CN116484270A - Partial discharge identification method and related device - Google Patents
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Abstract
The application discloses a partial discharge identification method and a related device, wherein the method comprises the following steps: carrying out digital twin modeling on GIS equipment to be identified to obtain a GIS model; when the partial discharge detection system detects a partial discharge signal, the partial discharge signal is assumed to be positioned in the GIS model, and the partial discharge source is positioned by a time difference positioning method to determine the position of the partial discharge source in the GIS model; disposing a plurality of sensors on the surface of the GIS model based on the position, and positioning the partial discharge source by a time difference positioning method to obtain a plurality of positioning results of the partial discharge source; determining the center points of a plurality of positioning results, calculating the distance value between the center points and each positioning result and the average distance value, and thus calculating the variance; and comparing and analyzing according to the variance and a preset threshold value, and determining that the partial discharge signal is inside or outside the GIS equipment according to the comparison result, thereby solving the problem that the discharge point cannot be accurately positioned in the prior art.
Description
Technical Field
The present disclosure relates to the field of power technologies, and in particular, to a partial discharge identification method and a related device.
Background
The gas-insulated switchgear (Gas Insulated Switchgear, GIS) is used as the main equipment of the urban power grid, and plays a vital role in the power supply reliability of the power grid. The GIS equipment is produced and manufactured and the potential defect of insulation is possibly left in engineering construction, and with the increase of the operation period, the insulation defects can develop into dangerous discharge channels, so that GIS breakdown faults can be possibly caused, accidents are caused, and economic losses and personal casualties are caused.
Although the ultrahigh frequency method is widely applied to on-line monitoring of partial discharge of GIS equipment, accurate judgment of whether the discharge exists or not can be realized at present, because the GIS is of a metal closed structure, partial discharge signals can be detected only at positions such as a flange, a pouring hole and the like of a nonmetal shield, and the partial discharge signals are influenced by the internal structure and external interference of the GIS, whether the discharge is from the inside of the GIS can not be reliably distinguished, and only the approximate area of the discharge can be judged, so that accurate positioning of discharge points can not be performed. When the GIS external partial discharge signal is received by the GIS ultrahigh frequency sensor, false alarm can be caused to the online monitoring system, so that when the GIS partial discharge is judged, whether the signal source comes from the inside or the outside of the GIS is needed to be judged, and then the next diagnosis is carried out.
Disclosure of Invention
The application provides a partial discharge identification method and a related device, which are used for solving the problem that the prior art cannot accurately position a discharge point.
In view of this, a first aspect of the present application provides a partial discharge identification method, the method comprising:
carrying out digital twin modeling on GIS equipment to be identified to obtain the GIS equipment with the following characteristics: three-dimensional display, space distance calculation, internal propagation path calculation and GIS model with internal signal attenuation calculation function;
when the partial discharge detection system detects a partial discharge signal, the partial discharge signal is assumed to be positioned in the GIS model, and the partial discharge source is positioned by a time difference positioning method to determine the position of the partial discharge source in the GIS model;
disposing a plurality of sensors on the surface of the GIS model based on the position, and positioning the partial discharge source by a time difference positioning method to obtain a plurality of positioning results of the partial discharge source;
determining the center points of a plurality of positioning results, and calculating the distance value between the center points and each positioning result and the average distance value, thereby calculating the variance;
and comparing and analyzing the variance with a preset threshold value, and determining that the partial discharge signal is inside or outside the GIS equipment according to a comparison result.
Optionally, the positioning the partial discharge source by using the time difference positioning method, and determining the position of the partial discharge source in the GIS model specifically includes:
with distance between any two sensorsLThe difference between the arrival times of the partial discharge signal at the two sensors isΔtAnd setting the distance between the partial discharge signal and the sensor which is closer to the partial discharge signal asxThereby constructing a position calculation formula of the partial discharge source, and determining the position of the partial discharge source in the GIS model through the position calculation formula;
the position calculation formula is as follows:
；
in the method, in the process of the invention,Δtfor the difference in arrival times of the partial discharge signal at the two sensors,t 2 andt 1 for the arrival time of the partial discharge signal at both sensors, c is the speed of light,Lfor the distance between any two sensors,xthe distance of the partial discharge signal from the closer sensor.
Optionally, determining a center point of a plurality of positioning results, and calculating a distance value between the center point and each positioning result and an average distance value, thereby calculating a variance, including:
when 3 sensors are deployed on the surface of the GIS model, a positioning result of the local discharge source is obtaineda 1 、a 2 、a 3 ；
Based on the positioning resulta 1 、a 2 、a 3 Determining a center point e and calculating the center point e to a positioning resulta 1 、a 2 、a 3 Distance value of (2)d 1 、d 2 、d 3 And calculating the distanced 1 、d 2 、d 3 Average distance value of (2)d 4 Thereby calculating a variance according to the variance formula;
wherein, the variance formula is:
；
in the method, in the process of the invention,is the variance.
Optionally, the comparing and analyzing are performed according to the variance and a preset threshold, and determining that the partial discharge signal is inside or outside the GIS device according to a comparison result specifically includes:
and when the variance is larger than a preset threshold value, judging that the partial discharge signal is outside the GIS equipment, otherwise, judging that the partial discharge signal is inside the GIS equipment.
A second aspect of the present application provides a partial discharge identification system, the system comprising:
the modeling unit is used for carrying out digital twin modeling on the GIS equipment to be identified to obtain the GIS equipment with the following characteristics: three-dimensional display, space distance calculation, internal propagation path calculation and GIS model with internal signal attenuation calculation function;
the first positioning unit is used for assuming that the partial discharge signal is positioned in the GIS model when the partial discharge detection system detects the partial discharge signal, positioning the partial discharge source through a time difference positioning method and determining the position of the partial discharge source in the GIS model;
the second positioning unit is used for positioning the partial discharge source by a time difference positioning method based on the position to obtain a plurality of positioning results of the partial discharge source;
the calculating unit is used for determining center points of a plurality of positioning results, calculating distance values from the center points to the positioning results and average distance values, and calculating variances;
and the identification unit is used for comparing and analyzing the variance with a preset threshold value and determining that the partial discharge signal is inside or outside the GIS equipment according to a comparison result.
Optionally, the first positioning unit is specifically configured to:
when the partial discharge detection system detects a partial discharge signal, the partial discharge signal is assumed to be positioned in the GIS model, and the distance between any two sensors is setLThe difference between the arrival times of the partial discharge signal at the two sensors isΔtAnd setting the distance between the partial discharge signal and the sensor which is closer to the partial discharge signal asxThereby constructing a position calculation formula of the partial discharge source, and determining the position of the partial discharge source in the GIS model through the position calculation formula;
the position calculation formula is as follows:
；
in the method, in the process of the invention,Δtfor the difference in arrival times of the partial discharge signal at the two sensors,t 2 andt 1 for the arrival time of the partial discharge signal at both sensors, c is the speed of light,Lfor the distance between any two sensors,xthe distance of the partial discharge signal from the closer sensor.
Optionally, the second positioning unit is specifically configured to:
based on the position, 3 sensors are deployed on the surface of the GIS model, and the partial discharge source is positioned by a time difference positioning method to obtain a positioning result of the partial discharge sourcea 1 、a 2 、a 3 ；
Based on the positioning resulta 1 、a 2 、a 3 Determining a center point e and calculating the center point e to a positioning resulta 1 、a 2 、a 3 Distance value of (2)d 1 、d 2 、d 3 And calculating the distanced 1 、d 2 、d 3 Average distance value of (2)d 4 Thereby calculating a variance according to the variance formula;
wherein, the variance formula is:
；
in the method, in the process of the invention,is the variance.
Optionally, the identifying unit is specifically configured to:
and when the variance is larger than a preset threshold value, judging that the partial discharge signal is outside the GIS equipment, otherwise, judging that the partial discharge signal is inside the GIS equipment.
A third aspect of the present application provides a partial discharge identification apparatus, the apparatus comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the steps of the partial discharge identification method according to the first aspect described above according to instructions in the program code.
A fourth aspect of the present application provides a computer readable storage medium for storing program code for performing the partial discharge identification method according to the first aspect described above.
From the above technical scheme, the application has the following advantages:
the application provides a partial discharge identification method, which comprises the following steps: carrying out digital twin modeling on GIS equipment to be identified to obtain the GIS equipment with the following characteristics: three-dimensional display, space distance calculation, internal propagation path calculation and GIS model with internal signal attenuation calculation function; when the partial discharge detection system detects a partial discharge signal, the partial discharge signal is assumed to be positioned in the GIS model, and the partial discharge source is positioned by a time difference positioning method to determine the position of the partial discharge source in the GIS model; disposing a plurality of sensors on the surface of the GIS model based on the position, and positioning the partial discharge source by a time difference positioning method to obtain a plurality of positioning results of the partial discharge source; determining the center points of a plurality of positioning results, calculating the distance value between the center points and each positioning result and the average distance value, and thus calculating the variance; and comparing and analyzing the variance with a preset threshold value, and determining that the partial discharge signal is inside or outside the GIS equipment according to the comparison result.
The method is based on the external partial discharge identification of the GIS ultrahigh frequency partial discharge digital twin model, the position of a partial discharge source is calculated through different sensors by an arrival time difference method, the variance is calculated on a plurality of positioning results, the method is compared with a set threshold result, and if the result is smaller than the threshold, the partial discharge signal is judged to come from the inside of the GIS; if the partial discharge signal is larger than the GIS, judging that the partial discharge signal is from the outside of the GIS. Therefore, a complete GIS digital model is built, accurate identification of external partial discharge is realized, and the problem that the discharge point cannot be accurately positioned in the prior art is solved.
Drawings
Fig. 1 is a schematic flow chart of a partial discharge identification method provided in an embodiment of the present application;
fig. 2 is a schematic diagram of time difference positioning according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a partial discharge identification system according to an embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Referring to fig. 1, a partial discharge identification method provided in an embodiment of the present application includes:
step 101, digital twin modeling is carried out on GIS equipment to be identified, and the GIS equipment with the functions of: three-dimensional display, space distance calculation, internal propagation path calculation and GIS model with internal signal attenuation calculation function;
it should be noted that, the typical interval of each GIS model of each manufacturer is digitally modeled. After modeling, the GIS model exists in a digital form, so that the GIS model has the basis of three-dimensional display, space distance calculation, internal propagation path calculation and internal signal attenuation calculation.
The GIS digital twin model can provide the following information for the detection software:
the component type of any position of the GIS;
linear distance between any two positions of the GIS;
the distance between any two positions of the GIS along the interior of the GIS pipeline is infinite if the two positions are not communicated;
attenuation dB value of the ultrahigh frequency electromagnetic wave transmitted along the pipeline between any two positions of the GIS;
and the time required for the electromagnetic wave emitted by any position of the GIS to reach another arbitrary position.
Furthermore, it should be noted that, in practical application, sensor deployment guidance is also required; specifically, a preset mode is adopted, and according to GIS characteristics of different manufacturers and models, reasonable positions of sensor arrangement are preset and stored in a software database together with corresponding digital twin models.
102, when a partial discharge detection system detects a partial discharge signal, assuming that the partial discharge signal is positioned in a GIS model, positioning the partial discharge source by a time difference positioning method, and determining the position of the partial discharge source in the GIS model;
when the partial discharge detection system detects the partial discharge signal, it is first assumed that the partial discharge signal is located inside the GIS, and the time difference positioning method positions the partial discharge source to determine the position of the partial discharge source in the GIS.
It can be understood that the position of the discharge source inside the GIS is positioned by using a time difference positioning method. The transmission speed of electromagnetic waves in the GIS is that the light speed c=3×108 m/s, and the positioning accuracy can reach 30cm if the time difference is 1ns when the radial size of the GIS is ignored.
Fig. 2 is a schematic diagram of time difference positioning. Distance between any two sensorsLThe difference between the arrival times of the partial discharge pulse signals detected by the device to reach the two sensors isΔtAnd the distance between the signal and the sensor which is closer is set asxThe partial discharge source position can be solved using the following formula:
；
the digital twin model contains the distance between any two currently arranged sensors along the GIS pipeline. Combining with the arrival time of the partial discharge pulse of the hardware verification of the instrument, the software can calculate the positioning result of the discharge source in real time and display the result on the GIS digital twin model in real time.
Step 103, deploying a plurality of sensors on the surface of the GIS model based on the position, and positioning the partial discharge source by a time difference positioning method to obtain a plurality of positioning results of the partial discharge source;
it should be noted that, calculating the positioning result between the partial discharge source and each sensor (calculating the positioning result of the partial discharge source at each sensor), calculating the variance according to the positioning result, and comparing with the set threshold; firstly, three sensors are deployed on the surface of a GIS, an intelligent sensor deployment guide technology is adopted in a deployment mode, the three sensors are combined in a mode of two by two, a time difference positioning method is continuously used, a local discharge source is detected, 3 positioning results of the local discharge source are obtained, and the positioning results are respectivelya 1 Coordinates [x 1 ,y 1 ,z 1 ]；a 2 Coordinates [x 2 ,y 2 ,z 2 ]；a 3 Coordinates [x 3 ,y 3 ,z 3 ]。
104, determining the center points of a plurality of positioning results, and calculating the distance value between the center points and each positioning result and the average distance value, thereby calculating the variance;
it should be noted that the center point positions of the three positioning results according to step 103 are set as，/>The position of (2) isI.e. [>，/>，/>]Calculate->Distance to different positioning results;
to->The distance formula of the point is:>；
to->The distance formula of the point is:>；
to->The distance formula of the point is:>；
thereby can be obtained，/>Is->To->、/>And->Average distance of distance>Then calculate +.>And->、/>And->According to the variance formula->Obtain->。
And 105, comparing and analyzing the variance with a preset threshold value, and determining that the partial discharge signal is inside or outside the GIS equipment according to the comparison result.
If the threshold value Dh is setAnd if the signal is larger than Dh, judging that the partial discharge signal is from the outside of the GIS.
When four or more sensors are arranged and the partial discharge source is positioned at the same time, the variance of a plurality of positioning results is calculated according to the method, and compared with a threshold Dh, if the variance is larger than the threshold Dh, the partial discharge signal is judged to come from the outside of the GIS.
According to the partial discharge identification method provided by the embodiment, based on the external partial discharge identification of the GIS ultrahigh frequency partial discharge digital twin model, the position of a partial discharge source is calculated through different sensors by an arrival time difference method, the variance is calculated through a plurality of positioning results, the partial discharge source is compared with a set threshold result, and if the partial discharge signal is smaller than the threshold, the partial discharge signal is judged to come from the inside of the GIS; if the partial discharge signal is larger than the GIS, judging that the partial discharge signal is from the outside of the GIS. Further, in the sensor deployment process, an intelligent sensor deployment guide technology is adopted, and the suggested sensor deployment position is automatically given out by judging the current sensor deployment position and the signal position, so that the flow of live detection is controllable. Meanwhile, the detection data is also automatically associated with the position of the sensor, so that the detection data is conveniently compared with the historical detection data, and the degree of the risk of partial discharge is judged by calculating the trend of signal development.
The foregoing is a partial discharge identification method provided in the embodiments of the present application, and the following is a partial discharge identification system provided in the embodiments of the present application.
Referring to fig. 2, a partial discharge identification system provided in an embodiment of the present application includes:
the modeling unit 201 is configured to perform digital twin modeling on a GIS device to be identified, so as to obtain a device having: three-dimensional display, space distance calculation, internal propagation path calculation and GIS model with internal signal attenuation calculation function;
the first positioning unit 202 is configured to, when the partial discharge detection system detects a partial discharge signal, assume that the partial discharge signal is located inside the GIS model, position the partial discharge source by using a time difference positioning method, and determine a position of the partial discharge source in the GIS model;
the second positioning unit 203 deploys a plurality of sensors on the surface of the GIS model based on the position, and positions the partial discharge source by a time difference positioning method to obtain a plurality of positioning results of the partial discharge source;
a calculating unit 204, configured to determine center points of a plurality of positioning results, calculate distance values from the center points to the positioning results, and average distance values, thereby calculating variances;
the identifying unit 205 is configured to perform a comparison analysis according to the variance and a preset threshold, and determine that the partial discharge signal is inside or outside the GIS device according to the comparison result.
Further, in an embodiment of the present application, there is also provided a partial discharge identifying apparatus, including a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the steps of the partial discharge identification method according to the method embodiment according to the instructions in the program code.
Further, in the embodiments of the present application, there is also provided a computer readable storage medium for storing a program code for executing the partial discharge identification method described in the above method embodiments.
It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working procedures of the above-described system and unit may refer to the corresponding procedures in the foregoing method embodiments, which are not repeated here.
The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be capable of operation in sequences other than those illustrated or described herein, for example. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in this application, "at least one" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
The above embodiments are merely for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. A partial discharge identification method, comprising:
carrying out digital twin modeling on GIS equipment to be identified to obtain the GIS equipment with the following characteristics: three-dimensional display, space distance calculation, internal propagation path calculation and GIS model with internal signal attenuation calculation function;
when the partial discharge detection system detects a partial discharge signal, the partial discharge signal is assumed to be positioned in the GIS model, and the partial discharge source is positioned by a time difference positioning method to determine the position of the partial discharge source in the GIS model;
disposing a plurality of sensors on the surface of the GIS model based on the position, and positioning the partial discharge source by a time difference positioning method to obtain a plurality of positioning results of the partial discharge source;
determining the center points of a plurality of positioning results, and calculating the distance value between the center points and each positioning result and the average distance value, thereby calculating the variance;
and comparing and analyzing the variance with a preset threshold value, and determining that the partial discharge signal is inside or outside the GIS equipment according to a comparison result.
2. The partial discharge identification method according to claim 1, wherein the positioning of the partial discharge source by the time difference positioning method, the determining the position of the partial discharge source in the GIS model, specifically comprises:
with distance between any two sensorsLThe difference between the arrival times of the partial discharge signal at the two sensors isΔtAnd setting the distance between the partial discharge signal and the sensor which is closer to the partial discharge signal asxThereby constructing a position calculation formula of the partial discharge source, and determining the position of the partial discharge source in the GIS model through the position calculation formula;
the position calculation formula is as follows:
；
in the method, in the process of the invention,Δtfor the difference in arrival times of the partial discharge signal at the two sensors,t 2 andt 1 for the arrival time of the partial discharge signal at both sensors, c is the speed of light,Lfor the distance between any two sensors,xthe distance of the partial discharge signal from the closer sensor.
3. The partial discharge identification method according to claim 1, wherein the determining the center point of the plurality of positioning results, calculating the distance value from the center point to each positioning result, and the average distance value, thereby calculating the variance, specifically comprises:
when 3 sensors are deployed on the surface of the GIS model, a positioning result of the local discharge source is obtaineda 1 、a 2 、a 3 ；
Based on the positioning resulta 1 、a 2 、a 3 Determining a center point e and calculating the center point e to a positioning resulta 1 、a 2 、a 3 Distance value of (2)d 1 、d 2 、d 3 And calculating the distanced 1 、d 2 、d 3 Average distance value of (2)d 4 Thereby calculating a variance according to the variance formula;
wherein, the variance formula is:
；
in the method, in the process of the invention,is the variance.
4. The partial discharge identification method according to claim 1, wherein the comparing and analyzing are performed according to the variance and a preset threshold, and determining that the partial discharge signal is inside or outside the GIS device according to a comparison result specifically includes:
and when the variance is larger than a preset threshold value, judging that the partial discharge signal is outside the GIS equipment, otherwise, judging that the partial discharge signal is inside the GIS equipment.
5. A partial discharge identification system, comprising:
the modeling unit is used for carrying out digital twin modeling on the GIS equipment to be identified to obtain the GIS equipment with the following characteristics: three-dimensional display, space distance calculation, internal propagation path calculation and GIS model with internal signal attenuation calculation function;
the first positioning unit is used for assuming that the partial discharge signal is positioned in the GIS model when the partial discharge detection system detects the partial discharge signal, positioning the partial discharge source through a time difference positioning method and determining the position of the partial discharge source in the GIS model;
the second positioning unit is used for positioning the partial discharge source by a time difference positioning method based on the position to obtain a plurality of positioning results of the partial discharge source;
the calculating unit is used for determining center points of a plurality of positioning results, calculating distance values from the center points to the positioning results and average distance values, and calculating variances;
and the identification unit is used for comparing and analyzing the variance with a preset threshold value and determining that the partial discharge signal is inside or outside the GIS equipment according to a comparison result.
6. The partial discharge identification system of claim 5, wherein the first positioning unit is specifically configured to:
when the partial discharge detection system detects a partial discharge signal, the partial discharge signal is assumed to be positioned in the GIS model, and the distance between any two sensors is setLThe difference between the arrival times of the partial discharge signal at the two sensors isΔtAnd setting the distance between the partial discharge signal and the sensor which is closer to the partial discharge signal asxThereby constructing a position calculation formula of the partial discharge source, and determining the position of the partial discharge source in the GIS model through the position calculation formula;
the position calculation formula is as follows:
；
in the method, in the process of the invention,Δtfor the difference in arrival times of the partial discharge signal at the two sensors,t 2 andt 1 for the arrival time of the partial discharge signal at both sensors, c is the speed of light,Lfor the distance between any two sensors,xthe distance of the partial discharge signal from the closer sensor.
7. The partial discharge identification system of claim 5, wherein the second positioning unit is specifically configured to:
based on the position, 3 sensors are deployed on the surface of the GIS model, and the partial discharge source is positioned by a time difference positioning method to obtain a positioning result of the partial discharge sourcea 1 、a 2 、a 3 ；
Based on the positioning resulta 1 、a 2 、a 3 Determining a center point e and calculating the center point e to a positioning resulta 1 、a 2 、a 3 Distance value of (2)d 1 、d 2 、d 3 And calculating the distanced 1 、d 2 、d 3 Average distance value of (2)d 4 Thereby calculating a variance according to the variance formula;
wherein, the variance formula is:
；
in the method, in the process of the invention,is the variance.
8. The partial discharge identification system according to claim 5, wherein the identification unit is specifically configured to:
and when the variance is larger than a preset threshold value, judging that the partial discharge signal is outside the GIS equipment, otherwise, judging that the partial discharge signal is inside the GIS equipment.
9. A partial discharge identification device, the device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the partial discharge identification method of any one of claims 1-4 according to instructions in the program code.
10. A computer readable storage medium, characterized in that the computer readable storage medium is for storing a program code for performing the partial discharge identification method according to any one of claims 1-4.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20050034217A (en) * | 2003-10-08 | 2005-04-14 | (주) 피에스디테크 | Discharge diagnostic system of gas insulation switchgea |
| JP2013044616A (en) * | 2011-08-23 | 2013-03-04 | Kyushu Institute Of Technology | Partial discharge position locating method and partial discharge position locating device |
| CN108802577A (en) * | 2018-04-19 | 2018-11-13 | 沈阳工程学院 | A kind of switch cabinet partial discharge measurement and positioning method |
| CN109932627A (en) * | 2019-04-30 | 2019-06-25 | 国网山东省电力公司烟台供电公司 | A kind of localization method and system of GIS pressure test shelf depreciation |
| CN111999620A (en) * | 2020-09-22 | 2020-11-27 | 珠海华网科技有限责任公司 | Multi-channel joint positioning method for partial discharge of power equipment |
-
2023
- 2023-06-25 CN CN202310746195.3A patent/CN116484270A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20050034217A (en) * | 2003-10-08 | 2005-04-14 | (주) 피에스디테크 | Discharge diagnostic system of gas insulation switchgea |
| JP2013044616A (en) * | 2011-08-23 | 2013-03-04 | Kyushu Institute Of Technology | Partial discharge position locating method and partial discharge position locating device |
| CN108802577A (en) * | 2018-04-19 | 2018-11-13 | 沈阳工程学院 | A kind of switch cabinet partial discharge measurement and positioning method |
| CN109932627A (en) * | 2019-04-30 | 2019-06-25 | 国网山东省电力公司烟台供电公司 | A kind of localization method and system of GIS pressure test shelf depreciation |
| CN111999620A (en) * | 2020-09-22 | 2020-11-27 | 珠海华网科技有限责任公司 | Multi-channel joint positioning method for partial discharge of power equipment |
Non-Patent Citations (3)
| Title |
|---|
| JUN JIANG ET AL.: "mproving the Error of Time Differences of Arrival on Partial Discharges Measurement in Gas-Insulated Switchgear", 《HTTPS://DOI.ORG/10.3390/S18114078》, pages 4078 * |
| 唐良 等: "大型变压器局部放电的声测定位及模糊聚类法的定位应用", 《电工技术学报》, no. 3, pages 43 - 48 * |
| 王淼 等: "基于模拟故障数据库的GIS局部放电反演方法", 《高电压技术》, vol. 48, no. 5, pages 1663 - 1673 * |
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