CN109633381A - A kind of electric network failure diagnosis intelligent analysis method - Google Patents
A kind of electric network failure diagnosis intelligent analysis method Download PDFInfo
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- CN109633381A CN109633381A CN201910130536.8A CN201910130536A CN109633381A CN 109633381 A CN109633381 A CN 109633381A CN 201910130536 A CN201910130536 A CN 201910130536A CN 109633381 A CN109633381 A CN 109633381A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 43
- 238000004458 analytical method Methods 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 claims abstract description 15
- 238000001514 detection method Methods 0.000 claims abstract description 4
- 238000012360 testing method Methods 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000002405 diagnostic procedure Methods 0.000 abstract description 5
- 238000005516 engineering process Methods 0.000 description 5
- 230000008901 benefit Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
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- 238000010276 construction Methods 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
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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
- G01R31/088—Aspects of digital computing
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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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- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a kind of electric network failure diagnosis intelligent analysis methods, it include: the power grid after failure, OGSA-DAI client automatically detects the substation of this area, and packet capturing is carried out after finding warning message, is uploaded to fault diagnosis system after parsing；Fault diagnosis system is searched and is positioned after receiving alert data, to the region of power failure, and is compared using the method for diagnosing faults of expert system to information and date, so that the failure to power grid carries out intellectual analysis；Fault diagnosis system is automatically stopped operation when failure present in power grid is not detected, and carries out repeating detection to received warning message again after 5ms, exports result after fault diagnosis system obtains testing result according to the information of alarm；When solving the generation of prior art electric network fault, the diagnostic method based on traditional mathematics model is largely it cannot be guaranteed that technical problems such as the accuracy and rapidity etc. of diagnosis require.
Description
Technical field
The invention belongs to electric network failure diagnosis technology more particularly to a kind of electric network failure diagnosis intelligent analysis methods.
Background technique
The power transformation of the various voltages entirety that electric line forms in one's power, referred to as power network in electric system, it includes to become
Electric, three transmission of electricity, distribution units, the task of power network are to convey and distribute electric energy, change voltage, 2006, the first spy of China
High-voltage fence engineering, State Grid Corporation of China's southeast Shanxi, Nanyang, Jingmen AC extra high voltage Test and pilot project are grand in Shanxi Changzhi
Foundation, this indicates that the AC extra high voltage electricity power engineering of million volts of step voltage grades in state formally enters the construction period；2007
December 21, Sichuan, Shanghai ± 800 kilovolt extra-high voltage direct-current transmission demonstration project go into operation in Sichuan Yibin, this is planning construction
The highest of voltage class in the world, conveying distance is farthest, the maximum direct current transportation work of capacity, in recent years, along with China Power
Developing steps are constantly accelerated, and power grid is also rapidly developed, and network system working voltage grade is continuously improved, and network size is not yet
Disconnected to expand, the whole nation has formd Northeast China Power Grid, North China Power Telecommunication Network, Central China Power Grid, East China Power Grid, Northwest Grid and south electric network 6
A large area power grid transprovincially, and basically formed complete long distance powedr transmission Net Frame of Electric Network.
Electric network failure diagnosis be exactly after passing through measurement and analysis failure in power grid electrical quantity and the protection such as electric current, voltage and
The switching value change information of breaker actuation identifies that fault element, good Diagnostic Strategy prevent thing for shortening fault time
Therefore expand and be of great significance, when failure occurs, the collected a large amount of fault messages of monitoring system pour in control centre, based on biography
The diagnostic method for mathematical model of uniting largely cannot be guaranteed that accuracy and the rapidity etc. of diagnosis require, and compares and relatively come
It says, the diagnostic method based on intellectual technology has apparent advantage, and the intelligence of the mankind can be simulated, extend and be extended to intelligent method
Behavior makes up the deficiency of Mathematical Method Diagnosis method, opened up a new way for electric network failure diagnosis field, therefore fault diagnosis side
Method develop from traditional technology to intellectualized technology direction be the field future studies emphasis and hot spot.
Summary of the invention
The technical problem to be solved by the present invention is a kind of electric network failure diagnosis intelligent analysis method is provided, it is existing to solve
When technology electric network fault occurs, the collected a large amount of fault messages of monitoring system pour in control centre, are based on traditional mathematics model
Diagnostic method largely it cannot be guaranteed that technical problems such as accuracy and rapidity etc. of diagnosis require.
The technical scheme is that
A kind of electric network failure diagnosis intelligent analysis method, it includes:
After failure, OGSA-DAI client automatically detects the substation of this area for step 1, the power grid,
It was found that carrying out packet capturing after warning message, fault diagnosis system is uploaded to after parsing；
Step 2, fault diagnosis system are searched and are positioned after receiving alert data, to the region of power failure, and using specially
The method for diagnosing faults of family's system compares information and date, so that the failure to power grid carries out intellectual analysis；
Step 3, fault diagnosis system are automatically stopped operation when failure present in power grid is not detected, right again after 5ms
Received warning message carries out repeating detection, exports after fault diagnosis system obtains testing result according to the information of alarm
As a result.
The method for diagnosing faults of the expert system is that fault message is input to inside inference machine, and inference machine is according to current
The fault message of input is made inferences with the knowledge in knowledge base by specified strategy, to identify fault element.
The method that fault diagnosis system is positioned provides abort situation by the COMTRADE waveform analysis to acquisition,
Fault type, failure is separate, fault current, false voltage information.
The OGSA-DAI client is that grid user or mesh services are accessed in grid by Grid database service
Heterogeneous database, to reach the shared and collaboration processing of data resource.
The output is carried out the result is that by wireless network transmissions to remote control room using relevant data receiver
Display.
The invention has the advantages that:
The present invention is by the way that fault message to be input to inside inference machine, and inference machine is according to fault message currently entered, with knowing
Know the knowledge in library, made inferences by certain strategy, to identify fault element, knowledge base is knowledge engineer by knowledge
It is expressed as machine language and is stored into fault information database by man-machine interface, so as to the knot summarized according to expert
Fruit analyzes failure, and by being that grid user or other mesh services can pass through grid data in OGSA-DAI client
Various heterogeneous databases in the service access grid of library make data to reach shared resources and the collaboration processing of data resource
The access of resource is more transparent, efficient, reliable, and the ability of grid data processing is stronger, preferably meets more extensive Virtual Organization
Data processing needs；When solving the generation of prior art electric network fault, the collected a large amount of fault messages of monitoring system are poured in
Control centre, the diagnostic method based on traditional mathematics model is largely it cannot be guaranteed that the accuracy and rapidity etc. of diagnosis
It is required that etc. technical problems.
Detailed description of the invention
Fig. 1 is flow diagram of the present invention.
Specific embodiment
A kind of electric network failure diagnosis intelligent analysis method, is shown in Fig. 1, comprising:
Step 1: after failure, OGSA-DAI client automatically detects substation, this area 4 power grid, is sending out
Packet capturing is carried out after existing warning message, is uploaded to fault diagnosis system after parsing；
Step 2: fault diagnosis system can be searched and be positioned to the region of power failure after receiving alert data, and benefit
Information and date is compared with the method for diagnosing faults of expert system, carries out intelligence point so as to the failure to power grid
Analysis；
Step 3: for fault diagnosis system when failure present in power grid is not detected, it is right again after operation 5ms to be automatically stopped
Received warning message carries out repeating detection, and knot is exported after fault diagnosis system obtains result according to the information of alarm
Fruit.
Further, the method for diagnosing faults of expert system is that fault message is input to inside inference machine, inference machine according to
Fault message currently entered is made inferences with the knowledge in knowledge base by certain strategy, the member so that identification is out of order
Part, knowledge base are that knowledge engineer by the representation of knowledge at machine language and by man-machine interface is stored into fault information database
In.
Further, the method that fault diagnosis system is positioned is to be provided by the COMTRADE waveform analysis to acquisition
Abort situation, fault type, the information such as failure is separate, fault current (containing phase current, zero sequence negative-sequence current), false voltage can
While to confirm whether failure occurs the faulty equipment region indicated by fault diagnosis result, carried out using travelling wave ranging data
The position of guilty culprit carries out precise positioning.
Further, OGSA-DAI client is that grid user or other mesh services can be accessed by Grid database service
Various heterogeneous databases in grid make the access of data resource to reach shared resources and the collaboration processing of data resource
More transparent, efficient, reliable, the ability of grid data processing is stronger, preferably meets the data processing of more extensive Virtual Organization
Demand.
Further, output result by wireless network transmissions to remote control room, using relevant data receiver into
Row display, the personnel that can be more convenient in remote control room are read out and analyze to data, so as to according to electric network fault
The relevant operator of the result notice of analysis reaches fault point and repairs, influence caused by the electric network fault of shortening.
To sum up, fault diagnosis system the reasoning results of the present invention:
System is mainly received with warning message, information data comparison and power supply interrupted district and positioning etc. form, and initially sets up failure letter
Knowledge base is ceased, and establishes production rule with natural language, is then based on the understanding to this production rule, knowledge engineer
It is stored into knowledge base by the representation of knowledge at machine language and by man-machine interface, when failure occurs, fault message is input to
Inference machine, inference machine are made inferences with the knowledge in knowledge base by certain strategy according to fault message currently entered,
To identifying fault element, the alarm signal received compares information and date using expert system, by obtaining
The COMTRADE waveform analysis taken provides abort situation, and fault type, failure is separate, fault current is (negative containing phase current, zero sequence
Sequence electric current), the information such as false voltage, can be confirmed whether failure occurs the faulty equipment region indicated by fault diagnosis result
Meanwhile precise positioning is carried out using the position that travelling wave ranging data carry out guilty culprit, to improve the practicability of device, optimize
Use process.
Claims (5)
1. a kind of electric network failure diagnosis intelligent analysis method, it includes:
After failure, OGSA-DAI client automatically detects the substation of this area for step 1, the power grid,
It was found that carrying out packet capturing after warning message, fault diagnosis system is uploaded to after parsing；
Step 2, fault diagnosis system are searched and are positioned after receiving alert data, to the region of power failure, and using specially
The method for diagnosing faults of family's system compares information and date, so that the failure to power grid carries out intellectual analysis；
Step 3, fault diagnosis system are automatically stopped operation when failure present in power grid is not detected, right again after 5ms
Received warning message carries out repeating detection, exports after fault diagnosis system obtains testing result according to the information of alarm
As a result.
2. a kind of electric network failure diagnosis intelligent analysis method according to claim 1, it is characterised in that: the expert system
Method for diagnosing faults be that fault message is input to inside inference machine, inference machine is used according to fault message currently entered
Knowledge in knowledge base is made inferences by specified strategy, to identify fault element.
3. a kind of electric network failure diagnosis intelligent analysis method according to claim 1, it is characterised in that: the fault diagnosis
The method that system is positioned is to provide abort situation, fault type, failure phase by the COMTRADE waveform analysis to acquisition
Not, fault current, false voltage information.
4. a kind of electric network failure diagnosis intelligent analysis method according to claim 1, it is characterised in that: the OGSA-DAI
Client is grid user or mesh services by the heterogeneous database in Grid database service access grid, to reach several
According to the shared and collaboration processing of resource.
5. a kind of electric network failure diagnosis intelligent analysis method according to claim 1, it is characterised in that: the output result
It is to be shown by wireless network transmissions to remote control room using relevant data receiver.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110189575A (en) * | 2019-06-27 | 2019-08-30 | 广东电网有限责任公司肇庆供电局 | A kind of distribution O&M simulation training system based on big data |
| CN113156265A (en) * | 2021-03-29 | 2021-07-23 | 贵州电网有限责任公司 | Fault detection method and system for batch transfer of feeder lines of power distribution network |
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Application publication date: 20190416 |