CN117554754A - Optimization method and system for GIS built-in ultrahigh frequency sensor - Google Patents
Optimization method and system for GIS built-in ultrahigh frequency sensor Download PDFInfo
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- G01R31/12—Testing 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
- G01R31/1227—Testing 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
- G01R31/1254—Testing 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
Abstract
The invention discloses a GIS built-in ultrahigh frequency sensor optimization method and a system, which relate to the technical field of sensor optimization and comprise the steps of collecting GIS equipment, partial discharge pulse current and sensor data, and establishing a circular microstrip antenna calculation model; calculating the effective radius of the circular microstrip antenna; comparing the physical radius with the effective radius of the circular microstrip antenna, and obtaining a comparison result; based on the comparison result, the sensor is optimized. The method comprises the steps of calculating the effective radius of the circular microstrip antenna, comparing the physical radius of the circular microstrip antenna with the effective radius, optimizing the model or the position of the sensor, and fully playing the performance of the sensor so as to meet the performance requirement of the sensor when detecting the partial discharge generated by the gas insulated switchgear GIS.
Description
Technical Field
The invention relates to the technical field of sensor optimization, in particular to a method and a system for optimizing a built-in ultrahigh frequency sensor of a GIS.
Background
The ultrahigh frequency detection technology is a currently accepted and effective GIS partial discharge detection means, and has the advantages of high sensitivity and strong anti-interference capability. At present, the technology is widely applied to power systems. A large number of GIS insulation defects are found by utilizing the technology, and the loss caused by GIS faults is greatly reduced. However, the GIS device is complex in structure, and its internal components are complex and diverse, including: circuit breakers, disconnectors, earthing switches, CTs, PTs, arresters, etc. Ultra-high frequency (UHF) partial discharge signal detection is one of important methods for monitoring insulation defect states of key power transformation equipment such as GIS, and a sensor is a vital link, and sensitivity of the sensor directly influences effectiveness and reliability of field detection.
Under the general condition, engineering personnel install 1 built-in ultrahigh frequency sensor on each phase of GIS equipment according to experience, arrange a built-in ultrahigh frequency sensor on a bus according to every 20 meters, and for GIS equipment with different voltage levels, the structural dimensions are greatly different, and the attenuation degree of electromagnetic waves is also greatly different when the electromagnetic waves propagate in the GIS equipment. In this case, a constant sensor arrangement method is adopted according to engineering experience, which can lead to insufficient utilization of the performance of the sensor, insufficient sensitivity of the sensor during detection, and difficulty in acquiring real data.
For GIS equipment with different voltage levels, the structural dimensions of the GIS equipment are greatly different, and the attenuation degree of electromagnetic waves is also greatly different when the electromagnetic waves propagate in the GIS equipment. In this case, a constant sensor arrangement method is adopted according to engineering experience, which can lead to insufficient utilization of the performance of the sensor, insufficient sensitivity of the sensor during detection, and difficulty in acquiring real data.
The model or the position of the sensor is optimized by calculating the effective radius of the circular microstrip antenna and comparing the physical radius of the circular microstrip antenna with the effective radius.
Disclosure of Invention
The present invention has been made in view of the above-described problems.
Accordingly, the present invention solves the problems of: how to optimize the model or position of the sensor.
In order to solve the technical problems, the invention provides the following technical scheme: the optimization method of the built-in ultrahigh frequency sensor of the GIS comprises the steps of collecting GIS equipment, partial discharge pulse current and sensor data, and establishing a circular microstrip antenna calculation model; calculating the effective radius of the circular microstrip antenna; comparing the physical radius with the effective radius of the circular microstrip antenna, and obtaining a comparison result; based on the comparison result, the sensor is optimized.
As a preferable scheme of the optimization method of the GIS built-in ultrahigh frequency sensor, the optimization method comprises the following steps: the circular microstrip antenna calculation model comprises that a sensor with a built-in disc is adopted as the sensor, the distance between a plane disc and a grounding plate of the sensor with the built-in disc is far smaller than the diameter of the disc, the space between the disc and the grounding plate is regarded as a leaky wave cavity with an electric wall up and down and a magnetic wall around, the sensor is equivalent to a circular microstrip antenna, and distance information between the circular microstrip antenna and the grounding plate and the physical radius of the circular microstrip antenna are acquired.
As a preferable scheme of the optimization method of the GIS built-in ultrahigh frequency sensor, the optimization method comprises the following steps: the effective radius of the circular microstrip antenna comprises that the radius of the circular microstrip antenna is defined as a, and according to the cavity mode theory, the eigenfunctions and eigenequations of an electromagnetic field in a cavity formed between a circular patch and a grounding plate are expressed as:
J′ m (k mn a)＝0
wherein, psi is mn The eigenvalue of the electromagnetic field in the cavity is formed between the circular patch and the grounding plate, ρ is the radial distance from the center of the circular microstrip antenna to any point, J' m (x) For the first class of m-order Bessel functions J m (x) And m is the azimuth angle of the field edgeN represents the number of changes in the radial direction of the field, and k represents the wave number; therefore, a circular microstrip antenna mode resonance frequency calculation formula can be obtained.
As a preferable scheme of the optimization method of the GIS built-in ultrahigh frequency sensor, the optimization method comprises the following steps: the circular microstrip antenna mode resonance frequency calculation formula is expressed as:
wherein, χ' mn Derivative J of the first class of m-order Bessel functions m The nth zero point, ε of' (x) r A is the relative dielectric constant of the dielectric layer e Is the effective radius of a circular microstrip antenna, c represents the amount of charge.
As a preferable scheme of the optimization method of the GIS built-in ultrahigh frequency sensor, the optimization method comprises the following steps: the effective radius of the circular microstrip antenna further comprises that the relation between the effective radius of the circular microstrip antenna and the physical radius a is expressed as follows:
wherein h is the height of the dielectric layer; the resonant frequency of the circular microstrip antenna is determined by the size of the patch and the dielectric constant epsilon of the dielectric layer r And (5) determining.
As a preferable scheme of the optimization method of the GIS built-in ultrahigh frequency sensor, the optimization method comprises the following steps: the comparison result includes calculating a difference between the physical radius and the effective radius of the circular microstrip antenna and comparing the difference with a sensitivity threshold.
As a preferable scheme of the optimization method of the GIS built-in ultrahigh frequency sensor, the optimization method comprises the following steps: the optimization comprises the steps that if the difference value is smaller than the sensitivity threshold value, optimization is not needed, and if the difference value is larger than the sensitivity threshold value, the sensor of the larger disc is replaced, or the distance between the plane disc of the sensor and the grounding plate is reduced, the resonance frequency is reduced, the sensitivity of the sensor is improved, and the performance requirement of the sensor when partial discharge generated by the gas insulated switchgear GIS is detected is met.
Another object of the present invention is to provide a system for optimizing a GIS built-in ultrahigh frequency sensor, which can solve the problem of optimizing a GIS built-in ultrahigh frequency sensor by constructing a sensor optimizing system.
In order to solve the technical problems, the invention provides the following technical scheme: the GIS built-in ultrahigh frequency sensor optimizing system comprises a data acquisition module, a model building module, a calculation module, a comparison analysis module and an optimizing module; the data acquisition module is responsible for collecting all required original data, including GIS equipment data, partial discharge pulse current data and sensor data; the model building module is responsible for building a calculation model of the circular microstrip antenna based on the collected data, and building a proper model according to the data collected by the data collection module so as to be convenient for analysis and optimization; the calculation module is responsible for calculating related parameters, the effective radius and the physical radius of the circular microstrip antenna and the mode resonance frequency calculated based on cavity mode theory; the comparison analysis module is responsible for comparing and analyzing the calculation results, comparing the physical radius and the effective radius of the circular microstrip antenna, and obtaining the comparison result; and the optimization module is responsible for optimizing the sensor according to the comparison and analysis results.
A computer device comprising a memory and a processor, said memory storing a computer program, characterized in that said processor, when executing said computer program, implements the steps of the GIS built-in uhf sensor optimization method as described above.
A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the GIS built-in uhf sensor optimization method as described above.
The invention has the beneficial effects that: the optimization method of the built-in ultrahigh frequency sensor of the GIS provided by the invention optimizes the model or the position of the sensor by calculating the effective radius of the circular microstrip antenna and comparing the physical radius of the circular microstrip antenna with the effective radius, and fully plays the performance of the sensor so as to meet the performance requirement of the sensor when detecting the partial discharge generated by the GIS.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is an overall flowchart of a method for optimizing a GIS built-in ultrahigh frequency sensor according to a first embodiment of the present invention.
Fig. 2 is a flowchart of a method for optimizing a GIS built-in ultrahigh frequency sensor according to a first embodiment of the present invention.
Fig. 3 is a block diagram of a GIS built-in ultrahigh frequency sensor optimization system according to a second embodiment of the present invention.
Fig. 4 is a disc type UHF sensor of the optimization method of the GIS built-in ultrahigh frequency sensor according to the third embodiment of the present invention.
Fig. 5 is S11 of different disc diameters of the optimization method of the GIS built-in ultrahigh frequency sensor according to the third embodiment of the present invention.
Fig. 6 is S11 under different dielectric constants of the optimization method of the GIS built-in ultrahigh frequency sensor according to the third embodiment of the present invention.
Fig. 7 is a schematic diagram showing different distribution modes of shorting pins in a method for optimizing a GIS built-in ultrahigh frequency sensor according to a third embodiment of the present invention.
Fig. 8 is S11 when the short-circuit pin distances of the optimization method of the GIS built-in ultrahigh frequency sensor provided by the third embodiment of the present invention are different.
Fig. 9 is a GTEM equivalent model of a GIS built-in ultrahigh frequency sensor optimization method according to a third embodiment of the present invention.
Fig. 10 is a gaussian pulse of a GIS built-in ultrahigh frequency sensor optimization method according to a third embodiment of the present invention.
Fig. 11 is a reference antenna model of a GIS built-in ultrahigh frequency sensor optimization method according to a third embodiment of the present invention.
Fig. 12 is a diagram showing the effective height contrast of monopole antennas of a GIS built-in ultrahigh frequency sensor optimization method according to a third embodiment of the present invention.
Fig. 13 is an equivalent height of a GIS built-in ultrahigh frequency sensor optimizing method according to a third embodiment of the present invention under different disc diameters.
Fig. 14 is an equivalent height of the GIS built-in ultrahigh frequency sensor optimizing method according to the third embodiment of the present invention under different dielectric constants.
Fig. 15 shows effective heights of different numbers of shorting pins in the optimization method of the GIS built-in ultrahigh frequency sensor according to the third embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Example 1
Referring to fig. 1 and 2, for a first embodiment of the present invention, the embodiment provides a method for optimizing a GIS built-in ultrahigh frequency sensor, including: collecting GIS equipment, partial discharge pulse current and sensor data, and establishing a circular microstrip antenna calculation model; calculating the effective radius of the circular microstrip antenna; comparing the physical radius with the effective radius of the circular microstrip antenna, and obtaining a comparison result; based on the comparison result, the sensor is optimized.
Step one, establishing a circular microstrip antenna calculation model comprises collecting GIS equipment, partial discharge pulse current and sensor data, wherein the sensor generally adopts a sensor with a built-in disc, and the distance between a planar disc and a grounding plate of the sensor with the built-in disc is far smaller than the diameter of the disc. Therefore, the space between the disc and the grounding plate can be regarded as a leaky wave cavity with an electric wall up and down and a magnetic wall around, and the sensor is equivalent to a circular microstrip antenna. And acquiring distance information between the circular microstrip antenna and the grounding plate and physical radius of the circular microstrip antenna. As shown in fig. 2.
And step two, calculating the effective radius of the circular microstrip antenna.
The radius of a circular microstrip antenna is defined as a.
According to cavity mode theory, the eigenfunctions and eigenequations of the electromagnetic field in the cavity formed between the circular patch and the grounding plate are as follows:
J′ m (k mn a)＝0
wherein, psi is mn The eigenvalue of the electromagnetic field in the cavity is formed between the circular patch and the grounding plate, ρ is the radial distance from the center of the circular microstrip antenna to any point, J' m (x) For the first class of m-order Bessel functions J m (x) And m is the azimuth angle of the field edgeN represents the number of changes of the field in the radial direction, k represents the wave number, k is determined by the boundary condition, and the electric field and the magnetic field in the leaky cavity are both related to the vector potential.
The calculation formula of the mode resonance frequency of the circular microstrip antenna can be obtained by the method:
in the formula, χ' mn Derivative J of the first class of m-order Bessel functions m The nth zero point of' (x); epsilon r The relative dielectric constant of the dielectric layer; a, a e For the effective radius of a circular microstrip antenna, c represents the amount of charge: round microstrip antennaThe effective radius of the wire is related to the physical radius a as:
wherein h is the height of the dielectric layer.
It is known that the resonant frequency of a circular microstrip antenna is mainly determined by the size of the patch and the dielectric constant ε of the dielectric layer r And (5) determining. The larger the circular patch size or the higher the dielectric constant of the dielectric layer, the lower the resonant frequency of the antenna and the lower the resonant frequency the higher the sensitivity.
And step three, comparing the physical radius and the effective radius of the circular microstrip antenna, and obtaining a comparison result.
The difference between the physical radius and the effective radius of the circular microstrip antenna is calculated and compared with a sensitivity threshold (or resonant frequency threshold).
And step four, optimizing the sensor based on the comparison result.
If the difference is smaller than the sensitivity threshold, which means that optimization is not needed, if the difference is larger than the sensitivity threshold, the resonance frequency is reduced by replacing the sensor with a larger disc (i.e. increasing the size of the circular patch) or reducing the distance between the planar disc and the grounding plate of the sensor (i.e. increasing the dielectric constant), so that the sensitivity of the sensor is improved, the difference is more similar to the sensitivity threshold, and the performance of the sensor is fully exerted, so that the performance requirement of the sensor is met when partial discharge generated by the gas insulated switchgear GIS is detected.
Example 2
Referring to fig. 3, in a second embodiment of the present invention, which is different from the previous embodiment, there is provided a GIS built-in uhf sensor optimizing system, including: the system comprises a data acquisition module, a model establishment module, a calculation module, a comparison analysis module and an optimization module.
The data acquisition module is responsible for collecting all required raw data, including GIS equipment data, partial discharge pulse current data and sensor data.
The model building module is responsible for building a calculation model of the circular microstrip antenna based on the collected data, and building a proper model according to the data collected by the data collection module so as to be convenient for analysis and optimization.
The calculation module is responsible for calculating related parameters, the effective radius and the physical radius of the circular microstrip antenna, and the mode resonance frequency calculated based on cavity mode theory.
The comparison analysis module is responsible for comparing and analyzing the calculation results, comparing the physical radius and the effective radius of the circular microstrip antenna, and obtaining the comparison result.
And the optimization module is responsible for optimizing the sensor according to the comparison and analysis results.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Example 3
Referring to fig. 4 to 15, a third embodiment of the present invention is shown, which is different from the first two embodiments in that: the technical effects adopted in the invention are verified and explained to verify the true effects of the method.
The geometry of the UHF sensor is shown in fig. 4. The diameter of the disc is 150mm; the dielectric layer is made of epoxy resin, the relative magnetic permeability and the relative dielectric constant of the dielectric layer are respectively 1.0 and 3.8, and the thickness of the dielectric layer is 15mm; 6 short-circuit columns with the diameter of 5mm are uniformly loaded along the circumference at the position 60mm away from the feed point between the disc and the grounding plate; the disc was covered with epoxy resin to a thickness of 10 mm.
Step one, diameter of a disc.
To verify the effect of the sensor receiving disc radius on the sensor S11 parameters, the sensor receiving disc diameters were set to 110mm, 130mm, 150mm and 170mm, respectively, with the other parameters unchanged.
As can be seen from fig. 5, as the diameter of the receiving disc increases, the resonant frequency gradually decreases, so that the diameter of the receiving disc of the sensor needs to be selected according to the frequency band requirement of the partial discharge detection and the flange mounting size in the GIS. The partial discharge detection in the GIS mainly considers the components with the frequency band ranging from 300MHz to 1.5GHz, and the main frequency band is generally around 700MHz, so that the whole S11 curve is smaller when the diameter of the receiving disc is ranging from 130mm to 150mm, and the sensor performance is better.
And step two, dielectric constant.
In order to analyze the influence of the dielectric constant of the sensor dielectric layer on the parameters and the sensor S11, the relative dielectric constants of the sensor dielectric layers are set to be 2, 3, 4 and 5 respectively, and other parameters are kept unchanged.
As can be seen from fig. 6, the resonance frequency gradually decreases with an increase in the dielectric constant; when the dielectric constant is greater than 3, as the dielectric constant increases, the lowest resonant frequency increases corresponding to S11, so the dielectric constant of the medium needs to be selected according to the frequency band requirement of partial discharge detection. When the dielectric constant is too low, the dielectric constant is too large in the low frequency band S11; when the dielectric constant is too high, S11 is increased as well. It can be seen that the S11 curve is smaller overall at a dielectric constant near 4, indicating that the sensor performance is better at this time.
And thirdly, short-circuiting the number of pins.
In order to study the influence of the number of short-circuit needles on the performance of the sensor, r is set to be 60mm, and when n is 2, 4, 6 and 8, the return loss curve of the sensor is calculated in a simulation mode and is compared with that of the unloaded short-circuit needles. Fig. 7 shows a different distribution of shorting pins.
As can be seen from FIG. 8, the number of shorting pins has a large effect on sensor performance. When the shorting pin is not loaded, the resonant frequency of the sensor is 1475MHz. After loading 2 shorting pins, the sensor has two frequency bands with return loss less than-6 dB. As n increases, the center frequency of the lower frequency band begins to rise, and the center frequency of the higher frequency band begins to rise and then fall. When n is 6, the two resonant frequency bands of the sensor start to intersect; when n reaches 8, the two frequency bands substantially coincide. When n is 6, the sensor has a wider operating band and f of the sensor is compared with the unloaded shorting post L The sensor is miniaturized by reducing the frequency from 1410MHz to 950 MHz.
And step four, effective height.
The transfer function (i.e., frequency domain characteristic) of the reference antenna may be represented by an effective height. Effective height H of UHF sensor e Defined as the sensor output voltage V 0 Divided by normal incidence electric field E r 。
H e In mm, the output voltage signal takes into account losses due to impedance variations when measuring the effective height, which is thus essentially an amplitude-frequency response function.
The effective height may be measured using a GTEM cell. A transient solver of CST Microwave Studio software was used to simulate electromagnetic wave propagation within GTEM, and the solver solved maxwell's equations in integrated form using the Finite Integration Technique (FIT).
For GTEM simulation, some simplification of geometry was made: the upper half of the GTEM cell is represented as a pair of tapered planar conductors. The originally present spacer wire is replaced by a planar conductor. The sidewalls of the GTEM are not included in the model. The 1 m long conical part of the input end of the model unit is removed, so that the simulation of fine mechanical details at the input end is avoided. Neglecting the lateral gradation of the cell, a fixed width of 100 cm was used [8-10].
The equivalent model of the built GTEM cell is shown in FIG. 9, the length of the y direction is 200cm, the width of the z direction is 50cm, the length of the y direction of the bottom inclined conductor is 6 times the height of the z direction, the coordinates of the output end of the sensor are (50,50,25) cm, and the distance from the bottom inclined conductor is 25cm.
Excitation is performed using gaussian pulses with a frequency in the range of 0-3000MHz, as shown in fig. 10. The time domain form of the gaussian current pulse is:
wherein I is 0 For pulse peak value, σ is decay time constant, pulse width is determined, t 0 Is a delay time constant.
First, a frequency domain effective height calibration is performed for a reference antenna whose transfer function is known, as shown in fig. 11. The electric field intensity E (t) at the place where the antenna is placed is detected with an electric field intensity point probe. The output end of the reference antenna is connected with a 50Ω resistor, and the voltage on the resistor is collected.
From fig. 12, it can be seen that the result of the effective height simulation of the monopole antenna substantially coincides with the theoretical value, so that the correctness of the GTEM cell simulation model is verified.
And fifthly, influencing the diameter of the disc.
As can be seen in fig. 13, the frequency point at which the highest equivalent height is located gradually decreases as the diameter of the receiving disc increases. In addition, it can be seen from the figure that when the diameter of the receiving disc is high, the center detection frequency band is lower than 500MHz and the highest equivalent height is large, but at this time, the equivalent heights in the middle frequency band and the high frequency band are low. Therefore, considering S11 and the effective height comprehensively, the diameter range of the disc should be selected to be 130 mm-150 mm.
And step six, influence of dielectric constants.
As can be seen from fig. 14, as the relative dielectric constant increases, the equivalent height of the sensor as a whole increases; when the dielectric constant is too high, the equivalent height in the middle frequency band and the high frequency band is low. Therefore, considering S11 and the effective height together, the dielectric constant is preferably selected to be between 3 and 4.
And step seven, influencing the number of short-circuit needles.
As can be seen from fig. 15, the effective height of the low frequency band is large when the shorting pins are 0 and 2, but the effective height is small in the range of 300 to 1500MHz where the ultra-high frequency is located. When n is more than or equal to 4, the effective height is reduced along with the increase of the short-circuit needle. Thus, considering S11 and the effective height in combination, the number of shorting pins of the sensor is set to 6.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
- The optimization method of the built-in ultrahigh frequency sensor of the GIS is characterized by comprising the following steps of: comprising the steps of (a) a step of,collecting GIS equipment, partial discharge pulse current and sensor data, and establishing a circular microstrip antenna calculation model;calculating the effective radius of the circular microstrip antenna;comparing the physical radius with the effective radius of the circular microstrip antenna, and obtaining a comparison result;based on the comparison result, the sensor is optimized.
- 2. The optimization method of the built-in ultrahigh frequency sensor of the GIS of claim 1, wherein the optimization method is characterized by comprising the following steps: the circular microstrip antenna calculation model comprises that a sensor with a built-in disc is adopted as the sensor, the distance between a plane disc and a grounding plate of the sensor with the built-in disc is far smaller than the diameter of the disc, the space between the disc and the grounding plate is regarded as a leaky wave cavity with an electric wall up and down and a magnetic wall around, the sensor is equivalent to a circular microstrip antenna, and distance information between the circular microstrip antenna and the grounding plate and the physical radius of the circular microstrip antenna are acquired.
- 3. The optimization method of the built-in ultrahigh frequency sensor of the GIS as claimed in claim 2, wherein the optimization method is characterized by comprising the following steps: the effective radius of the circular microstrip antenna comprises that the radius of the circular microstrip antenna is defined as a, and according to the cavity mode theory, the eigenfunctions and eigenequations of the electromagnetic field in the cavity formed between the circular patch and the grounding plate are expressed as,J′ m (k mn a)＝0wherein, psi is mn The eigenvalue of the electromagnetic field in the cavity is formed between the circular patch and the grounding plate, ρ is the radial distance from the center of the circular microstrip antenna to any point, J' m (x) For the first class of m-order Bessel functions J m (x) And m is the azimuth angle of the field edgeN represents the number of changes in the radial direction of the field, and k represents the wave number;therefore, a circular microstrip antenna mode resonance frequency calculation formula can be obtained.
- 4. The optimization method of the built-in ultrahigh frequency sensor of the GIS of claim 3, wherein the optimization method comprises the following steps: the circular microstrip antenna mode resonant frequency calculation formula is expressed as,wherein, χ' mn Derivative J of the first class of m-order Bessel functions m The nth zero point, ε of' (x) r A is the relative dielectric constant of the dielectric layer e Is the effective radius of a circular microstrip antenna, c represents the amount of charge.
- 5. The optimization method of the built-in ultrahigh frequency sensor of the GIS of claim 4, wherein the optimization method is characterized by comprising the following steps: the effective radius of the circular microstrip antenna further comprises that the relation between the effective radius of the circular microstrip antenna and the physical radius a is expressed as,wherein h is the height of the dielectric layer;the resonant frequency of the circular microstrip antenna is determined by the size of the patch and the dielectric constant epsilon of the dielectric layer r And (5) determining.
- 6. The optimization method of the built-in ultrahigh frequency sensor of the GIS, as claimed in claim 5, is characterized in that: the comparison result includes calculating a difference between the physical radius and the effective radius of the circular microstrip antenna and comparing the difference with a sensitivity threshold.
- 7. The optimization method of the built-in ultrahigh frequency sensor of the GIS, as claimed in claim 6, is characterized in that: the optimization comprises the steps that if the difference value is smaller than the sensitivity threshold value, optimization is not needed, and if the difference value is larger than the sensitivity threshold value, the sensor of the larger disc is replaced, or the distance between the plane disc of the sensor and the grounding plate is reduced, the resonance frequency is reduced, the sensitivity of the sensor is improved, and the performance requirement of the sensor when partial discharge generated by the gas insulated switchgear GIS is detected is met.
- 8. A system employing the optimization method of the GIS built-in ultrahigh frequency sensor according to any one of claims 1 to 7, wherein: the system comprises a data acquisition module, a model building module, a calculation module, a comparison analysis module and an optimization module;the data acquisition module is responsible for collecting all required original data, including GIS equipment data, partial discharge pulse current data and sensor data;the model building module is responsible for building a calculation model of the circular microstrip antenna based on the collected data, and building a proper model according to the data collected by the data collection module so as to be convenient for analysis and optimization;the calculation module is responsible for calculating related parameters, the effective radius and the physical radius of the circular microstrip antenna and the mode resonance frequency calculated based on cavity mode theory;the comparison analysis module is responsible for comparing and analyzing the calculation results, comparing the physical radius and the effective radius of the circular microstrip antenna, and obtaining the comparison result;and the optimization module is responsible for optimizing the sensor according to the comparison and analysis results.
- 9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that: the steps of the optimization method of the GIS built-in ultrahigh frequency sensor according to any one of claims 1 to 7 are realized when the processor executes the computer program.
- 10. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program, when executed by a processor, implements the steps of the GIS built-in uhf sensor optimization method of any one of claims 1 to 7.
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