阅读说明：本技术 低压电流互感器计量性能评估方法、装置以及电子设备 (Low-voltage current transformer metering performance evaluation method and device and electronic equipment ) 是由 阎超 王浩 申洪涛 徐建云 李飞 周忠良 杨子夜 谷魁宪 于 2021-07-27 设计创作，主要内容包括：本发明提供一种低压电流互感器计量性能评估方法、装置以及电子设备。该方法包括：获取低压电流互感器的二次回路参量信息以及低压电流互感器的初始检定数据；利用预设边缘计算算法对二次回路参量信息进行测算,得到低压电流互感器的计量误差数据；利用插值法拟合初始检定数据与计量误差数据,得到低压电流互感器的计量误差变化曲线；提取计量误差变化曲线中的计量误差变化数据,并利用预设性能评估算法对计量误差变化数据进行评估,得到低压电流互感器计量性能的评估结果。本发明能够提升低压电流互感器计量性能评估结果的准确性。(The invention provides a method and a device for evaluating metering performance of a low-voltage current transformer and electronic equipment. The method comprises the following steps: acquiring secondary loop parameter information of the low-voltage current transformer and initial verification data of the low-voltage current transformer; measuring and calculating the secondary loop parameter information by using a preset edge calculation algorithm to obtain the metering error data of the low-voltage current transformer; fitting the initial verification data and the metering error data by using an interpolation method to obtain a metering error change curve of the low-voltage current transformer; and extracting the metering error change data in the metering error change curve, and evaluating the metering error change data by using a preset performance evaluation algorithm to obtain an evaluation result of the metering performance of the low-voltage current transformer. The method can improve the accuracy of the evaluation result of the metering performance of the low-voltage current transformer.)

1. A low-voltage current transformer metering performance evaluation method is characterized by comprising the following steps:

acquiring secondary loop parameter information of the low-voltage current transformer and initial verification data of the low-voltage current transformer;

measuring and calculating the secondary loop parameter information by using a preset edge calculation algorithm to obtain the metering error data of the low-voltage current transformer;

fitting the initial verification data and the metering error data by using an interpolation method to obtain a metering error change curve of the low-voltage current transformer;

and extracting the metering error change data in the metering error change curve, and evaluating the metering error change data by using a preset performance evaluation algorithm to obtain an evaluation result of the metering performance of the low-voltage current transformer.

2. The method of claim 1, wherein said obtaining secondary loop parameter information for the low-voltage current transformer comprises:

and coupling and injecting a plurality of groups of high-frequency signals into a secondary circuit of the low-voltage current transformer by using the high-frequency coil, and measuring corresponding parameter information when the plurality of groups of high-frequency signals return to obtain the secondary circuit parameter information of the low-voltage current transformer.

3. The method as claimed in claim 1, wherein the calculating the secondary loop parameter information by using a predetermined edge calculation algorithm to obtain the metering error data of the low-voltage current transformer comprises:

measuring and calculating secondary loop parameter information of the low-voltage current transformer by using a preset edge calculation algorithm to obtain a specific difference value and an angular difference value of the low-voltage current transformer under different frequencies;

and substituting the ratio difference value and the angle difference value into a preset metering error formula to obtain metering error data of the low-voltage current transformer.

4. The method according to claim 1, wherein the evaluation result of the metering performance of the low-voltage current transformer comprises a performance index evaluation result;

the method for evaluating the metering error change data by using the preset performance evaluation algorithm to obtain the evaluation result of the metering performance of the low-voltage current transformer comprises the following steps:

constructing a metering performance evaluation model of the low-voltage current transformer based on the metering error change data and by combining with the original data of the low-voltage current transformer;

acquiring operation error and full-range error data of the low-voltage current transformer in a metering performance evaluation model of the low-voltage current transformer;

and analyzing the operation error and the full-range error data to obtain a performance index evaluation result of the low-voltage current transformer.

5. The method according to claim 4, wherein the evaluation result of the metering performance of the low-voltage current transformer further comprises an evaluation result of an operation state of the low-voltage current transformer;

the method for evaluating the metering error change data by using the preset performance evaluation algorithm to obtain the evaluation result of the metering performance of the low-voltage current transformer comprises the following steps:

judging the fault category of a secondary circuit by a secondary circuit abnormal fault judging method of the low-voltage current transformer based on a performance index evaluation result of the low-voltage current transformer and a metering error change curve of the low-voltage current transformer;

obtaining a fault category database of the secondary circuit by judging the fault category of the secondary circuit for multiple times and summarizing the fault category conditions of the secondary circuit after the multiple times of judgment;

and analyzing the fault category database of the secondary circuit by utilizing a big data analysis technology to obtain an operation state evaluation result of the low-voltage current transformer.

6. The method according to claim 5, wherein the evaluation result of the metering performance of the low-voltage current transformer further comprises a fault alarm result of the low-voltage current transformer;

the method for evaluating the metering error change data by using the preset performance evaluation algorithm to obtain the evaluation result of the metering performance of the low-voltage current transformer comprises the following steps:

integrating a performance index evaluation result of the low-voltage current transformer and an operation state evaluation result of the low-voltage current transformer into a fault category database of the secondary circuit;

analyzing the potential operation fault of the low-voltage current transformer by using a trend analysis method and combining a big data analysis technology to obtain the future health state information of the low-voltage current transformer;

and carrying out fault alarm on the low-voltage current transformer according to the future health state information of the low-voltage current transformer to obtain a fault alarm result of the low-voltage current transformer.

7. A low-voltage current transformer metering performance evaluation device is characterized by comprising:

the acquisition module is used for acquiring secondary circuit parameter information of the low-voltage current transformer and initial verification data of the low-voltage current transformer;

the measuring and calculating module is used for measuring and calculating the secondary circuit parameter information by using a preset edge calculation algorithm to obtain the metering error data of the low-voltage current transformer;

the fitting module is used for fitting the initial verification data and the metering error data by using an interpolation method to obtain a metering error change curve of the low-voltage current transformer;

and the evaluation module is used for extracting the metering error change data in the metering error change curve and evaluating the metering error change data by using a preset performance evaluation algorithm to obtain an evaluation result of the metering performance of the low-voltage current transformer.

8. The apparatus of claim 7, wherein the obtaining module is further configured to:

and coupling and injecting a plurality of groups of high-frequency signals into a secondary circuit of the low-voltage current transformer by using the high-frequency coil, and measuring corresponding parameter information when the plurality of groups of high-frequency signals return to obtain the secondary circuit parameter information of the low-voltage current transformer.

9. The apparatus of claim 7, wherein the meter module is further configured to:

measuring and calculating secondary loop parameter information of the low-voltage current transformer by using a preset edge calculation algorithm to obtain a specific difference value and an angular difference value of the low-voltage current transformer under different frequencies;

and substituting the ratio difference value and the angle difference value into a preset metering error formula to obtain metering error data of the low-voltage current transformer.

10. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the steps of the method according to any of the preceding claims 1 to 6 are implemented when the computer program is executed by the processor.

Technical Field

The invention relates to the technical field of metering detection, in particular to a method and a device for evaluating metering performance of a low-voltage current transformer and electronic equipment.

Background

The low-voltage current transformer is a device capable of converting high alternating current into low current which is easy to control, has the advantages of excellent performance and stable precision, and is widely applied to the field of power supply. In order to ensure the normal operation of the low-voltage current transformer, the low-voltage current transformer needs to be detected, and the detection of the low-voltage current transformer for a long time is carried out in a fixed-period verification mode, but the detection mode needs to be stopped for detection, so that great economic loss can be caused, and the accuracy of the detection and evaluation result is low, so that an economic and efficient low-voltage current transformer metering performance evaluation method with high accuracy of the evaluation result is urgently needed.

Disclosure of Invention

The embodiment of the invention provides a method and a device for evaluating the metering performance of a low-voltage current transformer and electronic equipment, and aims to solve the problem of low accuracy of the conventional method for evaluating the metering performance of the low-voltage current transformer.

In a first aspect, an embodiment of the present invention provides a method for evaluating metering performance of a low-voltage current transformer, including:

acquiring secondary loop parameter information of the low-voltage current transformer and initial verification data of the low-voltage current transformer;

measuring and calculating the secondary loop parameter information by using a preset edge calculation algorithm to obtain the metering error data of the low-voltage current transformer;

fitting the initial verification data and the metering error data by using an interpolation method to obtain a metering error change curve of the low-voltage current transformer;

and extracting the metering error change data in the metering error change curve, and evaluating the metering error change data by using a preset performance evaluation algorithm to obtain an evaluation result of the metering performance of the low-voltage current transformer.

In one possible implementation manner, the acquiring secondary loop parameter information of the low-voltage current transformer includes:

and coupling and injecting a plurality of groups of high-frequency signals into a secondary loop of the low-voltage current transformer by using the high-frequency coil, and measuring corresponding parameter information when the plurality of groups of high-frequency signals return to obtain the secondary loop parameter information of the low-voltage current transformer.

In a possible implementation manner, the method for measuring and calculating the secondary loop parameter information of the low-voltage current transformer by using a preset edge calculation algorithm to obtain the metering error data of the low-voltage current transformer includes:

measuring and calculating secondary loop parameter information of the low-voltage current transformer by using a preset edge calculation algorithm to obtain a specific difference value and an angular difference value of the low-voltage current transformer under different frequencies;

and substituting the ratio difference value and the angle difference value into a preset metering error formula to obtain metering error data of the low-voltage current transformer.

In one possible implementation manner, the evaluation result of the metering performance of the low-voltage current transformer comprises a performance index evaluation result;

evaluating the metering error change data by using a preset performance evaluation algorithm to obtain an evaluation result of the metering performance of the low-voltage current transformer, wherein the evaluation result comprises the following steps:

constructing a metering performance evaluation model of the low-voltage current transformer based on the metering error change data and by combining the original data of the low-voltage current transformer;

acquiring operation error and full-range error data of the low-voltage current transformer in a metering performance evaluation model of the low-voltage current transformer;

and analyzing the operation error and the full-range error data of the low-voltage current transformer to obtain a performance index evaluation result of the low-voltage current transformer.

In a possible implementation manner, the evaluation result of the metering performance of the low-voltage current transformer further comprises an evaluation result of the running state of the low-voltage current transformer;

evaluating the metering error change data by using a preset performance evaluation algorithm to obtain an evaluation result of the metering performance of the low-voltage current transformer, wherein the evaluation result comprises the following steps:

judging the fault category of a secondary circuit by a secondary circuit abnormal fault judging method of the low-voltage current transformer based on a performance index evaluation result of the low-voltage current transformer and a metering error change curve of the low-voltage current transformer;

the fault category database of the secondary circuit is obtained by judging the fault category of the secondary circuit for multiple times and summarizing the fault category conditions of the secondary circuit after the multiple times of judgment;

and analyzing the fault category database of the secondary circuit by utilizing a big data analysis technology to obtain an operation state evaluation result of the low-voltage current transformer.

In a possible implementation manner, the evaluation result of the metering performance of the low-voltage current transformer further comprises a fault warning result of the low-voltage current transformer;

evaluating the metering error change data by using a preset performance evaluation algorithm to obtain an evaluation result of the metering performance of the low-voltage current transformer, wherein the evaluation result comprises the following steps:

integrating the performance index evaluation result of the low-voltage current transformer and the operation state evaluation result of the low-voltage current transformer into a fault category database of a secondary circuit;

analyzing the potential operation fault of the low-voltage current transformer by using a trend analysis method and combining a big data analysis technology to obtain the future health state information of the low-voltage current transformer;

and carrying out fault alarm on the low-voltage current transformer through the future health state information of the low-voltage current transformer to obtain a fault alarm result of the low-voltage current transformer.

In a second aspect, an embodiment of the present invention provides an apparatus for evaluating metering performance of a low-voltage current transformer, including:

the acquisition module is used for acquiring secondary circuit parameter information of the low-voltage current transformer and initial verification data of the low-voltage current transformer;

the measuring and calculating module is used for measuring and calculating the secondary loop parameter information by using a preset edge calculation algorithm to obtain the metering error data of the low-voltage current transformer;

the fitting module is used for fitting the initial verification data and the metering error data by using an interpolation method to obtain a metering error change curve of the low-voltage current transformer;

and the evaluation module is used for extracting the metering error change data in the metering error change curve and evaluating the metering error change data by utilizing a preset performance evaluation algorithm to obtain an evaluation result of the metering performance of the low-voltage current transformer.

In one possible implementation manner, the obtaining module is further configured to:

and coupling and injecting a plurality of groups of high-frequency signals into a secondary loop of the low-voltage current transformer by using the high-frequency coil, and measuring corresponding parameter information when the plurality of groups of high-frequency signals return to obtain the secondary loop parameter information of the low-voltage current transformer.

In one possible implementation, the calculation module is further configured to:

measuring and calculating secondary loop parameter information of the low-voltage current transformer by using a preset edge calculation algorithm to obtain a specific difference value and an angular difference value of the low-voltage current transformer under different frequencies;

and substituting the ratio difference value and the angle difference value into a preset metering error formula to obtain metering error data of the low-voltage current transformer.

In one possible implementation manner, the evaluation result of the metering performance of the low-voltage current transformer comprises a performance index evaluation result;

the evaluation module is further to:

constructing a metering performance evaluation model of the low-voltage current transformer based on the metering error change data and by combining the original data of the low-voltage current transformer;

acquiring operation error and full-range error data of the low-voltage current transformer in a metering performance evaluation model of the low-voltage current transformer;

and analyzing the operation error and the full-range error data of the low-voltage current transformer to obtain a performance index evaluation result of the low-voltage current transformer.

In a possible implementation manner, the evaluation result of the metering performance of the low-voltage current transformer further comprises an evaluation result of the running state of the low-voltage current transformer;

the evaluation module is further to:

judging the fault category of a secondary circuit by a secondary circuit abnormal fault judging method of the low-voltage current transformer based on a performance index evaluation result of the low-voltage current transformer and a metering error change curve of the low-voltage current transformer;

the fault category database of the secondary circuit is obtained by judging the fault category of the secondary circuit for multiple times and summarizing the fault category conditions of the secondary circuit after the multiple times of judgment;

and analyzing the fault category database of the secondary circuit by utilizing a big data analysis technology to obtain an operation state evaluation result of the low-voltage current transformer.

In a possible implementation manner, the evaluation result of the metering performance of the low-voltage current transformer further comprises a fault warning result of the low-voltage current transformer;

the evaluation module is further to:

integrating the performance index evaluation result of the low-voltage current transformer and the operation state evaluation result of the low-voltage current transformer into a fault category database of a secondary circuit;

analyzing the potential operation fault of the low-voltage current transformer by using a trend analysis method and combining a big data analysis technology to obtain the future health state information of the low-voltage current transformer;

and carrying out fault alarm on the low-voltage current transformer through the future health state information of the low-voltage current transformer to obtain a fault alarm result of the low-voltage current transformer.

In a third aspect, the present invention also provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect when executing the computer program.

The embodiment of the invention provides a method and a device for evaluating the metering performance of a low-voltage current transformer and electronic equipment, wherein the low-voltage current transformer is monitored on line and evaluated from multiple dimensions, and data are integrated into a unified fault category database of a secondary circuit, so that the evaluation result is more reasonable, the technical level of the detection field can be improved, the detection cost is saved, the problem caused by power failure is avoided, the associated problems of economic loss and the like caused by untimely replacement of the fault current transformer and error replacement of the qualified running current transformer are avoided, the future state and the service life of the current transformer can be predicted through the fault alarm result, and early warning is given in time so as to meet the premise of reliable running.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a flowchart of an implementation of a method for evaluating metering performance of a low-voltage current transformer according to an embodiment of the present invention;

fig. 2 is a schematic diagram of a metering performance evaluation device of a low-voltage current transformer according to an embodiment of the invention;

FIG. 3 is a schematic diagram of a modular detection module according to an embodiment of the present invention;

fig. 4 is a logic framework diagram of implementation of the low-voltage current transformer metering performance evaluation apparatus and system according to the embodiment of the present invention;

fig. 5 is a schematic diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description is made by way of specific embodiments with reference to the accompanying drawings.

As described in the background art, the existing evaluation for the metering performance of the low-voltage current transformer generally adopts an off-line detection mode such as "periodic verification", and the disadvantages of this mode are analyzed as follows: according to the requirements of the national metrological verification regulation JJJG 1021 'verification regulation of power transformers', the verification period of the electromagnetic current transformer does not exceed 10 years, the transformers which run for 10 years in actual conditions basically do not undergo weekly inspection rotation, and only the current transformers with capacity increase, damage and large fault are replaced. The reason for this phenomenon is that the periodic dismantling of the current transformer back to the laboratory for verification is difficult, for example, the current transformer needs to be powered off when being dismantled for detection, but the power failure may bring great economic loss to users; another reason is the problem of asset management, and there is no unified management method for the disassembled low-voltage current transformer.

In order to solve the problem of the prior art, the embodiment of the invention provides a method and a device for evaluating the metering performance of a low-voltage current transformer and electronic equipment. The method for evaluating the metering performance of the low-voltage current transformer provided by the embodiment of the invention is firstly introduced below.

First, an execution main body of the evaluation method for the metering performance of the low-voltage current transformer provided in the embodiment of the present invention may be an online monitoring device, the online monitoring device may be a computer device with data processing and control functions, the computer device may be a terminal or a server, the terminal is specifically but not limited to a personal computer, a notebook computer, a smart phone, and a portable wearable device, and the server may be an independent server or a server cluster composed of a plurality of servers, which is not limited in particular.

Secondly, the technical concept of the low-voltage current transformer metering performance evaluation method provided by the embodiment of the invention is introduced:

the method comprises the steps of measuring secondary loop parameter information of the low-voltage current transformer, namely values of excitation impedance and secondary impedance of a secondary loop, calculating metering error data of the low-voltage current transformer through the excitation impedance and the secondary impedance, fitting by using the metering error data and combining with historical first-time verification data of the current transformer through an interpolation calculation method to obtain a metering error change curve of the low-voltage current transformer, and finally evaluating the low-voltage current transformer to be detected in multiple aspects by using error change data in the metering error change curve and an evaluation algorithm.

Referring to fig. 1, it shows an implementation flowchart of a low-voltage current transformer metering performance evaluation method provided by an embodiment of the present invention, including the following steps:

and S101, acquiring secondary circuit parameter information of the low-voltage current transformer and initial verification data of the low-voltage current transformer.

In a possible implementation manner, the method for acquiring the secondary circuit parameter information of the low-voltage current transformer comprises the following steps:

based on the injection return principle of the high-frequency signal, wherein the coverage range of the high-frequency signal is between 0 and 500kHz, and the corresponding parameter information is measured when the high-frequency signal returns.

The injection and return of the high-frequency signal means that the high-frequency signal with the preset frequency is injected into a secondary loop of the low-voltage current transformer in a coupling mode through a high-frequency coil, and parameter information when the signal returns is measured after the high-frequency signal passes through the secondary loop and returns.

In the process of measuring the parameter information, the traditional method is to directly measure through an instrument, and because the measuring instrument has errors, the parameter information measured by a high-frequency signal injection return principle is more accurate than the result measured by directly using the instrument, and further, the parameter information is directly related to parameters required by the metering performance of the current transformer, so the method can reduce the errors in measuring the parameter information, and further reduce the influence on the evaluation result of the metering performance of the low-voltage current transformer, wherein the parameter information mainly refers to the excitation impedance and the secondary impedance of a secondary circuit.

Furthermore, the initial verification data of the low-voltage current transformer includes verification data of the current transformer before installation, error history data of periodic verification, and ledger information of the current transformer. The machine account information of the current transformer mainly comprises basic information such as a manufacturer, a model, a transformation ratio, a rated load, an installation environment and the like.

And S102, measuring and calculating the secondary loop parameter information by using a preset edge calculation algorithm to obtain the metering error data of the low-voltage current transformer.

In a possible implementation manner, taking the preset injection of five high-frequency signals with different frequencies as an example, the secondary loop parameter information measured in S101, that is, the excitation impedance Z, is extracted_mAnd a secondary impedance Z₂Then, based on the multidimensional impedance matrix model of the secondary loop characteristic quantity:

according to the matrix equation system and the combination formula:

Z₂′＝R₂′+jωL₂′

solving for R at different frequencies₂＇、L₂＇、R_m、L_mAnd C_mThe value of (A) is, R₂' is the resistance value in the secondary circuit, L₂' is a reactance value in the secondary loop, ω points to the frequency of the high-frequency signal injected in the secondary loop, R_mRefers to an equivalent excitation resistance, L_mRefers to equivalent excitation reactance, C_mRefers to the equivalent excitation capacitance;

then, according to the error calculation formula:

and obtaining the metering error data epsilon of the low-voltage current transformer, wherein the real part is the specific difference value of the low-voltage current transformer, and the imaginary part is the angular difference value of the low-voltage current transformer. Since the related algorithm is the prior art, it is not described herein.

Calculating the specific difference value and the angular difference value obtained by measuring and calculating under the current by using an interpolation calculation formula, wherein the formula is as follows:

wherein f is the difference value of any point ratio of the current transformer; delta is the phase difference of any point of the current transformer; i is₁Selecting adjacent current values with error data from a database; i is₂Selecting adjacent current values with error data from a database; f. of₁For current transformers operating at current I₁Specific difference of timeA value; f. of₂For current transformers operating at current I₂The difference in time ratios; delta₁For current transformers operating at current I₁A phase difference of time; delta₂For current transformers operating at current I₂A phase difference of time; i is the measured current.

Through a series of processing in S102, the metering error data of the low-voltage current transformer at any current value, that is, the specific difference of the low-voltage current transformer at any point and the angular difference of the low-voltage current transformer at any point, can be obtained.

And S103, fitting the initial verification data and the metering error data by using an interpolation method to obtain a metering error change curve of the low-voltage current transformer.

In a possible implementation manner, a metering error change curve with the ratio difference value as a vertical axis, the operating current value as a horizontal axis, the angle difference value as a vertical axis and the operating current value as a horizontal axis is fitted by combining the metering error data obtained by the interpolation method in S102 and the initial verification data of the low-voltage current transformer measured in S101, and the error change curve reflects the characteristic that the error changes along with the operating current value.

And S104, extracting the metering error change data in the metering error change curve, and evaluating the metering error change data by using a preset performance evaluation algorithm to obtain an evaluation result of the metering performance of the low-voltage current transformer.

In a possible implementation manner, the preset performance evaluation algorithm comprises an online monitoring data screening algorithm, a secondary circuit abnormal fault discrimination algorithm, an error curve out-of-tolerance risk prediction discrimination algorithm and a big data analysis similar category fault prediction discrimination algorithm, and for more clearly expressing the algorithm content, the following main functions of the algorithm are expressed by characters, wherein:

and (3) an online monitoring data screening algorithm: calculating the algebraic mean value of five groups of continuous detection data, and eliminating two groups of maximum data;

and (3) a secondary loop abnormal fault discrimination algorithm: various loop faults including open circuit, short circuit and electricity stealing of users of the secondary loop are judged through secondary load monitoring of the current transformer;

and (3) an error curve out-of-tolerance risk estimation discrimination algorithm: early warning and judging the out-of-tolerance risk of the low-voltage current transformer by utilizing the change trend of the metering error change curve of the low-voltage current transformer in the long-term monitoring S103;

big data analysis similar category fault pre-judging algorithm: and screening similar current transformer monitoring data by using historical out-of-tolerance and fault judgment event information, and providing fault pre-judgment.

Obtaining an evaluation result of the metering performance of the low-voltage current transformer by combining the algorithm, and judging the evaluation result from three dimensions of performance indexes, operation states and fault alarms;

firstly, performance index evaluation is carried out: and constructing a metering performance evaluation model of the current transformer based on metering error change data, factory test data, handover test data, first inspection test data, week inspection test data and actual operation secondary circuit load monitoring of the low-voltage current transformer, thereby comprehensively evaluating the performance indexes of the current transformer and obtaining a performance index evaluation result.

And thirdly, performing running state evaluation: and on the basis of the performance index evaluation result, combining an error curve out-of-tolerance risk estimation judgment result calculated by an error curve out-of-tolerance risk estimation judgment algorithm, judging the fault type of the secondary circuit through a secondary circuit abnormal fault judgment method of the low-voltage current transformer, summarizing the fault type conditions after judging the secondary circuit for multiple times, thereby forming a fault type database of the secondary circuit, analyzing the fault pre-judgment result of the similar type by using big data, and obtaining an operation state evaluation result of the current transformer, wherein the state comprises excellent, good, poor and the like. And comprehensively displaying the state result of the low-voltage current transformer which is periodically output, wherein the display range comprises voltage grade, transformation ratio, rated load, transformer type installation environment and the like.

And finally, carrying out fault warning: and integrating the performance evaluation result, the operation state evaluation result and other characteristic data of various faults or abnormalities into a secondary circuit fault category database, performing trend analysis on the current transformer by using a big data analysis technology, and performing future health degree analysis according to the trend so as to perform targeted early warning on the faults or abnormalities.

The embodiment of the invention can monitor the state of the low-voltage current transformer by monitoring the low-voltage current transformer on line, improves the technical level of the detection field, avoids unnecessary economic loss caused by the need of halt detection in the conventional method because the halt is not needed in the on-line monitoring process, and can avoid the associated problems caused by untimely replacement of a fault current transformer and mistaken replacement of a qualified current transformer in operation. The evaluation result obtained by the invention is evaluated from multiple dimensions, and the data is integrated into the unified fault category database of the secondary circuit, so that the evaluation result is more reasonable, and the future state and service life of the current transformer can be predicted through the data fault alarm result, so that early warning is given in time to meet the reliability of the operation process.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

The following are embodiments of the apparatus of the invention, reference being made to the corresponding method embodiments described above for details which are not described in detail therein.

Fig. 2 is a schematic structural diagram of an evaluation apparatus 200 for metering performance of a low-voltage current transformer according to an embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown, and detailed descriptions are as follows:

as shown in fig. 2, the evaluation apparatus 200 for the metering performance of the low-voltage current transformer includes:

the obtaining module 210 is configured to obtain secondary loop parameter information of the low-voltage current transformer and initial verification data of the low-voltage current transformer;

the measuring and calculating module 220 is configured to measure and calculate the secondary circuit parameter information by using a preset edge calculation algorithm to obtain measurement error data of the low-voltage current transformer;

the fitting module 230 is configured to fit the initial verification data and the metering error data by using an interpolation method to obtain a metering error change curve of the low-voltage current transformer;

and the evaluation module 240 is configured to extract the metering error change data in the metering error change curve, and evaluate the metering error change data by using a preset performance evaluation algorithm to obtain an evaluation result of the metering performance of the low-voltage current transformer.

In a possible implementation manner, the obtaining module 210 is further configured to:

and coupling and injecting a plurality of groups of high-frequency signals into a secondary loop of the low-voltage current transformer by using the high-frequency coil, and measuring corresponding parameter information when the plurality of groups of high-frequency signals return to obtain the secondary loop parameter information of the low-voltage current transformer.

In one possible implementation, the calculation module 220 is further configured to:

measuring and calculating secondary loop parameter information of the low-voltage current transformer by using a preset edge calculation algorithm to obtain a specific difference value and an angular difference value of the low-voltage current transformer under different frequencies;

and substituting the ratio difference value and the angle difference value into a preset metering error formula to obtain metering error data of the low-voltage current transformer.

In one possible implementation, the evaluation module 240 is further configured to:

judging the fault category of a secondary circuit by a secondary circuit abnormal fault judging method of the low-voltage current transformer based on a performance index evaluation result of the low-voltage current transformer and a metering error change curve of the low-voltage current transformer;

the fault category database of the secondary circuit is obtained by judging the fault category of the secondary circuit for multiple times and summarizing the fault category conditions of the secondary circuit after the multiple times of judgment;

and analyzing the fault category database of the secondary circuit by utilizing a big data analysis technology to obtain an operation state evaluation result of the low-voltage current transformer.

In one possible implementation, the evaluation module 240 is further configured to:

integrating the performance index evaluation result of the low-voltage current transformer and the operation state evaluation result of the low-voltage current transformer into a fault category database of a secondary circuit;

analyzing the potential operation fault of the low-voltage current transformer by using a trend analysis method and combining a big data analysis technology to obtain the future health state information of the low-voltage current transformer;

and carrying out fault alarm on the low-voltage current transformer through the future health state information of the low-voltage current transformer to obtain a fault alarm result of the low-voltage current transformer.

Fig. 3 shows a schematic diagram of a wiring state of the modular detection module 3, the modular detection module 3 integrates the acquisition module 210 and the measurement and calculation module 220, and is compatible with a function of online measurement of the actual secondary load of the current transformer by the secondary circuit polling instrument, and the data processing, calculation and storage thereof can adopt an edge calculation method, and finally report a calculation result and accept the device call control.

Primary current I₁The secondary current I is formed by the primary side entering the secondary side₂The metering CT (low-voltage current transformer) is located on the metering secondary circuit I₂The metering error data is obtained by the modular detection module 3 through the metering secondary circuit and measured, the metering error data is fitted into a metering error change curve through the fitting module, and finally an evaluation result is formed through the evaluation module.

Specifically, the modular detection module 3 has a small-sized pluggable housing structure for adapting to the functional components of the installation conditions of the energy controller, and has a function of testing the impedance characteristic quantity of the secondary circuit by using a high-frequency signal injection and return method, it should be noted that the energy controller is a device for redefining the terminal form through the cooperation of different types of functional modules, and the modular detection module 3 can interact with the energy controller.

The energy controller adopts an MDS device platform software remote control mode, the MDS device platform software sends a monitoring instruction and a secondary loop load test instruction to the energy controller through a power utilization information acquisition device, and the energy controller controls an online monitoring module to complete primary online measurement, edge calculation and result data remote transmission.

The MDS system comprises:

1) and the infrastructure layer is mainly realized by adopting a virtualization technology of cloud computing infrastructure. Virtualization technologies of a cloud computing infrastructure include: server virtualization, storage virtualization, and network virtualization.

2) And the data layer mainly comprises a relational database, a current transformer characteristic information database and a file system.

3) The component layer comprises development type components required by the platform, and the component framework adopts a Java framework and comprises a Java basic component library, a Spring component, other open source components and other class libraries.

4) The service layer mainly realizes the encapsulation and integration of public services, is used for providing public service support for the application layer, and specifically comprises a distributed service framework, a message middleware, a short message service interface and the like.

5) The application layer is mainly based on a popular J2EE framework, achieves a system interaction interface by using an HTML + JavaScript + CSS development technology, and renders a page by adopting components such as a chart and the like.

FIG. 4 is a logic frame diagram of the low-voltage current transformer metering performance evaluation device and system, the low-voltage current transformer is connected with the electric energy meter through a CT secondary circuit, a collection terminal module collects data of the electric energy meter and sends the data to a front end collection control platform, a small signal detection device is arranged outside the circuit to detect parameter information of the secondary circuit and send the parameter information to a current transformer on-line detection function module, the current transformer on-line detection function module comprises a modular detection module 3 and a fitting module 230, the current transformer on-line detection function module also sends detection data to the front end collection control platform, a data storage module for storing data and an operation processing module for processing data are arranged between the collection terminal module and the current transformer on-line detection function module, the front end collection platform fuses the data into a transformer on-line detection database, and a secondary circuit fault category database is formed jointly by combining a basic error database (with initial verification data of the low-voltage current transformer) acquired by the MDS system and a ledger information database acquired by the 186 system, and the secondary circuit fault category database is analyzed by applying a big data analysis technology to obtain a multi-dimensional evaluation result and ensure the rationality of the evaluation result.

In the embodiment of the present invention, a signal can be sent to the modular detection module 3 through the power controller, the modular detection module 3 measures the metering error data, the metering error data measured and calculated by the method is smaller than that of the traditional direct measurement method, a metering error change curve is obtained by fitting the original data and the metering error data, the data in the metering error change curve is analyzed by means of the metering error change curve, the metering performance of the low-voltage current transformer is evaluated by combining a preset evaluation algorithm, the whole process is finished on line without stopping, and unnecessary economic loss is avoided, and the evaluation result is expanded from a plurality of dimensions, the data is integrated into a fault category database of a unified secondary loop, the accuracy of the evaluation result is further improved, the reasonability of data is enhanced, and reference is provided for future health state control of the low-voltage current transformer.

Fig. 5 is a schematic diagram of an electronic device 5 according to an embodiment of the present invention. As shown in fig. 5, the apparatus of this embodiment includes: a processor 50, a memory 51 and a computer program 52 stored in the memory 51 and executable on the processor 50. The processor 50 executes the computer program 52 to implement the steps in the above-mentioned distribution network load transfer method embodiment, such as the steps S101 to S104 shown in fig. 1. Alternatively, the processor 50, when executing the computer program 52, implements the functions of the modules in the above-described device embodiments, such as the functions of the modules 210 to 240 shown in fig. 2.

Illustratively, the computer program 52 may be partitioned into one or more modules, which are stored in the memory 51 and executed by the processor 50 to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing specific functions that describe the execution of the computer program 52 in the electronic device 5. For example, the computer program 52 may be divided into the modules 210 to 240 shown in fig. 2.

The electronic device 5 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The electronic device 5 may include, but is not limited to, a processor 50, a memory 51. Those skilled in the art will appreciate that fig. 5 is only an example of the electronic device 5 and does not constitute a limitation of the electronic device 5 and may include more or less components than those shown, or combine certain components, or different components, e.g., the terminal may also include input output devices, network access devices, buses, etc.

The Processor 50 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The storage 51 may be an internal storage unit of the electronic device 5, such as a hard disk or a memory of the electronic device 5. The memory 51 may also be an external storage device of the electronic device 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the electronic device 5. Further, the memory 51 may also include both an internal storage unit and an external storage device of the electronic device 5. The memory 51 is used for storing computer programs and other programs and data required by the terminal. The memory 51 may also be used to temporarily store data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the above-mentioned apparatus may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described device/terminal embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, for example, multiple units or components may be combined or integrated into another device, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated module, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method according to the above embodiments may be implemented by a computer program, which is stored in a computer readable storage medium and used for instructing related hardware to implement the steps of the above embodiments of the load transfer method when executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may include any suitable increase or decrease as required by legislation and patent practice in the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.