CN107861022A - Fault judgment method based on power distribution network FTU - Google Patents
Fault judgment method based on power distribution network FTU Download PDFInfo
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- CN107861022A CN107861022A CN201710983098.0A CN201710983098A CN107861022A CN 107861022 A CN107861022 A CN 107861022A CN 201710983098 A CN201710983098 A CN 201710983098A CN 107861022 A CN107861022 A CN 107861022A
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- China
- Prior art keywords
- distribution network
- power distribution
- data
- node
- earth fault
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Classifications
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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
-
- 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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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Locating Faults (AREA)
Abstract
The invention discloses the fault judgment method based on power distribution network FTU, and power distribution network magnanimity real time data is obtained by equipment such as distribution terminal, fault detector, intelligent electric meters；Establish the power distribution network real-time streaming data analysis platform based on Storm clusters；The Storm clusters include main controlled node and working node；Task scheduling between the main controlled node and the working node is distributed with task to be realized by Zookeeper；Design merges the flow data processing topological structure of a variety of singlephase earth fault location technologies；Exported according to the criterion of different singlephase earth fault location technologies and store result.The main controlled node runs Nimbus component programs, is responsible for sending code in Storm clusters, assigns tasks to working node, and monitoring work node state.
Description
Technical field
The present invention relates to a kind of fault judgment method, and in particular to the fault judgment method based on power distribution network FTU.
Background technology
Most of China's Grounding Mode of Distribution Network is non-effective earthing, and earth current very little during singlephase earth fault occurs,
1-2 hours can be continued to run with, but if earth fault is unable to timely processing, easily develop into phase-to phase fault, cause bigger model
The power failure enclosed.The current solution for one-phase earthing failure in electric distribution network applies signalling and fault-signal method outside having.Apply letter outside
Number method amplifies fault signature by injecting external signal, is divided into strong injection method and weak injection method；Fault-signal method is directly extracted
Line voltage distribution, the characteristic information of electric current judge whether to be grounded, and are divided into failure steady-state signal method and fault transient signals method.
To the year two thousand twenty, key city (area) intelligent construction and application level greatly improve, and power supply reliability reaches
99.99%, the average annual power off time of user is no more than 1 hour, and power supply quality is reached advanced world standards；Urban Areas power supply capacity
And power supply safety level is obviously improved, power supply reliability reaches more than 99.88%, and it is small that the average annual power off time of user is no more than 10
When, ensure that regional economy society is fast-developing；Comprehensively solve power network weakness problem rural and from far-off regions, substantially eliminate long-term
" low-voltage ", capacity of distribution transform is not less than 2 kilovolt-amperes per family, the effective guarantee people's livelihood.
Power distribution network branched line is more, the method for operation is changeable and earth fault feature unobvious, existing monotechnics are all deposited
In certain limitation, singlephase earth fault positioning can be fully solved without any one.As power information gathers, distribution
The system constantly improves such as automation, data caused by power distribution network gradually show magnanimity, high concurrent, data structure complexity, meter
Calculate the big data features such as frequency height.
The content of the invention
The technical problems to be solved by the invention are that power distribution network branched line is more, the method for operation is changeable and earth fault feature
Unobvious, existing monotechnics are all had some limitations, and singlephase earth fault can be fully solved without any one
Positioning is, and it is an object of the present invention to provide the fault judgment method based on power distribution network FTU, and solution power distribution network branched line is more, the method for operation is more
Become and earth fault feature unobvious, existing monotechnics all have some limitations, can be complete without any one
Solves the problems, such as singlephase earth fault positioning.
The present invention is achieved through the following technical solutions：
Based on power distribution network FTU fault judgment method, comprise the following steps：
A：Power distribution network magnanimity real time data is obtained by equipment such as distribution terminal, fault detector, intelligent electric meters；
B：Establish the power distribution network real-time streaming data analysis platform based on Storm clusters；The Storm clusters include master control section
Point and working node；Task scheduling between the main controlled node and the working node passes through Zookeeper with task distribution
Realize；
C：Design merges the flow data processing topological structure of a variety of singlephase earth fault location technologies；
D：Exported according to the criterion of different singlephase earth fault location technologies and store result.
The main controlled node runs Nimbus component programs, is responsible for sending code in Storm clusters, assigns tasks to work
Make node, and monitoring work node state；
The working node runs Supervisor component programs, is responsible for monitoring the machine operation state of distribution, according to need
Start or close the progress of work.
The processing topological structure of flow data described in step C is by data source component Spout and logical process component Bolt structures
Into；The logical process component Bolt can arbitrarily subscribe to the Tuple that some Spout or Bolt are sent；The Tuple is represented
The data flow tuple of topological structure processing；The data source component Spout represents the origin of flow data, the origin of the flow data
Come the data gathered in real time since equipment such as distribution terminal, fault detector, intelligent electric meters；The logical process component Bolt tables
Show the process of data processing, different singlephase earth fault location technologies corresponds to different Bolt processing, single-phase is connect by a variety of
Earth fault location technology parallel processing output result.
The data of the equipment such as the distribution terminal, fault detector, intelligent electric meter collection include：Voltage, electric current, wattful power
Rate, reactive power, recording waveform, environmental monitoring data.
The Bolt processing includes：Characteristic Extraction, recording waveform compare, the result judgement of earth fault positioning technology.
The present invention compared with prior art, has the following advantages and advantages：
1st, the fault judgment method of the invention based on power distribution network FTU, different earthed systems, different type ground connection be can adapt to
The positioning of failure；
2nd, the fault judgment method of the invention based on power distribution network FTU, a kind of a variety of singlephase earth faults of fusion be have devised
The flow data processing topological structure of location technology.
Brief description of the drawings
Accompanying drawing described herein is used for providing further understanding the embodiment of the present invention, forms one of the application
Point, do not form the restriction to the embodiment of the present invention.In the accompanying drawings：
Fig. 1 is schematic flow sheet of the present invention.
Embodiment
For the object, technical solutions and advantages of the present invention are more clearly understood, with reference to embodiment and accompanying drawing, to this
Invention is described in further detail, and exemplary embodiment of the invention and its explanation are only used for explaining the present invention, do not make
For limitation of the invention.
Embodiment 1
As shown in figure 1, the fault judgment method of the invention based on power distribution network FTU, comprises the following steps：
A：Power distribution network magnanimity real time data is obtained by equipment such as distribution terminal, fault detector, intelligent electric meters；
B：Establish the power distribution network real-time streaming data analysis platform based on Storm clusters；The Storm clusters include master control section
Point and working node；Task scheduling between the main controlled node and the working node passes through Zookeeper with task distribution
Realize；
C：Design merges the flow data processing topological structure of a variety of singlephase earth fault location technologies；
D：Exported according to the criterion of different singlephase earth fault location technologies and store result.
The main controlled node runs Nimbus component programs, is responsible for sending code in Storm clusters, assigns tasks to work
Make node, and monitoring work node state；
The working node runs Supervisor component programs, is responsible for monitoring the machine operation state of distribution, according to need
Start or close the progress of work.
The processing topological structure of flow data described in step C is by data source component Spout and logical process component Bolt structures
Into；The logical process component Bolt can arbitrarily subscribe to the Tuple that some Spout or Bolt are sent；The Tuple is represented
The data flow tuple of topological structure processing；The data source component Spout represents the origin of flow data, the origin of the flow data
Come the data gathered in real time since equipment such as distribution terminal, fault detector, intelligent electric meters；The logical process component Bolt tables
Show the process of data processing, different singlephase earth fault location technologies corresponds to different Bolt processing, single-phase is connect by a variety of
Earth fault location technology parallel processing output result.
The data of the equipment such as the distribution terminal, fault detector, intelligent electric meter collection include：Voltage, electric current, wattful power
Rate, reactive power, recording waveform, environmental monitoring data.
The Bolt processing includes：Characteristic Extraction, recording waveform compare, the result judgement of earth fault positioning technology.
Above-described embodiment, the purpose of the present invention, technical scheme and beneficial effect are carried out further
Describe in detail, should be understood that the embodiment that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc., all should include
Within protection scope of the present invention.
Claims (4)
1. the fault judgment method based on power distribution network FTU, it is characterised in that comprise the following steps：
A：Power distribution network magnanimity real time data is obtained by equipment such as distribution terminal, fault detector, intelligent electric meters；
B：Establish the power distribution network real-time streaming data analysis platform based on Storm clusters；The Storm clusters include main controlled node and
Working node；Task scheduling between the main controlled node and the working node is distributed with task to be realized by Zookeeper；
C：Design merges the flow data processing topological structure of a variety of singlephase earth fault location technologies；
D：Exported according to the criterion of different singlephase earth fault location technologies and store result.
2. the fault judgment method as claimed in claim 1 based on power distribution network FTU, it is characterised in that fluxion described in step C
According to processing topological structure it is made up of data source component Spout and logical process component Bolt；The logical process component Bolt
The Tuple that some Spout or Bolt are sent can arbitrarily be subscribed to；The Tuple represents the data flow member of topological structure processing
Group；The data source component Spout represents the origin of flow data, and the origin of the flow data refers to since distribution terminal, failure
Show the data that the equipment such as device, intelligent electric meter gather in real time；The logical process component Bolt represents the process of data processing, different
Singlephase earth fault location technology correspond to different Bolt processing, pass through a variety of singlephase earth fault location technology parallel processings
Output result.
3. the fault judgment method as claimed in claim 2 based on power distribution network FTU, it is characterised in that the distribution terminal, event
The data of the equipment collection such as barrier indicator, intelligent electric meter include：Voltage, electric current, active power, reactive power, recording waveform, ring
Border Monitoring Data.
4. the fault judgment method as claimed in claim 2 based on power distribution network FTU, it is characterised in that the Bolt processing bag
Include：Characteristic Extraction, recording waveform compare, the result judgement of earth fault positioning technology.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710983098.0A CN107861022A (en) | 2017-10-20 | 2017-10-20 | Fault judgment method based on power distribution network FTU |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710983098.0A CN107861022A (en) | 2017-10-20 | 2017-10-20 | Fault judgment method based on power distribution network FTU |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107861022A true CN107861022A (en) | 2018-03-30 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201710983098.0A Withdrawn CN107861022A (en) | 2017-10-20 | 2017-10-20 | Fault judgment method based on power distribution network FTU |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114330500A (en) * | 2021-11-30 | 2022-04-12 | 南京国电南自电网自动化有限公司 | Storm platform-based online parallel diagnosis method and system for power grid power equipment |
| CN117996703A (en) * | 2024-04-07 | 2024-05-07 | 国网江苏省电力有限公司常州供电分公司 | Power distribution network fault distinguishing and protecting device and method |
-
2017
- 2017-10-20 CN CN201710983098.0A patent/CN107861022A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114330500A (en) * | 2021-11-30 | 2022-04-12 | 南京国电南自电网自动化有限公司 | Storm platform-based online parallel diagnosis method and system for power grid power equipment |
| CN114330500B (en) * | 2021-11-30 | 2024-04-26 | 南京国电南自电网自动化有限公司 | Online parallel diagnosis method and system for power grid power equipment based on storm platform |
| CN117996703A (en) * | 2024-04-07 | 2024-05-07 | 国网江苏省电力有限公司常州供电分公司 | Power distribution network fault distinguishing and protecting device and method |
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| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180330 |