CN102095938B - High-precision signal processing method for insulation online monitoring of high-voltage electric-power capacitive equipment - Google Patents

High-precision signal processing method for insulation online monitoring of high-voltage electric-power capacitive equipment Download PDF

Info

Publication number
CN102095938B
CN102095938B CN2010101193874A CN201010119387A CN102095938B CN 102095938 B CN102095938 B CN 102095938B CN 2010101193874 A CN2010101193874 A CN 2010101193874A CN 201010119387 A CN201010119387 A CN 201010119387A CN 102095938 B CN102095938 B CN 102095938B
Authority
CN
China
Prior art keywords
leakage current
measurement unit
iirg
signal
voltage
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.)
Expired - Fee Related
Application number
CN2010101193874A
Other languages
Chinese (zh)
Other versions
CN102095938A (en
Inventor
李娟�
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.)
Beijing Information Science and Technology University
Original Assignee
Beijing Information Science and Technology University
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 Beijing Information Science and Technology University filed Critical Beijing Information Science and Technology University
Priority to CN2010101193874A priority Critical patent/CN102095938B/en
Publication of CN102095938A publication Critical patent/CN102095938A/en
Application granted granted Critical
Publication of CN102095938B publication Critical patent/CN102095938B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Measurement Of Resistance Or Impedance (AREA)
  • Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)

Abstract

The invention discloses a signal processing and calculating method for insulation dielectric dissipation factors with the characteristics of high precision and immunity to electromagnetic interference, which developed by aiming at high-voltage electric-power capacitive equipment for realizing insulation online monitoring technology in the equipment life cycle management of an intelligent power grid. In the scheme, based on distributing type remote synchronous signal collection and through carrying out complete-frequency discrete sampling on the leakage current and the busbar voltage of the high-voltage capacitive equipment in a timing way, an infinite impulse response filter group (IIRG) consisting of a point-pass filter, a low-pass filter, a high-pass filter and a necessary point-resistance filter is arranged by aiming at the interference characteristics of high-voltage electric power equipment, input signal sequences adaptive to the time constants of the IIRG are obtained through signal extension, filter output with 50Hz of power frequency signals is obtained through the IIRG, the phasor phase difference of the leakage current and the busbar voltage of the high-voltage capacitive equipment are obtained with a phase algorithm, and further the insulation dielectric dissipation factors with high precision are obtained.

Description

The high-precision signal disposal route of the capacitive apparatus insulated on-line monitoring of high-tension electricity
Technical field
The present invention relates to the insulated on-line monitoring of high-tension electricity capacitive apparatus, belong to the cycle equipment life-cycle monitoring management field of high voltage electric power equip ment repair based on condition of component and on-line monitoring field and intelligent grid.
Background technology
Power industry is the main body of energy industry, and UHV (ultra-high voltage), UHV transmission can be realized farther distance and more high efficiency power transfer, and the High-Voltage Insulation technology is a gordian technique wherein.Most faults of extra-high voltage, supergrid show as insulation and wreck.High voltage electric power equip ment except that power transmission line is all concentrated and is placed in the transformer station; Comprise main-transformer, primary cut-out, current transformer (CT), capacitance type potential transformer (CPT), sleeve pipe, coupling condenser, lightning arrester etc., wherein most equipment are capacitive apparatus.The status monitoring of realizing high voltage capacitive apparatus can prevent because the capacitive apparatus insulated electric network fault that causes.Now, intelligent grid is being built in electrical network and electric system, the life-cycle cycle management that a key content of intelligent grid is exactly a power equipment, and the status monitoring that promptly relies on high voltage electric power equip ment is realized preventative control and repair based on condition of component.Real-time insulating monitoring and diagnostic techniques are the bases of repair based on condition of component; High voltage electric power equip ment is carried out on-line monitoring; In time prediction and tracing trouble all have great importance to the normal operation of guaranteeing power equipment, the reliability that improves electrical network and to equipment and operations staff's safety.
The monitoring of high voltage electric power equip ment insulation status is at present usually based on to its dielectric dissipation factor tan δ, dielectric leakage electric current I PMonitoring with electric capacity C.The test philosophy of dielectric loss can be sketched to current signal and voltage signal with measurand are sent to measurement mechanism, and the phase place with two signals compares then, thereby obtains Jie's damage value of equipment.Existing capacitive apparatus insulated monitoring technology is difficult to practicality.The leakage current of capacitive apparatus is the 10mA level, belongs to tiny signal.And capacitive apparatus all is a high-tension apparatus, and there are a large amount of high pressure flashovers and discharge in the scene, and electromagnetic interference (EMI) is very serious, contains a large amount of undesired signals in the sampled signal; Monitor the leakage current signal and the equipment voltage signal of capacitive apparatus insulated this equipment of needs; The latter's sensor (voltage transformer (VT)) position and this capacitive apparatus distance are far; If being delivered to electric room through cable connection, the leakage current signal of capacitive apparatus measures small leakage current again; To further get into Errors Catastrophic and undesired signal, it is practical to make that this scheme is difficult to, and measurement result lacks confidence level.
Therefore, adopt novel tiny signal measuring technique, realize that the association collection of diverse location signal and processing are the keys that solves high voltage capacitive apparatus insulated monitoring.
This patent proposes a kind of high precision of IIRG IIR filter group, jamproof insulating monitoring signal processing method and algorithm of adopting; Improve the sensing ability of signal through distributed in-site collecting tiny signal; Realize the strange land synchronized sampling of leakage current and voltage through the Zigbee radio communication; Obtain the better resisting interference effect through signal Processing and IIRG filtering algorithm; The accurate problems of measurement of high voltage capacitive apparatus leakage current phasor can be solved, all higher resolution and stability must be obtained aspect phasor phase place and the amplitude.This algorithm requires that special data acquisition and communication mode are arranged, and can incorporate in the intelligent grid high voltage capacitive apparatus condition monitoring system as gordian technique.
Summary of the invention
The present invention relates in the equipment life-cycle of intelligent grid cycle management, realize the insulated on-line monitoring technology to the high-tension electricity capacitive apparatus, disclose a kind ofly have high precision, to the insulation dielectric loss Factor Calculation method of electromagnetic interference (EMI) immune characteristic.This scheme is based on distributed strange land signals collecting; Utilize different leakage current collection unit and busbar voltage collecting unit to realize the leakage current and the busbar voltage sampling of high voltage capacitive apparatus respectively; Realize the synchronized sampling of different acquisition units through the clock synchronization of collecting unit; The discrete sampling of regularly the discrete leakage current and the busbar voltage of high voltage capacitive apparatus being done the complete cycle ripple; Signal list entries through signal continuation acquisition and modal filter group time constant adapt to the interference characteristic of high voltage electric power equip ment, is provided with the IIR filter group of being made up of a bandpass filter, low-pass filter, Hi-pass filter and some resistance wave filter (IIRG); Obtain the filtering output of 50Hz power frequency component through IIRG; Through electric power phase quantity algorithm, obtain the phasor phase differential of high voltage capacitive apparatus leakage current and busbar voltage, and then obtain high-precision insulation dielectric loss factor.This method adopts the Zigbee wireless sensor network as the communication mode between the distributed measurement unit, and configuration busbar voltage node is that Zigbee coordinator node, leakage current node and master node are the Zigbee routing node.
The present invention is applicable to the insulating monitoring of high voltage capacitive power equipment of the various electric pressure transformer station of industrial trades such as electric system (electrical network and generating plant) and metallurgy, chemical industry, railway, can realize high voltage capacitive apparatus status monitoring, safe early warning and the life-cycle cycle management function of intelligent grid.
The concrete steps and the technical essential of the high-precision signal processing scheme of the capacitive apparatus insulated on-line monitoring of realization high-tension electricity are following:
1) adopt distributed measuring unit on the spot to realize measurement on the spot respectively to high voltage capacitive apparatus leakage current and corresponding bus lines voltage.Wherein the bus voltage measurement unit is placed in the pulpit or special electric room, directly measures the secondary side output signal of bus-bar potential transformer (PT).Distributed leakage current measurement unit is installed near the scene the capacitive apparatus, adopts the punching small electric current sensor to measure the electric current of the end screen ground wire of capacitive apparatus.The sensor iron core adopts shielding and the output line of shielding layer grounding, sensor is adopted shielding and as far as possible short the leakage current measurement unit that is connected to.The measurement of single-phase current, voltage can be realized in each distributed measurement unit, also can realize the measurement of three-phase current, voltage.The main website of capacitive apparatus on-line monitoring is set, the double engineer station who does this system in electric room.
2) distributed leakage current measurement unit and distributed bus voltage measurement unit adopt the Zigbee network communication of wireless sensor.Each node of capacitive apparatus on-line monitoring system can be different Zigbee networks by different voltage ranking scores; Be applied as example with 220kV; The leakage current measurement unit of each capacitive apparatus of configuration 220kV is a routing node, has relay function, and configuration 220kV bus voltage measurement unit is the Zigbee coordinator node; Coordinator node is the host node of this Zigbee network, and configuration capacitive apparatus on-line monitoring main website is the Zigbee routing node.Content of Communication between all kinds of Zigbee nodes comprises: coordinator node broadcasting busbar voltage information; Each current measuring unit node (routing node) transmits the result of calculation of this capacitive apparatus medium loss factor to master node (routing node).
3) synchronized sampling is realized based on clock synchronization in distributed Voltage measuring unit and distributed leakage current measurement unit.Clock synchronization adopts wireless mode, the GPS that can select to use miniature antenna to the time, or the IEC1588 of wireless ethernet to the time etc.Distributed leakage current measurement unit and distributed bus voltage measurement unit be through clock synchronization, by the sampling of cycle T 1 start timing signal, a cycle (20ms) data of sampling, be designated as S (0), S (1) ..., S (N-1); Wherein the T1 value can be from several ms to tens second, and for example value is 1 second, with time-division date and the whole second startup sampling of absolute time.Sampling rate is not less than 1.6kHz.Accomplish this cycle sampling back and stop the sampling interruption, open sampling when waiting next T1 to arrive constantly once more and interrupt.
4) in distributed leakage current measurement unit and bus voltage measurement unit, calculate phasor respectively accurately, comprise phasor real part and imaginary part, comprise phasor phase place and amplitude information.Calculate and adopt identical algorithm and processing procedure, the details step is following:
4.1) with cycle data of this sampling S (0), S (1) ..., S (N-1) do pre-service, obtain long data field through periodic extension, to overcome the time lag characteristic of IIRG bank of filters.Constant T time lag of the amount of cycles M of continuation and IIRG bank of filters DelayRelevant, M>=T Delay/ 20ms+2.The sampled signal continuation solves the matching relationship of periodic samples analysis and IIR filter group.
4.2) make up IIRG bank of filters to the 50Hz common frequency power network.Bank of filters adopts a plurality of IIR filter cascades to form, the some resistance filtering IIR that comprises 40Hz high pass IIR, 60Hz low pass IIR, the logical IIR of 50Hz point and can select to dispose.Its mid point resistance filtering is considered possibly have the large-scale power electronic equipment that adopts IGBT near the high-tension electricity capacitive apparatus, for example power equipment such as STACOM, SVG.These equipment possibly cause the harmonic wave of some CF; Between capacitive apparatus on-line monitoring system limber up period; Can in 40Hz~60Hz, whether there be serious mark subharmonic through isolated-phase buses voltage, determines whether that collocation point resistance iir filter is used for the influential mark subharmonic of special filtering in the IIRG bank of filters.Wave filter cascade quantity and sampling rate have determined constant time lag of IIRG bank of filters.
4.3) Fourier phase quantity algorithm is used in the filtering output of IIRG bank of filters, calculate phasor real part imaginary part.By the voltage phasor real part imaginary part of bus voltage measurement unit (Zigbee coordinator node) this this calculating of node of Zigbee Web broadcast under it, transmit timing signal in the communication simultaneously.The insulation that each leakage current measurement unit (Zigbee routing node) utilizes leakage current phasor that calculates and the busbar voltage phasor calculation that receives to obtain this capacitive apparatus is situated between and decreases.
5) master node (Zigbee routing node) is given in real time through insulation Jie damage that the Zigbee network will calculate in each distributed leakage current measurement unit (Zigbee routing node).Realize each capacitive apparatus insulated trend analysis and safe early warning by main website.
Description of drawings
Fig. 1 is the on-the-spot synoptic diagram of the capacitive apparatus insulated monitoring of high-tension electricity.Bus and one group of high-voltage capacitor of certain electric pressure have been illustrated.Busbar voltage is measured through voltage transformer (VT) (PT), and the secondary side output of voltage transformer (VT) is gathered in distributed bus voltage measurement unit, is positioned at electric room.The capacitive apparatus leakage current is measured through the little electric current punching mutual inductor of special configuration, and distributed leakage current measurement unit is placed near the capacitive apparatus, to improve the reliability of leakage current signal sensing.
Fig. 2 is the signal processing flow synoptic diagram.Strictness through bus voltage measurement unit and leakage current measurement unit to the time performance period property signal distributions gather; A cycle sampled signal continuation is obtained to adapt to the input signal of IIRG bank of filters; Utilization is through the leakage current with accurate phase information and the bus voltage signal of IIRG bank of filters filtering output, and insulation Jie who obtains this capacitive apparatus through Fourier phasor algorithm computation decreases.
Fig. 3 is the classification synoptic diagram of Zigbee node in the capacitive apparatus insulated monitoring system.Illustrated the configuration of Zigbee coordinator node and Zigbee routing node.1. communication step preface between the Zigbee node is pressed, is 2. marked.
Fig. 4 is the signal curve of applicating example example 1 (normal condition), and left figure is a cycle sampled signal of leakage current and busbar voltage, and right figure is the curve after the IIRG bank of filters is handled, and wherein black curve is that electric current, red curve are voltage.
Fig. 5 is the signal curve of applicating example example 2 (insulation degradation state), and left figure is a cycle sampled signal of leakage current and busbar voltage, and right figure is the curve after the IIRG bank of filters is handled, and wherein black curve is that electric current, red curve are voltage.
Embodiment
Below with the dynamic simulation test data of capacitive apparatus insulated deterioration as data source, the present invention is explained further details.
With leakage current and the busbar voltage thereof that the sampling rate of 2500Hz is gathered capacitive apparatus in real time, process IIRG bank of filters (logical IIR constitutes by 60Hz low pass IIR, 40Hz high pass IIR and 50Hz point).Acquisition system is set regularly periodically started sampling and data processing in 5 seconds, the concrete startup constantly is beginning in zero second in whole minute of satellite clock (GPS).Table 1 is an IIRG bank of filters coefficient.
Table 1 IIRG bank of filters coefficient
Figure GSA00000026637200041
The capacitive apparatus impedance parameter is R=2.4K Ω, C=0.6uF.The insulated on-line monitoring of this patent calculates as follows, and table 2 provides the raw data of a cycle of distributed measurement and control unit sampling, comprises the AD sampled voltage data of the sensor secondary output signal of capacitive apparatus leakage current, busbar voltage.Fig. 4 provides signal crude sampling waveform and through the output of IIRG bank of filters filtering; Left figure is the sample waveform that comprises under the electromagnetic interference environment after the signal progress of disease error; Right figure is the output signal after the Filtering Processing, and wherein black curve is that electric current, red curve are voltage.Table 3 provides a cycle signal data after the IIRG bank of filters is handled.
The original sampling data of table 2 distributed measurement unit
Sequence number k i [k] u [k] Sequence number k i [k] u [k] Sequence number k i [k] u [k]
0 2.5800 2.7600 17 2.3600 2.4800 34 2.5200 2.3200
1 2.5600 2.8000 18 2.3800 2.4800 35 2.5400 2.4000
2 2.5600 2.8000 19 2.3400 2.4400 36 2.5600 2.3600
3 2.5400 2.8000 20 2.3400 2.4400 37 2.5400 2.4400
4 2.5200 2.7600 21 2.3600 2.3600 38 2.5600 2.4400
5 2.5000 2.8400 22 2.3400 2.3600 39 2.5800 2.4800
6 2.4800 2.8400 23 2.3800 2.3600 40 2.5800 2.5200
7 2.4600 2.7600 24 2.3600 2.3200 41 2.6000 2.5600
Figure GSA00000026637200051
The sampled data of table 3 after IIRG handles
Sequence number k i [k] u [k] Sequence number k i [k] u [k] Sequence number k i [k] u [k]
0 1.5691 ?4.0734 17 ?-2.0254 -0.5972 34 ?0.6007 ?-3.4513
1 1.3817 ?4.2754 18 ?-2.0792 -1.1506 35 ?0.8504 ?-3.0599
2 1.1727 ?4.4111 19 ?-2.1012 -1.6843 36 ?1.0874 ?-2.6209
3 0.9457 ?4.4766 20 ?-2.0925 -2.1901 37 ?1.3055 ?-2.1415
4 0.7029 ?4.4687 21 ?-2.0497 -2.6627 38 ?1.5015 ?-1.6270
5 0.4484 ?4.3932 22 ?-1.9751 -3.0948 39 ?1.6749 ?-1.0883
6 0.1863 ?4.2542 23 ?-1.8687 -3.4752 40 ?1.8220 ?-0.5316
7 -0.0792 4.0444 24 ?-1.7325 -3.8005 41 ?1.9406 ?0.0344
8 -0.3428 3.7701 25 ?-1.5702 -4.0687 42 ?2.0290 ?0.5980
9 -0.6016 3.4362 26 ?-1.3831 -4.2735 43 ?2.0849 ?1.1505
10 ?-0.8501 3.0482 27 ?-1.1732 -4.4121 44 ?2.1076 ?1.6859
11 ?-1.0848 2.6128 28 ?-0.9451 -4.4804 45 ?2.0971 ?2.1957
12 ?-1.3031 2.1321 29 ?-0.7040 -4.4752 46 ?2.0524 ?2.6722
13 ?-1.5005 1.6190 30 ?-0.4510 -4.4023 47 ?1.9758 ?3.1057
14 ?-1.6742 1.0818 31 ?-0.1892 -4.2632 48 ?1.8700 ?3.4896
15 ?-1.8203 0.5266 32 ?0.0762 ?-4.0582 49 ?1.7356 ?3.8183
16 ?-1.9379 -0.0352 33 ?0.3409 ?-3.7860
His-and-hers watches 3 The data Fourier phasor algorithm computation phasors, calculate as follows:
Re = Σ i = 0 49 ( cos ( 2 π 50 · i ) · X ( i ) ) , Im = Σ i = 0 49 ( sin ( 2 π 50 · i ) · X ( i ) ) , A = Re 2 + Im 2 ,
θ = arctg ( Im Re ) , tanδ=tan(π/2-(θ iu))
Wherein, X (i) is the sample sequence of input signal, and Re is that phasor real part, Im are the phasor imaginary parts, and A is a phasor amplitude, and θ is the phasor phase place, and tan δ decreases factor for insulation is situated between.
Result of calculation is as shown in table 4.It is 0.4337 that insulation Jie decreases factor.
Table 4 phasor calculation result
Real part imaginary part phase place
I -35.0843 ?39.2763 -0.8417
U 47.0384 101.8971 ?1.1383
The capacitive apparatus insulated horizontal deterioration of following surface analysis in above-mentioned test, resistance value has 2.4k Ω to drop to 1k Ω, and electric capacity is constant, and the insulation behind the analysis insulation degradation is situated between to decrease and calculates.Table 5 provides the synchronized sampling value to leakage current and busbar voltage, the cycle of sampling.Table 6 is through the filtered signal of IIRG bank of filters, and visible filter effect is desirable.
The crude sampling of table 5 distributed measurement unit
Figure GSA00000026637200061
Leakage current and the bus voltage signal of table 6 after IIRG handles
Sequence number k i [k] u [k] Sequence number k i [k] u [k] Sequence number k i [k] u [k]
0 -1.6262 3.4439 17 ?-0.6911 -4.6652 34 ?2.3624 1.5658
1 -1.8434 2.9964 18 ?-0.3897 -4.7743 35 ?2.2581 2.1199
2 -2.0337 2.5026 19 ?-0.0807 -4.8050 36 ?2.1179 2.6416
3 -2.1906 1.9732 20 ?0.2310 ?-4.7600 37 ?1.9455 3.1228
4 -2.3119 1.4142 21 ?0.5392 ?-4.6405 38 ?1.7413 3.5514
5 -2.3985 0.8297 22 ?0.8367 ?-4.4440 39 ?1.5100 3.9235
6 -2.4467 0.2316 23 ?1.1200 ?-4.1742 40 ?1.2554 4.2361
7 -2.4549 -0.3707 24 ?1.3874 ?-3.8408 41 ?0.9806 4.4849
8 -2.4245 -0.9702 25 ?1.6335 ?-3.4495 42 ?0.6899 4.6613
9 -2.3575 -1.5524 26 ?1.8520 ?-2.9995 43 ?0.3880 4.7607
10 ?-2.2551 -2.1084 27 ?2.0411 ?-2.5008 44 ?0.0799 4.7895
11 ?-2.1181 -2.6321 28 ?2.1979 ?-1.9665 45 ?-0.2323 ?4.7453
12 ?-1.9476 -3.1155 29 ?2.3191 ?-1.4002 46 ?-0.5397 ?4.6270
13 ?-1.7441 -3.5488 30 ?2.4041 ?-0.8113 47 ?-0.8363 ?4.4343
14 ?-1.5121 -3.9231 31 ?2.4520 ?-0.2115 48 ?-1.1213 ?4.1709
15 ?-1.2581 -4.2355 32 ?2.4597 ?0.3897 49 ?-1.3878 ?3.8439
16 ?-0.9825 -4.4840 33 ?2.4288 ?0.9852
Fig. 5 has illustrated sampling original waveform behind the insulation degradation (left figure) and IIRG filtering output waveform (right figure) thereof, and wherein black is current signal, and redness is a voltage signal.Comparison diagram 5 right figure and the right figure of Fig. 4, visible relative phase relation from signal can be judged insulation degradation.The phasor values of calculation of filtered output data is as shown in table 7, and it is 0.0478 that its insulation Jie decreases factor, with 0.4337 before the deterioration bigger difference is arranged.
Table 7 phasor calculation result
Real part imaginary part phase place
I -46.1643 ?-40.6982 ?0.7226
U -83.5404 ?86.1065 -0.8005

Claims (2)

1. high-precision signal disposal route that is used for the capacitive apparatus insulated on-line monitoring of high-tension electricity; This method is to capacitive apparatus configuration independently distributed leakage current measurement unit and distributed bus voltage measurement unit; Two measuring units are realized the signal Synchronization sampling based on communication, specifically comprise step:
1) distributed leakage current measurement unit and distributed bus voltage measurement unit be through clock synchronization, by the sampling of cycle T 1 start timing signal, the cycle data of sampling, be designated as S (0), S (1) ..., S (N-1); Wherein cycle T 1 value from several millisecond by tens seconds;
2) sampled value of a cycle is done periodic extension, obtains the data of M identical cycle, be designated as S (0), S (1) ..., S (N-1) ..., S ((M-1) * N), S ((M-1) * N+1) ..., S ((M-1) * N+N-1);
3) by the IIRG bank of filters to step 2) described in the data of M identical cycle carry out Filtering Processing, filtered signal is desirable power frequency leakage current and bus voltage signal; Described IIRG bank of filters is made up of the logical IIR filter cascade of high pass IIR filter, low pass IIR filter and point;
4) utilize the fourier algorithm of phasor to calculate output signal respectively, obtain phasor values, comprise real part, the imaginary part of phasor based on this sampling clock through the filtering of the described IIRG bank of filters of step 3);
5) utilize Zigbee network communication of wireless sensor between distributed leakage current measurement unit and the distributed bus voltage measurement unit, real part, the imaginary part of busbar voltage phasor is sent to distributed leakage current measurement unit in cycle T 1;
6) real part of the local leakage current phasor of calculating of distributed leakage current measurement unit by using, imaginary part and calculate the insulation that obtains this high-tension electricity capacitive apparatus through real part, the imaginary part of the busbar voltage phasor of communications reception and be situated between and decrease factor.
2. a kind of high-precision signal disposal route that is used for the capacitive apparatus insulated on-line monitoring of high-tension electricity according to claim 1, wherein being characterized as of the collocation method of IIRG bank of filters: the cutoff frequency of said low pass IIR filter is that 60Hz, said high pass IIR filter cutoff frequency are that the logical IIR filter centre frequency of 40Hz, said point is 50Hz.
CN2010101193874A 2010-03-08 2010-03-08 High-precision signal processing method for insulation online monitoring of high-voltage electric-power capacitive equipment Expired - Fee Related CN102095938B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010101193874A CN102095938B (en) 2010-03-08 2010-03-08 High-precision signal processing method for insulation online monitoring of high-voltage electric-power capacitive equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010101193874A CN102095938B (en) 2010-03-08 2010-03-08 High-precision signal processing method for insulation online monitoring of high-voltage electric-power capacitive equipment

Publications (2)

Publication Number Publication Date
CN102095938A CN102095938A (en) 2011-06-15
CN102095938B true CN102095938B (en) 2012-11-21

Family

ID=44129110

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010101193874A Expired - Fee Related CN102095938B (en) 2010-03-08 2010-03-08 High-precision signal processing method for insulation online monitoring of high-voltage electric-power capacitive equipment

Country Status (1)

Country Link
CN (1) CN102095938B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103134995A (en) * 2013-01-31 2013-06-05 云南电力试验研究院(集团)有限公司电力研究院 Information fusion method for transformer substation Internet of Things monitoring

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102866304B (en) * 2012-09-18 2014-12-24 云南电力试验研究院(集团)有限公司电力研究院 Current phasor group-based online insulation monitoring method for high-voltage power capacitive equipment
CN103869222B (en) * 2012-12-12 2017-07-25 山东电力集团公司济宁供电公司 Bus insulation condition monitoring system and monitoring method
CN103148928B (en) * 2013-01-29 2015-04-22 北京信息科技大学 Generator stator end winding degradation diagnosis method based on correlation analysis of electrical quantities and mechanical quantities
CN103604991B (en) * 2013-11-26 2017-03-08 国家电网公司 The busbar voltage phase measurement device of capacitance type potential transformer and method
CN104034977B (en) * 2014-05-29 2016-09-07 国家电网公司 Capacitance type potential transformer live detection instrument
CN104155522B (en) * 2014-08-15 2018-01-02 国家电网公司 The method with reference to phasor is wirelessly transferred in analog quantity or phasor measurement
CN104375065A (en) * 2014-11-12 2015-02-25 国家电网公司 Wireless automatic electrical equipment insulating property monitoring system
CN104730343A (en) * 2015-03-18 2015-06-24 中电科技电子信息***有限公司 High voltage electricity capacitive equipment dielectric loss on-line monitoring method and monitoring system
CN107478959A (en) * 2017-09-08 2017-12-15 苏州鹿鸣智能科技有限公司 A kind of Monitoring System for Power Distribution Network and method
CN108333439A (en) * 2018-03-21 2018-07-27 广东电网有限责任公司电力科学研究院 A kind of bushing shell for transformer dielectric loss and capacitance monitor system
CN109116098A (en) * 2018-10-09 2019-01-01 上海方融自动化设备有限公司 A kind of multi-loop electric tolerance detection system
US11360130B2 (en) * 2019-06-20 2022-06-14 Schneider Electric USA, Inc. Distributed electrical energy meter
CN111913127B (en) * 2020-06-29 2023-05-16 中铁第一勘察设计院集团有限公司 Intelligent detection device and method for tubular bus
CN117406046B (en) * 2023-12-14 2024-03-08 凯恩茨(福州)工业有限公司 Partial discharge detection device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4689752A (en) * 1983-04-13 1987-08-25 Niagara Mohawk Power Corporation System and apparatus for monitoring and control of a bulk electric power delivery system
CN201047863Y (en) * 2007-05-30 2008-04-16 上海龙源智光电力技术有限公司 GPS clock signal based high voltage capacity equipment insulation online monitoring system
CN201402293Y (en) * 2009-04-22 2010-02-10 中国电力科学研究院 Distributed wireless insulation live testing system for high-voltage equipment

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0783975A (en) * 1993-09-14 1995-03-31 Kawaju Bosai Kogyo Kk Insulation monitor for electric circuit of non-grounded wiring system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4689752A (en) * 1983-04-13 1987-08-25 Niagara Mohawk Power Corporation System and apparatus for monitoring and control of a bulk electric power delivery system
CN201047863Y (en) * 2007-05-30 2008-04-16 上海龙源智光电力技术有限公司 GPS clock signal based high voltage capacity equipment insulation online monitoring system
CN201402293Y (en) * 2009-04-22 2010-02-10 中国电力科学研究院 Distributed wireless insulation live testing system for high-voltage equipment

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JP特开平7-83975A 1995.03.31
柴黎等.IIR数字滤波器设计和MATLAB实现.《北京高教学会实验室工作研究会2009年学术研讨会论文集》.2009, *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103134995A (en) * 2013-01-31 2013-06-05 云南电力试验研究院(集团)有限公司电力研究院 Information fusion method for transformer substation Internet of Things monitoring

Also Published As

Publication number Publication date
CN102095938A (en) 2011-06-15

Similar Documents

Publication Publication Date Title
CN102095938B (en) High-precision signal processing method for insulation online monitoring of high-voltage electric-power capacitive equipment
CN106771645B (en) Capacitance type potential transformer dielectric loss and capacitance on-line monitoring method and monitoring system
CN201637791U (en) Online monitoring system for high-voltage shunt capacitor
CN101710158B (en) Substation automation system (SAS) with insulation on-line monitoring function for high voltage electric power equipment
JP5775641B2 (en) System and method for monitoring the state of power equipment by constant measurement of on-line electrical circuits
CN102680799B (en) Transformer substation capacitor on-line monitoring method and device based on wireless mode
CN101387670B (en) Dielectric loss on-line measurement apparatus for power capacitor
CN103134995A (en) Information fusion method for transformer substation Internet of Things monitoring
CN102565626A (en) On-line positioning method and system of section with low-current ground faults
CN101833051A (en) Electrified tester for zinc oxide arrester
CN102129763A (en) CVT (Capacitor Voltage Transformer) online monitoring system
CN104142422A (en) Transformation substation leakage current and capacitive current online monitoring management system and working method thereof
CN103604991A (en) Device and method for measuring bus voltage phase of capacitor voltage transformer
CN102064537A (en) Method for judging and processing single-phase earth faults by using electronic mutual inductor
CN104898021A (en) Fault line selecting method based on k-means cluster analysis for power distribution network
CN103513125A (en) Integrated intelligent diagnosis system and method of above-220KV transformers
CN102401870A (en) Method for measuring single phase ground fault distance of distribution network based on Hilbert-huang transform and genetic algorithm
CN102129018A (en) Insulation online monitoring method for high-voltage capacitive equipment
CN103344911B (en) A kind of high-voltage direct-current switch disconnection overall process state identification method
CN105004943A (en) Electric energy quality monitoring and electric energy metering device that can be mounted and dismounted in an electrified manner at a high-tension side
CN201654153U (en) Live tester of zinc oxide arrester
CN104375005A (en) Networked wind power plant harmonic wave monitoring system and method
CN106569096B (en) A kind of tuning on-line method of power distribution network single-phase fault
CN202903892U (en) A transformer station capacitance on-line monitoring device based on a wireless mode
CN103761577A (en) Capacitive type device auxiliary decision making system based on risk assessment and condition evaluation

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C17 Cessation of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20121121

Termination date: 20130308