CN105301446A - Power grid fault real time automatic detection and positioning system and method - Google Patents

Power grid fault real time automatic detection and positioning system and method Download PDF

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Publication number
CN105301446A
CN105301446A CN201510742460.6A CN201510742460A CN105301446A CN 105301446 A CN105301446 A CN 105301446A CN 201510742460 A CN201510742460 A CN 201510742460A CN 105301446 A CN105301446 A CN 105301446A
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China
Prior art keywords
transmission line
electricity
transformer station
data collector
fault
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CN201510742460.6A
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Chinese (zh)
Inventor
张宁
徐刚
孙鹏
宋坤
曹开岭
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State Grid Corp of China SGCC
Jining Power Supply Co of State Grid Shandong Electric Power Co Ltd
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State Grid Corp of China SGCC
Jining Power Supply Co of State Grid Shandong Electric Power Co Ltd
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Priority to CN201510742460.6A priority Critical patent/CN105301446A/en
Publication of CN105301446A publication Critical patent/CN105301446A/en
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    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

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  • Locating Faults (AREA)

Abstract

The invention discloses a power grid fault real time automatic detection and positioning system and a method. The power grid fault real time automatic detection and positioning system comprises a first data collection device which is positioned at an M position of a transformer substation on one end of a power transmission circuit and a second data collection device which is positioned at an N position of a transformer substation on the other end of the power transmission circuit; the first data collection device and the second data collection device are in communication through the high speed Ethernet; the first data collection device and the second data collection device collect wave travelling signals of the power transmission circuit, obtains the time when the travelling wave signal arrives the first data collection device and the second data collection device so as to determine the distance between a fault point and the transformer substation M on one side of the power transmission circuit. The power grid fault real time automatic detection and positioning system has the advantages of the single-terminal fault analysis method, the double-terminal fault analysis method and the double-terminal travelling wave positioning method, is stable in performance, and high in reliability and accuracy, and can reliably and accurately realize the fault positioning of the power transmission circuit.

Description

A kind of electric network fault real time automatic detection and positioning system and method
Technical field
The present invention relates to a kind of electric network fault real time automatic detection and positioning system, relate to a kind of electric network fault positioning system and method especially.
Background technology
Existing transmission open acess system comprises fault analytical method and travelling wave positioning system.
Fault analytical method divides one-end fault analytic approach and both-end fault analytical method.One-end fault analytic approach adopts single ended voltage/current data to calculate fault impedance, and then obtains fault distance, and this system is by the impact of the factors such as transition resistance, and positioning precision is poor.Both-end fault analytical method utilizes both-end voltage/current data to calculate fault distance, and affect by factors such as transition resistances and be less than one-end fault analytic approach, positioning precision higher than one-end fault analytic approach, but need gather both-end electric data.
Travelling wave positioning system is the positioning system realized according to theory of travelling wave.When transmission line of electricity breaks down, trouble spot produces transient voltage and current break signal and voltage traveling wave and current traveling wave signal, propagate along power circuit to circuit both sides electrical network with certain speed, the mistiming utilizing trouble spot travelling wave signal to arrive circuit both sides can calculate fault distance.
Travelling wave positioning system is divided into single-ended traveling wave positioning system and both-end travelling wave positioning system.The mistiming that single-ended traveling wave positioning system utilizes row ripple to propagate between trouble spot and transformer station realizes localization of fault; The mistiming that both-end travelling wave positioning system utilizes trouble spot row ripple to arrive transmission line of electricity both sides realizes localization of fault.Single-ended traveling wave positioning system and both-end travelling wave positioning system affect less by the factor such as system operation mode, transition resistance, and positioning precision is better than single-ended impedance positioning system and both-end impedance positioning system.But single-ended traveling wave system location is very easily by reflected traveling wave and the interference reflecting row ripple, often need artificially to participate in breakdown judge, practicality is poor, and single-ended traveling wave positioning system and both-end travelling wave positioning system are when fault traveling wave signal is too faint or fault traveling wave life period is too short, row wave datum harvester does not collect travelling wave signal, causes locating unsuccessfully.
Summary of the invention
Object of the present invention is exactly to solve the problem, propose a kind of electric network fault real time automatic detection and positioning system and method, the double advantage of getting the capable ripple localization method of one-end fault analytic approach, both-end fault analytical method and both-end of this system, good stability, reliability and precision high, reliably, accurately can realize transmission open acess.
For achieving the above object, concrete scheme of the present invention is as follows:
A kind of electric network fault real time automatic detection and positioning system, comprising:
Be arranged on the first data collector of transformer station M position, transmission line of electricity one end and be arranged on the second data collector of transmission line of electricity other end transformer station N position;
Described first data collector is communicated by Fast Ethernet with the second data collector; Described first data collector and the second data collector gather the travelling wave signal of transmission line of electricity respectively, show that travelling wave signal arrives the time of the first data collector and the second data collector respectively, thus the distance between the transformer station M of the localization of faults and transmission line of electricity side.
Described first data collector communicates with global position system respectively with the second data collector.
Also comprise: intelligent terminal and master control system; Described intelligent terminal is arranged on each transformer station branch road outgoing line side, and intelligent terminal communicates with the second data collector respectively with the first data collector, intelligent terminal and master control system two-way communication.
A method for electric network fault real time automatic detection as claimed in claim 1 and positioning system, comprising:
(1) first data collector and the second data collector gather the travelling wave signal of transmission line of electricity respectively;
(2) travelling wave signal arrives the moment t of the transformer station M of transmission line of electricity side to adopt the capable ripple localization method of both-end to judge respectively mwith the moment t of the transformer station N of transmission line of electricity opposite side n;
(3) according to the moment t obtained in step (2) mand t n, the distance L between the transformer station M determining described trouble spot and described transmission line of electricity side m.
Described step (3) middle distance L mcomputing method be specially:
L M = L + ( t m - t n ) × v 2 ;
Wherein, L mfor the distance between trouble spot and the transformer station M of transmission line of electricity side;
L is transmission line of electricity total length, the distance namely between the transformer station M of transmission line of electricity side and the transformer station N of transmission line of electricity opposite side; V is the velocity of propagation of row ripple on transmission line of electricity; t mthe moment of the transformer station M of transmission line of electricity side is arrived for row ripple; t nthe moment of the transformer station N of transmission line of electricity opposite side is arrived for row ripple.
The mode gathering the travelling wave signal of transmission line of electricity in described step (1) comprises: high speed acquisition voltage/current information and directly gather travelling wave signal;
When employing directly gathers travelling wave signal mode, travelling wave signal is from primary equipment ground wire or special traveling wave sensor.
First data collector and the second data collector gather the voltage/current information at transmission line of electricity two ends respectively, adopt one-end fault analytic approach and both-end fault analytical method to calculate trouble spot distance respectively.
In described step (2), judge that travelling wave signal arrives the moment t of the transformer station M of transmission line of electricity side mwith the moment t of the transformer station N of transmission line of electricity opposite side nmethod be specially:
Utilize wavelet transformation to extract the voltage/current information of row wave datum harvester collection, finally identify the capable ripple due in of voltage/current.
In described step (2), judge that travelling wave signal arrives the moment t of the transformer station M of transmission line of electricity side mwith the moment t of the transformer station N of transmission line of electricity opposite side nmethod be specially:
Analyzed the voltage/current travelling wave signal of row wave datum harvester collection by hardware circuit, finally identify the capable ripple due in of voltage/current.
If the positioning result of row ripple localization method and fault analytical method is all effective, then localization of fault adopts the positioning result of row ripple localization method;
If the result of row ripple localization method is effective, the positioning result of fault analytical method is invalid, then localization of fault adopts the positioning result of row ripple localization method;
If it is invalid that the result of row ripple localization method has, the positioning result of fault analytical method is effective, then localization of fault adopts the positioning result of fault analytical method.
In each transformer station, branch road outgoing line side arranges intelligent terminal, and the first data collector communicates with intelligent terminal with the second data collector, intelligent terminal and master control system two-way communication;
After obtaining localization of fault information, intelligent terminal gathers the localization of fault information of power network line belonging to intelligent terminal and is uploaded to master control system;
Master control system receives the electric network data that sends of intelligent terminal and also carries out real-time analysis, formation control order, and control command is assigned respectively to electric network protection system and intelligent terminal and carry out corresponding protection act;
Control command is handed down to intelligent terminal by master control system, after the control command that intelligent terminal for reception master control system issues, determines cutting load object in electrical network and corresponding control command is handed down to relevant protecting control unit;
Intelligent terminal also detects the load of transformer station belonging to it, and in real time the load detected is uploaded to master control system;
Master control system selects optimum cutting load combination according to the load received, and performs cutting load to corresponding transformer station.Reality in transformer station belonging to it cutting load amount and cutting load action executing state can be uploaded to master control system and monitor in real time by intelligent terminal.
Beneficial effect of the present invention:
The double advantage of getting the capable ripple localization method of one-end fault analytic approach, both-end fault analytical method and both-end of present system, good stability, reliability and precision high, reliably, accurately can realize transmission open acess.Under both-end capable ripple localization method locates effective situation, employing one-end fault analytic approach, both-end fault analytical method filter out unique row ripple positioning result, effectively to avoid the interference of reflected traveling wave and refraction row ripple; When both-end capable ripple localization method row ripple is located unsuccessfully, employing one-end fault analytic approach, both-end fault analytical method complete localization of fault, significantly improve the reliability of transmission open acess location.
Accompanying drawing explanation
Fig. 1 electric network fault real time automatic detection of the present invention and positioning system schematic diagram.
Embodiment:
Below in conjunction with accompanying drawing, the present invention is described in detail:
As shown in Figure 1,
A kind of electric network fault real time automatic detection and positioning system, comprising:
Be arranged on the first data collector of transformer station M position, transmission line of electricity one end and be arranged on the second data collector of transmission line of electricity other end transformer station N position;
First data collector is communicated by Fast Ethernet with the second data collector; First data collector and the second data collector gather the travelling wave signal of transmission line of electricity respectively, show that travelling wave signal arrives the time of the first data collector and the second data collector respectively, thus the distance between the transformer station M of the localization of faults and transmission line of electricity side.
First data collector communicates with global position system respectively with the second data collector, by receiving Big Dipper satellite signal, regularly calibrates the clock signal of the first data collector and the second data collector.Global position system (GPS) is adopted to realize sync identification.
When there is trouble spot in transmission line of electricity, comprise the following steps:
The data collector of transformer station's setting of the data collector arranged by the transformer station of transmission line of electricity side and transmission line of electricity opposite side, gather travelling wave signal respectively, the capable ripple localization method of both-end is adopted to identify the moment that travelling wave signal arrives the transformer station of transmission line of electricity side and the transformer station of transmission line of electricity opposite side respectively, with the distance between the transformer station determining described trouble spot and described transmission line of electricity side, its computing formula is as follows:
In formula (1): L M = L + ( t m - t n ) × v 2 ;
L mfor the distance between trouble spot and the transformer station M of transmission line of electricity side;
L is transmission line of electricity total length, the distance namely between the transformer station M of transmission line of electricity side and the transformer station N of transmission line of electricity opposite side;
V is the velocity of propagation of row ripple on transmission line of electricity;
T mthe moment of the transformer station M of transmission line of electricity side is arrived for row ripple;
T nthe moment of the transformer station N of transmission line of electricity opposite side is arrived for row ripple.
The mode of travelling wave signal gathering transmission line of electricity comprises: high speed acquisition voltage/current information and directly gather travelling wave signal;
When employing directly gathers travelling wave signal mode, travelling wave signal is from primary equipment ground wire or special traveling wave sensor.First data collector and the second data collector gather the voltage/current information at transmission line of electricity two ends respectively, adopt one-end fault analytic approach and both-end fault analytical method to calculate trouble spot distance respectively.
Differentiating that travelling wave signal arrives the moment of transformer station, is adopt mathematical method to differentiate row ripple, and the voltage/current information utilizing wavelet transformation mathematical method analysis row wave datum harvester to gather, finally identifies the capable ripple due in of voltage/current.
Differentiating that travelling wave signal arrives the moment of transformer station, is adopt hardware circuit to differentiate row ripple, and the voltage/current travelling wave signal gathered by proprietary hardware circuit analysis row wave datum harvester, finally identifies the capable ripple due in of voltage/current.Described proprietary hardware circuit comprises: multi-path analog to digital conversion circuit, for the row ripple collection signal of reception is carried out analog to digital conversion; Signal conditioning circuit, for carrying out filtering and amplification to the capable ripple transient signal of electric power gathered, forms row ripple collection signal; B code time service circuit, for improving time service markers, to row ripple image data mark markers, forms the accurate relativity of time domain of row ripple image data.
If the positioning result of row ripple localization method and fault analytical method is all effective, then localization of fault adopts the positioning result of row ripple localization method;
If the result of row ripple localization method is effective, the positioning result of fault analytical method is invalid, then localization of fault adopts the positioning result of row ripple localization method;
If it is invalid that the result of row ripple localization method has, the positioning result of fault analytical method is effective, then localization of fault adopts the positioning result of fault analytical method.
The capable ripple localization method of both-end only utilizes the row ripple first wave head arrival circuit two ends moment to position calculating, thus only need catch row ripple first wave head, need not consider row wave reflection and refraction, and row wave amplitude is large, is easy to identification, makes computing simple.
In each transformer station, branch road outgoing line side arranges intelligent terminal, and the first data collector communicates with intelligent terminal with the second data collector, intelligent terminal and master control system two-way communication.After obtaining localization of fault information, intelligent terminal gathers the localization of fault information of power network line belonging to intelligent terminal and is uploaded to master control system.
Master control system receives the electric network data that sends of intelligent terminal and also carries out static state and transient state real-time analysis, formation control order, and control command is assigned respectively to electric network protection system and intelligent terminal and carry out corresponding protection act.Wherein, control command is handed down to electric network protection system by partition network communication system and carries out corresponding protection act by master control system.
Control command is handed down to intelligent terminal by master control system, after the control command that intelligent terminal for reception master control system issues, determines cutting load object in electrical network and corresponding control command is handed down to relevant protecting control unit.
Intelligent terminal also detects the load of transformer station belonging to it, and in real time the load detected is uploaded to master control system.Master control system selects optimum cutting load combination according to the load received, and performs cutting load to corresponding transformer station.Reality in transformer station belonging to it cutting load amount and cutting load action executing state can be uploaded to master control system and monitor in real time by intelligent terminal.
By reference to the accompanying drawings the specific embodiment of the present invention is described although above-mentioned; but not limiting the scope of the invention; one of ordinary skill in the art should be understood that; on the basis of technical scheme of the present invention, those skilled in the art do not need to pay various amendment or distortion that creative work can make still within protection scope of the present invention.

Claims (10)

1. electric network fault real time automatic detection and a positioning system, is characterized in that, comprising:
Be arranged on the first data collector of transformer station M position, transmission line of electricity one end and be arranged on the second data collector of transmission line of electricity other end transformer station N position;
Described first data collector is communicated by Fast Ethernet with the second data collector; Described first data collector and the second data collector gather the travelling wave signal of transmission line of electricity respectively, show that travelling wave signal arrives the time of the first data collector and the second data collector respectively, thus the distance between the transformer station M of the localization of faults and transmission line of electricity side.
2. a kind of electric network fault real time automatic detection as claimed in claim 1 and positioning system, is characterized in that, described first data collector communicates with global position system respectively with the second data collector.
3. a kind of electric network fault real time automatic detection as claimed in claim 1 and positioning system, is characterized in that, also comprise: intelligent terminal and master control system; Described intelligent terminal is arranged on each transformer station branch road outgoing line side, and intelligent terminal communicates with the second data collector respectively with the first data collector, intelligent terminal and master control system two-way communication.
4. a method for electric network fault real time automatic detection as claimed in claim 1 and positioning system, is characterized in that, comprising:
(1) first data collector and the second data collector gather the travelling wave signal of transmission line of electricity respectively;
(2) travelling wave signal arrives the moment t of the transformer station M of transmission line of electricity side to adopt the capable ripple localization method of both-end to judge respectively mwith the moment t of the transformer station N of transmission line of electricity opposite side n;
(3) according to the moment t obtained in step (2) mand t n, the distance L between the transformer station M determining described trouble spot and described transmission line of electricity side m.
5. the method for a kind of electric network fault real time automatic detection as claimed in claim 4 and positioning system, is characterized in that, described step (3) middle distance L mcomputing method be specially:
L M = L + ( t m - t n ) × v 2 ;
Wherein, L mfor the distance between trouble spot and the transformer station M of transmission line of electricity side;
L is transmission line of electricity total length, the distance namely between the transformer station M of transmission line of electricity side and the transformer station N of transmission line of electricity opposite side; V is the velocity of propagation of row ripple on transmission line of electricity; t mthe moment of the transformer station M of transmission line of electricity side is arrived for row ripple; t nthe moment of the transformer station N of transmission line of electricity opposite side is arrived for row ripple.
6. the method for a kind of electric network fault real time automatic detection as claimed in claim 4 and positioning system, it is characterized in that, the mode gathering the travelling wave signal of transmission line of electricity in described step (1) comprises: high speed acquisition voltage/current information and directly gather travelling wave signal;
When employing directly gathers travelling wave signal mode, travelling wave signal is from primary equipment ground wire or special traveling wave sensor.
First data collector and the second data collector gather the voltage/current information at transmission line of electricity two ends respectively, adopt one-end fault analytic approach and both-end fault analytical method to calculate trouble spot distance respectively.
7. the method for a kind of electric network fault real time automatic detection as claimed in claim 4 and positioning system, is characterized in that, in described step (2), judges that travelling wave signal arrives the moment t of the transformer station M of transmission line of electricity side mwith the moment t of the transformer station N of transmission line of electricity opposite side nmethod be specially:
Utilize wavelet transformation to extract the voltage/current information of row wave datum harvester collection, finally identify the capable ripple due in of voltage/current.
8. the method for a kind of electric network fault real time automatic detection as claimed in claim 4 and positioning system, is characterized in that, in described step (2), judges that travelling wave signal arrives the moment t of the transformer station M of transmission line of electricity side mwith the moment t of the transformer station N of transmission line of electricity opposite side nmethod be specially:
Analyzed the voltage/current travelling wave signal of row wave datum harvester collection by hardware circuit, finally identify the capable ripple due in of voltage/current.
9. the method for a kind of electric network fault real time automatic detection as claimed in claim 4 and positioning system, is characterized in that, if the positioning result of row ripple localization method and fault analytical method is all effective, then localization of fault adopts the positioning result of row ripple localization method;
If the result of row ripple localization method is effective, the positioning result of fault analytical method is invalid, then localization of fault adopts the positioning result of row ripple localization method;
If it is invalid that the result of row ripple localization method has, the positioning result of fault analytical method is effective, then localization of fault adopts the positioning result of fault analytical method.
10. the method for a kind of electric network fault real time automatic detection as claimed in claim 4 and positioning system, it is characterized in that, in each transformer station, branch road outgoing line side arranges intelligent terminal, first data collector communicates with intelligent terminal with the second data collector, intelligent terminal and master control system two-way communication;
After obtaining localization of fault information, intelligent terminal gathers the localization of fault information of power network line belonging to intelligent terminal and is uploaded to master control system;
Master control system receives the electric network data that sends of intelligent terminal and also carries out real-time analysis, formation control order, and control command is assigned respectively to electric network protection system and intelligent terminal and carry out corresponding protection act;
Control command is handed down to intelligent terminal by master control system, after the control command that intelligent terminal for reception master control system issues, determines cutting load object in electrical network and corresponding control command is handed down to relevant protecting control unit;
Intelligent terminal also detects the load of transformer station belonging to it, and in real time the load detected is uploaded to master control system;
Master control system selects optimum cutting load combination according to the load received, and performs cutting load to corresponding transformer station.Reality in transformer station belonging to it cutting load amount and cutting load action executing state can be uploaded to master control system and monitor in real time by intelligent terminal.
CN201510742460.6A 2015-11-04 2015-11-04 Power grid fault real time automatic detection and positioning system and method Pending CN105301446A (en)

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Cited By (7)

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CN108519542A (en) * 2018-03-28 2018-09-11 合肥云智物联科技有限公司 A kind of electric network fault intelligent locating method and system
CN109459650A (en) * 2018-11-09 2019-03-12 云南电网有限责任公司 A kind of ground fault transition resistance calculation method based on the fusion of more distance measuring methods
CN109738763A (en) * 2019-02-28 2019-05-10 国网湖北省电力有限公司黄石供电公司 A kind of medium-voltage distribution cable short trouble localization method based on wavelet package transforms
CN110649505A (en) * 2019-09-09 2020-01-03 国网北京市电力公司 Three-dimensional monitoring method and device for icing of power transmission line
CN110954781A (en) * 2019-12-10 2020-04-03 广西电网有限责任公司河池供电局 Double-end traveling wave fault positioning method and system based on transient current of ground potential end
WO2020207066A1 (en) * 2019-04-09 2020-10-15 平高集团有限公司 Fault indicator device and system, and power distribution network system
CN114006471A (en) * 2021-10-26 2022-02-01 广东电网有限责任公司 Substation direct current system monitoring method and system

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Publication number Priority date Publication date Assignee Title
CN108519542A (en) * 2018-03-28 2018-09-11 合肥云智物联科技有限公司 A kind of electric network fault intelligent locating method and system
CN109459650A (en) * 2018-11-09 2019-03-12 云南电网有限责任公司 A kind of ground fault transition resistance calculation method based on the fusion of more distance measuring methods
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CN109738763A (en) * 2019-02-28 2019-05-10 国网湖北省电力有限公司黄石供电公司 A kind of medium-voltage distribution cable short trouble localization method based on wavelet package transforms
WO2020207066A1 (en) * 2019-04-09 2020-10-15 平高集团有限公司 Fault indicator device and system, and power distribution network system
CN110649505A (en) * 2019-09-09 2020-01-03 国网北京市电力公司 Three-dimensional monitoring method and device for icing of power transmission line
CN110954781A (en) * 2019-12-10 2020-04-03 广西电网有限责任公司河池供电局 Double-end traveling wave fault positioning method and system based on transient current of ground potential end
CN114006471A (en) * 2021-10-26 2022-02-01 广东电网有限责任公司 Substation direct current system monitoring method and system

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Application publication date: 20160203