CN106017551A - Intelligent transmission line integrated monitoring analysis and early warning method - Google Patents
Intelligent transmission line integrated monitoring analysis and early warning method Download PDFInfo
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- CN106017551A CN106017551A CN201610317651.2A CN201610317651A CN106017551A CN 106017551 A CN106017551 A CN 106017551A CN 201610317651 A CN201610317651 A CN 201610317651A CN 106017551 A CN106017551 A CN 106017551A
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Abstract
The invention discloses an intelligent transmission line integrated monitoring analysis and early warning method comprising the following steps: A, getting the operation data of a transmission line; B, using a transmission line detection module to collect and analyze a variety of monitoring information of the transmission line, managing the monitoring information of the transmission line in a unified way, and displaying the current operation condition of transmission line equipment together; C, evaluating the operation condition of the transmission line through use of an artificial neural network intelligent fault diagnosis method based on the monitoring information of the transmission line collected by the transmission line detection module and the environmental monitoring data and transmission line operation data of an operation area, and issuing an early warning in time before the line fails; and D, feeding the early earning information obtained in step C back to specified equipment and specified personnel. Through the method, the level of intelligence of a transmission line monitoring system can be improved, and potential fault risks in a transmission line can be found in a timely and accurate way.
Description
Technical field
The present invention relates to power system failure diagnostic and on-line monitoring field, particularly relate to a kind of intelligent transmission line of electricity and combine
Close monitoring analysis and early warning method.
Background technology
Along with the development of national economy, power load constantly rises, in " transferring electricity from the west to the east, north and south supply mutually, on national network " shape
Under gesture, distance, Large Copacity, high-tension transmission line of electricity will be more and more.In recent years, the basic routing line of some primary Grid
Ability to transmit electricity is up to or more than 1 m. gigawatt (GW) (Gigawatt, GW).The year two thousand twenty, the capacity of voltage levels backbone also will reach
To 1GW～1.5GW.The normal capacity of some heavy duty short-terms will reach 2GW, will be close to 3GW under accident mode.Therefore, frame is being ensured
Under the operation secured premise of empty power transmission sequence, increased the conveying capacity of existing electrical network by technological transformation and upgrading, improve electrical network
Operational efficiency, to meet the growing national economic development and people's lives electricity consumption needs, has important practical significance.
Power transmission state monitoring system is the intelligent grid construction important content in transmission of electricity link, is to realize transmission of electricity wire
State operating maintenance manages, and promotes the important technical of power transmission line professional production operational management lean level.Transmission line of electricity shape
State monitoring system realizes all kinds of grid equipment by sensor technology, wide-area communication and the information processing technology of various advanced persons
The real-time perception of running status, supervision early warning, analyzing and diagnosing and trend prediction.Power transmission state monitoring system is by being distributed in
Various sensors on power transmission line gather data, and are sent to main station system with reality by these monitoring informations of means of communication
The function of existing Centralizing inspection.Transmission line equipment on-line monitoring technique includes: transmission pressure temperature, aeolian vibration, wave, windage yaw
Angle, sag monitoring technology, insulator contamination monitoring technology, inclination of transmission line tower, vibration, ground connection erosion, invasion, Bird's Nest etc. are supervised
Survey technology；Electric transmission line channel environmental monitoring technology includes: monitoring transmission line icing technology, microclimate environmental monitoring technology,
Growth-gen monitoring identification technology, lightning monitoring identification technology etc..
Although in terms of the system integration, status monitoring agency (condition monitoring agent, CMA) can be united
Communication protocol between one different majors, different manufacturers, it is achieved state monitoring apparatus and the indifference communication of monitoring center of main website,
But, this framework based on main website-CMA-state monitoring apparatus also can only carry out the monitoring of fault to circuit, for line
The judgement of road fault and process still need to manually participate in, and some hidden danger the most not occurred for existing can not be sent out timely
Existing, the such as damaged surfaces such as insulator, gold utensil, so that whole system lacks predictable, reduce to a great extent
The intelligent level of power transmission line monitoring system.
Summary of the invention
It is an object of the invention to provide a kind of intelligent power transmission line comprehensive monitoring analysis and early warning method, it is possible to promote transmission of electricity
The intelligent level of circuit monitoring system, finds potential faults present in transmission line of electricity timely and accurately.
The present invention uses following technical proposals:
A kind of intelligent power transmission line comprehensive monitoring analysis and early warning method, comprises the following steps:
A: carrying out transmission line information collection to obtain transmission line of electricity service data, service data includes that static data, off-line are supervised
Survey data and online monitoring data；
B: utilize the transmission line faultlocating module multiple monitoring information of collection analysis transmission line of electricity, and monitoring letter multiple to transmission line of electricity
Breath is managed collectively, the operation conditions that centralized displaying transmission line equipment is current；
C: the multiple monitoring information of transmission line of electricity utilizing transmission line faultlocating module to collect the environment combining operation area prison
Survey data and transmission line of electricity service data, use the artificial neural network intelligent failure diagnosis method operation conditions to transmission line of electricity
It is estimated, timely early warning before line failure；
D: the early warning information obtained in step C is fed back to designated equipment and designated person.
In described step A:
Static data refers to that in power system, GIS-Geographic Information System gathers data, circuit design parameter, circuit operating experience data, sets
Standby ordinary maintenance management data and graphic image data；
Off-line monitoring data refer to GPS intelligent patrol detection data and manual inspection data in power system, and data type includes insulator
Null value data, electric data and mechanical data, the rod grounded resistivity measurements of tower, the disconnected number of share of stock evidence of wire and ground wire, burn data
And wear data；
Online monitoring data refers to insulator contamination online monitoring data in power system, conductor temperature and dynamic compatibilization data, thunder
Hit online monitoring data, tower bar tilts online monitoring data and differential vibration online monitoring data.
In described step B, transmission line faultlocating module is by line diagnosis module, insulator diagnostic module, the diagnosis of tower bar
Module, gold utensil diagnostic module and meteorological environment diagnosis module composition.
Described line diagnosis module includes line oscillation monitoring modular and line conductor running temperature monitoring modular.
The present invention enough promotes the intelligent level of power transmission line monitoring system, finds timely and accurately to exist in transmission line of electricity
Potential faults.The present invention obtains transmission line of electricity service data by gathering, and utilizing transmission line faultlocating module to realize will transmission of electricity
Circuit multiple monitoring information amount is managed collectively, the operation conditions that centralized displaying transmission line equipment is current.With conventional failure
Diagnostic method is compared, and the present invention uses artificial neural network intelligent failure diagnosis method, has in terms of the acquisition and process of information
The biggest advantage, and it is also equipped with the forecast function to transmission line malfunction while tracing trouble, occur in fault
Before send a warning in time.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the present invention.
Detailed description of the invention
Below in conjunction with drawings and Examples, the present invention is made with detailed description:
As it is shown in figure 1, intelligent power transmission line comprehensive monitoring analysis and early warning method of the present invention, comprise the following steps:
A: carrying out transmission line information collection and obtain transmission line of electricity service data, service data includes static data, off-line monitoring
Data and online monitoring data.
Static data refers to that in power system, GIS-Geographic Information System gathers data, circuit design parameter, circuit operating experience number
According to, equipment ordinary maintenance management data and graphic image data.
Off-line monitoring data refer to GPS intelligent patrol detection data and manual inspection data in power system, and data type includes absolutely
Edge null value data, electric data and mechanical data, the rod grounded resistivity measurements of tower, the disconnected number of share of stock evidence of wire and ground wire, burn
Data and wear data.
Online monitoring data refers to insulator contamination online monitoring data in power system, conductor temperature and dynamic compatibilization number
According to, thunderbolt online monitoring data, tower bar tilt online monitoring data and differential vibration online monitoring data.
B: utilize the transmission line faultlocating module multiple monitoring information of collection analysis transmission line of electricity, and prison multiple to transmission line of electricity
Measurement information is managed collectively, the operation conditions that centralized displaying transmission line equipment is current.
Transmission line faultlocating module is mainly examined by line diagnosis module, insulator diagnostic module, tower bar diagnostic module, gold utensil
Disconnected module and meteorological environment diagnosis module composition.
1. line diagnosis module includes line oscillation monitoring modular and line conductor running temperature monitoring modular.
1) line oscillation monitoring modular
Line oscillation monitoring modular passes through acceleration and the displacement data of sensor, sends information to transmission line faultlocating mould
Block, transmission line faultlocating module generates the displacement changing curve of a certain monitoring point of transmission pressure and whole monitoring range interior lines
The line oscillation change in displacement figure on road, determines line oscillation situation.
2) line conductor running temperature monitoring modular
Transmission line wire temperature is monitored by line conductor running temperature monitoring modular in real time, and sends information to power transmission line
Road detection module.Line conductor running temperature monitoring modular uses carrying current calculation technology, in conjunction with power transmission line dynamic capacity increase mould
Type, determines the maximum delivery capacity met under circuit service condition, makes full use of the stealthy capacity of circuit objective reality, improves line
The utilization rate on road.
2. insulator diagnostic module
Local ambient temperature, rainfall, wind speed and Leakage Current signal are sent to transmission line of electricity inspection by the timing of insulator diagnostic module
Surveying module and carry out data process, transmission line faultlocating module finds leakage current to change over situation and electricity by mathematical analysis
The non-linear relation of arc length degree, pollution layer resistance etc., provides warning message when reaching warning value.
3. tower bar diagnostic module
The vile weather such as severe snow, typhoon is easily caused shaft tower, and tower bar diagnostic module measures bar by double-shaft tilt angle sensor
Tower is at suitable line direction and angle of inclination, cross line direction, and sends information to transmission line faultlocating module.Transmission line of electricity is examined
Survey module and calculate shaft tower along line direction and the gradient in cross line direction and comprehensive gradient, give when reaching warning value
Go out warning message.
4. gold utensil diagnostic module
The wire interconnecting piece position that gold utensil diagnostic module is easily generated hot stall for gold utensil is monitored, and sends information to transmission of electricity
Line detection module.When temperature beyond limit, transmission line faultlocating module sends early warning signal.
5. weather environment diagnostic module
The meteorology of power transmission line corridor is detected by weather environment diagnostic module, the number such as including monitoring point gas epidemic disaster, wind direction
According to, and send information to transmission line faultlocating module.Transmission line faultlocating module utilizes weather warning model, to icing calamity
Evil carries out early warning, provides weather environment Monitoring Data the most also to other monitoring subsystems.
C: the multiple monitoring information of transmission line of electricity utilizing transmission line faultlocating module to collect the ring combining operation area
Border Monitoring Data and transmission line of electricity service data, use the operation to transmission line of electricity of the artificial neural network intelligent failure diagnosis method
Situation is estimated, timely early warning before line failure.
Comprehensive analyze the multiple monitoring information of transmission line of electricity that transmission line faultlocating module gathers, i.e. line diagnosis module, absolutely
The online data that edge diagnostic module, tower bar diagnostic module, gold utensil diagnostic module and meteorological environment diagnosis module collect, in conjunction with
Transmission line of electricity static data, offline inspection data and the online monitoring data collected in step A, and combine electrical equipment basis
Data, judge the equipment fault critical condition of circuit, on the premise of circuit is likely to occur fault, send event in time
Barrier information, announcement trunk maintainer carries out operation, fixes a breakdown.
Meteorological system monitoring in monitoring system can provide the environmental monitoring data of operation area, when detect sleet,
During a series of extreme natural disaster condition such as dust storm, time, the place to disaster generation, occurrence scope carries out early warning information and divides
Analysis, timely announcement trunk run unit is formulated disaster alarm scheme, is reduced the disaster that disaster occurs to bring circuit.
Formulate complete disaster alarm system, issue early warning alarm mechanism, Hazard processes emergency repair including disaster in advance
Four aspects such as evaluation mechanism, emergency materials allotment mechanism are carried out after mechanism, disaster, in circuit generation Hazard processes, emergent
Command centre can regulate and control the information such as monitoring image, data and speedily carry out rescue work for emergency command.
Conventional fault diagnosis method sets up model according to historical experience, often when breaking down in transmission line of electricity system
Time, the input in model before and output relation will change, operator's change by contrast model parameter, thus judge be
Whether system there occurs fault.This method model simple structure, along with updating of transmission line of electricity system, the fault of generation is also
More complicated, set up accurate model more difficult in advance, so this diagnostic method receives the biggest constraint, it is impossible to
The order of severity of failure judgement and on the impact of diagnosis object and development trend.And along with power system constantly reform same
Time, the technicalization degree of devices in system is also improving constantly, and transmission line malfunction diagnostic method starts to march toward the intelligent stage.
Compared with conventional fault diagnosis method, intelligent trouble diagnosis method has the biggest advantage in terms of the acquisition and process of information, and
And it is also equipped with the forecast function to transmission line malfunction while tracing trouble.Therefore, the present invention uses ANN
Network intelligent failure diagnosis method, sends a warning before fault occurs in time.
Artificial neural network compares with general artificial intelligence approach, has powerful adaptive learning ability, distributed
Information storage capability, parallel processing capability, unstructured information disposal ability and powerful Generalization Ability etc., neutral net has
Have and approach the ability of any Continuous Nonlinear function and the ability from sample learning, the fault diagnosis of neutral net with arbitrary accuracy
Method is divided into two stages when realizing fault diagnosis:
1. the study stage
Selected suitable network structure and scale, by certain learning algorithm, can reflect the dynamic characteristic of system, modeling
The variable of error and interference effect inputting with corresponding state encoding (can artificially specify) as desired output as neutral net,
Constitute input/desired output sample pair, neutral net is trained, determines weights and the threshold value of neutral net；
2. the fault diagnosis stage
Use the neutral net trained, for a given input, just produce a corresponding output, by output and fault
Coding compares and can determine fault easily.
Neural network failure diagnostic mode:
The most direct neutral net carries out fault diagnosis
Using failure symptom as the input of neutral net, diagnostic result is as the output of neutral net.First with existing event
Barrier sign and diagnostic result carry out off-line training to neutral net, make neutral net pass through weights memory failure symptom and diagnosis knot
Corresponding relation inherent between Guo, the most just can utilize the neutral net after training to carry out fault diagnosis, only will obtain
Failure symptom is added to the input of neutral net, so that it may to obtain suitable diagnostic result.
2. produce residual error by neutral net
Neutral net by substitute descriptive system properly functioning time analytical model.Neutral net to be utilized produce residual error, first by
Directly measure or gather in simulations the input of diagnosed object, output data, set up its data base, by these sample datas pair
Neutral net is trained, and then could be used for producing residual error.
3. evaluate residual error by neutral net
When applying neutral net to evaluate residual error, need to apply residual error storehouse and fault database as sample, they to be trained.Training
Residual error can be evaluated application on site neutral net after end, to judge whether system is out of order, and point out possible
The source of trouble.
4. do diagnosis further by neutral net
Direct neutral net carrys out the nonlinear function between matching system performance parameter and the saturated fault of executor, neural
The output of network is the i.e. corresponding failure condition of certain executor.
5. make adaptive error by neutral net to compensate
Utilize Systems with Linear Observation device estimating system state or be output as fault diagnosis and provide redundancy relationship, utilizing neutral net adaptive
Answer compensation method eliminate the model error impact on residual error, it is achieved thereby that exist do not model nonlinear in the case of robust
Fault diagnosis.
D: the early warning information timely feedback operation personnel that will obtain in step C, provide repair method for production decision simultaneously,
It is provided with value data message for planning and design of power system department, R&D institution.
Establish and improve line fault maintenance decision scheme, state-maintenance management system, technical system and execution system, formulate
Perfect the work standard and administrative standard, transmission line of electricity once breaks down, and system sends fault-signal and fault type automatically, and
After providing clear and definite maintenance solution, maintenance to implement, system receives the feedback information of fault diagnosis, makes O&M integration state
Maintenance and Repair are orderly, enforcement of regulations, it is ensured that equipment and electric power netting safe running.
The repair based on condition of component that intelligent power transmission line comprehensive monitoring is analyzed may replace the conventional mandatory plan with blindness
Maintenance, reduces and much keeps in repair the forced outage loss and emergency maintenance loss brought, decrease superfluous maintenance, improve dimension
Repair work efficiency, add the availability of equipment, save a large amount of maintenance cost.
Claims (4)
1. an intelligent power transmission line comprehensive monitoring analysis and early warning method, it is characterised in that comprise the following steps:
A: carrying out transmission line information collection to obtain transmission line of electricity service data, service data includes that static data, off-line are supervised
Survey data and online monitoring data；
B: utilize the transmission line faultlocating module multiple monitoring information of collection analysis transmission line of electricity, and monitoring letter multiple to transmission line of electricity
Breath is managed collectively, the operation conditions that centralized displaying transmission line equipment is current；
C: the multiple monitoring information of transmission line of electricity utilizing transmission line faultlocating module to collect the environment combining operation area prison
Survey data and transmission line of electricity service data, use the artificial neural network intelligent failure diagnosis method operation conditions to transmission line of electricity
It is estimated, timely early warning before line failure；
D: the early warning information obtained in step C is fed back to designated equipment and designated person.
Intelligent power transmission line comprehensive monitoring analysis and early warning method the most according to claim 1, it is characterised in that described
In step A:
Static data refers to that in power system, GIS-Geographic Information System gathers data, circuit design parameter, circuit operating experience data, sets
Standby ordinary maintenance management data and graphic image data；
Off-line monitoring data refer to GPS intelligent patrol detection data and manual inspection data in power system, and data type includes insulator
Null value data, electric data and mechanical data, the rod grounded resistivity measurements of tower, the disconnected number of share of stock evidence of wire and ground wire, burn data
And wear data；
Online monitoring data refers to insulator contamination online monitoring data in power system, conductor temperature and dynamic compatibilization data, thunder
Hit online monitoring data, tower bar tilts online monitoring data and differential vibration online monitoring data.
Intelligent power transmission line comprehensive monitoring analysis and early warning method the most according to claim 1, it is characterised in that: described
In step B, transmission line faultlocating module is by line diagnosis module, insulator diagnostic module, tower bar diagnostic module, gold utensil diagnosis mould
Block and meteorological environment diagnosis module composition.
Intelligent power transmission line comprehensive monitoring analysis and early warning method the most according to claim 3, it is characterised in that: described
Line diagnosis module includes line oscillation monitoring modular and line conductor running temperature monitoring modular.
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