CN108335044A - A kind of power transmission and transformation equipment state evaluation method - Google Patents
A kind of power transmission and transformation equipment state evaluation method Download PDFInfo
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Abstract
The present invention relates to a kind of power transmission and transformation equipment state evaluation method, technical characteristics are：The structure power transmission and transformation equipment state assessment that links together of power transmission and transformation equipment state assessment system and based data service platform is associated with big data system；Power transmission and transformation equipment state assessment system acquires power transmission and transforming equipment data by based data service platform and carries out data mining；Power transmission and transformation equipment state assessment and power transmission and transforming equipment operation risk assessment are carried out based on big data analysis.Reasonable design of the present invention, the present invention is by building power transmission and transformation equipment state assessment association big data system, and power transmission and transformation equipment state and power transmission and transforming equipment operation risk are assessed based on big data analysis, it solves the problems, such as that existing method for evaluating state cannot effectively reflect power transmission and transforming equipment operating status and operation risk comprehensively, strong basis is provided for application of the big data technology in terms of power transmission and transformation equipment state assessment and risk assessment.
Description
Technical field
The invention belongs to power transmission and transforming equipment technical field, especially a kind of power transmission and transformation equipment state evaluation method.
Background technology
Power transmission and transforming equipment is the important equipment in electric system, is played an important role for the normal operation of electric system.
If effectively carrying out effectively assessment to power transmission and transformation equipment state to pinpoint the problems, it is ensured that the normal operation of electric system.
Standing state evaluation method cannot effectively reflect equipment state comprehensively, on the one hand, the element in standing state appraisement system only limits
In the equipment components status information such as defect, experimental data, bad condition, fail to reflect that the information content of equipment state is all included in
Appraisement system；On the other hand, standing state evaluation method is that the power of various situations is arranged according to expert estimation using decision tree
Weight and deduction of points amount, to which synthesis obtains the whether normal state of the equipment, attention, abnormal etc..Therefore, existing state evaluation side
Method cannot effectively reflect power transmission and transforming equipment operating status and operation risk comprehensively.
Invention content
It is an object of the invention to overcome the deficiencies in the prior art, propose a kind of reasonable design, comprehensively and effectively power transmission and transformation
Equipment state evaluation method.
The present invention solves its technical problem and following technical scheme is taken to realize：
A kind of power transmission and transformation equipment state evaluation method, includes the following steps：
Step 1, link together power transmission and transformation equipment state assessment system and based data service platform structure power transmission and transformation
Equipment state assessment is associated with big data system；
Step 2, power transmission and transformation equipment state assessment system acquire power transmission and transforming equipment data simultaneously by based data service platform
Carry out data mining；
Step 3 carries out power transmission and transformation equipment state assessment and power transmission and transforming equipment operation risk assessment based on big data analysis.
Further, the based data service platform includes data service layer, data mart modeling layer and application adaptation layer, defeated change
Electric equipment status assessing system and the data service layer of based data service platform carry out data interaction, based data service platform
Application adaptation layer the acquisitions of data, application adaptation layer are carried out to the operation forecast system of power grid, history run and man-machine interface
The data of acquisition are supplied to each data service component of data service layer, power transmission and transformation equipment state after the processing of data mart modeling layer
Assessment system is acquired the data of acquisition, analyzes to realize the evaluation function of power transmission and transformation equipment state.
Further, the power transmission and transformation data include static data, real-time running data, history data and affair alarm
Data.
Further, the step 2 using the equipment state assessment big data mining analysis method of polynary various dimensions into line number
According to excavation.
Further, the step 3 power transmission and transforming equipment operation risk assessment includes equipment fault risk assessment and operation of power networks
Risk assessment.
Further, the equipment fault risk assessment uses failure risks of power transmission and transforming equipment i during repair based on condition of component
Expense Requip(i) economy quantization is assessed, and expression formula is：
Requip(i)=Li(pi(ki-1)+qi(n-ki-Ti+1))
In formula：LiIndicate the loss of power transmission and transforming equipment i failure costs；piIndicate events of the power transmission and transforming equipment i before repair based on condition of component
Hinder probability；KiIndicate the initial time of power transmission and transforming equipment i repairs based on condition of component；N is indicated during the entire repair based on condition of component of power transmission and transforming equipment
All periods；TiIndicate the when hop count needed for power transmission and transforming equipment i repairs based on condition of component；qiAfter indicating power transmission and transforming equipment i repairs based on condition of component
Probability of malfunction；
The power networks risk assessment lacks power supply figureofmerit L using expectationEENSIt is assessed, calculation formula is as follows：
In formula：NLIndicate the load level in power transmission and transforming equipment maintenance process；F is indicated in power transmission and transforming equipment maintenance process
In lead to the insufficient all malfunction set of power grid power supply reliability；Institute in power grid in H expression power transmission and transforming equipment maintenance processes
There is the set of normal device；H indicates the set of all faulty equipments in power grid in power transmission and transforming equipment maintenance process；LAPNS,q,rIt indicates
The active power supplied less to user when network load level is r in power transmission and transforming equipment maintenance process, malfunction is q lacks load
Amount；PLrIndicate the probability of happening that load level is r in power transmission and transforming equipment maintenance process；PqjAnd PqkPower transmission and transforming equipment is indicated respectively
Power grid is in the stoppage in transit probability of jth platform equipment and kth platform equipment fault under q states in maintenance process.
The advantages and positive effects of the present invention are：
The present invention is based on big data analysis to defeated change by building power transmission and transformation equipment state assessment association big data system
Electric equipment state and power transmission and transforming equipment operation risk are assessed, and solving existing method for evaluating state cannot be comprehensively effectively anti-
The problem of reflecting power transmission and transforming equipment operating status and operation risk is assessed in power transmission and transformation equipment state for big data technology and risk is commented
The application for estimating aspect provides strong basis.
Description of the drawings
Fig. 1 is the application system schematic diagram of the present invention；
Fig. 2 is the data processing relation schematic diagram of the present invention.
Specific implementation mode
The embodiment of the present invention is further described below in conjunction with attached drawing.
A kind of power transmission and transformation equipment state evaluation method, includes the following steps：
Step 1, link together power transmission and transformation equipment state assessment system and based data service platform structure power transmission and transformation
Equipment state assessment is associated with big data system.
As shown in Figure 1, the based data service platform of electric system includes following three-decker：Data service layer, data
Machined layer and application adaptation layer, the data service layer of power transmission and transformation equipment state assessment system and based data service platform is into line number
According to interaction, operation forecast system, history run and the man-machine interface etc. of the application adaptation layer of based data service platform to power grid
A variety of application systems carry out the acquisition of data, and the data of application adaptation layer acquisition are supplied to data to take after the processing of data mart modeling layer
Each data service component of business layer, power transmission and transformation equipment state assessment system are acquired the data of acquisition, analyze to real
The evaluation function of existing power transmission and transformation equipment state.
Step 2, power transmission and transformation equipment state assessment system acquire power transmission and transforming equipment data simultaneously by based data service platform
Carry out data mining.
It is analyzed as condition using the data source of polynary various dimensions in equipment state assessment big data mining analysis.Based on big
The bulk power grid equipment state assessment relationship of data technique is according to division, including static state with the renewal frequency of data and data source
Data, real-time running data, history data and affair alarm data etc..
Generally, it is considered that big data has the characteristics that " 5V "：Data volume, diversity, speed, value and authenticity.Big data
Data processing includes following five processes：(1) acquisition/record of data；(2) data extraction/removing/annotation；(3) data are whole
Close/integrated/description；(4) data analysis/model foundation；(5) model and phenomenon are illustrated.
Equipment state assessment big data method for digging is as follows：
Excavation and the correlation analysis that data are carried out based on correlation rule, can effectively realize in power transmission and transforming equipment
Correlation between each middle mass data, so as to carry out the efficient combination etc. of multiple quantity of states according to analysis result.Big
Under data background, the structure diversification due to power transmission and transforming equipment measurement data result and complication, using traditional modeling method
Evaluation requirement can not be met by analyzing related data.In this context, the data depth association based on big data technology
Rule analysis becomes the concern for receiving researcher, and related algorithm also comes into being, such as the association rule mining based on Granule Computing is calculated
Method, the Apriori algorithm etc. based on condensation matrix.
The present invention may be implemented power transmission and transformation using the equipment state assessment big data mining analysis method of polynary various dimensions and set
Correlation between standby multi-state variable, i.e. quantity of state correlation.Mathematically, " the quantity of state degree of association " between state vector
It can be indicated with covariance matrix, i.e.,：If X=[x1,x2,...,xn], x1、x2、…、xnA respective state is indicated respectively
Vector, then " the quantity of state degree of association " may be defined as Ω=corr (X).
Step 3 carries out power transmission and transformation equipment state assessment and power transmission and transforming equipment operation risk assessment based on big data analysis.
In this step, the index system for establishing power transmission and transformation equipment state assessment passes through the index system of status assessment
It establishes and can be achieved to the validity of service work, the adaptability of Strategies of Maintenance, the realization degree of target, job performance etc. entirely
Face assess, with ensure each level target keep the shape, working stamndard it is unattenuated.
Power transmission and transforming equipment operation risk assessment based on big data analysis, including following two aspects：
(1) equipment fault risk assessment
In the state-detection process of power transmission and transforming equipment, the failure risk assessment of power transmission and transforming equipment can be existed by the equipment
The whole service stage occur probability of malfunction be multiplied by breakdown loss and indicate.By theory analysis it is found that power transmission and transforming equipment is whole
The probability of malfunction that the different periods of a operation phase occur exists different.But from it is ideal it is equivalent in terms of from the point of view of, power transmission and transforming equipment
Time between overhauls(TBO) it is shorter for the equipment whole service period, therefore power transmission and transforming equipment can be considered as in calculating process
Probability of malfunction is constant.And the corresponding probability of malfunction that should timely update after maintenance terminates.
Failure risk expense Rs of power transmission and transforming equipment i during repair based on condition of componentequip(i) economy quantitative expression formula is：
Requip(i)=Li(pi(ki-1)+qi(n-ki-Ti+1)) (1)
In formula：LiIndicate the loss of power transmission and transforming equipment i failure costs；piIndicate events of the power transmission and transforming equipment i before repair based on condition of component
Hinder probability；KiIndicate the initial time of power transmission and transforming equipment i repairs based on condition of component；N is indicated during the entire repair based on condition of component of power transmission and transforming equipment
All periods；TiIndicate the when hop count needed for power transmission and transforming equipment i repairs based on condition of component；qiAfter indicating power transmission and transforming equipment i repairs based on condition of component
Probability of malfunction.
(2) power networks risk is assessed
During power transmission and transforming equipment overhauls, the security risk of power grid power supply increases.In the process, in system
Random changing factor, for example, in power grid other equipment failure randomness etc., the operation of power grid is had a huge impact.Cause
This needs to carry out N-1 to system to ensure the reliability of operation of power networks and safety during power transmission and transforming equipment overhauls
Synthesis general overhaul under mode, and power grid power supply reliability during power transmission and transforming equipment overhauls can be used and it is expected to lack power supply
Describe to amount (EENS) index quantification.It is expected that lack power supply volume (EENS) index be by comprehensive power transmission and transforming equipment failure probability and
Failure consequence reflects the risk indicator of power grid power supply reliability.It is expected that lacking power supply volume (EENS) index LEENSCalculation formula such as
Under：
In formula：NLIndicate the load level in power transmission and transforming equipment maintenance process；F is indicated in power transmission and transforming equipment maintenance process
In lead to the insufficient all malfunction set of power grid power supply reliability；Institute in power grid in H expression power transmission and transforming equipment maintenance processes
There is the set of normal device；H indicates the set of all faulty equipments in power grid in power transmission and transforming equipment maintenance process；LAPNS,q,rIt indicates
The active power supplied less to user when network load level is r in power transmission and transforming equipment maintenance process, malfunction is q lacks load
Amount；PLrIndicate the probability of happening that load level is r in power transmission and transforming equipment maintenance process；PqjAnd PqkPower transmission and transforming equipment is indicated respectively
Power grid is in the stoppage in transit probability of jth platform equipment and kth platform equipment fault (or maintenance) under q states in maintenance process.
Power transmission and transformation equipment state evaluation based on big data technology, the system overall framework of risk assessment are as shown in Figure 2.It builds
The power transmission and transformation equipment state of the big data that is based on technology is assessed and the quantitatively evaluating index of risk assessment is to belong to decision support system
System scope.The system be based on external system provide initial data, by continuous adaptive system make rapid progress evaluation index and
Advanced appraisal procedure realizes power transmission and transformation equipment state assessment and risk assessment simultaneously, which should also examine with various intelligence
It surveys module to be combined, forms unified communication port to realize the shared of data.
It is emphasized that embodiment of the present invention is illustrative, without being restrictive, therefore packet of the present invention
Include the embodiment being not limited to described in specific implementation mode, it is every by those skilled in the art according to the technique and scheme of the present invention
The other embodiment obtained, also belongs to the scope of protection of the invention.
Claims (6)
1. a kind of power transmission and transformation equipment state evaluation method, it is characterised in that include the following steps：
Step 1, link together power transmission and transformation equipment state assessment system and based data service platform structure power transmission and transforming equipment
Status assessment is associated with big data system；
Step 2, power transmission and transformation equipment state assessment system acquire power transmission and transforming equipment data by based data service platform and carry out
Data mining；
Step 3 carries out power transmission and transformation equipment state assessment and power transmission and transforming equipment operation risk assessment based on big data analysis.
2. a kind of power transmission and transformation equipment state evaluation method according to claim 1, it is characterised in that：The basic data clothes
Business platform includes data service layer, data mart modeling layer and application adaptation layer, power transmission and transformation equipment state assessment system and basic data
The data service layer of service platform carries out data interaction, and the application adaptation layer of based data service platform forecasts the operation of power grid
System, history run and man-machine interface carry out the acquisition of data, and the data of application adaptation layer acquisition are after the processing of data mart modeling layer
It is supplied to each data service component of data service layer, power transmission and transformation equipment state assessment system to adopt the data of acquisition
Collection is analyzed to realize the evaluation function of power transmission and transformation equipment state.
3. a kind of power transmission and transformation equipment state evaluation method according to claim 1, it is characterised in that：The power transmission and transformation data
Including static data, real-time running data, history data and affair alarm data.
4. a kind of power transmission and transformation equipment state evaluation method according to claim 1, it is characterised in that：The step 2 uses
The equipment state assessment big data mining analysis method of polynary various dimensions carries out data mining.
5. a kind of power transmission and transformation equipment state evaluation method according to claim 1, it is characterised in that：The defeated change of step 3
Electric equipment operation risk assessment includes equipment fault risk assessment and power networks risk assessment.
6. a kind of power transmission and transformation equipment state evaluation method according to claim 5, it is characterised in that：The equipment fault wind
Danger assessment uses failure risk expense Rs of power transmission and transforming equipment i during repair based on condition of componentequip(i) economy quantization is commented
Estimate, expression formula is：
Requip(i)=Li(pi(ki-1)+qi(n-ki-Ti+1))
In formula：LiIndicate the loss of power transmission and transforming equipment i failure costs；piIndicate that failures of the power transmission and transforming equipment i before repair based on condition of component is general
Rate；KiIndicate the initial time of power transmission and transforming equipment i repairs based on condition of component；N indicates the institute during the entire repair based on condition of component of power transmission and transforming equipment
There is the period；TiIndicate the when hop count needed for power transmission and transforming equipment i repairs based on condition of component；qiIndicate the failure after power transmission and transforming equipment i repairs based on condition of component
Probability；
The power networks risk assessment lacks power supply figureofmerit L using expectationEENSIt is assessed, calculation formula is as follows：
In formula：NLIndicate the load level in power transmission and transforming equipment maintenance process；F expressions are led in power transmission and transforming equipment maintenance process
Send a telegraph the insufficient all malfunction set of net power supply reliability；H indicate in power transmission and transforming equipment maintenance process in power grid it is all just
Standing standby set；H indicates the set of all faulty equipments in power grid in power transmission and transforming equipment maintenance process；LAPNS,q,rIndicate defeated change
The active power supplied less to user when network load level is r in electric equipment maintenance process, malfunction is q lacks load；PLr
Indicate the probability of happening that load level is r in power transmission and transforming equipment maintenance process；PqjAnd PqkIndicate that power transmission and transforming equipment overhauled respectively
Power grid is in the stoppage in transit probability of jth platform equipment and kth platform equipment fault under q states in journey.
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| CN111062633A (en) * | 2019-12-24 | 2020-04-24 | 广东电网有限责任公司 | Power transmission and transformation line and equipment state evaluation system based on multi-source heterogeneous data |
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