteristics when the combined mutual inductor fails are not identified, the result of the normal combined mutual inductor is generated and fed back, and the secondary characteristic quantity of the combined mutual inductor is accurate and available. It should be noted that this embodiment combines the characteristics when the combined mutual inductor fails, matches the collected secondary characteristic quantity with the fault characteristics in the fault identification model, and if the corresponding fault characteristics are matched, it is considered that the combined mutual inductor has a fault.

[0093] In order to further ensure the accuracy and reliability of the acquired secondary characteristic quantities, this embodiment first confirms the grounding status of the combined transformer and processes it before processing the original secondary acquisition data, so as to ensure the reliability of the original secondary acquisition data and further ensure the accuracy of the secondary characteristic quantities obtained after processing; on this basis, intelligent identification and judgment of faults are performed, thereby effectively ensuring the safety of use and fault response speed of the combined transformer and meeting various needs.

[0094] In actual application, electricity theft has caused losses to power operations, disrupted the normal order of power supply and use, and may cause power grid safety accidents and even casualties. Existing methods for investigating and punishing electricity theft still rely on manual inspection and elimination, or the use of a large number of detection equipment, such as multimeters, clamp meters, phase meters, and on-site meter calibration devices. In actual application, these methods and equipment require a lot of manpower to conduct on-site inspections of large areas, so the labor cost is high and the work efficiency is low.

[0095] The secondary side data collected by the combined transformer configured in the power consumption area is an important data for the power company to collect the electric energy in the power consumption area. If the secondary side data collected by the combined transformer in a certain power consumption area is seriously inconsistent with the data at the output end of the transformer configured in the area, then the power consumption area may have an electricity theft accident. Based on this, the collection method proposed in this embodiment may further include:

[0096] Step 600: When the combined mutual inductor is identified as normal, determine whether there is abnormal power consumption in the power consumption area through the combined mutual inductor.

[0097] The power consumption area is equipped with a distribution box, and the distribution box is equipped with a combined mutual inductor. Each user end in the power consumption area is equipped with an electric meter, which is used to detect the power consumption of the corresponding user end. First, the electric meter configured at each user end measures the corresponding power consumption of the user end in real time, and then the power consumption of each user end is summarized and added to get the power consumption corresponding to the current power consumption area. When the combined mutual inductor is determined to be normal through the fault identification model, the input power of the combined mutual inductor is obtained. However, during the transmission process of electric energy, there will be power loss due to force majeure factors such as line loss and transformation ratio. Therefore, there is a difference between the power consumption of the power consumption area and the total input power. The power loss, therefore, under normal circumstances, the power consumption of the power consumption area The total input power, power consumption and electric energy loss follow the principle of energy conservation. Therefore, it is possible to determine whether there is electricity theft in the current power consumption area by judging whether there is energy conservation among the total input power, power consumption and electric energy loss, and generate the corresponding electricity theft judgment result. For example, the total input power of the transformer configured in a certain power consumption area is 900W, and the electric energy loss of this power consumption area is fixed at 10W. If the power consumption of this power consumption area is 850W through summary calculation, it is calculated that the actual deviation value between the total input power of 900W and the power consumption of 850W in this power consumption area is 50W, which is inconsistent with the electric energy loss of 10W. Therefore, it is determined that there is electricity theft in this power consumption area, and the result of the existence of electricity theft in this power consumption area is output.

[0098] Through the above implementation, when it is determined that the combined transformer is normal, by obtaining the actual power consumption of the power consumption area and extracting the known total input power of the transformer, it is determined whether energy conservation is achieved between the actual power consumption and the total input power to determine whether there is abnormal power consumption in the power consumption area. This can not only avoid the situation where abnormal power consumption caused by transformer failure is mistakenly believed to have occurred electricity theft, but also make it safer and more convenient for relevant staff to investigate electricity theft.

[0099] Based on the same technical concept as above, this embodiment also proposes a device for collecting secondary characteristic quantities of a combined mutual inductor, such as Figure 4 As shown, the collection device proposed in this embodiment includes:

[0100] A preprocessing module is used to preprocess the original secondary collected data of the combined mutual inductor to obtain preprocessed data.

[0101] The harmonic analysis module performs harmonic analysis on the preprocessed data to generate harmonic analysis results.

[0102] The waveform processing module performs waveform processing on the pre-processed data based on the harmonic analysis result to obtain waveform-processed data.

[0103] And, a generating module, which generates a secondary characteristic quantity of the combined mutual inductor based on the waveform processed data.

[0104] In an optional implementation manner, the preprocessing module further includes:

[0105] The first filtering unit is used to determine the electromagnetic interference waveform, and filter the original secondary acquisition data based on the electromagnetic interference waveform to obtain first filtered data.

[0106] The second filtering unit is used to perform electrostatic waveform filtering on the first filtered data to obtain second filtered data.

[0107] And, an optimization unit, which determines whether there is power supply interference based on the second filtered data, and if so, performs a power supply interference optimization operation on the second filtered data to obtain preprocessed data, otherwise directly uses the second filtered data as preprocessed data.

[0108] In an optional implementation manner, the harmonic analysis module further includes:

[0109] The feature extraction unit is used to perform feature analysis on the preprocessed data to obtain waveform features.

[0110] The harmonic determination unit is used to obtain a fundamental wave feature corresponding to the fundamental wave, and determine the harmonic feature based on the fundamental wave feature and the waveform feature.

[0111] And, a harmonic decomposition unit, which is used to perform high-order harmonic decomposition on the harmonic features to obtain at least one high-order harmonic feature, and generate corresponding harmonic analysis results based on all high-order harmonic features.

[0112] Furthermore, the collection device proposed in this embodiment also includes:

[0113] A grounding correction module uses a voltmeter to measure the voltage at the grounding point of the combined transformer. If the voltage meets the requirements, it means that the grounding state of the combined transformer is reliable, and the above-mentioned module unit can be used to process the original secondary acquisition data to obtain the secondary characteristic quantity; otherwise, it is necessary to correct the original secondary acquisition data of the combined transformer, and then use the above-mentioned module unit to process the corrected original secondary acquisition data to obtain the secondary characteristic quantity.

[0114] Furthermore, the collection device proposed in this embodiment also includes:

[0115] A fault identification module uses a pre-trained fault identification model to perform fault identification on the secondary feature quantity and outputs an identification result.

[0116] Furthermore, the collection device proposed in this embodiment also includes:

[0117] The power consumption abnormality judgment module determines whether there is power consumption abnormality in the power consumption area through the combined mutual inductor when the combined mutual inductor is identified as normal.

[0118] It should be noted that the specific implementation process of each module unit of the acquisition device proposed in this embodiment is as described in the above method, and will not be repeated here.

[0119] 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 in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0120] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0121] 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 comprising 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.

[0122] 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. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0123] The specific implementation methods described above further illustrate the purpose, technical solutions and beneficial effects of the present application in detail. It should be understood that the above description is only the specific implementation method of the present application and is not intended to limit the scope of protection of the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. A method for collecting secondary characteristic quantities of a combined mutual inductor, characterized in that: include: Preprocessing the original secondary collected data of the combined transformer to obtain preprocessed data; The pre-processing includes electromagnetic interference filtering, electrostatic interference filtering and power supply interference filtering; Performing harmonic analysis on the preprocessed data to generate harmonic analysis results; the harmonic analysis results include at least one high-order harmonic; Performing waveform processing on the pre-processed data based on the harmonic analysis result to obtain waveform-processed data; The waveform processing is to filter out all high-order harmonics from the pre-processed data; A secondary characteristic quantity of the combined mutual inductor is generated based on the waveform processed data.

2. The method for collecting secondary characteristic quantities of a combined mutual inductor according to claim 1, characterized in that: The pretreatment process specifically includes: Determine an electromagnetic interference waveform, and filter a waveform corresponding to the original secondary acquisition data based on the electromagnetic interference waveform to obtain first filtered data; Performing electrostatic waveform filtering on the first filtered data to obtain second filtered data; Based on the second filtered data, it is determined whether there is power supply interference. If yes, a power supply interference optimization operation is performed on the second filtered data to obtain preprocessed data. Otherwise, the second filtered data is directly used as preprocessed data.

3. The method for collecting secondary characteristic quantities of a combined mutual inductor according to claim 1, characterized in that: The harmonic analysis process specifically includes: Performing waveform feature analysis on the preprocessed data to obtain waveform features; Obtaining a fundamental wave feature corresponding to the fundamental wave, and determining a harmonic feature based on the fundamental wave feature and the waveform feature; Performing high-order harmonic decomposition on the harmonic feature to obtain at least one high-order harmonic feature; Generate corresponding harmonic analysis results based on all high-order harmonic characteristics.

4. A method for collecting secondary characteristic quantities of a combined mutual inductor according to any one of claims 1 to 3, characterized in that: Before preprocessing the original secondary acquisition data, the method further includes: Acquiring a grounding state of the combined transformer; When the grounding state of the combined mutual inductor is unreliable, performing grounding correction on the combined mutual inductor to obtain original secondary acquisition data of the combined mutual inductor after the grounding correction; When the grounding state of the combined mutual inductor is reliable grounding, the original secondary acquisition data of the combined mutual inductor is directly obtained.

5. The method for collecting secondary characteristic quantities of a combined mutual inductor according to claim 4, characterized in that: Also includes: Inputting the secondary characteristic quantity of the combined mutual inductor into a pre-trained fault identification model; If the fault identification model identifies that the secondary characteristic quantity of the combined mutual inductor contains data characteristics when the combined mutual inductor fails, then a result of the combined mutual inductor failure is generated and fed back; If the fault identification model does not identify that the secondary characteristic quantity of the combined mutual inductor contains data characteristics when the combined mutual inductor fails, a result indicating that the combined mutual inductor is normal is generated and fed back.

6. A method for collecting secondary characteristic quantities of a combined mutual inductor according to claim 5, characterized in that: Also includes: When the combined mutual inductor is normal, obtaining the input power of the combined mutual inductor; Obtaining line loss and power consumption of a power consumption area corresponding to the combined transformer; Based on the input power, line loss and power consumption, it is determined whether there is abnormal power consumption in the power consumption area and a determination result is output.

7. A device for collecting secondary characteristic quantities of a combined mutual inductor, characterized in that: include: A preprocessing module, wherein the preprocessing module preprocesses the original secondary collected data of the combined mutual inductor to obtain preprocessed data; The preprocessing includes electromagnetic interference filtering, electrostatic interference filtering and power supply interference filtering; A harmonic analysis module, wherein the harmonic analysis module performs harmonic analysis on the preprocessed data to generate a harmonic analysis result; the harmonic analysis result includes at least one high-order harmonic; A waveform processing module, which performs waveform processing on the pre-processed data based on the harmonic analysis result to obtain waveform-processed data; The waveform processing is to filter out all high-order harmonics from the pre-processed data; And, a generating module, wherein the generating module generates a secondary characteristic quantity of the combined mutual inductor based on the waveform processed data.

8. The device for collecting secondary characteristic quantities of a combined mutual inductor according to claim 7, characterized in that: The preprocessing module also includes: A first filtering unit, the first filtering unit is used to determine an electromagnetic interference waveform, and filter the original secondary acquisition data based on the electromagnetic interference waveform to obtain first filtered data; a second filtering unit, the second filtering unit being used to perform electrostatic waveform filtering on the first filtered data to obtain second filtered data; And, an optimization unit, which determines whether there is power supply interference based on the second filtered data, and if so, performs a power supply interference optimization operation on the second filtered data to obtain preprocessed data, otherwise directly uses the second filtered data as preprocessed data.

9. The device for collecting secondary characteristic quantities of a combined mutual inductor according to claim 7, characterized in that: The harmonic analysis module also includes: A feature extraction unit, the feature extraction unit is used to perform feature analysis on the preprocessed data to obtain waveform features; A harmonic determination unit, the harmonic determination unit is used to obtain a fundamental wave feature corresponding to the fundamental wave, and determine the harmonic feature based on the fundamental wave feature and the waveform feature; And, a harmonic decomposition unit, wherein the harmonic decomposition unit is used to perform high-order harmonic decomposition on the harmonic feature to obtain at least one high-order harmonic feature, and generate corresponding harmonic analysis results based on all high-order harmonic features.

10. A device for collecting secondary characteristic quantities of a combined mutual inductor according to any one of claims 7 to 9, characterized in that: Also includes: A grounding correction module, which obtains the grounding state of the combined mutual inductor before preprocessing the original secondary acquisition data; When the grounding state of the combined mutual inductor is unreliable, performing grounding correction on the combined mutual inductor to obtain original secondary acquisition data of the combined mutual inductor after the grounding correction; When the grounding state of the combined mutual inductor is reliable, directly obtaining the original secondary acquisition data of the combined mutual inductor; A fault identification module, wherein the fault identification module uses a pre-trained fault identification model to perform fault identification on the secondary characteristic quantity of the combined mutual inductor and outputs an identification result; And, a power consumption abnormality judgment module, when the combined mutual inductor is identified as normal, the power consumption abnormality judgment module determines whether there is power consumption abnormality in the power consumption area through the combined mutual inductor.

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