CN106571627A - Secondary device health state evaluation method based on on-line monitoring information - Google Patents
Secondary device health state evaluation method based on on-line monitoring information Download PDFInfo
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- CN106571627A CN106571627A CN201610890611.7A CN201610890611A CN106571627A CN 106571627 A CN106571627 A CN 106571627A CN 201610890611 A CN201610890611 A CN 201610890611A CN 106571627 A CN106571627 A CN 106571627A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The purpose of the invention is to provide a secondary device health state evaluation method based on on-line monitoring information. The method comprises the following steps: (1) establishing monitoring state quantity models for different types of secondary devices, and setting different alarm levels and thresholds for the monitoring state quantity models based on the importance degrees of respective monitoring state quantities, (2) online acquiring the monitoring state quantity information of the secondary devices in real time and determining the alarm level and the state quantity score of each monitoring state quantity according to the alarm levels and thresholds set in the monitoring state quantity models; (3) using the alarm level of the most severe monitoring state quantity as the real-time health state of the secondary device, and performing scoring by using a secondary device health state evaluation algorithm provided in the present invention; and (4) correcting the health state and the score of the secondary device according to the age of the secondary device. The method provides a health states evaluation model based on real-time factor data. The evaluation model can calculate the health state of the device directly according to the real-time factor information and adopts the evaluation algorithm to obtain the health state and the corresponding score of the device.
Description
Technical field
The present invention relates to electric grid secondary equipment safety control technology field, relates in particular to a kind of based on on-line monitoring letter
The secondary equipment health state evaluation methodology of breath.
Background technology
Secondary device state evaluation is to ensure power grid security, economical operation, carries out the basis of repair based on condition of component, and its core is to build
Found rational equipment state evaluation model.Based on equipment state evaluation result, a series of equipment of situations that gear to actual circumstances can be formulated
Strategies of Maintenance, finally realizes the target of power grid security, economical operation, can save large number quipments maintenance cost and resource, and energy
Equipment reliability of operation is effectively improved, great economic advantages is embodied, thus is subject to numerous electric power enterprises and research institution
Attention.The at present both at home and abroad development of grid equipment state evaluation mainly for primary equipment, secondary device assessment referring especially to
The corresponding code of primary equipment, its adaptability and specific aim have to be strengthened.The present invention establishes a set of secondary device health shape
State assessment indicator system and model, and overall merit is carried out to its state using scientific evaluation method, so as to formulate rational shape
State Strategies of Maintenance so as to synchronous with primary equipment holding, adapts to power system development and requires.
Research and application at present to status monitoring is concentrated mainly on power system primary equipment, to power system secondary returning
The research and application on road is also in desk study and developmental stage.And secondary loop in power system includes：For cutting off failure
Relay protection system, the observing and controlling/telecontrol system for controlling to electric grid operating, SCADA system, for the fault rate of accident analysiss
Record ripple, fault location device, for the metering system of economic balance.These secondary devices decide that can electrical network safe and reliable be transported
Row, electrical network high efficiency operation and management.First and second equipment of electric power is to be connected closely, indispensable, if power system is secondary
The development of the maintenance model and primary equipment in loop is asynchronous, unbalanced, the short slab that secondary circuit can be caused to overhaul, to power train
System causes huge potential safety hazard.Therefore, research to the repair based on condition of component of secondary loop in power system is necessary, have very much engineering
Application value.
In the actual motion management of power system, the unified periodic inspection in the whole nation is carried out in China's secondary device maintenance always
System, is run for reasonably organization arrangement's secondary device, it is ensured that the safe and stable operation of system serves product to a certain extent
Pole acts on, but there is also some shortcomings：On the one hand, with the development of technology, various digital secondary devices more and more widely should
For, in power system, the probability of its malfunction and tripping can be substantially reduced, therefore its time between overhauls(TBO) and strategy should be with traditional guarantors
Protection unit has bigger difference；On the other hand, the experience of staff is all based on originally to the secondary formulation for setting Strategies of Maintenance, is lacked
, inevitably there is maintenance surplus in weary theoretical direction or maintenance is not enough.Therefore, repair based on condition of component is that electric power apparatus examination system is sent out
The inevitable choice of secondary device maintenance mode in exhibition process.
Secondary device state evaluation is to ensure power grid security, economical operation, carries out the basis of repair based on condition of component, and its core is to build
Found rational equipment state evaluation model.Based on equipment state evaluation result, a series of equipment of situations that gear to actual circumstances can be formulated
Strategies of Maintenance, finally realizes the target of power grid security, economical operation, can save large number quipments maintenance cost and resource, and energy
Effectively improve equipment reliability of operation.But as the development of domestic and international grid equipment state evaluation is mainly for primary equipment,
Secondary device assesses the corresponding code referring especially to primary equipment, and its adaptability and specific aim have to be strengthened.In order to ensure
To instant, accurate device state, in the urgent need to systematic study being carried out for secondary device state evaluation, set up a set of secondary device
State evaluation index system and model, and overall merit is carried out to its state using scientific evaluation method, it is rational so as to formulate
Repair based on condition of component strategy so as to synchronous with primary equipment holding, adapts to power system development and requires.
The content of the invention
It is an object of the invention to provide a kind of secondary equipment health state evaluation methodology based on on-line monitoring information, bag
Include following steps：
(1) monitoring state amount model is set up for different types of secondary device, according to the important of each monitoring state amount
Degree is different, is the different alarm grade of its setting and threshold value.
(2) the monitoring state amount information of online real time collecting secondary device, according to the announcement set in monitoring state amount model
Alert grade and threshold value, judge the alarm level and quantity of state scoring of each monitoring state amount.
(3) the alarm grade of the monitoring state amount of most serious and is adopted as the real time health state of the secondary device
The present invention proposes that secondary equipment health state evaluation algorithms are scored.
(4) equipment health status and scoring are modified according to the equipment enlistment age.
Present invention contrast prior art, has the following advantages：
The present invention proposes the health state evaluation model based on real-time factor data, and the assessment models can direct basis
The health status of equipment are calculated by factor information situation in real time, obtain the health of equipment using a kind of assessment computational methods
State and phase reserved portion.The model is secondary equipment health state to be carried out based on secondary device real time execution monitoring information first
Evaluate, the methods of marking that the model is proposed defines a set of computing formula, the people that conventional marking mode evaluation can be avoided to bring
For impact of the subjectivity to evaluation result, the formulation to on-bne repair strategy provides foundation.
Description of the drawings
Fig. 1 equipment health condition judging schematic diagrams；
Fig. 2 secondary device typical life curves.
Specific embodiment
The present invention is further described below in conjunction with the accompanying drawings.
It is an object of the invention to provide a kind of secondary equipment health state evaluation methodology based on on-line monitoring information, bag
Include herein below：
(1) monitoring state amount model is set up for different types of secondary device, according to the important of each monitoring state amount
Degree is different, is the different alarm grade of its setting and threshold value.
(2) the monitoring state amount information of online real time collecting secondary device, according to the announcement set in monitoring state amount model
Alert grade and threshold value, judge the alarm level and quantity of state scoring of each monitoring state amount.
(3) the alarm grade of the monitoring state amount of most serious and is adopted as the real time health state of the secondary device
The present invention proposes that secondary equipment health state evaluation algorithms are scored.
(4) equipment health status and scoring are modified according to the equipment enlistment age.
The concrete steps of the secondary equipment health state evaluation methodology based on on-line monitoring information of the present invention include：
(1) secondary device monitoring state amount information table is set up, monitoring state amount model is constituted.It is embodied as：
The station equipment MODEL C IM file that transformer station provides is received, comprising all secondary devices in transformer station in file
Monitoring state amount title that Back ground Information and equipment are included, monitoring state amount type, monitoring state amount importance degree rank and
Threshold value.Table 1 so that certain circuit is surveyed and protects integrated device as an example, row write state information model：
Table 1
| Numbering | Quantity of state title | Quantity of state type | Importance degree rank |
| 1 | Device parameter is wrong | Switching value | Seriously |
| 2 | ROM and verification are wrong | Switching value | Seriously |
| 3 | Definite value is wrong | Switching value | Seriously |
| 4 | Definite value area pointer is wrong | Switching value | It is abnormal |
| 5 | SRAM self-inspection exceptions | Switching value | It is abnormal |
| 6 | FLASH self-inspection exceptions | Switching value | It is abnormal |
| 7 | Soft pressing plate is wrong | Switching value | It is abnormal |
| 8 | Output exception | Switching value | Note |
| 9 | Open into exception | Switching value | Note |
| 10 | Output communicating interrupt | Switching value | Note |
| 11 | Open into puncturing | Switching value | Note |
| 12 | Open abnormal into input | Switching value | Note |
| 13 | Two-position input is inconsistent | Switching value | Note |
| 14 | Open and malfunction into self-inspection loop | Switching value | Note |
| 15 | Open and malfunction into EEPROM | Switching value | Note |
| 16 | Output EEPROM errors | Switching value | Note |
| 17 | Open wrong into configuration | Switching value | Note |
| 18 | Output configuration wrong | Switching value | Note |
| 19 | System configuration is wrong | Switching value | Note |
| 20 | SV board communications interrupt | Switching value | It is abnormal |
| 21 | Luminous power exception | Switching value | Note |
| 22 | Device * voltages | Analog quantity | - |
| 23 | Internal crystal oscillator deviation | Analog quantity | - |
| 24 | Host CPU rate of load condensate | Analog quantity | - |
(2) the monitoring state amount information of online real time collecting secondary device, according to the weight set in monitoring state amount model
Rank to be spent and threshold value, judge the alarm level and quantity of state scoring of each monitoring state amount.
Analog quantity and switching value are divided into secondary device quantity of state according to quantity of state classification, to two category informations to equipment state
Decision condition is different, and switching value only has 0,1 two states, only need to can determine that the state according to equipment state amount importance degree rank
The health status of amount, and equipment simulating amount information needs to determine its health according to the size of data of quantity of state threshold value and real-time reception
State and quantity of state scoring, evaluation methodology are as shown in Figure 1.
(2.1) analog quantity scoring
For the equipment simulating amount information for collecting, sampled value each time is all judged as follows, specifically
Scoring step be：
1. the quantity of state threshold value is inquired about in data base, threshold value includes：Note threshold value and outlier threshold and severe threshold；
2. equipment state amount sampled value is compared with quantity of state threshold value, the threshold zone according to residing for quantity of state sampled value
Between decision state amount state；
3. status information score is calculated, concrete calculating process is as follows：
2 equipment state determination methods of table
Status information of equipment basic score SAFor
3 health status basic score of table
| Health status | Normally | Note | It is abnormal | Seriously |
| State basic score | 100 | 90 | 80 | 70 |
When analog quantity sampled value is in a certain threshold interval in table 2, the analog quantity state is determined by table 2, its basis
Divide and determined by table 3, then sampled value is substituted in the formula of table 4, the evaluation score of analog quantity can be calculated.
4 analog quantity status information score computation method of table
miRepresent i state thresholds, mjJ state thresholds are represented, each state threshold may have upper and lower two threshold intervals, mx
Status information monitor value or more limitation meansigma methodss or more heat input value are represented, S represents the final score of the status information, SARepresent
The basic score of the status information.
(2.2) switching value scoring
The process model of switching value information is fairly simple, and its state is 0,1 saltus step, therefore can only be many from the alarm amount of information
Less distinguishing.When state is 0, the switching value belongs to normal condition；When state is 1, the state of the switching value is monitoring shape
The importance degree rank configured in state amount information table.
(3) determine the real time health state of secondary device, calculate secondary equipment health state score.
After processing to each quantity of information in step (2), it is possible to obtain all monitor analogue quantities of certain secondary device
The state of state, scoring and monitoring switch amount.State menace level is divided into from high to low：
Seriously>It is abnormal>Note>Normally
It is serious etc. that secondary equipment health state takes state in all monitoring state amounts of the equipment (include analog quantity, switching value)
Level highest quantity of state.
Secondary equipment health state appraisal result is made up of two parts, basis point of the part for equipment state, another
Partial is divided into total score, is determined by the state status of equipment various information jointly.Health status must be divided into secondary device base
Plinth point and total score are together decided on.
(3.1) equipment state basis point
The basis of equipment state point SAObtained from table 2 according to secondary equipment health state grade.
(3.2) equipment state comprehensive point
Equipment state comprehensive is divided into two parts and considers that a part is with Status Level information with equipment status
Comprehensive grading, another part are the comprehensive grading of other class informations.
5 secondary device state parameter of table is defined
It is as shown in the table, and secondary device information state amount importance degree is i, and the value of i see the table below with represented state, ni,
Represent that digital quantity crosses the information sum of i threshold values, mi represents the sum in amount of logic for i category informations, and digital parameter has ki1It is individual super
Severe threshold is crossed, amount of logic has ki2Individual serious information alert, βiFor weighing during overall merit, the weight shared by digital information,
αiFor weighing during overall merit, the weight shared by logical message, rank are higher, and weighted value is bigger.
ki1=ni, ki2≤mi, β1＞ β2＞ β3＞ β4, α1＞ α2＞ α3＞ α4
State is i, and state is corresponded to,
6 information type of table and importance degree respective value
| Information type | Normally | Note | It is abnormal | Seriously |
| Importance degree i | 4 | 3 | 2 | 1 |
1. secondary device is set under i states, digital parameter has ki1It is individual more than severe threshold, amount of logic has ki2Individual serious letter
Breath alarm, meter
2. secondary device information alert and the digital quantity more than threshold value are only considered, score coefficient is：
3. total score coefficient
In formula,For weighing the impact of amount of logic,For weighing the impact of digital quantity, yiTable
Show the score of digital information.
(3.3) equipment PTS
Equipment is in severe conditions
S=SA·SZ (5)
Other states
S=SA-10(1-SZ) (6)
(4) equipment health status and scoring are modified according to the equipment enlistment age.
It is due to stress fatigue and the reason such as heat exhaustion, circuit aging, tired after secondary equipment health state and equipment operation
Meter run time (enlistment age) has much relations.The important indicator that consersion unit health status are developed is fault rate.It is most of electric
Equipment failure rate is classical tub curve with the curve that the enlistment age changes, and is roughly divided into early fault period, chance failure period, and
In 3 stages of loss failure period, scrap up to final period in life-span.Check more before being dispatched from the factory due to secondary device relative to electrical primary equipment
Strictly, installment work is relatively simple, put into operation before debugging, burn-in than more convenient, fully, general its early fault period is not obvious.In idol
It is constant (at basin bottom) to send out age at failure equipment failure rate, and will be changed along basin side in ageing equipment phase equipment failure rate, such as Fig. 2
It is shown.In figure, λ is equipment failure rate, and Ta is equipment projected life.
Therefore, in evaluating to secondary equipment health state, it is necessary to the impact of meter and equipment enlistment age factor.This project is locating
In chance failure period equipment be normal condition, it is aforementioned based on history factor, real-time factor, environment factor state evaluation base
On plinth, the state evaluation decreasing model based on the enlistment age is set up according to secondary device typical life feature：
The actual enlistment age of taking equipment：
ta=max (t1/T1,t2/T2,...,tn/Tn)
Wherein, t1,t2,...,tnFor the actual year enlistment age value of each main composition plate of equipment, T1,T2,...,TnFor each
The projected life of plate, can generally set T1=T2=...=Tn=Ta, then finally scoring is equipment health status：
Sta=S-Cta (7)
Wherein S represents the appraisal result for not considering the equipment enlistment age, Cta
So, the equipment enlistment age less than its projected life 80% before, do not consider its impact to equipment health status, its
Afterwards with the increase of enlistment age, its impact to equipment state gradually increases, and when reaching projected life, equipment state will reduce by one
Level, when reaching 1.2 times of projected lives, equipment state will reduce two-stage.
Embodiments of the present invention not limited to this, under the premise of above-mentioned basic fundamental thought of the invention, according to this area
Modification, replacement or the change of ordinary technical knowledge and customary means other various ways made to present invention, all falls within
Within rights protection scope of the present invention.
Claims (6)
1. a kind of secondary equipment health state evaluation methodology based on on-line monitoring information, it is characterised in that including herein below：
(1) monitoring state amount model is set up for different types of secondary device, according to the significance level of each monitoring state amount
Difference, is the different alarm grade of its setting and threshold value；
(2) the monitoring state amount information of online real time collecting secondary device, according to alarm set in monitoring state amount model etc.
Level and threshold value, judge the alarm level and quantity of state scoring of each monitoring state amount；
(3) using the alarm grade of the monitoring state amount of most serious as the secondary device real time health state, and adopt this
Bright proposition secondary equipment health state evaluation algorithms are scored；
(4) equipment health status and scoring are modified according to the equipment enlistment age.
2. system of selection according to claim 1, it is characterised in that：The step (1) is by setting up secondary device prison
State information table is surveyed, detection quantity of state model is constituted, is embodied as：Receive station equipment MODEL C IM that transformer station provides
File, monitoring state amount title that the Back ground Information and equipment comprising all secondary devices in transformer station in file is included,
Monitoring state amount type, monitoring state amount importance degree rank and threshold value.
3. system of selection according to claim 1, it is characterised in that：According to quantity of state classification to secondary device quantity of state point
For analog quantity and switching value, different to equipment state decision condition to two category informations, switching value only has 0,1 two states, only needs
The health status of the quantity of state can determine that according to equipment state amount importance degree rank, and equipment simulating amount information is needed according to shape
The size of data of state amount threshold value and real-time reception determines its health status and quantity of state scoring.
4. system of selection according to claim 1, it is characterised in that：The quantity of state scoring includes analog quantity scoring and opens
Pass amount scoring.
5. system of selection according to claim 4, it is characterised in that：The analog quantity scoring is specially：
1. the quantity of state threshold value is inquired about in data base, threshold value includes：Note threshold value and outlier threshold and severe threshold；
2. equipment state amount sampled value is compared with quantity of state threshold value, the threshold interval according to residing for quantity of state sampled value is sentenced
Determine the state of quantity of state；
3. calculate status information score.
6. system of selection according to claim 4, it is characterised in that：The switching value scoring includes following content：Work as shape
When state is 0, the switching value belongs to normal condition；When state is 1, the state of the switching value is to match somebody with somebody in monitoring state amount information table
The importance degree rank put.
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| CN108462252A (en) * | 2018-01-31 | 2018-08-28 | 国网安徽省电力有限公司 | Intelligent substation secondary loop state appraisal procedure based on physical quantity logical mappings |
| CN109443512A (en) * | 2018-11-28 | 2019-03-08 | 西安航天三沃机电设备有限责任公司 | A kind of health status evaluation method of highway weight detecting system |
| CN111289812A (en) * | 2018-12-07 | 2020-06-16 | 国网浙江省电力有限公司 | Power transmission and transformation equipment state monitoring and management method and system |
| WO2021093715A1 (en) * | 2019-11-13 | 2021-05-20 | 中兴通讯股份有限公司 | Performance index health monitoring method, device and apparatus, and storage medium |
| CN113435689A (en) * | 2021-05-14 | 2021-09-24 | 北京四方继保工程技术有限公司 | Labeled multi-bin modeling automation equipment state evaluation method and system |
| CN115730923A (en) * | 2022-11-22 | 2023-03-03 | 北京思维实创科技有限公司 | Escalator system intelligent protection method and system, storage medium and electronic equipment |
| CN116228206A (en) * | 2023-04-25 | 2023-06-06 | 宏景科技股份有限公司 | Data center operation and maintenance management method and device, electronic equipment and operation and maintenance management system |
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| CN115730923A (en) * | 2022-11-22 | 2023-03-03 | 北京思维实创科技有限公司 | Escalator system intelligent protection method and system, storage medium and electronic equipment |
| CN116228206A (en) * | 2023-04-25 | 2023-06-06 | 宏景科技股份有限公司 | Data center operation and maintenance management method and device, electronic equipment and operation and maintenance management system |
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Application publication date: 20170419 |