CN107064743A - Power distribution network transient state ripple failure tracking method and device based on cloud analysis with identification - Google Patents
Power distribution network transient state ripple failure tracking method and device based on cloud analysis with identification Download PDFInfo
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- CN107064743A CN107064743A CN201710240973.6A CN201710240973A CN107064743A CN 107064743 A CN107064743 A CN 107064743A CN 201710240973 A CN201710240973 A CN 201710240973A CN 107064743 A CN107064743 A CN 107064743A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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- General Physics & Mathematics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a kind of power distribution network transient state ripple failure tracking method and device based on cloud analysis with identification, device includes the data acquisition unit in 3~35kV mesolow distribution line, the collecting unit carries out data exchange by zigbee wireless networks with monitoring main frame, data after processing are uploaded to Cloud Server by the monitoring main frame by wireless private network, and the Cloud Server is sent to each terminal device after data are analyzed and processed.The present invention have the advantages that can fast and accurately the various distribution line failures of on-line checking, can to distribution line carry out in real time effectively monitoring and defect can be found before failure according to the operation characteristic state of circuit.
Description
Technical field
The present invention relates to transmission line faultlocating technology, more particularly, to one kind can fast and accurately on-line checking be various matches somebody with somebody
Line fault, can to distribution line carry out in real time effectively monitor and can be sent out according to the operation characteristic state of circuit before failure
The power distribution network transient state ripple failure tracking method and device based on cloud analysis with identification of existing defect.
Background technology
3~35kV of China mesolow distribution lines transmission range is farther out, with a varied topography on the way, natural environment and climate condition compared with
Difference, along with power supply pressure, causes line failure rate to raise, malfunction elimination difficulty is big, the traditional analog type failure that early stage develops
Indicator only possesses local board turning with display function, it is necessary to which personnel on site investigates, and malfunction elimination is less efficient so that stop after failure
The electric time is longer.With the development of technology, distant type fault detector is occurred in that, possesses certain transporting function, can be by scene letter
Still there are the deficiencies of many in terms of number reaching monitor supervision platform, but the failure degree of accuracy and station field signal, the earth fault degree of accuracy is not
Height, website disperses, and does not make overall planning, and arranges and is brought than larger trouble to back-end data, it is impossible to the problem of solving actual, and
And there is no good solution for the judgement of earth fault yet.
The content of the invention
To overcome the shortcoming of prior art, present invention aims at provide one kind can fast and accurately on-line checking it is various
Distribution line failure, can to distribution line carry out in real time effectively monitoring and can be according to the operation characteristic state of circuit before failure
It was found that the device based on cloud analysis with the power distribution network transient state ripple failure tracking of identification of defect.
What the present invention was realized by following technical measures, it is a kind of to be followed based on cloud analysis and the power distribution network transient state ripple failure of identification
The device of mark, including the data acquisition unit in 3~35kV mesolow distribution line, the collecting unit pass through
Zigbee wireless networks carry out data exchange with monitoring main frame, and the monitoring main frame passes through the data after processing on wireless private network
Cloud Server is transmitted to, the Cloud Server is sent to each terminal device after data are analyzed and processed.
As a kind of preferred embodiment, the terminal device is one kind or many in computer, tablet personal computer, smart mobile phone
Kind.
As a kind of preferred embodiment, the data acquisition unit includes load current Acquisition Circuit, real-time voltage collection electricity
Road and line temperature sensor.
As a kind of preferred embodiment, the data acquisition unit is hung in distribution line phase line, and is provided with a earth
Form the sheet metal of electric capacity.
As a kind of preferred embodiment, be in series with a metal-oxide-semiconductor between the data acquisition unit and power supply, the metal-oxide-semiconductor by
Control in a hardware timer, by the additional control process technology of hardware timer, switch metal-oxide-semiconductor, directly turn off system power supply
And restart.
As a kind of preferred embodiment, the power supply of the data acquisition unit is high voltage induction power taking power supply or/and electric current sense
Answer power taking power supply.
The invention also discloses a kind of method based on cloud analysis with the power distribution network transient state ripple failure tracking of identification, including such as
Lower step：
(1) data acquisition unit measures the electric current in 3~35kV mesolow distribution line by electromagnetic induction method, and
Judge whether the electric current in measured circuit produces mutation, next step is carried out if producing mutation and otherwise continues this step；
(2) current break or actual short size of current, trouble duration and line by being measured in circuit
Whether road has a power failure to judge whether to produce failure, and otherwise carry out next step if producing failure performs step (1)；
(3) line fault information is received to monitoring main frame transmitting line fault message by zigbee wireless networks
Monitoring main frame, to the transmission of each data acquisition unit, temporarily the startup of drop waveform is ordered immediately；
(4) each data acquisition unit uploads the electric field and electric current of fixed cycle before and after failure occurs after recording end cycle
Wave data；
(5) after data of the monitoring main frame according to each data acquisition unit upload received, binding time synchronizing signal, event
Hinder the recorder data that recording starts order and agreement sample frequency, monitoring main frame is realized the synthesis of zero sequence transient signal, finally supervised
Survey main frame and generated data is uploaded into Cloud Server；
(6) Cloud Server carries out comprehensive analysis processing, determines distribution line failure point and fault type.
As a kind of preferred embodiment, also include after step (6)
(7) fault type for determining distribution line failure point and analysis is sent to terminal device by Cloud Server.
As a kind of preferred embodiment, data acquisition unit uses online by collection three-phase line in real time in step (1)
Electric current, line-to-ground electric field judge voltage dip, freeze failure three-phase transient current, three-phase wireless synchronization calculate zero-sequence current and
Active signal injects information.
As a kind of preferred embodiment, when electric field decrease beyond default threshold values in step (2), into sentencing for earth fault
Disconnected state.
The present invention is the power distribution network transient state ripple failure tracking device based on cloud analysis with identification, mainly by front end wireless sensing
Device cloud network and rear end cloud data processing centre composition, by monitoring short trouble, earth fault in real time, breaking, stop sending a little etc.
Situation, monitoring main frame is sent to by collecting unit by the fault characteristic information collected and failure temporal pattern data, prison
Survey main frame and transmit data to Cloud Server by way of wireless private network again, system software is shown by data analysis, alarm
Circular, fault statistics retrieval and inquiry form, so as to guide attendant quick and precisely to find trouble point, realize that failure is quickly followed
Mark.The present invention can fast and accurately on-line checking short trouble, earth fault, situations such as break, stop power transmission, to distribution netting twine
Road main line, the operating load state of branch line carry out in real time effectively monitoring；The present invention can be according to the operation characteristic state of circuit, first
In finding defect before failure, to carry out line upkeep in advance；Fault zone can be quick and precisely positioned, trouble shoot is significantly reduced
Scope, shortens power off time, effectively improves power supply reliability；Set for line optimization transformation, load prediction and control, auxiliary specification
The safety and economic operation of meter and power distribution network provides reliable Data safeguard, so as to guide attendant quick and precisely to find failure
Point, to improve operating efficiency, mitigating attendant's labor intensity, there is provided a kind of strong means.Simultaneous faults information can be with
Power supply production all departments director is sent to, on the mobile phone of line attendant by short message mode, distribution wire can be effectively improved
The automation of road fault detect and modernization level, provide scientific and effective foundation for line security in time.
Brief description of the drawings
Fig. 1 is the structural representation of the embodiment of the present invention.
Fig. 2 is the structural representation of data acquisition unit of the embodiment of the present invention.
Embodiment
With reference to embodiment and compare accompanying drawing the present invention is described in further detail.
A kind of power distribution network transient state ripple failure tracking method and device based on cloud analysis with identification, with reference to Fig. 1, including are installed
Data acquisition unit 10 in 3~35kV mesolow distribution line 20, the collecting unit 10 passes through zigbee wireless networks
Network carries out data exchange with monitoring main frame 30, and the data after processing are uploaded to cloud by wireless private network and taken by the monitoring main frame 30
Business device 40, the Cloud Server 40 is sent to each terminal device, such as computer 50, tablet personal computer after data are analyzed and processed
40th, smart mobile phone 60 etc..
Its method comprises the following steps：
(1) data acquisition unit 10 measures the electricity in 3~35kV mesolow distribution line 20 by electromagnetic induction method
Stream, and judge whether the electric current in measured circuit produces mutation, next step is carried out if producing mutation and otherwise continues this step
Suddenly；
(2) current break or actual short size of current, trouble duration and line by being measured in circuit
Whether road has a power failure to judge whether to produce failure, and otherwise carry out next step if producing failure performs step (1)；
(3) line fault information is received to the monitoring transmitting line fault message of main frame 30 by zigbee wireless networks
Monitoring main frame 30 immediately to each data acquisition unit 10 send temporarily drop waveform start order；
(4) each data acquisition unit 10 uploads the electric field of fixed cycle and electricity before and after failure occurs after recording end cycle
Flow Wave data；
(5) after data of the monitoring main frame 30 according to each data acquisition unit upload received, binding time synchronizing signal,
Failure wave-recording starts the recorder data of order and agreement sample frequency, and monitoring main frame 30 realizes the synthesis of zero sequence transient signal, most
Generated data is uploaded to Cloud Server 40 by monitoring main frame 30 afterwards；
(6) Cloud Server 40 carries out comprehensive analysis processing, determines distribution line failure point and fault type；
(7) fault type for determining distribution line failure point and analysis is sent to terminal device by Cloud Server 40.
The system is the power distribution network transient state ripple failure tracking device based on cloud analysis with identification, mainly by front end wireless sensing
Device cloud network and rear end cloud data processing centre composition, by monitoring short trouble, earth fault in real time, breaking, stop sending a little etc.
Situation, monitoring main frame is sent to by collecting unit by the fault characteristic information collected and failure temporal pattern data, prison
Survey main frame and transmit data to Cloud Server by way of wireless private network again, system software is shown by data analysis, alarm
Circular, fault statistics retrieval and inquiry form, so as to guide attendant quick and precisely to find trouble point, realize that failure is quickly followed
Mark.The system can fast and accurately on-line checking short trouble, earth fault, situations such as break, stop power transmission, to distribution netting twine
Road main line, the operating load state of branch line carry out in real time effectively monitoring；This hair can according to the operation characteristic state of circuit, prior to
Defect is found before failure, to carry out line upkeep in advance；Fault zone can be quick and precisely positioned, trouble shoot model is significantly reduced
Enclose, shorten power off time, effectively improve power supply reliability；For line optimization transformation, load prediction and control, auxiliary Specification Design
And the safety and economic operation of power distribution network provides reliable Data safeguard, so that guide attendant quick and precisely to find trouble point,
To improve operating efficiency, mitigating attendant's labor intensity, there is provided a kind of strong means.Simultaneous faults information can pass through
Short message mode is sent to power supply production all departments director, on the mobile phone of line attendant, distribution line can be effectively improved therefore
Hinder automation and the modernization level of detection, provide scientific and effective foundation in time for line security.
Distribution Network Equipment monitoring unified interface standard is formulated, with monitoring main frame Direct Communication, field failure monitoring number is obtained
According to；Short circuit grounding malfunction monitoring, Real-time Load monitoring, backstage failure topology distribution figure scheduling algorithm provide auxiliary for field monitoring personnel
The method for helping analysis；Meanwhile, platform will build knowledge base model.Platform effectively manages live monitoring number by information-based means
According to, power failure test data, specialized data analysis, diagnosis are monitored, the monitoring of operating maintenance unit and analysis work is made
The professional tool of work.
In the present embodiment, with reference to Fig. 1, specifically it is also possible that data acquisition unit on the basis of previous technique scheme
10 include load current Acquisition Circuit, real-time voltage Acquisition Circuit and line temperature sensor.To the negative in real time of distribution line 20
Charged current, real-time voltage, real time temperature are measured and transmitted, and sensing node passes to monitoring master by zigbee wireless networks
Machine, monitoring main frame is analyzed the sensing data received, handled, computing, storage, and the number after operating analysis is handled
According to by GSM/GPRS networks be uploaded to Cloud Server 40 by the central computer 40 of power supply administration carry out it is patterning display (curve
Form), the platform software of central computer can to the further analysis of data, by line fault presentation of information in central platform, and
Staff is notified further to analyze, solve the problems, such as.
In the present embodiment, with reference to Fig. 1, specifically it is also possible that data acquisition unit on the basis of previous technique scheme
10 hang in the phase line of distribution line 20, and are provided with the sheet metal that a earth forms electric capacity.Due to data acquisition unit 10
Mounting means is to hang in distribution line phase line, it is impossible to is contacted with zero line, can only carry out the detection of electric-field intensity.Installed in number
A bulky capacitor is formed with the earth according to the sheet metal on collecting unit 10, has electric capacity to produce electric field, passes through interior partial compaction
Detection electric field change is surveyed, when earth fault occurs, normal conditions faulted phase voltage declines, and non-faulting phase voltage rises, based on this,
The temporary drop of voltage is judged by electric field, master chip collects electric field data, current electric field waveform preserved, in step
(2) when electric field decrease beyond default threshold values in, 30% electric field difference is given tacit consent to, into the judgement state of earth fault.
In the present embodiment, with reference to Fig. 2, specifically it is also possible that data acquisition unit on the basis of previous technique scheme
A metal-oxide-semiconductor 12 is in series between main frame 13 and power supply 11, the metal-oxide-semiconductor 12 is controlled by a hardware timer 14, it is fixed by hardware
When the additional logic control treatment technology of device 14, switch metal-oxide-semiconductor 12, directly system power supply is turned off and restarted.Traditional reset skill
Art is substantially the processing for not departing from software often by soft mode or additional house dog, and software can exist unstable
Situation, when software goes wrong, it is impossible to carry out system reset, the present invention uses pure hardware technology, the front end of main frame 13 increase MOS
Pipe, gone here and there with power supply 11 together with, pass through the additional control process technology of hardware timer 14, switch metal-oxide-semiconductor, directly by system power supply
Turn off and restart, fundamentally solve the problems, such as system active homing.The backup battery of collecting unit 10 uses lithium thionyl chloride cell,
Lithium thionyl chloride cell self-discharge rate is very small, and because system uses high pressure way to take power, usually circuit has electricity condition substantially not
Using lithium thionyl chloride cell, such lithium thionyl chloride cell long-term disposal no-load running state, it is of long duration after, internal lithium ion
In inert condition, when external electricity fails, lithium thionyl chloride cell can not effectively provide required pulse current, after not having
The effect of standby battery.Backup system is combined by the present invention with control output, with collecting unit LED indicating modules and electricity
Magnetic coil control module is load, and master chip sends unlatching cell activation instruction, sub- to lithium in the case of rationally control power consumption
Chlorosulfuric acid battery is periodically discharged, and soak time can be adjusted according to environment, be configured by host remote, be defaulted as
3 months, play a part of periodically activating, so as to extend system working life.
In the present embodiment, with reference to Fig. 1, specifically it is also possible that data acquisition unit on the basis of previous technique scheme
10 power supply is high voltage induction power taking power supply or/and electric current sensing power taking power supply.
In the present embodiment, it is specific on the basis of previous technique scheme it is also possible that being counted in step (1) with reference to Fig. 1
According to collecting unit 10 using by real time collection three-phase line line current, line-to-ground electric field judge voltage dip, freeze therefore
Hinder three-phase transient current, three-phase wireless synchronization and calculate zero-sequence current and active signal injection information.
Above is being carried out to the present invention based on cloud analysis and the power distribution network transient state ripple failure tracking method of identification with device
Illustrate, be used to help understand the present invention, but embodiments of the present invention and be not restricted to the described embodiments, it is any without departing from this
Change, modification, replacement, combination, the simplification made under inventive principle, should be equivalent substitute mode, are included in the present invention
Protection domain within.
Claims (10)
1. a kind of device based on cloud analysis with the power distribution network transient state ripple failure tracking of identification, it is characterised in that：Including installed in 3
Data acquisition unit in~35kV mesolow distribution line, the collecting unit is led by zigbee wireless networks with monitoring
Machine carries out data exchange, and the data after processing are uploaded to Cloud Server, the cloud clothes by the monitoring main frame by wireless private network
Business device is sent to each terminal device after data are analyzed and processed.
2. the device according to claim 1 based on cloud analysis with the power distribution network transient state ripple failure tracking of identification, its feature
It is：The terminal device is the one or more in computer, tablet personal computer, smart mobile phone.
3. the device according to claim 1 based on cloud analysis with the power distribution network transient state ripple failure tracking of identification, its feature
It is：The data acquisition unit includes load current Acquisition Circuit, real-time voltage Acquisition Circuit and line temperature sensor.
4. the device according to claim 1 based on cloud analysis with the power distribution network transient state ripple failure tracking of identification, its feature
It is：The data acquisition unit is hung in distribution line phase line, and is provided with the sheet metal that a earth forms electric capacity.
5. the device according to claim 1 based on cloud analysis with the power distribution network transient state ripple failure tracking of identification, its feature
It is：A metal-oxide-semiconductor is in series between the data acquisition unit and power supply, the metal-oxide-semiconductor is controlled by a hardware timer, passed through
The additional control process technology of hardware timer, switchs metal-oxide-semiconductor, directly system power supply is turned off and restarted.
6. the device according to claim 1 based on cloud analysis with the power distribution network transient state ripple failure tracking of identification, its feature
It is：The power supply of the data acquisition unit is high voltage induction power taking power supply or/and electric current sensing power taking power supply.
7. a kind of method based on cloud analysis with the power distribution network transient state ripple failure tracking of identification, it is characterised in that including following step
Suddenly：
(1) data acquisition unit measures the electric current in 3~35kV mesolow distribution line by electromagnetic induction method, and judges
Whether the electric current in measured circuit produces mutation, and next step is carried out if producing mutation and otherwise continues this step；
(2) it is by the current break or actual short size of current, trouble duration and circuit that are measured in circuit
No to have a power failure to judge whether to produce failure, otherwise carry out next step if producing failure performs step (1)；
(3) monitoring of line fault information is received to monitoring main frame transmitting line fault message by zigbee wireless networks
Main frame sends temporarily drop waveform to each data acquisition unit immediately and starts order；
(4) each data acquisition unit uploads the electric field and current waveform of fixed cycle before and after failure occurs after recording end cycle
Data；
(5) after data of the monitoring main frame according to each data acquisition unit upload received, binding time synchronizing signal, failure record
Ripple starts the recorder data of order and agreement sample frequency, and monitoring main frame realizes the synthesis of zero sequence transient signal, finally monitoring master
Generated data is uploaded to Cloud Server by machine；
(6) Cloud Server carries out comprehensive analysis processing, determines distribution line failure point and fault type.
8. method according to claim 7, it is characterised in that：Also include after step (6)
(7) fault type for determining distribution line failure point and analysis is sent to terminal device by Cloud Server.
9. method according to claim 7, it is characterised in that：Data acquisition unit is used by real-time in step (1)
Collection three-phase line is line current, line-to-ground electric field judge voltage dip, to freeze failure three-phase transient current, three-phase wirelessly same
Step calculates zero-sequence current and active signal injection information.
10. method according to claim 7, it is characterised in that：When electric field decrease beyond default valve in step (2)
Value, into the judgement state of earth fault.
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| CN201710240973.6A CN107064743A (en) | 2017-04-13 | 2017-04-13 | Power distribution network transient state ripple failure tracking method and device based on cloud analysis with identification |
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| CN201710240973.6A CN107064743A (en) | 2017-04-13 | 2017-04-13 | Power distribution network transient state ripple failure tracking method and device based on cloud analysis with identification |
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| CN108490315A (en) * | 2018-05-18 | 2018-09-04 | 云南电网有限责任公司电力科学研究院 | A kind of defeated, distribution line failure positioning device based on electromagnetic induction |
| CN108564344A (en) * | 2018-04-17 | 2018-09-21 | 许继电气股份有限公司 | A kind of DC converter station fault data automatic acquiring method and device |
| CN109038822A (en) * | 2018-08-06 | 2018-12-18 | 东北电力大学 | A kind of power distribution network monitoring device based on Internet of Things |
| CN109818423A (en) * | 2019-04-08 | 2019-05-28 | 国网福建省电力有限公司 | A kind of intelligent O&M distribution system based on management mode of taking the initiative in offering a hand |
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Application publication date: 20170818 |