CN107346466A - A kind of control method and device of electric power dispatching system - Google Patents
A kind of control method and device of electric power dispatching system Download PDFInfo
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Abstract
The embodiment of the present invention provides a kind of control method and device of electric power dispatching system.Wherein, method includes the steps：The monitoring parameters at equipment each moment are obtained, the monitoring parameters include：One or more in the running state parameter of power network, equipment running status parameter, equipment operating environment parameter where equipment；Cluster Evaluation is carried out to the monitoring parameters at each moment, to obtain working state evaluation result；The working state evaluation result is included in pop-up window corresponding to the equipment.Technical scheme provided in an embodiment of the present invention realizes the associated application of the real-time monitoring parameters of equipment and equipment deficiency, warning information etc., improves monitoring of tools operating analysis and ability that equipment is controlled automatically.
Description
Technical field
The present invention relates to electric and electronic technical field, more particularly to a kind of control method and device of electric power dispatching system.
Background technology
Electric power dispatching system is a big system being formed by connecting by numerous generatings, transmission of electricity, power transformation, distribution, electrical equipment,
The failure of power equipment not only results in electric power system accidental power failure and causes electric power enterprise economic benefit to reduce, and is possible to
Cause the heavy economic losses of user and be discontented with, therefore the reliability of these equipment and operation conditions directly determine whole system
Stable and safety, also determine the economic benefit and power supply quality and reliability of electric power enterprise.All kinds of monitoring informations are entered into rower
Standardization manages, and carries out integrated supervision, is run by unit exception signal analysis, equipment fault fail-safe analysis, equipment on-line
The application auxiliary monitor such as state analysis is monitored to grid equipment, early warning, analysis and disposal, lifting monitor transports to power network
The control ability of row situation and the pre-control ability to power networks risk.
The content of the invention
The embodiments of the invention provide a kind of control method and device of electric power dispatching system, to lift operation of power networks situation
Automatic monitoring capacity and the automatic pre-control ability to power networks risk.
Then, in one embodiment of the invention, there is provided a kind of control method of electric power dispatching system.This method bag
Include：The monitoring parameters at equipment each moment are obtained, the monitoring parameters include：The running state parameter of power network, equipment where equipment
One or more in running state parameter, equipment operating environment parameter；Cluster is carried out to the monitoring parameters at each moment to comment
Estimate, to obtain working state evaluation result；The working state evaluation result is included in pop-up window corresponding to the equipment
In.
Alternatively, the equipment is multiple；And methods described, in addition to：To the working state evaluation knot of multiple equipment
Fruit is filtered；The working state evaluation result of the equipment of filter condition, which will be met, to be included in its each self-corresponding pop-up window
In.
Alternatively, the equipment working state monitoring method may also include：According to the moment each in history of the equipment
Monitoring Data, simulation recurrence is carried out using default accident inversion simulation algorithm；Simulation palingenetic process is analyzed, to draw
Device fault information.
Alternatively, the equipment working state monitoring method may also include：According to device structure, Fault tree is established,
Include the multistage event for forming tree in the Fault tree；It is general using fault model probability calculation model and failure
Rate computation model, the probability of malfunction of events at different levels in the Fault tree is calculated using device history defect record.
Alternatively, methods described may also include：Obtain and the device-dependent sample data；The sample data is entered
Row Least Square in Processing, and the structure of the equipment and the fault mode are calculated using analytic hierarchy process (AHP) evaluation model
Importance；According to the structure of the equipment and the fault mode importance, the probability of equipment failure is modified.
In another embodiment of the invention, there is provided a kind of control device of electric power dispatching system.The device includes：The
One acquisition module, for obtaining the monitoring parameters at equipment each moment, the monitoring parameters include：The operation shape of power network where equipment
One or more in state parameter, equipment running status parameter, equipment operating environment parameter；Evaluation module, for described each
The monitoring parameters at moment carry out Cluster Evaluation, to obtain working state evaluation result；Display module, for by the working condition
Assessment result is shown in pop-up window corresponding to the equipment.
Technical scheme provided in an embodiment of the present invention, by obtaining the monitoring parameters at equipment each moment, then to described each
The monitoring parameters at moment carry out Cluster Evaluation to obtain working state evaluation result, realize that the real-time monitoring parameters of equipment lack with equipment
Fall into, the associated application of warning information etc., improve monitoring of tools operating analysis and ability that equipment is controlled automatically.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are this hairs
Some bright embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can be with root
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet of the control method for electric power dispatching system that one embodiment of the invention provides；
Fig. 2 provides the schematic diagram of system architecture diagram for one embodiment of the invention；
Fig. 3 is the system hardware configuration diagram that one embodiment of the invention provides；
Fig. 4 is a kind of structural representation of the control device for electric power dispatching system that one embodiment of the invention provides.
Embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described.
In some flows described in the specification, claims and above-mentioned accompanying drawing of the present invention, contain according to spy
Multiple operations that fixed order occurs, these operations can not be performed or performed parallel according to the order that it occurs herein.
The sequence number of operation such as 101,102 etc., it is only used for distinguishing each different operation, it is suitable that sequence number does not represent any execution in itself
Sequence.In addition, these flows can include more or less operations, and these operations can in order be performed or held parallel
OK.It should be noted that the description such as herein " first ", " second ", be for distinguishing different message, equipment, module etc.,
Sequencing is not represented, it is different types also not limit " first " and " second ".
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes.Obviously, described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, the every other implementation that those skilled in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
Fig. 1 shows a kind of schematic flow sheet of the control method for electric power dispatching system that one embodiment of the invention provides.
As shown in figure 1, methods described includes：
101st, the monitoring parameters at equipment each moment are obtained, the monitoring parameters include：The running state parameter of equipment place power network,
One or more in equipment running status parameter, equipment operating environment parameter.
102nd, Cluster Evaluation is carried out to the monitoring parameters at each moment, to obtain working state evaluation result.
103rd, the working state evaluation result is included in pop-up window corresponding to the equipment.
Technical scheme provided in an embodiment of the present invention, by obtaining the monitoring parameters at equipment each moment, then to described each
The monitoring parameters at moment carry out Cluster Evaluation to obtain working state evaluation result, realize that the real-time monitoring parameters of equipment lack with equipment
Fall into, the associated application of warning information etc., improve monitoring of tools operating analysis and ability that equipment is controlled automatically.
In a kind of achievable technical scheme, the equipment provided in above-described embodiment is usually multiple, and then pop-up window
The display space of mouth is limited, it is therefore desirable to carries out primary screening to the working state evaluation result of each equipment, will meet
The working state evaluation result of screening conditions is shown in corresponding pop-up window.That is, the technical method that above-described embodiment provides,
It may also include the steps of：
The working state evaluation result of multiple equipment is filtered；
The working state evaluation result of the equipment of filter condition, which will be met, to be included in its each self-corresponding pop-up window.
Wherein, above-mentioned filter condition can be：Working state evaluation result is entering for abnormality or malfunction result
Row display.
Further, the technical scheme that the present embodiment provides may also include accident inversion process.Accident inversion process is exactly
In order to make full use of Historical Monitoring data, ability is controlled to improve monitoring operating analysis and equipment working state.When it is implemented,
The accident inversion process includes：According to the Monitoring Data at the moment each in history of the equipment, using default accident inversion
Simulation algorithm carries out simulation recurrence；Simulation palingenetic process is analyzed, to draw device fault information.
In addition to failure inverting, the present embodiment provide technical scheme can also the structure based on equipment occur come pre- measurement equipment
The probability of failure.The purpose of prediction probability of malfunction is in order to which foreseeable problems as early as possible will be existing passive will to find that failure changes
To actively discover failure, trouble-saving ability is improved.A kind of achievable technical scheme is the technical scheme that the present embodiment provides
Also include probability of malfunction prediction process.Probability of malfunction prediction process includes：According to device structure, Fault tree is established, institute
State the multistage event for including in Fault tree and forming tree；Using fault model probability calculation model and probability of malfunction
Computation model, the probability of malfunction of events at different levels in the Fault tree is calculated using device history defect record.
Further, in order to improve the accuracy of prediction probability of malfunction, probability of malfunction provided in an embodiment of the present invention is predicted
Process may also include：
S1, obtain and the device-dependent sample data；
S2, Least Square in Processing is carried out to the sample data, and it is described to use analytic hierarchy process (AHP) evaluation model to be calculated
The structure of equipment and the fault mode importance；
S3, the structure according to the equipment and the fault mode importance, are modified to the probability of equipment failure.
Need exist for explanation be：The accident inversion process being related in methods described and method that above-described embodiment provides
And probability of malfunction prediction process can deploy explanation respectively in following content.
With reference to concrete application scene, technical scheme provided in an embodiment of the present invention is described in detail.
The informatization of monitoring of tools be embodied in in-depth monitoring of tools data application, lifting monitoring information managerial skills,
Towards three aspects of online high-speed simulation of monitoring business.In terms of deepening monitoring of tools data application：Centralized Monitoring master is improved to set
Standby machine account, the associated application of equipment resume and equipment deficiency, warning information etc. is realized, improve monitoring operating analysis and equipment is controlled
Ability；Study the monitoring of tools running status Predicting Technique based on big data technology, structure monitoring device defect, failure disposal mould
Type, realize equipment fault early-warning with actively disposing.In terms of lifting monitoring information managerial skills：Specification supervisory control of substation data connect
Mouthful, the maintenance of supervisory control of substation data source, plug and play are realized, improves supervisory control of substation information access efficiency；Establish monitoring letter
Analyst's system is ceased, improves the depth of monitoring alarm information analysis；The intelligent alarm function towards power system monitor business is built, is carried
The intelligent level of high accident analysis.
Towards the online high-speed simulation of monitoring business：Monitor's emulation training platform is established, realizes substation fault, exception
Intellectual analysis and aid decision, realize grid equipment three-dimensional visualization displaying, and towards monitoring business operation anticipation,
Prediction failure, accident inversion etc..
The basic object of plant maintenance and maintenance is to make equipment under arms in the phase, and the reliability and availability of equipment are maintained at
It is expected that it is horizontal, and technical performance reaches design requirement.For power transmission and transforming equipment, science extends maintenance interval, rationally determines inspection
Project is repaiied, effectively manages maintenance process, it is the target that enterprise is pursued to ensure maintenance effect conscientiously.Progress and understanding with science and technology
Horizontal raising, equipment Maintenance Policy, which has, to be obviously improved, and advanced country is from only with " correction maintenance "（Break-down
Maintenance, BM）System, " periodic maintenance "（Time Based Maintenance, TBM）System, progressively recognizes to want slave unit
State is set out, or even the history of retrospect equipment operation, using " State Maintenance " based on device physical status（Condition
Based Maintenance, CBM）System, also think should also be based on the RCM centered on reliability for some（Reliability
Centered Maintenance）System or actively maintenance system（PAM）Etc..These maintenance modes do not repel mutually, and they can
To exist jointly, and complement one another.Determine that equipment state will rely on many technologies, such as：Equipment condition monitoring and fault diagnosis skill
Art, equipment dependability evaluation and Predicting Technique, equipment life assessment and administrative skill.
Status monitoring includes on-line monitoring, offline inspection if necessary and experiment, and is not contacted directly with operational outfit
(such as infrared monitoring) all available to running state data means；On-line monitoring refers to be directly installed on apparatus body
The measuring system and technology for characterizing equipment running status characteristic quantity can be recorded in real time.Equipment state diagnosis was existed according to a certain moment
The characteristic quantity of line monitoring and the result above monitored carry out longitudinal comparison analysis, different mutually online from same category of device or same equipment
The result of monitoring carries out lateral comparison, and combines offline inspection test data over the years and operating experience etc., to fault type, seriously
Degree and reason etc. make comprehensive descision, and then make maintenance policy and method.Equipment state online evaluation is to monitor on-line
As a result the type of failure, position, the order of severity and reason are judged, and predict residual life that equipment continues to run with and
Provide the suggestion of maintenance policy and method.Obvious inline diagnosis, which requires that on-line monitoring system must have, can reflect various features amount
Monitoring function, abundant expert system and the intelligentized diagnosis capability of (single features are most difficult to meet application requirement).
Equipment on-line running status CELA is established, equipment on-line running status is carried out based on big data analytical technology
Assess, fusion device history and real-time telemetry carry out assessment meter by DBSCAN clustering algorithms to the running status of equipment
Calculate, realize real-time assessment of the monitor to grid equipment running status.
The production of system architecture across Electricity Information Network controls great Qu and management information great Qu, is totally divided into four layer architectures,
Five center applications.As shown in Fig. 2 four layers include：Data Layer, model layer, engine layers, application layer.Five center applications include：
Equipment complex central monitoring position, monitoring signal analysis treatment center, equipment fault Reliability Analysis Center, equipment on-line running status
CELA, monitoring of tools business management and control center.
Data acquisition：For extracting initial data, cleaning dirty data from D5000/EMS, OMS, PMS and other systems, turning
Change system modeling data.
Data Layer：Storage for all kinds of basic datas of system.
Model layer：For the model construction needed for system types of applications.
Engine layers：The driving of all kinds of algorithm models is provided for types of applications.
Application layer：For building all kinds of management of dispatching of power netwoks monitoring of tools and intellectual analysis application
As shown in figure 3, system is used to dispose in management information great Qu framework applications server cluster and database server cluster
System is applied and database, additionally needs a swap server and is used to dispose data sharing service, two calculation servers are used
Calculate and analyze in monitoring of tools big data.
Monitoring of tools information specialist mainly realize in storehouse by voltage class, device type to primary equipment, secondary device it is distant
Survey, remote signalling, remote information table enter structured management, and form monitoring of tools information specialist storehouse.Based on monitoring of tools information specialist
Storehouse, realizes the generation that automatically configures to new construction monitoring of tools information table, improve monitoring of tools information access operating efficiency and
Work quality.Realized by new construction monitoring of tools management flow from design, construction, debugging, examination, transmission, input
Procedure, regulation and standardization management to professional links such as filings.
The realization of equipment centralized monitor platform is alerted to transformer station's Centralized Monitoring, accident class is pressed in power transmission and transformation on-line monitoring alarm,
Exception class, convergence and Classification Management out-of-limit, that conjugate, inform class warning information.The monitoring signal of power transmission and transforming equipment is opened up according to it
The relation of flutterring has certain logical associations, places it in the abnormal feelings that display together can correctly judge to occur during equipment operation
Condition.If monitoring signal is judged that efficiency is low again after only chronologically display is, it is necessary to manually find classification.Power transmission and transforming equipment
Integrated supervision module is run by topological analysis, the signal that power transmission and transforming equipment has logical associations is placed on according to spaced relationship
Together, monitoring personnel is facilitated to carry out unified monitoring, and can is pushed away based on expert knowledge library according to its logical associations
Reason, provides analytical conclusions and processing scheme.
Monitoring of tools abnormal signal disposes the relevant abnormalities signal disposal process after realizing monitor's confirmation warning information
Closed loop management, including accident handling workflow management, monitoring information find defect disposal workflow management, multiple, take place frequently alarm disposal
Workflow management.
Multi-level, various dimensions the statistical analyses to warning information are realized in the multidimensional analysis of monitoring of tools signal, are mainly included
Apply below：Monitoring information statistical analysis, the specialized index analysis of monitoring, the analysis of monitoring information trending, alarm signal are reasonable
Property analysis etc..
Monitoring of tools abnormal signal expert system, power transmission and transformation on-line monitoring and supervisory control of substation signal total amount are huge,
Exception class signal conventional process be operations staff judged according to operating standard, experience and field condition, reasoning, place
Reason.Because signal transacting is related to reasoning from logic and Symbol processing problem, it is difficult to be described with accurate mathematical modeling, it is impossible to
Solve or be resolved by traditional mathematical method.At present such issues that, generally use artificial intelligence technology handled.
The system is handled exception class signal using expert system approach.Expert system approach is in a certain specific area, with neck
The method for carrying out complex reasoning solution of enriching one's knowledge of domain expert, it can make up the deficiency of simple Mathematical.Compared to other people
Work intelligent method, when expert system approach at utmost avoids incomplete information or distortion, caused variation fault model causes
Abnormal identification failure.
Equipment fault monitor full information inverting, accident full information recollect inverting by record accident occur before and after power network it is each
Class sequence of events, such as the information such as switch tripping, closure, protection act, remote measurement, remote signalling exception, form the information of crash analysis
Basis, by the inverting function of emergency review, the emergency review of preservation is recurred by scene at that time.Monitoring personnel passes through
Need to carry out the history accident of inverting in history accident window selection, the reason for can easily and effectively analyzing accident, formulate
Accident handling measure, avoid maloperation from triggering major break down, ensure power grid security economical operation.It can also train and provide for monitor
Teaching notes.
Equipment dependability is analyzed, and to complete equipment dependability analysis, it is necessary first to establish equipment and its fault database, then shape
Forming apparatus fault tree and fault mode, equipment failure mode probability is obtained by device history fault data and computation model, most
Afterwards probability of equipment failure is modified to obtain according to device structure and its fault mode importance and probability of malfunction corrected parameter
Equipment reliability.
Equipment on-line state estimation, running status online evaluation modular concept：It is artificial to substitute based on data mining algorithm
Mode to the measurement parameters at equipment each moment, including operation of power networks state parameter, equipment running status parameter, equipment operation ring
The real-time running datas such as border parameter carry out the Cluster Evaluation of equipment state.
Monitoring of tools business management and control center：Conforming equipment monitoring information point table, establish standardization, the monitoring of tools of automation
Information point table, and by SOP flows realize to monitoring of tools information point table work out, examination ＆ approval, issue, access, change, check and accept it is complete
Process flow management and control.
Equipment complex central monitoring position：Lifting means monitoring signal analysis efficiency, equipment centralized monitor alarm is existed with state
Line monitoring alarm and the information such as package maintenance, defect, experiment progress integrated supervision and analysis, and assistant starting monitoring signal
Disposal process.For quick and precisely analysis of the lifting monitor to power grid accident and emergency disposal ability, auxiliary monitor is convenient, has
The coherent signal rule of effect ground analysis accident, formulates accident handling measure and scheme.
Center is disposed in signal analysis：Around the remote signals of monitoring device, to taking place frequently, multiple, hair, leakage hair by mistake alarm letter
Breath carries out programming count and disposed with defect, and the relevant device warning information in the case of unit exception, failure, protection act are believed
Breath, switch changed position information etc. establish expert reasoning analysis model, analyze abnormal cause by expert system approach and provide disposal and build
View.
Equipment dependability analysis center：The signal analysis means of abundant monitoring signal analyst, the equipment based on big data
Monitoring intelligent aid decision application, the Risk-warning in advance that auxiliary monitor, signal analysis person run to monitoring device.
Equipment on-line running status CELA：Based on data mining algorithm, equipment on-line service data is clustered
Assess, auxiliary monitor grasps the on-line operation state of grid equipment in real time.
Specifically, the Scheme Choice for reaching above-mentioned function effect is as follows：
Monitoring of tools business management and control center mainly realize by voltage class, device type to primary equipment, secondary device remote measurement,
Remote signalling, remote information table enter structured management, and form monitoring of tools information specialist storehouse.Major function includes：Equipment remote signalling is believed
Number maintenance, the maintenance of equipment telemetered signal, equipment remote-control signal maintenance, protection equipment signal maintenance, monitoring of tools information point table from
The functional modules such as dynamic generation.Remote measurement, remote signalling, remote information point according to transformer station's difference voltage class equipment interval carry out structure
Change and safeguard, form monitoring of tools information specialist storehouse, and monitoring information table is automatically generated by monitoring information table create-rule, and in fact
The intelligent check of existing monitoring information table.Realize and accessed with dispatching concentration monitoring（Change）Check and accept, license association flow and SOP
Seamless access.
System deployment is in safe II areas, it is necessary to from external system to equipment topology information, power transmission and transforming equipment nameplate parameter, tune
Operational factor, fault message, service information, experiment information, power network remote signalling, telemetry are controlled, weather information data etc. is adopted
Collection.
Current monitor person monitors that relying on D5000/EMS and power transmission and transformation equipment state monitors on-line to grid equipment running situation
Etc. multiple systems, constantly switching is needed between the systems when being monitored to equipment running status, workload is big and holds
Easily omit.On the other hand, it is necessary to which the power transmission and transforming equipment paid special attention to alerts and accident class signal, and other kinds monitoring letter
It is number mixed in together, only chronologically show, monitor is difficult to be concerned about the signal that needs are paid special attention to.Therefore, system establishes
Equipment runs integrated supervision module, realizes the classification and filtering of signal.Whole signals are retouched according to unified standard, when comprehensive
Unit where sequence and signal carries out signal and shown, basis signal importance, the picture pop-up of plant stand where carrying out signal and
Audio alert, and support that directly starting device defect flow, record monitor daily record etc. in systems.System application interface, user
Plant stand is selected in the whole network wiring diagram, corresponding interval and equipment can be selected into selected plant stand, is shown according to the selection of user
The relevant information of corresponding whole station, interval or specific device object.
Accident full information recollects all kinds of sequences of events of power network before and after inverting is occurred by record accident, such as switch is jumped
The information such as open and close conjunction, protection act, remote measurement, remote signalling exception, form the Information base of crash analysis, pass through the anti-of emergency review
Function is drilled, the emergency review of preservation is recurred by scene at that time.Major function includes:Equipment fault library management, equipment
The configuration of failure inverting signal, equipment fault inverting management etc..
Monitoring signal analysis treatment center, around the remote signals of monitoring device, the announcement to taking place frequently, multiple, mistake is sent out, leakage is sent out
Alert information carries out programming count and disposed with defect, and dynamic to the relevant device warning information in the case of unit exception, failure, protection
Make information, switch changed position information etc. and establish expert reasoning analysis model, analyzed by expert system approach at abnormal cause and offer
Set up view.
Monitoring signal anomaly analysis based on expert system, expert system major function includes knowledge base, inference machine is conciliate
Release device.
Wherein, knowledge base is abnormal by the typical case of knowledge engineer and domain expert's cooperation analytical equipment, carries out classification and returns
Receive and summarize, stored using regular expression mode, form knowledge base.Knowledge base possesses study mechanism, by man-machine interaction circle
Face carries out the expansion study and amendment study of knowledge.Inference machine is believed using the conclusion of current device abnormal information and knowledge base
Breath, to be currently entering the abnormal information of inference machine according to inference strategy progressively reasoning until obtaining a result.Inference machine mainly wraps
Include inference method and inference strategy two parts.Inference method uses causality rationalistic method, i.e.,：Domain knowledge is expressed as certainty
As a result.Inference strategy uses Mixed reasoning strategy, the advantages of combining forward reasoning and backward reasoning strategy.Interpreter foundation pushes away
The exception or the confidence level of accident conclusion that reason machine infers are ranked up, and provide unit exception reason and place with visual means
Reason is suggested.
Equipment dependability analysis center, realize foundation and the equipment dependability point of the Fault tree of power transmission and transforming equipment
Analysis, major function include：Fault tree management, the management of probability of equipment failure computation model, probability of equipment failure correction model
Management, equipment dependability analysis displaying etc..
It is first depending on device structure and establishes Fault tree, is calculated using fault model probability calculation model and probability of malfunction
Model, probability of equipment failure is calculated using device history defect record.Then Chemical Apparatus Importance Classification, enlistment age, equipment reparation are passed through
The parameters such as sexual behavior part, result of the test are modified by modification rule and algorithm, obtain equipment dependability index.
T is top layer event, M classes are intermediate event, X classes are bottom event, indicate for door, indicate+be OR gate.Bottom
Event forms the minimal cut set of fault tree, can not again divide, have atomicity.Calculated using exponential distribution or Weibull distribution model
Method, calculate the bottom probability of happening, further according to or and gate logic, calculate the intermediate layer probability of happening, finally calculate top layer event it is general
Rate.The top layer probability of happening is bigger, illustrates that the probability of equipment generation failure is bigger, the reliability of equipment is lower.Due to equipment knot
The difference of structure and component function, each bottom event have many difference, some bottoms with intermediate event to top layer event disturbance degree
Or intermediate event influences very little to top layer event, as transformer body gets rusty, when no generation intensity is with Leakage, to becoming
The performance of depressor does not almost have, and when winding is produced and generated electricity, transformer performance can be greatly affected, it is necessary to have a power failure when serious
Maintenance.In addition, any component all can aging, some components after replacing performance can jumping characteristic improve.Therefore according to event
Barrier tree is calculated after the probabilities of happening at different levels, it is necessary to carry out related amendment according to the characteristics of equipment.This programme is set according to power transmission and transformation
Standby structure and handling characteristics, the factors such as component importance, enlistment age, ageing rate and maintenance event are carried out to the probabilities of happening at different levels and repaiied
Just.
Importance amendment, importance evaluation model is before importance amendment is carried out, it is necessary to structure and failure mould to equipment
Formula importance is evaluated, and obtains importance parameter.Evaluation to device structure and fault mode importance, is one very special
The process of industry is, it is necessary to which the professional person for possessing abundant practical experience provides large batch of data sample.In expert data sample
On the basis of, Least Square in Processing is carried out to sample data, using analytic hierarchy process (AHP)（Analytic Hierarchy
Process, AHP）Evaluation model obtains structure and fault mode importance.
Importance Function of Evaluation completes evaluation index and safeguards that expert is to device structure and fault mode importance evaluating data
Collection, the processing of sample, and importance is calculated according to AHP evaluation models.
Importance correction model, after structure and fault mode importance parameter is obtained, using following method to power transmission and transformation
Probability of equipment failure carries out importance amendment：Probability of malfunction amendment is carried out using following model：
Intermediate member probability of malfunction correction model：P(Mi)=ΣWuiP(Mij)；Fault mode probability of malfunction amendment P (Mi)=Σ
WfiP(Xij)。
Wherein Wui represents part（That is component）Importance；Wfi represents the importance of fault mode.
Importance value has to comply with specification：With a component or the component of structure and the sum of fault mode importance
For 1.
Enlistment age corrects part：Long-term statistics shows, the device systems that parts are formed.The coordinate longitudinal axis represents fault rate,
Transverse axis represents the time of experience, and in terms of time change, curve is rendered obvious by 3 different sections.
（1）Earlier failure period：In the A stages that equipment begins to use, generic failure rate is higher, but with equipment usage time
Continuity, fault rate will reduce substantially, and this stage claims earlier failure period, also known as running-in period.
（2）Chance failure period：Using entering B-stage, fault rate substantially tends towards stability state equipment, tend to one it is relatively low
Definite value, show that equipment enters stable service stage.During this period, failure occurs what is usually happened suddenly at random, has no a set pattern
Rule.
（3）The spoilage malfunction phase：Equipment is using the stage in later stage C is entered, and by long-term use, fault rate rises again, and
Failure is ubiquitous and scale, and for the service life of equipment close to ending, this stage claims the spoilage malfunction phase.
Prosthetic event amendment, in equipment is whole during one's term of military service, there are many components by repairing or changing, its is reliable
Property can be restored, such as the non-body apparatus of transformer.Maintenance or replacing are produced by maintenance event, and title is this can to recover member
The event of device reliability is prosthetic event.After prosthetic event produces, using following rules to first device after maintenance or replacing
The failure of part is modified：
（1）In tb points early stages, do not correct；
（2）When the enlistment age tb-te between, it is necessary to correct.If te point failures probability P (te)=1, corrected using linearisation.
Prosthetic event amendment is triggered by maintenance event.
Ageing rate amendment, there are many components not change, iron core, the winding of such as transformer, aging can make
This component reliability declines, i.e., probability of malfunction improves.Therefore, it is necessary to carry out aging amendment.Ageing rate is can be by testing
Data, judge that directive/guide is calculated according to relevant device directive/guide, such as oil-filled transformer insulation ag(e)ing.
Different equipment and part, there is different ageing rate judgment rules, it is necessary to judge that directive/guide is carried out to it according to aging
Safeguard.
Equipment on-line state estimation center, the at present assessment to equipment state are mainly the deduction of points according to equipment state overhauling
Standard and weight are assessed, and all evaluation items, standard of deducting point, weight are empirically provided by associated specialist, are lacked
The weary scientific analysis to sample data, therefore the state evaluated also can not reflect the real state of current device with regard to natural,
All made assessments all carry this defect on the basis of this, do not reach the target for tending to the assessment of equipment time of day.In addition
The quantity of state evaluation of repair based on condition of component relies primarily on the Monitoring Data bonding apparatus operations staff of power transmission and transforming equipment on-line monitoring system
Irregular progress equipment-patrolling, experiment, provide after maintenance, generally using the equipment evaluation result at a certain moment as the statistics when
Between assessment result in section, be mainly used in instructing overhaul of the equipments arrangement.It is difficult to the real-time assessment of equipment state, it is impossible to reflect
The time of day at equipment current time, regulation and control model of integration dispatching monitor can not be supported to control equipment running status in real time
Requirement.
Accomplish the real-time assessment of equipment state it is necessary to according to the characteristic quantity data of equipment come assessment equipment state, then
Assessment mode just should be able to real embodiment characteristic quantity data rule, state classification result must be set up in section's credit to data
On analysis basis.The general principle of cluster analysis is in the case of no priori, based on the viewpoint of " things of a kind come together, people of a mind fall into the same group ", is used
Mathematical tool analyzes the distance between each sample vector and deployment conditions, and classification is divided according to the distance of sample.To equipment
The Cluster Evaluation of state, can be by historical metrology value array by similarity degree division classification so that same according to clustering algorithm is based on
The similitude between element in one kind is more stronger than the similitude of the element of other classes.Based on dividing each cluster in cluster result
Analysis can intuitively distinguish normal condition and problem state.Any priori conditions are not needed, shielding manual intervention completely causes
State estimation defect.Equipment state assessment combination historical metrology data and real-time measurement data based on clustering algorithm are gathered
Class, it can really reflect the immediate status of evaluated equipment.To the state at equipment each moment in a manner of software replacement is artificial
Clustered, and analysis and assessment are carried out to equipment state according to cluster result, the efficient judgement of unit exception state can be realized.
In actual moving process, due to device attribute, operating condition, environment difference, for the status monitoring of equipment
Dependency relation between parameter is difficult to accurate, unified function representation.Such as hot-spot temperature of transformer and bottom oil temperature, top layer oil
The relation of the parameters such as temperature, environment temperature, load is mainly provided by equation of heat balance, and equation of heat balance parameter is numerous and in height
Warm accounting often is not calculated accurately, so as to cause hot(test)-spot temperature to be difficult to detect extremely.The problem of for multidimensional Parameter Fusion, by based on
The clustering algorithm of density clusters to the online monitoring data of multidimensional, can make full use of the big spy of online monitoring data amount
Point, and can simplify the complicated dependency relation between each parameter.Such as certain 500kV main transformer, a large amount of history are monitored on-line and joined
Number clusters as multiple N-dimensional arrays, its corresponding all kinds of metric data of each time point, such as three-phase oil temperature, measuring temperature of three-phase winding
Deng being used as an array.If array is both greater than some particular value R to the distance of any cluster central point, then it is assumed that the array is not belonging to
Any one cluster.Therefore, when exception occurs in the value of some parameter and causes Multidimensional numerical Z to be not belonging to any one cluster.Can
Multidimensional data to judge the moment occurs abnormal.
Fig. 4 shows a kind of structural representation of the control device for electric power dispatching system that one embodiment of the invention provides.
As shown in figure 4, the described device that the present embodiment provides includes：First acquisition module, evaluation module and display module.Wherein,
One acquisition module, for obtaining the monitoring parameters at equipment each moment, the monitoring parameters include：The operation shape of power network where equipment
One or more in state parameter, equipment running status parameter, equipment operating environment parameter；Evaluation module, for described each
The monitoring parameters at moment carry out Cluster Evaluation, to obtain working state evaluation result；Display module, for by the working condition
Assessment result is shown in pop-up window corresponding to the equipment.
Technical scheme provided in an embodiment of the present invention, by obtaining the monitoring parameters at equipment each moment, then to described each
The monitoring parameters at moment carry out Cluster Evaluation to obtain working state evaluation result, realize that the real-time monitoring parameters of equipment lack with equipment
Fall into, the associated application of warning information etc., improve monitoring of tools operating analysis and ability that equipment is controlled automatically.
Further, the equipment is multiple.Accordingly, the described device that above-described embodiment provides also includes：Filter module
Block.The filtering module is used to filter the working state evaluation result of multiple equipment；The display module be additionally operable to by
Meet that the working state evaluation result of the equipment of filter condition is shown in its each self-corresponding pop-up window.
Further, the described device that above-described embodiment provides may also include：Reaction module and analysis module.Wherein, instead
The Monitoring Data that module is used for the moment each in history according to the equipment is drilled, is carried out using default accident inversion simulation algorithm
Simulation is recurred.Analysis module is used to analyze simulation palingenetic process, to draw device fault information.
Further, the described device that above-described embodiment provides may also include：Establish module and processing module.Wherein, build
Formwork erection block, for according to device structure, establishing Fault tree, including in the Fault tree and form the more of tree
Level event；Processing module, for using fault model probability calculation model and probability of malfunction computation model, lacked using device history
The sunken probability of malfunction for recording the events at different levels in the Fault tree that calculate.
Further, the described device that above-described embodiment provides may also include：Second acquisition module and correcting module.Its
In, the second acquisition module, for obtaining and the device-dependent sample data；The processing module, it is additionally operable to the sample
Notebook data carries out Least Square in Processing, and the structure of the equipment and described is calculated using analytic hierarchy process (AHP) evaluation model
Fault mode importance；Correcting module, for the structure according to the equipment and the fault mode importance, to the equipment
Probability of malfunction is modified.
Need exist for explanation be：The described device provided using the present embodiment can realize the said equipment Working Status Monitoring
Method, specific implementation process and principle can be found in the corresponding contents in above-described embodiment, and here is omitted.
Device embodiment described above is only schematical, wherein the unit illustrated as separating component can
To be or may not be physically separate, it can be as the part that unit is shown or may not be physics list
Member, you can with positioned at a place, or can also be distributed on multiple NEs.It can be selected according to the actual needs
In some or all of module realize the purpose of this embodiment scheme.Those of ordinary skill in the art are not paying creativeness
Work in the case of, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
Realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on
The part that technical scheme substantially in other words contributes to prior art is stated to embody in the form of software product, should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including some fingers
Make to cause a computer equipment（Can be personal computer, server, or network equipment etc.）Perform each implementation
Method described in some parts of example or embodiment.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those within the art that：It still may be used
To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic；
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (10)
- A kind of 1. control method of electric power dispatching system, it is characterised in that including：The monitoring parameters at equipment each moment are obtained, the monitoring parameters include：The running state parameter of power network, equipment where equipment One or more in running state parameter, equipment operating environment parameter；Cluster Evaluation is carried out to the monitoring parameters at each moment, to obtain working state evaluation result；The working state evaluation result is included in pop-up window corresponding to the equipment.
- 2. according to the method for claim 1, it is characterised in that the equipment is multiple；AndMethods described, in addition to：The working state evaluation result of multiple equipment is filtered；The working state evaluation result of the equipment of filter condition, which will be met, to be included in its each self-corresponding pop-up window.
- 3. method according to claim 1 or 2, it is characterised in that also include：According to the Monitoring Data at the moment each in history of the equipment, simulation weight is carried out using default accident inversion simulation algorithm Drill；Simulation palingenetic process is analyzed, to draw device fault information.
- 4. method according to claim 1 or 2, it is characterised in that also include：According to device structure, Fault tree is established, the multistage event for forming tree is included in the Fault tree；Using fault model probability calculation model and probability of malfunction computation model, calculated using device history defect record described The probability of malfunction of events at different levels in Fault tree.
- 5. according to the method for claim 4, it is characterised in that also include：Obtain and the device-dependent sample data；Least Square in Processing is carried out to the sample data, and the equipment is calculated using analytic hierarchy process (AHP) evaluation model Structure and the fault mode importance；According to the structure of the equipment and the fault mode importance, the probability of equipment failure is modified.
- A kind of 6. control device of electric power dispatching system, it is characterised in that including：First acquisition module, for obtaining the monitoring parameters at equipment each moment, the monitoring parameters include：Power network where equipment One or more in running state parameter, equipment running status parameter, equipment operating environment parameter；Evaluation module, for carrying out Cluster Evaluation to the monitoring parameters at each moment, to obtain working state evaluation result；Display module, for the working state evaluation result to be included in pop-up window corresponding to the equipment.
- 7. device according to claim 6, it is characterised in that the equipment is multiple；AndDescribed device, in addition to：Filtering module, for being filtered to the working state evaluation result of multiple equipment；The display module, it is additionally operable to include each corresponding at it by the working state evaluation result for meeting the equipment of filter condition Pop-up window in.
- 8. the device according to claim 6 or 7, it is characterised in that also include：Inverting module, for the Monitoring Data at the moment each in history according to the equipment, simulated using default accident inversion Algorithm carries out simulation recurrence；Analysis module, for analyzing simulation palingenetic process, to draw device fault information.
- 9. the device according to claim 6 or 7, it is characterised in that also include：Module is established, for according to device structure, establishing Fault tree, including in the Fault tree and form tree-shaped knot The multistage event of structure；Processing module, for using fault model probability calculation model and probability of malfunction computation model, utilize device history defect Record calculates the probability of malfunction of events at different levels in the Fault tree.
- 10. device according to claim 9, it is characterised in that also include：Second acquisition module, for obtaining and the device-dependent sample data；The processing module, it is additionally operable to carry out the sample data Least Square in Processing, and is evaluated using analytic hierarchy process (AHP) The structure of the equipment and the fault mode importance is calculated in model；Correcting module, for the structure according to the equipment and the fault mode importance, the probability of equipment failure is entered Row amendment.
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Application publication date: 20171114 |