CN112904162B - Abnormal discharge acquisition and identification method suitable for alternating current overhead line - Google Patents

Abnormal discharge acquisition and identification method suitable for alternating current overhead line Download PDF

Info

Publication number
CN112904162B
CN112904162B CN202110090779.0A CN202110090779A CN112904162B CN 112904162 B CN112904162 B CN 112904162B CN 202110090779 A CN202110090779 A CN 202110090779A CN 112904162 B CN112904162 B CN 112904162B
Authority
CN
China
Prior art keywords
traveling wave
phase
abnormal discharge
calculating
monitoring terminal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110090779.0A
Other languages
Chinese (zh)
Other versions
CN112904162A (en
Inventor
曾华荣
毛先胤
黄欢
马晓红
卢金科
张强永
罗国强
张露忪
吴建蓉
邱实
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guizhou Power Grid Co Ltd
Original Assignee
Guizhou Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guizhou Power Grid Co Ltd filed Critical Guizhou Power Grid Co Ltd
Priority to CN202110090779.0A priority Critical patent/CN112904162B/en
Publication of CN112904162A publication Critical patent/CN112904162A/en
Application granted granted Critical
Publication of CN112904162B publication Critical patent/CN112904162B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • G01R31/1263Testing 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 solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
    • G01R31/1272Testing 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 solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R25/00Arrangements for measuring phase angle between a voltage and a current or between voltages or currents

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Testing Relating To Insulation (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Locating Faults (AREA)

Abstract

Hair brushThe invention discloses an abnormal discharge acquisition and identification method suitable for an alternating current overhead line, which comprises the following steps: step 1, installing a distributed monitoring device on a power transmission line; the distributed monitoring device comprises a traveling wave current sensor module and a voltage sensor module; step 2, timing and synchronously acquiring the operating voltage U of the power transmission line at regular time intervals0Traveling wave current I0And record U0And I0GPS time T0(ii) a Step 3, calculating the voltage fundamental wave reference phase through a built-in edge calculation module of the monitoring terminal
Figure DDA0002912399630000011
Step 4, setting a trigger threshold value of the monitoring terminal; step 5, triggering collection and calculating traveling wave phases; step 6, eliminating invalid data and uploading valid data to a data center; the method solves the technical problems that the collection mode and the monitoring terminal algorithm for collecting the fault traveling wave in the prior art cannot be applied to collection and identification of abnormal discharge of the power transmission line and the like so as to realize targeted collection and finally realize the early warning function of the abnormal discharge.

Description

Abnormal discharge acquisition and identification method suitable for alternating current overhead line
Technical Field
The invention belongs to the technology of power transmission line fault monitoring, and particularly relates to an abnormal discharge acquisition and identification method suitable for an alternating current overhead line.
Background
Except for partial faults such as lightning stroke, external force damage and the like, most common faults of the power transmission line are gradual processes, and abnormal discharge processes can be experienced for a period of time. Common fault types with hidden danger states on a power transmission line comprise that the power transmission line is abnormally discharged due to the degradation and string dropping of a composite insulator, strand breakage caused by hardware floating discharge, vegetation flashover, insulator pollution flashover and the like; this type of fault is relatively not very high, but once it occurs, it is extremely easy to cause reclosing failures and even line outages, and therefore it is necessary to monitor.
The transmission line traveling wave fault monitoring technology in the prior art has corresponding national standards and enterprise standards, but the distributed fault monitoring technology in the prior art acquires traveling waves generated in fault, namely fault traveling waves, wherein the fault traveling waves have the characteristics that the amplitude is generally in the level of hundreds of amperes, the minimum amplitude is more than 10 amperes, and the fault is instantaneous; the abnormal discharge traveling wave of the power transmission line has the characteristics that the amplitude is extremely low and is in the milliampere level, the range is generally 5 mA-1A, the discharge has continuity, and multiple discharges can be generated in a certain time, so that the distributed traveling wave fault monitoring technology is not suitable for collecting abnormal discharge signals.
Therefore, the collection mode and the monitoring terminal algorithm for collecting the fault traveling wave in the prior art cannot be applied to collection and identification of abnormal discharge of the power transmission line; although the abnormal discharge of the line can be usually found by manual inspection, the abnormal discharge on the power transmission line can not be found in time due to the limitation of terrain conditions and the influence of experience of inspection personnel, so that the accident caused by the abnormal discharge can not be eliminated in time.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the abnormal discharge collection and identification method suitable for the alternating current overhead line is provided to solve the technical problems that the collection mode and the monitoring terminal algorithm for collecting fault traveling waves in the prior art cannot be applied to collection and identification of abnormal discharge of a power transmission line and the like.
The technical scheme of the invention is as follows:
an abnormal discharge acquisition and identification method suitable for an alternating current overhead line comprises the following steps:
step 1, installing a distributed monitoring device on a power transmission line; the distributed monitoring device comprises a traveling wave current sensor module and a voltage sensor module;
step 2, timing and synchronously acquiring the operating voltage U of the power transmission line at regular time intervals0Traveling wave current I0And record U0And I0GPS time T0
Step 3, calculating the voltage fundamental wave reference phase through a built-in edge calculation module of the monitoring terminal
Figure BDA0002912399610000029
Step 4, setting a trigger threshold value of the monitoring terminal;
step 5, triggering collection and calculating traveling wave phases;
and 6, eliminating invalid data and uploading valid data to a data center.
The method for installing the distributed monitoring device on the power transmission line in the step 1 comprises the following steps: the monitoring devices are arranged on three-phase conductors of the alternating-current transmission line in a distributed mode, and one set of monitoring device is arranged at intervals of 10-30 km.
The interval time of every certain time interval is 8-10 minutes; setting the interval time through a data center; operating voltage U0The corresponding sampling rate is fs/Hz, and the traveling wave current I0The corresponding sampling rate is f 0/Hz.
The calculated voltage fundamental wave reference phase
Figure BDA0002912399610000021
The method comprises the following steps:
collected U0Is composed of individual data points set as: x (0), x (1) … …; firstly, U is extracted0All points in one power frequency period from the first data point to the next, wherein the length of one power frequency period is 20ms, and the number of voltage data points in one power frequency period is 20 x 10-3*fs=0.02fs;
Firstly, calculating:
Figure BDA0002912399610000022
in the formula: x (0) … … x (N-1) is a point corresponding to a power frequency period, e is the base number of a natural logarithm and is equal to 2.71828, j is a complex unit and satisfies the condition that j is2=-1;
The reference phase of the power frequency signal can be calculated from the values of a and b by using a complex Z obtained by equation (1) and expressing Z as a + bj
Figure BDA0002912399610000023
The method comprises the following steps:
if a>0 and b is not equal to 0,
Figure BDA0002912399610000024
if a<0 and b>0,
Figure BDA0002912399610000025
If a<0 and b<0,
Figure BDA0002912399610000026
If a>0 and b is 0,
Figure BDA0002912399610000027
if a<0 and b is 0,
Figure BDA0002912399610000028
if a is 0, b>0,
Figure BDA0002912399610000031
If a is 0, b<0,
Figure BDA0002912399610000032
According to the calculation result, the monitoring terminal automatically sends T0And
Figure BDA0002912399610000033
storing the data in a cache; synchronizing T to the next acquisition time0And
Figure BDA0002912399610000034
both values are updated.
The method for setting the trigger threshold of the monitoring terminal in the step 4 comprises the following steps:
calculating synchronously collected traveling wave current I0The effective value of (a) is calculated as follows:
Figure BDA0002912399610000035
the monitoring terminal converts the traveling wave current I0Is stored in a buffer, and the value is multiplied by a coefficient to be used as a trigger threshold I1(ii) a The coefficient range is 3-10, and the coefficient range is set remotely through a data center.
The method for triggering acquisition and calculating the phase of the traveling wave comprises the following steps:
monitoring a terminal to trigger a threshold I1Triggering and collecting in real time and recording waveform, and GPS time of waveform trigger point, and combining T0And
Figure BDA0002912399610000036
calculating the phase of the waveform
Figure BDA0002912399610000037
Phase of waveform
Figure BDA0002912399610000038
The calculation method comprises the following steps: assuming that triggered waveform GPS time is Ti, firstly calculating dt to be Ti-T0, and converting the dt into ms to be accurate to within 0.1 ms;
Figure BDA0002912399610000039
in the formula (I), the compound is shown in the specification,
Figure BDA00029123996100000310
and rounding down.
The method for eliminating invalid data in step 6 comprises the following steps: setting an effective phase interval of [ a, b ] < U [ c, d ] by the data center, wherein a < b, c < d, and are all in the range of [0,360); a takes any value between [75 and 85], c takes any value between [95,115], c takes any value between [255,265], d takes any value between [275,285 ]; sending the set phase interval to a monitoring terminal and storing the phase interval; and judging whether the waveform phase triggered and collected in the step is positioned in the phase interval, if so, judging as valid data and uploading, otherwise, deleting inefficiently.
The invention has the beneficial effects that:
according to the invention, the abnormal discharge monitoring terminal of the power transmission line is arranged, the terminal acquires a small current signal through a sensor with a fixed frequency range (1 kHz-5 MHz), and meanwhile, the discharge signal identification method provided by the invention is arranged in the monitoring terminal, so that the acquired traveling wave waveform is associated with the power frequency voltage, invalid data is eliminated, and finally, the acquisition and identification of the abnormal discharge signal of the power transmission line are realized.
Drawings
Fig. 1 is a schematic view of the installation of the monitoring terminal of the present invention.
Detailed Description
According to the invention, the monitoring terminals are installed on the overhead transmission line in a distributed manner, as shown in fig. 1, abnormal discharge data collected by the monitoring terminals are uploaded to a data center, analysis and early warning are carried out by background software, and finally, an early warning result can be checked through a client.
The invention comprises a monitoring terminal, a data center and a client, wherein the monitoring terminal is provided with an abnormal discharge traveling wave current sensor (current sensor for short, the same below) module and a voltage sensor module, the traveling wave current sensor is used for monitoring discharge traveling waves on a wire of a power transmission line, the voltage sensor is used for monitoring the operating voltage of the power transmission line, and the principles of the two sensors are introduced in documents and are not the content to be described in the patent. The method only introduces how the monitoring terminal collects the abnormal discharge traveling wave and carries out certain edge calculation processing, and finally uploads effective data to a data center, so that targeted collection and identification are realized, and the occurrence of false alarm is avoided. The monitoring terminal has the following acquisition mode:
(1) the running voltage U of the conducting wire is regularly and synchronously collected at regular time intervals0Traveling wave current I0And record U0And I0GPS time T0. The sampling rate corresponding to the running voltage U0 is fs/Hz, and the traveling wave current I0The corresponding sampling rate is f 0/Hz.
The time interval can be set by the data center, and the time is not suitable to exceed 10min to ensure the phase precision.
(2) Calculating voltage fundamental wave reference phase by built-in edge calculation module of monitoring terminal
Figure BDA0002912399610000042
The collected U0 is composed of data points, x (0), x (1) … …. Firstly, U is extracted0All points in one power frequency period from the first data point to the next, wherein the length of one power frequency period is 20ms, and the number of voltage data points in one power frequency period is 20 x 10-3*fs=0.02fs。
Firstly, calculating:
Figure BDA0002912399610000041
wherein x (0) … … x (N-1) is the point corresponding to the power frequency period, e is the base number of natural logarithm, the size is equal to 2.71828, j is complex unit, and j is satisfied2=-1。
According to the formula (1), the obtained Z is a complex number and can be expressed as Z ═ a + bj, and the reference phase of the power frequency signal can be calculated according to the values of a and b
Figure BDA0002912399610000051
The method is as follows:
Figure BDA0002912399610000052
if a>0 and b is not equal to 0,
Figure BDA0002912399610000053
Figure BDA0002912399610000054
if a<0 and b>0,
Figure BDA0002912399610000055
Figure BDA0002912399610000056
If a<0 and b<0,
Figure BDA0002912399610000057
Figure BDA0002912399610000058
If a>0 and b is 0,
Figure BDA0002912399610000059
Figure BDA00029123996100000510
if a<0 and b is 0,
Figure BDA00029123996100000511
Figure BDA00029123996100000512
if a is 0, b>0,
Figure BDA00029123996100000513
Figure BDA00029123996100000514
If a is 0, b<0,
Figure BDA00029123996100000515
According to the calculation result, the monitoring terminal automatically sends T0And
Figure BDA00029123996100000516
and storing the data in a cache. And when the next acquisition comes, the two values are synchronously updated.
(3) Setting a trigger threshold of a monitoring terminal
Calculating synchronously collected traveling wave current I0The effective value of (a) is calculated as follows:
Figure BDA00029123996100000517
in the formula: n is a radical of0Representing the total point number of the collected traveling wave current; i is0(i) The value of the ith traveling wave current sampling point is shown, i is an integer variable and ranges from 1 to N0
The monitoring terminal stores the value into a buffer, and multiplies the value by a coefficient to be used as a trigger threshold I1. The coefficient is 3-10, and the data center can be used for remote setting.
(4) Triggering acquisition and calculating traveling wave phase
The monitoring terminal carries out real-time trigger acquisition and records the waveform and the GPS time of the waveform trigger point by using the trigger value I1 and combines T0And
Figure BDA00029123996100000518
calculating the phase of the waveform
Figure BDA00029123996100000519
The calculation method is as follows: assuming that the triggered waveform GPS time is Ti, dt is calculated to be Ti-T0 and converted into ms, and the accuracy is required to be within 0.1 ms.
Figure BDA00029123996100000520
Wherein k is an integer.
Figure BDA00029123996100000521
Rounding down, e.g. if calculated
Figure BDA00029123996100000522
Figure BDA00029123996100000523
K takes 1.
(5) Eliminating invalid data and uploading valid data
Effective phase intervals are set by the data center, typically [ a, b ] < U [ c, d ], where a < b, c < d, and are all in the range of [0,360). Generally, a is any value between [75 ] and [ 85], c is any value between [95,115], c is any value between [255,265], and d is any value between [275,285 ]. And sending the set phase interval to a monitoring terminal and storing the phase interval. And (4) judging whether the waveform phase triggered and collected in the step (4) is located in the phase interval, if so, judging that effective discharge is carried out and uploading is carried out, otherwise, deleting inefficiently.

Claims (5)

1. An abnormal discharge acquisition and identification method suitable for an alternating current overhead line comprises the following steps:
step 1, installing a distributed monitoring device on a power transmission line; the distributed monitoring device comprises a traveling wave current sensor module and a voltage sensor module;
step 2, timing and synchronously acquiring the operating voltage U of the power transmission line at regular time intervals0Traveling wave current I0And is combined withRecord U0And I0GPS time T0
Step 3, calculating the voltage fundamental wave reference phase through a built-in edge calculation module of the monitoring terminal
Figure FDA0003505764150000018
The calculated voltage fundamental wave reference phase
Figure FDA0003505764150000019
The method comprises the following steps:
collected U0Is composed of individual data points set as: x (0), x (1) … …; firstly, U is extracted0All points in one power frequency period from the first data point to the next, wherein the length of one power frequency period is 20ms, and the number of voltage data points in one power frequency period is 20 x 10-3*fs=0.02fs;
Firstly, calculating:
Figure FDA0003505764150000011
in the formula: x (0) … … x (N-1) is a point corresponding to a power frequency period, e is the base number of a natural logarithm and is equal to 2.71828, j is a complex unit and satisfies the condition that j is2=-1;
The reference phase of the power frequency signal can be calculated from the values of a and b by using a complex Z obtained by equation (1) and expressing Z as a + bj
Figure FDA0003505764150000012
The method comprises the following steps:
if a>0 and b is not equal to 0,
Figure FDA0003505764150000013
if a<0 and b>0,
Figure FDA0003505764150000014
If a<0 and b<0,
Figure FDA0003505764150000015
If a>0 and b is 0,
Figure FDA0003505764150000016
if a<0 and b is 0,
Figure FDA0003505764150000017
if a is 0, b>0,
Figure FDA0003505764150000021
If a is 0, b<0,
Figure FDA0003505764150000022
According to the calculation result, the monitoring terminal automatically sends T0And
Figure FDA0003505764150000023
storing the data in a cache; synchronizing T to the next acquisition time0And
Figure FDA0003505764150000024
updating the two values;
step 4, setting a trigger threshold value of the monitoring terminal;
step 5, triggering collection and calculating traveling wave phases;
the method for triggering acquisition and calculating the phase of the traveling wave comprises the following steps:
monitoring a terminal to trigger a threshold I1Triggering and collecting in real time and recording waveform, and GPS time of waveform trigger point, and combining T0And
Figure FDA0003505764150000025
calculating the phase of the waveform
Figure FDA0003505764150000026
Phase of waveform
Figure FDA0003505764150000027
The calculation method comprises the following steps: assuming that triggered waveform GPS time is Ti, firstly calculating dt to be Ti-T0, and converting the dt into ms to be accurate to within 0.1 ms;
Figure FDA0003505764150000028
in the formula (I), the compound is shown in the specification,
Figure FDA0003505764150000029
rounding down;
and 6, eliminating invalid data and uploading valid data to a data center.
2. The abnormal discharge collection and identification method suitable for the alternating current overhead line according to claim 1, characterized in that: the method for installing the distributed monitoring device on the power transmission line in the step 1 comprises the following steps: the monitoring devices are arranged on three-phase conductors of the alternating-current transmission line in a distributed mode, and one set of monitoring device is arranged at intervals of 10-30 km.
3. The abnormal discharge collection and identification method suitable for the alternating current overhead line according to claim 1, characterized in that: the interval time of every certain time interval is 8-10 minutes; setting the interval time through a data center; operating voltage U0The corresponding sampling rate is fs/Hz, and the traveling wave current I0The corresponding sampling rate is f 0/Hz.
4. The abnormal discharge collection and identification method suitable for the alternating current overhead line according to claim 1, characterized in that: the method for setting the trigger threshold of the monitoring terminal in the step 4 comprises the following steps:
calculating synchronously collected traveling wave current I0The effective value of (a) is calculated as follows:
Figure FDA0003505764150000031
the monitoring terminal converts the traveling wave current I0Is stored in a buffer, and the value is multiplied by a coefficient to be used as a trigger threshold I1(ii) a The coefficient range is 3-10, and the coefficient range is set remotely through a data center.
5. The abnormal discharge collection and identification method suitable for the alternating current overhead line according to claim 1, characterized in that: the method for eliminating invalid data in step 6 comprises the following steps: setting an effective phase interval of [ a, b ] < U [ c, d ] by the data center, wherein a < b, c < d, and are all in the range of [0,360); a takes any value between [75 and 85], c takes any value between [95,115], c takes any value between [255,265], d takes any value between [275,285 ]; sending the set phase interval to a monitoring terminal and storing the phase interval; and judging whether the waveform phase triggered and collected in the step is positioned in the phase interval, if so, judging as valid data and uploading, otherwise, deleting inefficiently.
CN202110090779.0A 2021-01-22 2021-01-22 Abnormal discharge acquisition and identification method suitable for alternating current overhead line Active CN112904162B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110090779.0A CN112904162B (en) 2021-01-22 2021-01-22 Abnormal discharge acquisition and identification method suitable for alternating current overhead line

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110090779.0A CN112904162B (en) 2021-01-22 2021-01-22 Abnormal discharge acquisition and identification method suitable for alternating current overhead line

Publications (2)

Publication Number Publication Date
CN112904162A CN112904162A (en) 2021-06-04
CN112904162B true CN112904162B (en) 2022-04-08

Family

ID=76117146

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110090779.0A Active CN112904162B (en) 2021-01-22 2021-01-22 Abnormal discharge acquisition and identification method suitable for alternating current overhead line

Country Status (1)

Country Link
CN (1) CN112904162B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113466633A (en) * 2021-07-30 2021-10-01 武汉三相电力科技有限公司 Distributed fault monitoring integrated method and device for power transmission line

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003107122A (en) * 2001-10-01 2003-04-09 Mitsubishi Electric Corp Partial discharge detection device for winding apparatus
CN101187687A (en) * 2007-12-21 2008-05-28 清华大学 High resistance earthing fault detection method based on transient traveling wave
CN102508031A (en) * 2011-11-01 2012-06-20 山东电力研究院 Fourier series based measurement method of phase angle of partial discharge pulse
CN108802586A (en) * 2018-08-24 2018-11-13 海南电网有限责任公司电力科学研究院 A kind of recognition methods for transmission line of electricity corona discharge and paradoxical discharge
CN109085473A (en) * 2018-08-24 2018-12-25 海南电网有限责任公司电力科学研究院 A kind of identification of transmission line of electricity high-frequency discharge and localization method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003107122A (en) * 2001-10-01 2003-04-09 Mitsubishi Electric Corp Partial discharge detection device for winding apparatus
CN101187687A (en) * 2007-12-21 2008-05-28 清华大学 High resistance earthing fault detection method based on transient traveling wave
CN102508031A (en) * 2011-11-01 2012-06-20 山东电力研究院 Fourier series based measurement method of phase angle of partial discharge pulse
CN108802586A (en) * 2018-08-24 2018-11-13 海南电网有限责任公司电力科学研究院 A kind of recognition methods for transmission line of electricity corona discharge and paradoxical discharge
CN109085473A (en) * 2018-08-24 2018-12-25 海南电网有限责任公司电力科学研究院 A kind of identification of transmission line of electricity high-frequency discharge and localization method

Also Published As

Publication number Publication date
CN112904162A (en) 2021-06-04

Similar Documents

Publication Publication Date Title
US7725295B2 (en) Cable fault detection
US7672812B2 (en) Cable fault detection
CA2805793C (en) Apparatus and method for monitoring an electric power transmission system through partial discharges analysis
US11448682B2 (en) Trending functions for partial discharge
US11231999B2 (en) Detection of electric power system anomalies in streaming measurements
CN112904162B (en) Abnormal discharge acquisition and identification method suitable for alternating current overhead line
CN111814349A (en) Big data-based power system insulator monitoring and evaluating system
CN117407679A (en) Data acquisition method and system of intelligent end screen sensor
CN113447770A (en) High-voltage circuit breaker partial discharge monitoring and early warning method
CN113655350A (en) GIS partial discharge online monitoring system and method
CN115656738A (en) Online switch cabinet partial discharge monitoring system and method
US11953534B2 (en) Detection of lightning and related control strategies in electric power systems
CN113125840B (en) Method for extracting effective current signal of abnormal discharge of alternating current transmission line
CN111239572B (en) On-line monitoring method and system for lightning protection facility SPD
CN111624445B (en) Partial discharge detection method and system based on infrared temperature sensor
CN203858325U (en) GIS insulation state on-line monitoring and diagnostic device suitable for steep wave intrusion
CN108387772B (en) Method for measuring overvoltage of power transmission line
KR20140093033A (en) Analyzing partial discharge diagnostic using window number
Hokazono et al. Development of Predictive Fault Detection and Cause Estimation with Sensor-Equipped Sectionalizers in Advanced Distribution Automation System
CN115616332B (en) AC power transmission line lightning stroke interference identification method and system based on extension fusion
US12055576B2 (en) Calculating electric power noise distributions
CN111458597B (en) Fault positioning method based on lightning overvoltage phase transmission characteristic
Zhang et al. Experimental Study on Traveling Wave Discharge of Tree Hidden Danger in Overhead Transmission Line
JPH06261436A (en) Insulation diagnosing device for gas insulated switchgear
CN114371371A (en) Partial discharge measuring device and method for cable connector

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant