CN114152845A - Method and device for online detection and evaluation of performance of built-in ultrahigh frequency sensor of combined electrical apparatus - Google Patents

Method and device for online detection and evaluation of performance of built-in ultrahigh frequency sensor of combined electrical apparatus Download PDF

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CN114152845A
CN114152845A CN202111408394.0A CN202111408394A CN114152845A CN 114152845 A CN114152845 A CN 114152845A CN 202111408394 A CN202111408394 A CN 202111408394A CN 114152845 A CN114152845 A CN 114152845A
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ultrahigh frequency
adjacent
sensors
frequency sensors
performance
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李天辉
臧谦
甄利
贾伯岩
刘宏亮
张达
董驰
路士杰
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
State Grid Hebei Energy Technology Service Co Ltd
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
State Grid Hebei Energy Technology Service Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • G01R31/1254Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of gas-insulated power appliances or vacuum gaps

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Abstract

The invention is suitable for the technical field of electric power, and provides a method and a device for online detection and evaluation of the performance of an ultrahigh frequency sensor built in a combined electrical appliance, wherein the method comprises the following steps: acquiring the distance between two adjacent ultrahigh frequency sensors and a GIS structure; determining the distance between two adjacent ultrahigh frequency sensors and the estimated value of the signal attenuation coefficient generated by the GIS structure according to the distance and the GIS structure; inputting a preset standard signal to the GIS equipment through any one ultrahigh frequency sensor of two adjacent ultrahigh frequency sensors, and measuring a transfer function between the two adjacent ultrahigh frequency sensors; and performing performance detection on two adjacent ultrahigh frequency sensors based on the signal attenuation coefficient estimation value and the transfer function. The invention can conveniently and accurately detect the performance of the ultrahigh frequency sensor installed in the GIS equipment.

Description

Method and device for online detection and evaluation of performance of built-in ultrahigh frequency sensor of combined electrical apparatus
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to a method and a device for online detection and evaluation of performance of a built-in ultrahigh frequency sensor of a combined electrical appliance.
Background
The ultrahigh frequency detection method is suitable for GIS partial discharge online detection, finds numerous GIS insulation defects in field application, and plays an important role in ensuring the reliable operation of GIS equipment.
As a key device in ultrahigh frequency detection, the performance of the ultrahigh frequency sensor directly determines the detection sensitivity and the effective detection range. The failure of the sensor or even the self-discharge can directly cause the false alarm of the hidden trouble of the insulation discharge fault, and the use is seriously influenced. Therefore, in order to ensure the effectiveness of the ultrahigh frequency sensor in the online detection of the partial discharge of the GIS, the performance of the ultrahigh frequency sensor needs to be accurately detected on site.
Disclosure of Invention
In view of this, the embodiment of the present invention provides a method and an apparatus for online performance detection and evaluation of an uhf sensor built in a combined electrical appliance, so as to conveniently and accurately perform performance detection on the uhf sensor installed in a GIS device.
The first aspect of the embodiment of the invention provides an online detection and evaluation method for the performance of an ultrahigh frequency sensor built in a combined electrical appliance, which is used for detecting the performance of a plurality of ultrahigh frequency sensors installed in GIS equipment;
the method comprises the following steps:
acquiring the distance between two adjacent ultrahigh frequency sensors and a GIS structure;
determining the distance between two adjacent ultrahigh frequency sensors and the estimated value of the signal attenuation coefficient generated by the GIS structure according to the distance and the GIS structure;
inputting a preset standard signal to the GIS equipment through any one ultrahigh frequency sensor of two adjacent ultrahigh frequency sensors, and measuring a transfer function between the two adjacent ultrahigh frequency sensors;
and performing performance detection on two adjacent ultrahigh frequency sensors based on the signal attenuation coefficient estimation value and the transfer function.
Optionally, the calculation formula of the signal attenuation coefficient estimated value is as follows:
S=Kl*l+Ki*Gi
wherein S is the estimated value of the signal attenuation coefficient, l is the distance between two adjacent ultrahigh frequency sensors, and GiFor the GIS structure, K, between two adjacent UHF sensorslSignal attenuation coefficient per unit distance, KiThe signal attenuation coefficient of the ith GIS structure.
Optionally, the inputting a preset standard signal to the GIS device through the ultrahigh frequency sensor includes:
inputting pulse voltage to the ultrahigh frequency sensor so that the ultrahigh frequency sensor generates an electromagnetic wave signal which is transmitted to the inside of the GIS equipment to form a standard signal;
wherein the frequency of the pulse voltage is between 300MHz and 1.5 GHz.
Optionally, measuring a transfer function between two adjacent uhf sensors includes:
the method comprises the following steps of (1) equivalently setting two adjacent ultrahigh frequency sensors and a GIS structure between the two adjacent ultrahigh frequency sensors into a dual-port network;
and measuring a transfer function between two adjacent ultrahigh frequency sensors by a network analyzer.
Optionally, the measuring, by the network analyzer, a transfer function between two adjacent uhf sensors includes:
setting and calibrating parameters of the network analyzer;
and respectively connecting two ports of the network analyzer with two adjacent ultrahigh frequency sensors, and measuring to obtain a transfer function between the two adjacent ultrahigh frequency sensors.
Optionally, the performance detection of two adjacent uhf sensors based on the signal attenuation coefficient estimation value and the transfer function includes:
determining an average attenuation coefficient between two adjacent ultrahigh frequency sensors according to the transfer function, and calculating a difference value between a signal attenuation coefficient estimation value and the average attenuation coefficient;
if the difference value is smaller than the preset threshold value, judging that the detection performance of two adjacent ultrahigh frequency sensors is good; and if the difference value is not smaller than the preset threshold value, judging that the detection performance of at least one ultrahigh frequency sensor in the two adjacent ultrahigh frequency sensors is poor.
Optionally, after determining that the detection performance of at least one ultrahigh frequency sensor of two adjacent ultrahigh frequency sensors is poor, the method further includes:
respectively measuring the resistance values of output interfaces of two adjacent ultrahigh frequency sensors;
and determining an abnormal ultrahigh frequency sensor based on the output interface resistance value and analyzing the abnormal reason.
The second aspect of the embodiment of the invention provides an online detection and evaluation device for the performance of an ultrahigh frequency sensor built in a combined electrical appliance, which is used for detecting the performance of a plurality of ultrahigh frequency sensors installed in GIS equipment;
the device includes:
the acquisition module is used for acquiring the distance between two adjacent ultrahigh frequency sensors and the GIS structure;
the estimation module is used for determining the distance between two adjacent ultrahigh frequency sensors and the estimated value of the signal attenuation coefficient generated by the GIS structure according to the distance and the GIS structure;
the measurement module is used for inputting a preset standard signal to the GIS equipment through any one ultrahigh frequency sensor of two adjacent ultrahigh frequency sensors and measuring a transfer function between the two adjacent ultrahigh frequency sensors;
and the detection module is used for detecting the performance of two adjacent ultrahigh frequency sensors based on the estimated value of the signal attenuation coefficient and the transfer function.
A third aspect of the embodiments of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the method for online detecting and evaluating the performance of the built-in uhf sensor of the combined electrical appliance are implemented.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the method for online performance detection and evaluation of an uhf sensor in a composite apparatus as described above are implemented.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, the distance between two adjacent ultrahigh frequency sensors and the signal attenuation coefficient generated by the GIS structure are estimated, then the transfer function between the two adjacent ultrahigh frequency sensors is measured, and the signal attenuation coefficients generated by the two ultrahigh frequency sensors can be analyzed and obtained based on the transfer function and the signal attenuation coefficient generated by the distance and the GIS structure, so that the performances of the two ultrahigh frequency sensors are judged. The embodiment of the invention can conveniently and accurately detect the performance of the ultrahigh frequency sensor installed in the GIS equipment, find the sensor with reduced sensitivity caused by aging and the like, and ensure the reliability of the GIS partial discharge monitoring system.
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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 schematic flow chart of a method for detecting and evaluating performance of an ultrahigh frequency sensor built in a combined electrical appliance on line according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a uhf signal transmission process provided in an embodiment of the present invention;
FIG. 3 is a schematic diagram of a performance testing process according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an online performance detection and evaluation device for a built-in ultrahigh frequency sensor of a combined electrical apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural 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 explain the technical means of the present invention, the following description will be given by way of specific examples.
Gas Insulated metal enclosed switchgear (GIS) is SF6Metal-enclosed switchgear with gas as the insulating medium is also referred to as gas-insulated substation. Various electrical devices (such as circuit breakers, isolating switches, grounding switches, voltage transformers, current transformers, buses, connecting pipes, transition elements and the like) except transformers in a transformer substation are assembled in a metal shell and filled with SF (sulfur hexafluoride) of 0.4-0.5 Mpa6And gas is used for realizing reliable insulation of the high-voltage conductor to the shell, the phase and the fracture. The GIS equipment has compact structure and high safety and reliability, and is rapidly developed since the time comes out, from 35kV to 1The voltage class of 100kV is widely applied. However, once a GIS device fails, a local area is powered off, and in a serious case, even a large-area power grid is broken down, which damages the normal operation of a power system and causes a great economic loss. Therefore, the GIS equipment is effectively detected, the corresponding fault type is accurately diagnosed, and then the corresponding processing measure is formulated based on the diagnosis result to prevent the fault in the bud, so that the GIS equipment and the power system are of great significance in ensuring safe and stable operation.
Partial discharge detection is an effective method for finding latent insulation defects of GIS equipment. Among many partial discharge detection methods, the Ultra High Frequency (UHF) method detects an UHF electromagnetic wave signal generated by partial discharge using an UHF sensor to obtain information about the partial discharge, thereby realizing on-line monitoring and fault diagnosis of the partial discharge. The ultrahigh frequency method is required to accurately detect partial discharge of GIS equipment, and the ultrahigh frequency sensor has good performance. However, for the uhf sensors already installed in the GIS device, a convenient and effective performance detection method is currently lacking.
In view of this, the embodiment of the present invention provides an online performance detection and evaluation method for an uhf sensor built in a combined electrical appliance, where the method is used for performing performance detection on multiple uhf sensors installed in a GIS device.
Referring to fig. 1, the method includes:
and S101, acquiring the distance between two adjacent ultrahigh frequency sensors and a GIS structure.
In the embodiment of the invention, because each ultrahigh frequency sensor is installed at each measuring point of the GIS device in advance, the distance between two adjacent ultrahigh frequency sensors and the GIS structure can be acquired by means of power management system introduction or manual input and the like. Wherein, the GIS structure can include L type structure, T structure, the conductor fracture that circuit breaker, isolator, earthing switch produced, conductor and casing size change to and current transformer, voltage transformer, arrester, sleeve pipe, generating line etc..
And S102, determining the estimated value of the signal attenuation coefficient generated by the distance between two adjacent ultrahigh frequency sensors and the GIS structure according to the distance and the GIS structure.
In the embodiment of the invention, the high-voltage metal part and the metal shell in the GIS device are of a coaxial structure, wherein the high-voltage metal part and the metal shell comprise a plurality of turning structures, and the parts are complex and diversified. When the UHF electromagnetic wave propagates inside the GIS structure, phenomena such as diffusion, refraction and reflection occur, which causes attenuation of the signal amplitude.
Step S103, inputting a preset standard signal to the GIS equipment through any one ultrahigh frequency sensor of two adjacent ultrahigh frequency sensors, and measuring a transfer function between the two adjacent ultrahigh frequency sensors.
In the embodiment of the invention, as shown in fig. 2, assuming that C1 and C2 are two adjacent uhf sensors, a pulse voltage with a certain frequency can be input to the uhf sensor C1 through a pulse generator, and after conversion, an uhf electromagnetic wave signal is excited into a GIS device cavity to form a standard signal. The initial intensity of the electromagnetic wave is represented by field intensity E1(t), the electromagnetic wave propagates to two sides along the inside of the GIS device, the field intensity formed at the ultrahigh frequency sensor C2 after attenuation is E2(t), the ultrahigh frequency sensor C2 outputs a voltage signal after coupling the field intensity signal of the electromagnetic wave, and H is assumed to be1(f)、H2(f)、HG(f) The transfer functions of C1, C2 and GIS cavity structures, respectively, are defined as follows:
Figure BDA0003373135380000061
Figure BDA0003373135380000062
Figure BDA0003373135380000063
the overall transfer function between the two sensors is then:
Figure BDA0003373135380000064
it can be seen that the transfer function between two adjacent sensors is the sum of the transfer function of the transceiving sensor and the transfer function of the GIS cavity, and the unit is dB. The higher the conversion efficiency of the sensor is, the smaller the attenuation of the electromagnetic wave in the GIS cavity is, and the higher the detection sensitivity of the sensor is; otherwise, the detection sensitivity of the sensor is low.
And step S104, detecting the performance of two adjacent ultrahigh frequency sensors based on the estimated value of the signal attenuation coefficient and the transfer function.
In the embodiment of the invention, the signal attenuation coefficients generated by two ultrahigh frequency sensors can be analyzed and obtained through the transfer function between two adjacent ultrahigh frequency sensors and the signal attenuation coefficients generated by the distance and the GIS structure, and the performances of the two ultrahigh frequency sensors can be further judged.
Therefore, the embodiment of the invention can analyze and obtain the signal attenuation coefficients generated by the two ultrahigh frequency sensors by estimating the distance between the two adjacent ultrahigh frequency sensors and the signal attenuation coefficient generated by the GIS structure, then measuring the transfer function between the two adjacent ultrahigh frequency sensors, and based on the transfer function and the signal attenuation coefficient generated by the distance and the GIS structure, further judging the performance of the two ultrahigh frequency sensors. The embodiment of the invention can conveniently and accurately detect the performance of the ultrahigh frequency sensor installed in the GIS equipment under the charged condition, eliminate the degradation and performance reduction of the sensor caused by material aging, mechanical vibration of the equipment and other factors, and ensure the reliability of the GIS partial discharge monitoring system.
Optionally, the calculation formula of the estimated value of the signal attenuation coefficient in step S102 is as follows:
S=Kl*l+Ki*Gi
wherein S is the estimated value of the signal attenuation coefficient, l is the distance between two adjacent ultrahigh frequency sensors, and GiFor said two adjacentGIS structure, K, between ultrahigh frequency sensorslSignal attenuation coefficient per unit distance, KiThe signal attenuation coefficient of the ith GIS structure.
In the embodiment of the present invention, for example, a lot of experimental analysis shows that the propagation of the high frequency electromagnetic wave in the GIS cavity has the following characteristics:
(1) inside the GIS cavity, because the original waveform and the waveform superposition of the original wave continuously reflected in the GIS cavity, the maximum value of the electric field intensity of the ultrahigh frequency signal in the GIS cavity is not always reduced, but oscillation attenuation is presented, and the ultrahigh frequency signal is attenuated by 1.5dB about every 1 m.
(2) The attenuation of the vhf signal is about 1.78dB per T-bend pass.
From the above example, it can be understood that, through the distance between two adjacent uhf sensors and the GIS structure, the signal attenuation coefficient generated by the GIS structure can be roughly estimated.
Optionally, the step S103 of inputting a preset standard signal to the GIS device through the ultrahigh frequency sensor includes:
inputting pulse voltage to the ultrahigh frequency sensor so that the ultrahigh frequency sensor generates an electromagnetic wave signal which is transmitted to the inside of the GIS equipment to form a standard signal;
wherein the frequency of the pulse voltage is between 300MHz and 1.5 GHz.
In the embodiment of the invention, a plurality of frequency measuring points can be arranged between 300MHz and 1.5GHz to measure the transfer function between two adjacent ultrahigh frequency sensors.
Optionally, the step S103 of measuring a transfer function between two adjacent uhf sensors includes:
the method comprises the following steps of (1) equivalently setting two adjacent ultrahigh frequency sensors and a GIS structure between the two adjacent ultrahigh frequency sensors into a dual-port network;
and measuring a transfer function between two adjacent ultrahigh frequency sensors by a network analyzer.
In the embodiment of the invention, the C1, the C2 and the GIS structure between the two sensors are regarded as a two-port network, the input end of the C1 is port 1, the input end of the C2 is port 2, and a network analyzer can be used for measuring the S21 parameter between the two ports at any frequency, so that a transfer function can be obtained.
Optionally, the measuring, by the network analyzer, a transfer function between two adjacent uhf sensors includes:
setting and calibrating parameters of the network analyzer;
and respectively connecting two ports of the network analyzer with two adjacent ultrahigh frequency sensors, and measuring to obtain a transfer function between the two adjacent ultrahigh frequency sensors.
In the embodiment of the invention, the frequency band of the network analyzer is set to 100 kHz-3 GHz, the point is 1601, and the output power is 10 dBm. The measuring steps are as follows:
(1) the signal cable and the power line are connected on the premise of ensuring safety.
(2) The measurement mode, frequency and power level range are set.
(3) And the channel is calibrated, and the unevenness of the source output power and the transmission loss of the connecting cable and the joint are normalized, so that the measurement error is reduced.
(4) Connecting the test cable with two adjacent sensors to be tested, and measuring and recording the transfer function curve.
Optionally, referring to fig. 3, in step S104, the performance detection of two adjacent uhf sensors based on the signal attenuation coefficient estimation value and the transfer function includes:
step S1041, determining an average attenuation coefficient between two adjacent ultrahigh frequency sensors according to the transfer function, and calculating a difference value between the estimated value of the signal attenuation coefficient and the average attenuation coefficient;
step S1042, if the difference is smaller than a preset threshold, judging that the detection performance of two adjacent ultrahigh frequency sensors is good; and if the difference value is not smaller than the preset threshold value, judging that the detection performance of at least one ultrahigh frequency sensor in the two adjacent ultrahigh frequency sensors is poor.
In the embodiment of the invention, the average value of the transfer function under different signal frequencies is calculated, and then the average attenuation coefficient can be obtained. According to the above, the average attenuation coefficient represents the total signal attenuation coefficient between two adjacent ultrahigh frequency sensors, and the difference between the estimated value of the signal attenuation coefficient and the average attenuation coefficient is calculated, so that the signal attenuation coefficient generated by the two adjacent ultrahigh frequency sensors can be obtained. When the attenuation coefficient of the signals generated by two adjacent ultrahigh frequency sensors is larger than a certain value, the performance of the sensors is degraded. The performance condition of each ultrahigh frequency sensor can be conveniently and accurately determined by a pairwise detection method.
Optionally, after determining that the detection performance of at least one uhf sensor of two adjacent uhf sensors is poor in step S103, the method further includes:
respectively measuring the resistance values of output interfaces of two adjacent ultrahigh frequency sensors;
and determining an abnormal ultrahigh frequency sensor based on the output interface resistance value and analyzing the abnormal reason.
In the embodiment of the invention, a universal meter can be used for measuring the resistance value of the output interface of the ultrahigh frequency sensor so as to accurately position the fault sensor and analyze the fault reason. For example, when the output interface resistance value of the uhf sensor is 0, it indicates that a short circuit defect exists inside the uhf sensor. In addition, the voltage of the wiring port of the ultrahigh frequency sensor can be measured, and the fault reason can be analyzed according to the voltage condition.
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.
Referring to fig. 4, an embodiment of the present invention provides an online performance detection and evaluation device for an uhf sensor built in a combined electrical appliance, where the online performance detection and evaluation device is used for performing performance detection on multiple uhf sensors installed in a GIS device.
The apparatus 40 comprises:
and the obtaining module 41 is used for obtaining the distance between two adjacent ultrahigh frequency sensors and the GIS structure.
And the estimation module 42 is used for determining the estimated value of the signal attenuation coefficient generated by the distance between two adjacent ultrahigh frequency sensors and the GIS structure according to the distance and the GIS structure.
And the measuring module 43 is configured to input a preset standard signal to the GIS device through any one of the two adjacent uhf sensors, and measure a transfer function between the two adjacent uhf sensors.
And the detection module 44 is used for performing performance detection on two adjacent ultrahigh frequency sensors based on the signal attenuation coefficient estimation value and the transfer function.
Optionally, the calculation formula of the signal attenuation coefficient estimated value is as follows:
S=Kl*l+Ki*Gi
wherein S is the estimated value of the signal attenuation coefficient, l is the distance between two adjacent ultrahigh frequency sensors, and GiFor the GIS structure, K, between two adjacent UHF sensorslSignal attenuation coefficient per unit distance, KiThe signal attenuation coefficient of the ith GIS structure.
Optionally, the measurement module 43 is specifically configured to:
inputting pulse voltage to the ultrahigh frequency sensor so that the ultrahigh frequency sensor generates an electromagnetic wave signal which is transmitted to the inside of the GIS equipment to form a standard signal;
wherein the frequency of the pulse voltage is between 300MHz and 1.5 GHz.
Optionally, the measurement module 43 is specifically configured to:
the method comprises the following steps of (1) equivalently setting two adjacent ultrahigh frequency sensors and a GIS structure between the two adjacent ultrahigh frequency sensors into a dual-port network;
and measuring a transfer function between two adjacent ultrahigh frequency sensors by a network analyzer.
Optionally, the measurement module 43 is specifically configured to:
setting and calibrating parameters of the network analyzer;
and respectively connecting two ports of the network analyzer with two adjacent ultrahigh frequency sensors, and measuring to obtain a transfer function between the two adjacent ultrahigh frequency sensors.
Optionally, the detection module 44 is specifically configured to:
determining an average attenuation coefficient between two adjacent ultrahigh frequency sensors according to the transfer function, and calculating a difference value between a signal attenuation coefficient estimation value and the average attenuation coefficient;
if the difference value is smaller than the preset threshold value, judging that the detection performance of two adjacent ultrahigh frequency sensors is good; and if the difference value is not smaller than the preset threshold value, judging that the detection performance of at least one ultrahigh frequency sensor in the two adjacent ultrahigh frequency sensors is poor.
Optionally, after determining that the detection performance of at least one of the two adjacent uhf sensors is poor, the detection module 44 is further configured to:
respectively measuring the resistance values of output interfaces of two adjacent ultrahigh frequency sensors;
and determining an abnormal ultrahigh frequency sensor based on the output interface resistance value and analyzing the abnormal reason.
Fig. 5 is a schematic diagram of an electronic device 50 according to an embodiment of the present invention. As shown in fig. 5, the electronic apparatus 50 of this embodiment includes: a processor 51, a memory 52, and a computer program 53, such as a uhf sensor performance detection program, stored in the memory 52 and operable on the processor 51. The processor 51 executes the computer program 53 to implement the steps in the above-mentioned embodiment of the method for detecting and evaluating the performance of the uhf sensor built in each of the combiners on line, for example, steps S101 to S104 shown in fig. 1. Alternatively, the processor 51 implements the functions of the modules in the above-described device embodiments, such as the functions of the modules 41 to 44 shown in fig. 4, when executing the computer program 53.
Illustratively, the computer program 53 may be divided into one or more modules/units, which are stored in the memory 52 and executed by the processor 51 to carry out the invention. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 53 in the electronic device 50. For example, the computer program 53 may be divided into an acquisition module 41, an estimation module 42, a measurement module 43, and a detection module 44 (modules in a virtual device), and each module has the following specific functions:
and the obtaining module 41 is used for obtaining the distance between two adjacent ultrahigh frequency sensors and the GIS structure.
And the estimation module 42 is used for determining the estimated value of the signal attenuation coefficient generated by the distance between two adjacent ultrahigh frequency sensors and the GIS structure according to the distance and the GIS structure.
And the measuring module 43 is configured to input a preset standard signal to the GIS device through any one of the two adjacent uhf sensors, and measure a transfer function between the two adjacent uhf sensors.
And the detection module 44 is used for performing performance detection on two adjacent ultrahigh frequency sensors based on the signal attenuation coefficient estimation value and the transfer function.
The electronic device 50 may be a desktop computer, a notebook, a palm top computer, a cloud server, or other computing devices. The electronic device 50 may include, but is not limited to, a processor 51, a memory 52. Those skilled in the art will appreciate that fig. 5 is merely an example of an electronic device 50 and does not constitute a limitation of electronic device 50 and may include more or fewer components than shown, or combine certain components, or different components, e.g., electronic device 50 may also include input-output devices, network access devices, buses, etc.
The Processor 51 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf 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 52 may be an internal storage unit of the electronic device 50, such as a hard disk or a memory of the electronic device 50. The memory 52 may also be an external storage device of the electronic device 50, 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 50. Further, the memory 52 may also include both internal storage units of the electronic device 50 and external storage devices. The memory 52 is used for storing computer programs and other programs and data required by the electronic device 50. The memory 52 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 system 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/electronic device and method may be implemented in other ways. For example, the above-described apparatus/electronic device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logic function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another system, 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 modules/units, if implemented in the form of software functional units and sold or used as separate products, 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 embodiments of the present invention may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the embodiments of the method. 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, U.S. 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 media, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, in accordance with legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunications signals.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; 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.

Claims (10)

1. The online performance detection and evaluation method for the built-in ultrahigh frequency sensor of the combined electrical appliance is characterized in that the method is used for detecting the performance of a plurality of ultrahigh frequency sensors installed in GIS equipment;
the method comprises the following steps:
acquiring the distance between two adjacent ultrahigh frequency sensors and a GIS structure;
determining the estimated value of the signal attenuation coefficient generated by the distance between the two adjacent ultrahigh frequency sensors and the GIS structure according to the distance and the GIS structure;
inputting a preset standard signal to the GIS equipment through any one of the two adjacent ultrahigh frequency sensors, and measuring a transfer function between the two adjacent ultrahigh frequency sensors;
and performing performance detection on the two adjacent ultrahigh frequency sensors based on the signal attenuation coefficient estimation value and the transfer function.
2. The method for on-line detection and evaluation of performance of built-in ultrahigh frequency sensor of combined electrical apparatus according to claim 1, wherein the calculation formula of the signal attenuation coefficient estimation value is:
S=Kl*l+Ki*Gi
wherein S is the estimated value of the signal attenuation coefficient, l is the distance between two adjacent ultrahigh frequency sensors, and GiFor the GIS structure, K, between two adjacent UHF sensorslSignal attenuation coefficient per unit distance, KiThe signal attenuation coefficient of the ith GIS structure.
3. The method for detecting and evaluating the performance of the built-in ultrahigh frequency sensor of the combined electrical apparatus according to claim 1, wherein the step of inputting a preset standard signal to the GIS device through the ultrahigh frequency sensor comprises the following steps:
inputting pulse voltage to the ultrahigh frequency sensor so that the ultrahigh frequency sensor generates an electromagnetic wave signal which is transmitted to the inside of the GIS equipment to form the standard signal;
wherein the frequency of the pulse voltage is between 300MHz and 1.5 GHz.
4. The method for on-line performance detection and evaluation of built-in ultrahigh frequency sensors of a combined electrical apparatus according to claim 1, wherein measuring a transfer function between two adjacent ultrahigh frequency sensors comprises:
the two adjacent ultrahigh frequency sensors and the GIS structure between the two adjacent ultrahigh frequency sensors are equivalent to a dual-port network;
and measuring a transfer function between the two adjacent ultrahigh frequency sensors by a network analyzer.
5. The method for on-line detection and evaluation of performance of built-in ultrahigh frequency sensor of the combined electrical apparatus according to claim 4, wherein the step of measuring a transfer function between two adjacent ultrahigh frequency sensors by a network analyzer comprises:
setting and calibrating parameters of the network analyzer;
and respectively connecting two ports of the network analyzer with the two adjacent ultrahigh frequency sensors, and measuring to obtain a transfer function between the two adjacent ultrahigh frequency sensors.
6. The method for on-line performance detection and evaluation of built-in ultrahigh frequency sensor of a combined electrical apparatus according to claim 1, wherein the performance detection of the two adjacent ultrahigh frequency sensors based on the signal attenuation coefficient estimation value and the transfer function comprises:
determining an average attenuation coefficient between the two adjacent ultrahigh frequency sensors according to the transfer function, and calculating a difference value between the estimated signal attenuation coefficient value and the average attenuation coefficient;
if the difference value is smaller than a preset threshold value, judging that the detection performance of the two adjacent ultrahigh frequency sensors is good; and if the difference is not less than a preset threshold value, judging that the detection performance of at least one ultrahigh frequency sensor in the two adjacent ultrahigh frequency sensors is poor.
7. The method for on-line detection and evaluation of performance of built-in UHF sensors of a combined electrical apparatus according to claim 6, wherein after determining that at least one UHF sensor of the two adjacent UHF sensors has poor detection performance, the method further comprises:
respectively measuring the resistance values of the output interfaces of the two adjacent ultrahigh frequency sensors;
and determining an abnormal ultrahigh frequency sensor based on the output interface resistance value and analyzing the abnormal reason.
8. The device is characterized in that the device is used for detecting the performance of a plurality of ultrahigh frequency sensors installed in GIS equipment;
the device comprises:
the acquisition module is used for acquiring the distance between two adjacent ultrahigh frequency sensors and the GIS structure;
the estimation module is used for determining the distance between the two adjacent ultrahigh frequency sensors and the estimated value of the signal attenuation coefficient generated by the GIS structure according to the distance and the GIS structure;
the measurement module is used for inputting a preset standard signal to the GIS equipment through any one ultrahigh frequency sensor of the two adjacent ultrahigh frequency sensors and measuring a transfer function between the two adjacent ultrahigh frequency sensors;
and the detection module is used for detecting the performance of the two adjacent ultrahigh frequency sensors based on the estimated value of the signal attenuation coefficient and the transfer function.
9. 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 claims 1 to 7 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
CN202111408394.0A 2021-11-24 2021-11-24 Method and device for online detection and evaluation of performance of built-in ultrahigh frequency sensor of combined electrical apparatus Pending CN114152845A (en)

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