CN108548997B - Transformer substation space partial discharge positioning method and system - Google Patents

Transformer substation space partial discharge positioning method and system Download PDF

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CN108548997B
CN108548997B CN201810338375.7A CN201810338375A CN108548997B CN 108548997 B CN108548997 B CN 108548997B CN 201810338375 A CN201810338375 A CN 201810338375A CN 108548997 B CN108548997 B CN 108548997B
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partial discharge
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李臻
罗林根
周南
盛戈皞
钱勇
刘亚东
宋辉
江秀臣
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Shanghai Jiaotong University
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    • G01—MEASURING; TESTING
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Abstract

The invention discloses a transformer substation space partial discharge positioning method, which comprises the following steps: (1) selecting N in the tested areaMeasuring points, and constructing a matrix psi for simulating the probability distribution of the partial discharge signal intensity(m)(ii) a (2) When partial discharge actually occurs, q ultrahigh frequency sensors are adopted to collect partial discharge signals and obtain actually measured partial discharge intensity characteristic vectors
Figure DDA0001629894920000011
(3) And obtaining a positioning result E of the partial discharge based on a model formula. In addition, the invention also discloses a transformer substation space partial discharge positioning system, which comprises: q ultrahigh frequency sensors and a processing unit in data connection with the q ultrahigh frequency sensors. The transformer substation space partial discharge positioning method is rapid in positioning, is less affected by the space environment and the electromagnetic environment, reduces the difficulty of transformer substation partial discharge monitoring, improves the maintenance efficiency of power equipment faults, and further improves the intelligent level of transformer substation operation and maintenance.

Description

Transformer substation space partial discharge positioning method and system
Technical Field
The present invention relates to a positioning method and system, and more particularly, to a positioning method and system for partial discharge signals.
Background
The live detection of the power equipment is one of important means for finding the operation hidden trouble of the power equipment, and is also an important guarantee for the safe and stable operation of the power equipment. According to statistics, with the continuous improvement of the voltage grade of the power system in China, the insulation fault accounts for more than 50% of the faults of the power equipment. One important manifestation of a device insulation failure is the occurrence of partial discharges. The partial discharge not only manifests insulation deterioration, but also accelerates the degree of insulation deterioration, causes a vicious circle, and finally causes insulation breakdown, thereby causing a serious accident. The effective partial discharge detection and positioning technology can find insulation faults in time and perform accurate positioning, so that the overhauling speed and efficiency are increased, and the spreading of accidents is avoided. Therefore, the detection and positioning of the partial discharge become the key point of the charging detection work.
If each power equipment in the space of the substation total station is monitored and checked, the equipment cost and the labor cost can be greatly increased, and the monitoring efficiency is extremely low. The ultrahigh frequency partial discharge positioning technology of the space of the whole substation mainly comprises two types: time difference method and angle positioning method. The time difference method needs to sample signals at a very high sampling frequency, so that the method has high requirements on hardware and is difficult to implement; the angle positioning rule is easily affected by the space environment and the electromagnetic environment, and is difficult to accurately position in practical application.
Based on the above, it is desirable to obtain a partial discharge positioning method for a total station space of a transformer substation, where when a partial discharge occurs, the partial discharge positioning method is used for quickly positioning a fault device, so that the detection and positioning efficiency of the partial discharge is greatly improved, and the device and labor costs are significantly reduced. In addition, the partial discharge positioning method is less influenced by the space environment and the electromagnetic environment, the difficulty of monitoring the partial discharge of the transformer substation is reduced, the maintenance efficiency of the faults of the power equipment is improved, and the intelligent level of the operation and maintenance of the transformer substation is finally improved.
Disclosure of Invention
The invention aims to provide a transformer substation space partial discharge positioning method which is based on the constructed simulated partial discharge signal intensity probability distribution characteristics, then judges the probability of partial discharge in each area through a Bayesian probability method and finally realizes the space positioning of partial discharge through comprehensive analysis. The transformer substation space partial discharge positioning method is rapid in positioning, is less affected by the space environment and the electromagnetic environment, reduces the difficulty of transformer substation partial discharge monitoring, improves the maintenance efficiency of power equipment faults, and further improves the intelligent level of transformer substation operation and maintenance.
Based on the purpose, the invention provides a transformer substation space partial discharge positioning method, which comprises the following steps:
(1) selecting N measuring points in the measured area, and constructing a matrix psi simulating the intensity probability distribution of the partial discharge signal(m)；
(2) When partial discharge actually occurs, q ultrahigh frequency sensors are adopted to collect partial discharge signals and obtain actually measured partial discharge intensity characteristic vectors
Figure BDA0001629894900000021
(3) Obtaining a positioning result E of the partial discharge based on the following model formula:
Figure BDA0001629894900000022
Figure BDA0001629894900000023
Figure BDA0001629894900000024
Figure BDA0001629894900000025
Figure BDA0001629894900000026
Figure BDA0001629894900000027
Figure BDA0001629894900000028
Figure BDA0001629894900000029
wherein S iskIndicates the measurement point RPkK represents one of the N measurement points; snIndicates the measurement point RPnN-1, 2, … …, N; d represents rPDDimension of (d), mukAnd munRespectively represent the measurement points RPkAnd RPnPartial discharge signal intensity sample mean value of (C)kAnd CnIs a matrix of the covariance,
Figure BDA0001629894900000034
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)The vector of the k-th column in (a),
Figure BDA0001629894900000035
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)The vector of the nth column in (1).
Note that where T denotes the transpose of the vector, it is a common symbol in the art.
Further, in the method for positioning partial discharge in a space of a transformer substation, step (1) further includes the steps of:
recording the measuring point in the measured area as RPj(j ═ 1,2, … …, N), using an analog partial discharge source to discharge M times per measurement point, using q uhf sensors to measure the analog partial discharge signal intensity at each measurement point, and designating any uhf sensor as APi(i ═ 1,2,3,4 … …, q); if superfrequency sensor APiMeasured measurement point RPjThe simulated partial discharge intensity value of
Figure BDA0001629894900000033
Then the point RP is measuredjAnalog partial discharge intensity characteristic vector r of(m) jComprises the following steps:
Figure BDA0001629894900000031
wherein M represents the number of measurements, M is 1,2, …, M;
the simulated partial discharge intensity characteristic vectors of all the measurement points form a simulated partial discharge signal intensity probability distribution characteristic matrix Ψ of the measured area(m)：
Figure BDA0001629894900000032
Further, in the method for positioning partial discharge in space of a transformer substation, q ultrahigh frequency sensors are set as 4 ultrahigh frequency sensors.
Further, in the method for positioning partial discharge in a transformer substation space, the ultrahigh frequency sensor is an ultrahigh frequency wireless sensor.
In order to facilitate data transmission and transmission, an ultrahigh frequency wireless sensor is preferably used in the present application.
Correspondingly, the invention also aims to provide a transformer substation space partial discharge positioning system which is fast in positioning and less affected by space environment and electromagnetic environment, reduces the difficulty of transformer substation partial discharge monitoring, improves the maintenance efficiency of power equipment faults, and further improves the intelligent level of transformer substation operation and maintenance.
Based on the above purpose, the present invention further provides a transformer substation space partial discharge positioning system, including: q ultrahigh frequency sensors and a processing unit in data connection with the q ultrahigh frequency sensors; wherein:
the processing unit constructs a simulated partial discharge signal intensity probability distribution characteristic matrix psi based on the simulated partial discharge signals transmitted by the q ultrahigh frequency sensors(m)；
When partial discharge actually occurs, q ultrahigh frequency sensors are adopted to collect partial discharge signals, and the processing unit is based on the partial discharge signalsThe electric signal obtains the characteristic vector of the actually measured partial discharge intensity
Figure BDA0001629894900000041
The processing unit obtains a positioning result E of the partial discharge based on the following model formula:
Figure BDA0001629894900000042
Figure BDA0001629894900000043
Figure BDA0001629894900000044
Figure BDA0001629894900000045
Figure BDA0001629894900000046
Figure BDA0001629894900000047
Figure BDA0001629894900000048
Figure BDA0001629894900000049
wherein S iskIndicates the measurement point RPkK represents one of the N measurement points; snIndicates the measurement point RPnN-1, 2, … …, N; d represents rPDDimension of (d), mukAnd munRespectively represent the measurement points RPkAnd RPnPartial discharge signal intensity sample mean value of (C)kAnd CnIs a covariance matrixThe number of the arrays is determined,
Figure BDA0001629894900000054
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)The vector of the k-th column in (a),
Figure BDA0001629894900000055
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)The vector of the nth column in (1).
Further, in the substation space partial discharge positioning system of the present invention, the processing unit constructs the simulated partial discharge signal intensity probability distribution characteristic matrix Ψ based on the simulated partial discharge signals transmitted by the q ultrahigh frequency sensors(m)The method comprises the following steps:
recording the measuring point in the measured area as RPj(j ═ 1,2, … …, N), using an analog partial discharge source to discharge M times per measurement point, using q uhf sensors to measure the analog partial discharge signal intensity at each measurement point, and designating any uhf sensor as APi(i ═ 1,2,3,4 … …, q); if superfrequency sensor APiMeasured measurement point RPjThe simulated partial discharge intensity value of
Figure BDA0001629894900000053
Then the point RP is measuredjAnalog partial discharge intensity characteristic vector r of(m) jComprises the following steps:
Figure BDA0001629894900000051
wherein M represents the number of measurements, M is 1,2, …, M;
the simulated partial discharge intensity characteristic vectors of all the measurement points form a simulated partial discharge signal intensity probability distribution characteristic matrix Ψ of the measured area(m)：
Figure BDA0001629894900000052
Further, in the substation space partial discharge positioning system, the q ultrahigh frequency sensors are set as 4 ultrahigh frequency sensors.
Further, in the substation space partial discharge positioning system, the ultrahigh frequency sensor is an ultrahigh frequency wireless sensor.
In order to facilitate data transmission and transmission, an ultrahigh frequency wireless sensor is preferably used in the present application.
Further, in the substation space partial discharge positioning system, a router is connected between the ultrahigh frequency sensor and the processing unit.
The transformer substation space partial discharge positioning method is based on the constructed simulated partial discharge signal intensity probability distribution characteristics, then judges the probability of partial discharge in each area through a Bayesian probability method, and finally realizes the space positioning of partial discharge through comprehensive analysis. The transformer substation space partial discharge positioning method is rapid in positioning and less affected by the space environment and the electromagnetic environment, the difficulty of transformer substation partial discharge monitoring is reduced, the maintenance efficiency of power equipment faults is improved, and the intelligent level of transformer substation operation and maintenance is further improved.
In addition, the transformer substation space partial discharge positioning system also has the advantages.
Drawings
Fig. 1 is a schematic flow chart of a substation space partial discharge positioning method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a substation space partial discharge positioning system according to an embodiment of the present invention.
Fig. 3 shows an arrangement of the substation space partial discharge positioning system according to an embodiment of the present invention.
Detailed Description
The substation space partial discharge location and system according to the present invention will be further explained and explained with reference to the drawings and the specific embodiments of the present invention, however, the explanation and explanation do not unduly limit the technical solution of the present invention.
Fig. 1 is a schematic flow chart of a substation space partial discharge positioning method according to an embodiment of the present invention.
As shown in fig. 1, the positioning of the partial discharge in the space of the substation in the present embodiment includes the steps of:
(1) selecting N measuring points in the measured area, and constructing a matrix psi simulating the intensity probability distribution of the partial discharge signal(m)Wherein, the measuring point in the measured area is recorded as RPj(j ═ 1,2, … …, N), using an analog partial discharge source to discharge M times per measurement point, using q uhf sensors to measure the analog partial discharge signal intensity at each measurement point, and designating any uhf sensor as APi(i ═ 1,2,3,4 … …, q); if superfrequency sensor APiMeasured measurement point RPjThe simulated partial discharge intensity value of
Figure BDA0001629894900000062
Then the point RP is measuredjAnalog partial discharge intensity characteristic vector r of(m) jComprises the following steps:
Figure BDA0001629894900000061
wherein M represents the number of measurements, M is 1,2, …, M; it should be noted that T represents a transpose of a vector, and is a common symbol in the art.
The simulated partial discharge intensity characteristic vectors of all the measurement points form a simulated partial discharge signal intensity probability distribution characteristic matrix Ψ of the measured area(m)：
Figure BDA0001629894900000071
(2) When partial discharge actually occurs, q ultrahigh frequency sensors are adopted to collect partial discharge signals and obtain actually measured partial discharge intensity characteristic vectors
Figure BDA0001629894900000072
(3) Obtaining a positioning result E of the partial discharge based on the following model formula:
Figure BDA0001629894900000073
Figure BDA0001629894900000074
Figure BDA0001629894900000075
Figure BDA0001629894900000076
Figure BDA0001629894900000077
Figure BDA0001629894900000078
Figure BDA0001629894900000079
Figure BDA00016298949000000710
wherein S iskIndicates the measurement point RPkK represents one of the N measurement points; snIndicates the measurement point RPnN-1, 2, … …, N; d represents rPDDimension of (d), mukAnd munRespectively represent the measurement points RPkAnd RPnPartial discharge signal intensity sample mean value of (C)kAnd CnIs a matrix of the covariance,
Figure BDA00016298949000000711
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)The vector of the k-th column in (a),
Figure BDA00016298949000000712
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)The vector of the nth column in (1).
In the present embodiment, q uhf sensors are provided as 4 uhf sensors AP1、AP2、AP3And AP4And ultrahigh frequency sensor AP1、AP2、AP3And AP4Is a very high frequency wireless sensor.
Fig. 2 is a schematic diagram of a substation space partial discharge positioning system according to an embodiment of the present invention.
As shown in fig. 2, the substation space partial discharge positioning system according to the present embodiment includes q ultrahigh frequency sensors (in the present embodiment, q is 4, that is, ultrahigh frequency sensor AP)1、AP2、AP3And AP4Each ultrahigh frequency sensor is an ultrahigh frequency wireless sensor) and a processing unit 1 in data connection with each ultrahigh frequency sensor, wherein the processing unit 1 realizes data connection through a router 2.
Ultrahigh frequency sensor AP1、AP2、AP3And AP4Are respectively positioned at four corners of the test area 4, and pass through the ultrahigh frequency sensor AP when partial discharge occurs at a certain position P in the test area1、AP2、AP3And AP4And collecting a partial discharge signal.
The specific process is shown in fig. 3. Fig. 3 shows an arrangement of the substation space partial discharge positioning system according to an embodiment of the present invention.
In the test, the test area 4 is a square area of 24m by 24m (L1 indicates the side length of the square area, and L1 is 24m), and four uhf sensors AP are disposed at four corners of the square area1、AP2、AP3And AP4To facilitate the representation of the orientation, a planar rectangular coordinate system, AP, is established3The coordinates in the coordinate system are (1,1), AP4Coordinates in the coordinate system are (25,1), AP1Coordinates in the coordinate system are (25,25), AP2The coordinate in the coordinate system is (1,25), and 625 test points are uniformly distributed in a square area, the interval L2 between two adjacent test points in the X-axis direction or the straight line direction parallel thereto is 1m, and the interval L3 between two adjacent test points in the Y-axis direction or the straight line direction parallel thereto is also 1 m.
Recording the measuring point in the measured area as RPj(j is 1,2, … …, N, in this embodiment N is 625), M discharges are performed at each measurement point using an analog partial discharge source, the analog partial discharge signal intensity at each measurement point is measured using q uhf sensors, and one of the uhf sensors is referred to as APi(i ═ 1,2,3,4 … …, q); if superfrequency sensor APiMeasured measurement point RPjThe simulated partial discharge intensity value of
Figure BDA0001629894900000081
Then the point RP is measuredjAnalog partial discharge intensity characteristic vector r of(m) jComprises the following steps:
Figure BDA0001629894900000082
wherein M represents the number of measurements, M is 1,2, …, M; it should be noted that T represents a transpose of a vector, and is a common symbol in the art.
The simulated partial discharge intensity characteristic vectors of all the measurement points form a simulated partial discharge signal intensity probability distribution characteristic matrix Ψ of the measured area(m)：
Figure BDA0001629894900000091
The processing unit 1 is based on an ultrahigh frequency sensor AP1、AP2、AP3And AP4Transmitted simulation partial discharge signal construction simulation partial discharge signal strength probability distribution characteristic matrixΨ(m)；
When partial discharge actually occurs, the ultrahigh frequency sensor AP is adopted1、AP2、AP3And AP4Collecting partial discharge signals, the processing unit 1 obtains actually measured partial discharge intensity characteristic vectors based on the partial discharge signals
Figure BDA0001629894900000092
The processing unit 1 obtains a positioning result E of the partial discharge based on the following model formula:
Figure BDA0001629894900000093
Figure BDA0001629894900000094
Figure BDA0001629894900000095
Figure BDA0001629894900000096
Figure BDA0001629894900000097
Figure BDA0001629894900000098
Figure BDA0001629894900000099
Figure BDA00016298949000000910
wherein S iskIndicates the measurement point RPkK represents one of the N measurement points; snIndicates the measurement point RPnN-1, 2, … …, N; d represents rPDDimension of (d), mukAnd munRespectively represent the measurement points RPkAnd RPnPartial discharge signal intensity sample mean value of (C)kAnd CnIs a matrix of the covariance,
Figure BDA0001629894900000101
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)The vector of the k-th column in (a),
Figure BDA0001629894900000102
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)The vector of the nth column in (1).
In order to verify the positioning effect of the transformer substation space partial discharge based on the Bayesian probability, each test point in the test area is measured by the transformer substation space partial discharge positioning method, the time difference method and the angle positioning method in the prior art, and error statistics is performed on the numerical value obtained by measurement and the coordinate data of the actual partial discharge, and the result is shown in table 1.
Table 1.
Transformer substation space partial discharge positioning method Time difference method Angular positioning method
Mean positioning error (m) 1.86 2.38 2.84
Error less than 1m percent (%) 32.3 24.2 21.0
Error less than 3m percent (%) 75.2 70.2 64.2
Error less than 5m percent (%) 87.5 84.6 83.5
Maximum error (m) 8.25 11.23 11.78
As can be seen from the table 1, the average positioning error of the positioning method for the partial discharge of the space of the whole substation is 1.86 meters, the percentage of the positioning error smaller than 3 meters is 75.2%, and the performance of the positioning method is obviously superior to that of the positioning method in the prior art. And the positioning error of 1.86 meters completely meets the precision requirement of the partial discharge positioning of the transformer substation. Therefore, based on the constructed simulated partial discharge signal intensity probability distribution characteristics, the probability of the partial discharge occurring in each region is judged through a Bayesian probability method, and finally, the spatial positioning of the partial discharge is realized through comprehensive analysis. The transformer substation space partial discharge positioning method is rapid in positioning, is less affected by the space environment and the electromagnetic environment, reduces the difficulty of transformer substation partial discharge monitoring, improves the maintenance efficiency of power equipment faults, and further improves the intelligent level of transformer substation operation and maintenance.
Compared with the time difference method and the angle positioning method in the prior art, the method has the advantages that only the strength information of the partial discharge signal needs to be measured, high positioning accuracy is guaranteed, meanwhile, the hardware cost of the system is remarkably reduced, the monitoring and overhauling efficiency of the power equipment of the transformer substation is effectively improved, and the method has good practical popularization and application values.
It should be noted that the prior art in the protection scope of the present invention is not limited to the examples given in the present application, and all the prior art which is not inconsistent with the technical scheme of the present invention, including but not limited to the prior patent documents, the prior publications and the like, can be included in the protection scope of the present invention.
In addition, the combination of the features in the present application is not limited to the combination described in the claims of the present application or the combination described in the embodiments, and all the features described in the present application may be freely combined or combined in any manner unless contradictory to each other.
It should also be noted that the above-mentioned embodiments are only specific embodiments of the present invention. It is apparent that the present invention is not limited to the above embodiments and similar changes or modifications can be easily made by those skilled in the art from the disclosure of the present invention and shall fall within the scope of the present invention.

Claims (9)

1. A transformer substation space partial discharge positioning method comprises the following steps:
(1) selecting N measuring points in the measured area, and constructing a matrix psi simulating the intensity probability distribution of the partial discharge signal(m)；
(2) When partial discharge actually occurs, q ultrahigh frequency sensors are adopted to collect partial discharge signals and obtain actually measured partial discharge intensity characteristic vectors
Figure FDA0002286896240000011
(3) Obtaining a positioning result E of the partial discharge based on the following model formula:
Figure FDA0002286896240000012
Figure FDA0002286896240000013
Figure FDA0002286896240000014
Figure FDA0002286896240000015
Figure FDA0002286896240000016
Figure FDA0002286896240000017
Figure FDA0002286896240000018
Figure FDA0002286896240000019
wherein S iskIndicates the measurement point RPkK represents one of the N measurement points; snIndicates the measurement point RPnN-1, 2, … …, N; d represents rPDDimension of (d), mukAnd munRespectively represent the measurement points RPkAnd RPnPartial discharge signal intensity sample mean value of (C)kAnd CnIs a matrix of the covariance,
Figure FDA00022868962400000110
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)The vector of the k-th column in (a),
Figure FDA00022868962400000111
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)Where M denotes the number of measurements, and M is 1,2, …, M.
2. The substation space partial discharge positioning method of claim 1, wherein step (1) further comprises the steps of:
recording the measuring point in the measured area as RPj(j ═ 1,2, … …, N), using an analog partial discharge source to discharge M times per measurement point, using q uhf sensors to measure the analog partial discharge signal intensity at each measurement point, and designating any uhf sensor as APi(i ═ 1,2,3,4 … …, q); if superfrequency sensor APiMeasured measurement point RPjThe simulated partial discharge intensity value of
Figure FDA0002286896240000021
Then the point RP is measuredjAnalog partial discharge intensity characteristic vector r of(m) jComprises the following steps:
Figure FDA0002286896240000022
wherein M represents the number of measurements, M is 1,2, …, M;
the simulated partial discharge intensity characteristic vectors of all the measurement points form a simulated partial discharge signal intensity probability distribution characteristic matrix Ψ of the measured area(m)：
Figure FDA0002286896240000023
3. The substation space partial discharge positioning method of claim 1, wherein the q uhf sensors are set to 4 uhf sensors.
4. The substation space partial discharge positioning method of claim 1, wherein the uhf sensor is an uhf wireless sensor.
5. A transformer substation space partial discharge positioning system is characterized by comprising: q ultrahigh frequency sensors and a processing unit in data connection with the q ultrahigh frequency sensors; wherein:
the processing unit constructs a simulated partial discharge signal intensity probability distribution characteristic matrix psi based on the simulated partial discharge signals transmitted by the q ultrahigh frequency sensors(m)；
When partial discharge actually occurs, q ultrahigh frequency sensors are adopted to collect partial discharge signals, and the processing unit obtains actually-measured partial discharge intensity characteristic vectors based on the partial discharge signals
Figure FDA0002286896240000024
The processing unit obtains a positioning result E of the partial discharge based on the following model formula:
Figure FDA0002286896240000025
Figure FDA0002286896240000031
Figure FDA0002286896240000032
Figure FDA0002286896240000033
Figure FDA0002286896240000034
Figure FDA0002286896240000035
Figure FDA0002286896240000036
Figure FDA0002286896240000037
wherein S iskIndicates the measurement point RPkK represents one of the N measurement points; snIndicates the measurement point RPnN-1, 2, … …, N; d represents rPDDimension of (d), mukAnd munRespectively represent the measurement points RPkAnd RPnPartial discharge signal intensity sample mean value of (C)kAnd CnIs a matrix of the covariance,
Figure FDA0002286896240000038
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)The vector of the k-th column in (a),
Figure FDA0002286896240000039
representing a matrix Ψ of probability distributions of signal intensities selected from simulated partial discharge signals(m)Where M denotes the number of measurements, and M is 1,2, …, M.
6. The substation space partial discharge positioning system of claim 5, wherein the processing unit constructs the simulated partial discharge signal intensity probability distribution characteristic matrix Ψ based on the simulated partial discharge signals transmitted by the q uhf sensors(m)The method comprises the following steps:
recording the measuring point in the measured area as RPj(j ═ 1,2, … …, N), using an analogue partial discharge source, at each measurement pointMeasuring the intensity of the analog partial discharge signal of each measuring point by q ultrahigh frequency sensors for M times, and recording any ultrahigh frequency sensor as APi(i ═ 1,2,3,4 … …, q); if superfrequency sensor APiMeasured measurement point RPjThe simulated partial discharge intensity value of
Figure FDA00022868962400000310
Then the point RP is measuredjAnalog partial discharge intensity characteristic vector r of(m) jComprises the following steps:
Figure FDA00022868962400000311
wherein M represents the number of measurements, M is 1,2, …, M;
the simulated partial discharge intensity characteristic vectors of all the measurement points form a simulated partial discharge signal intensity probability distribution characteristic matrix Ψ of the measured area(m)：
Figure FDA0002286896240000041
7. The substation space partial discharge positioning system of claim 5, wherein the q uhf sensors are provided as 4 uhf sensors.
8. The substation space partial discharge positioning system of claim 5, wherein the uhf sensor is an uhf wireless sensor.
9. The substation space partial discharge positioning system of claim 5, wherein a router is connected between the uhf sensor and the processing unit.
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