CN104111988A - Building method of alarm reasoning knowledge base of intelligent transformer substation - Google Patents
Building method of alarm reasoning knowledge base of intelligent transformer substation Download PDFInfo
- Publication number
- CN104111988A CN104111988A CN201410311718.2A CN201410311718A CN104111988A CN 104111988 A CN104111988 A CN 104111988A CN 201410311718 A CN201410311718 A CN 201410311718A CN 104111988 A CN104111988 A CN 104111988A
- Authority
- CN
- China
- Prior art keywords
- alarm
- reasoning
- relation
- knowledge
- intelligent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
Abstract
The invention discloses a building method of an alarm reasoning knowledge base of an intelligent transformer substation. The method comprises the following steps that (1), a protection logic diagram is built according to a matching relation between action signals generated by a protection device and a breaker respectively, the important grade of actions of the protection device, the relation between main protected devices related to the effective protection actions generated by the protection device, and the time sequence relation and time interval relation between the action signals; (2), an intelligent alarm knowledge object is built in an integrated alarm monitoring system, and the protection logic diagram obtained in the step (1) is converted to be the intelligent alarm reasoning knowledge base by adding a reasoning condition object and a reasoning rule object into the intelligent alarm knowledge object. By combining the time sequence relation and the time interval relation generated by the fault phenomenon, different fault reasons finally generating multiple same fault phenomena are distinguished, and the reliability of the fault reasons obtained by reasoning analysis is improved greatly.
Description
Technical field
The present invention relates to intelligent substation field, be specifically related to a kind of construction method of alarm inferenctial knowledge storehouse of intelligent substation.
Background technology
State Grid Corporation of China clearly proposed to build " having informationization, robotization, interactive intelligent grid ", and unified intelligent grid was built up in plan comprehensively by 2020.Transformer station is the critical facility of electrical network, a large amount of electrical equipments is installed, and intelligent substation Shi Yi transformer station first and second equipment is digitizing object, take express network communications platform as basis, by digital information is carried out to standardization, realize the inside and outside information sharing in station and interoperability.
The warning information amount of intelligent substation is much larger than conventional substation, when fault occurs, system more can be received a large amount of warning information in a short time, and to system, operation has caused larger burden, screens warning information simultaneously and also has sizable difficulty with analysis, reasoning failure cause.The warning system of intelligent substation merges multi-specialized knowledge at present, the phenomenon of the failure that certain failure cause may be occurred is enumerated one by one and is formed alarm inferenctial knowledge storehouse, when fault occurs, a plurality of phenomena of the failure that system reflects according to many warning information that receive, backward reasoning analysis draws failure cause conclusion, and will in conclusion, send scheduling station.According to the experience in intelligent substation operational process, often there is different failure causes, a plurality of identical phenomena of the failure have finally been produced, difference is that time sequencing and the time interval of these phenomena of the failure appearance is different, different failure causes cannot be distinguished by identical phenomenon of the failure in current alarm inferenctial knowledge storehouse, the decision confidence that rational analysis draws is not high, cannot bring strong help for malfunction elimination work.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of construction method of alarm inferenctial knowledge storehouse of intelligent substation, can solve existing alarm inferenctial knowledge storehouse and cannot distinguish different failure causes by identical phenomenon of the failure, causes the problem that reliability is low.
The present invention is achieved through the following technical solutions:
The construction method in intelligent substation alarm inferenctial knowledge storehouse, comprises the following steps:
(1) matching relationship between the actuating signal producing respectively according to protective device and isolating switch, the important level of protective device action, and the relation between the protected main equipment being associated with effective protection action of protective device generation, time sequencing relation between each actuating signal and time interval relation, set up protection logical diagram;
(2) in integrated alarm monitoring system, create intelligent alarm Object of Knowledge, by adding Inference Conditions object and inference rule object for intelligent alarm Object of Knowledge, the protection logical diagram that step (1) is obtained is converted into the knowledge base of intelligent alarm reasoning.
Whether the main attribute of Inference Conditions object that step (2) is added comprises: trigger attribute, trigger value, Inference Conditions, be reasoning starting point, triggering reasoning stand-by period, the link of remote signalling point.
The main attribute of the described inference rule object that step (2) is added comprises: regular fashion, timing constraint value, time-constrain mode, require sub-rule time sequencing.
The present invention's advantage is compared with prior art:
The time sequencing relation and the time interval relation that in conjunction with phenomenon of the failure, produce, distinguish the different faults reason of a plurality of same fault phenomenons of final generation, significantly improves the reliability of the failure cause that rational analysis draws, for malfunction elimination work provides effective indication.
Accompanying drawing explanation
Fig. 1 is the protection logical diagram of 220kV circuit instantaneity A phase earth fault.
Fig. 2 is 220kV circuit instantaneity A phase earth fault knowledge base.
Embodiment
The construction method in 220kV circuit instantaneity A phase earth fault alarm inferenctial knowledge storehouse, comprises the following steps:
(1) first consider that A protects action outlet, the A phase position of the switch to separate, protect reclosing action, the BC phase position of the switch to keep the constant condition of co-bit mutually, then consider time sequencing relation, time interval relation between each actuating signal, the actual treatment experience that is aided with again operations staff, draws protection logical diagram as shown in Figure 1;
(2) as shown in Figure 2, in integrated alarm monitoring system, create intelligent alarm Object of Knowledge, under intelligent alarm Object of Knowledge, create an inference rule object, called after " inferenctial knowledge storehouse ", under the inference rule object creating at back, create two Inference Conditions objects and two inference rule objects, by definition association attributes, describe respectively " protection A trip mutually action ", " action of protection reclosing ", " single-phase switch position " and " switch holding position ", under " single-phase switch position " inference rule object, create two Inference Conditions objects, by definition association attributes, " switch A closes mutually " and " tripping of switch A phase " these two Inference Conditions are described, finally, under " switch holding position " inference rule object, create two Inference Conditions objects, by correlation attribute definition, describe " switch B keeps co-bit mutually " and " switch C keeps co-bit mutually ".So far, circuit instantaneity A phase earth fault construction of knowledge base is complete.
The main attribute of described Inference Conditions object comprises:
1) trigger attribute: the attribute that is used for triggering reasoning of the point that the link of remote signalling point is associated;
2) trigger value: action triggers just writes 1, involution triggers and just writes 0;
3) Inference Conditions: have 7 options: be greater than, equal, be less than, be not equal to, change and equal, write and equal, do not write, select according to different situations;
4) whether be reasoning starting point: in a knowledge base, can have a plurality of reasoning starting points, only have when the condition of reasoning starting point meets, just can trigger inference procedure and carry out reasoning
5) trigger the reasoning stand-by period (AfterTriggerTime): reasoning trigger condition meets, and starts to trigger the stand-by period after reasoning, within this time period, if all Inference Conditions and inference rule all meet, infers corresponding conclusion; If have Inference Conditions and inference rule not to meet, do not infer corresponding conclusion;
6) remote signalling point link: associated corresponding signaling point.
The main attribute of described inference rule object comprises:
1) regular fashion: can select with or two kinds of modes;
2) timing constraint value (millisecond): each Inference Conditions under this Object of Knowledge and inference rule object will satisfy condition at official hour binding occurrence simultaneously;
3) time-constrain mode: can select not retrain, be greater than, equal, be less than;
4) require sub-rule time sequencing: can select not require order, requirement order.
Claims (3)
1. the construction method in intelligent substation alarm inferenctial knowledge storehouse, is characterized in that comprising the following steps:
(1) matching relationship between the actuating signal producing respectively according to protective device and isolating switch, the important level of protective device action, and the relation between the protected main equipment being associated with effective protection action of protective device generation, time sequencing relation between each actuating signal and time interval relation, set up protection logical diagram;
(2) in integrated alarm monitoring system, create intelligent alarm Object of Knowledge, by adding Inference Conditions object and inference rule object for intelligent alarm Object of Knowledge, the protection logical diagram that step (1) is obtained is converted into the knowledge base of intelligent alarm reasoning.
2. whether the construction method in a kind of intelligent substation alarm inferenctial knowledge as claimed in claim 1 storehouse, is characterized in that: the main attribute of Inference Conditions object that step (2) is added comprises: trigger attribute, trigger value, Inference Conditions, be reasoning starting point, triggering reasoning stand-by period, the link of remote signalling point.
3. the construction method in a kind of intelligent substation alarm inferenctial knowledge as claimed in claim 1 storehouse, is characterized in that: the main attribute of the described inference rule object that step (2) is added comprises: regular fashion, timing constraint value, time-constrain mode, require sub-rule time sequencing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410311718.2A CN104111988A (en) | 2014-07-03 | 2014-07-03 | Building method of alarm reasoning knowledge base of intelligent transformer substation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410311718.2A CN104111988A (en) | 2014-07-03 | 2014-07-03 | Building method of alarm reasoning knowledge base of intelligent transformer substation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104111988A true CN104111988A (en) | 2014-10-22 |
Family
ID=51708779
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410311718.2A Pending CN104111988A (en) | 2014-07-03 | 2014-07-03 | Building method of alarm reasoning knowledge base of intelligent transformer substation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104111988A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104600610A (en) * | 2014-06-24 | 2015-05-06 | 云南电网公司 | Construction method for prefabricated substation |
| CN108021676A (en) * | 2017-12-07 | 2018-05-11 | 国家电网公司 | A kind of data reconstruction method of integrated form isolation circuit breakers defect storehouse assessment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102035260A (en) * | 2010-12-17 | 2011-04-27 | 国电南瑞科技股份有限公司 | Intelligent warning and fault analysis realizing method for intelligent transformer substation monitoring system |
| CN102393922A (en) * | 2011-06-23 | 2012-03-28 | 山西省电力公司晋中供电分公司 | Fuzzy Petri inference method of intelligent alarm expert system of transformer substation |
| CN103679354A (en) * | 2013-12-02 | 2014-03-26 | 南京磐能电力科技股份有限公司 | Intelligent warning method on basis of multilayer fault inference library and intelligent inference machine |
-
2014
- 2014-07-03 CN CN201410311718.2A patent/CN104111988A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102035260A (en) * | 2010-12-17 | 2011-04-27 | 国电南瑞科技股份有限公司 | Intelligent warning and fault analysis realizing method for intelligent transformer substation monitoring system |
| CN102393922A (en) * | 2011-06-23 | 2012-03-28 | 山西省电力公司晋中供电分公司 | Fuzzy Petri inference method of intelligent alarm expert system of transformer substation |
| CN103679354A (en) * | 2013-12-02 | 2014-03-26 | 南京磐能电力科技股份有限公司 | Intelligent warning method on basis of multilayer fault inference library and intelligent inference machine |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104600610A (en) * | 2014-06-24 | 2015-05-06 | 云南电网公司 | Construction method for prefabricated substation |
| CN104600610B (en) * | 2014-06-24 | 2017-02-01 | 云南电网公司 | Construction method for prefabricated substation |
| CN108021676A (en) * | 2017-12-07 | 2018-05-11 | 国家电网公司 | A kind of data reconstruction method of integrated form isolation circuit breakers defect storehouse assessment |
| CN108021676B (en) * | 2017-12-07 | 2021-01-08 | 国家电网公司 | Data reconstruction method for defect library evaluation of integrated isolation circuit breaker |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107884707A (en) | High-voltage circuit-breaker switching on-off time on-Line Monitor Device and method | |
| CN105974267B (en) | A kind of small current grounding fault positioning system and its method based on IEC 61850 | |
| CN203691057U (en) | Arc online monitoring and protecting system | |
| CN109116181A (en) | A kind of fault detector failure judgment method based on maximum probability | |
| Maiola et al. | A multi-agent system for protection coordination of radial systems in the presence of distributed generation | |
| CN102184203B (en) | Method for constructing network reconfiguration database | |
| CN104111988A (en) | Building method of alarm reasoning knowledge base of intelligent transformer substation | |
| CN108469557B (en) | High voltage direct current transmission device Fault Locating Method based on inverter differential protection | |
| CN203967750U (en) | A kind of arc-extinguishing harmonic-eliminating integrated cabinet | |
| CN103346617A (en) | Error logical judgment prevention system and judgment method considering multiple constraint conditions | |
| CN203069726U (en) | Rural power grid power distribution line fault location and isolation system | |
| CN102185293A (en) | Line fault tripping certainty factor analysis method | |
| CN103616610A (en) | Simulation method of monitoring signals in power grid fault line | |
| CN103248120A (en) | Method for achieving accident trip judgment of scheduling main station without accident main signal | |
| CN102938556B (en) | With the capacitor protection measurement and control integration device of unbalanced current protection function | |
| CN104749493A (en) | Grid fault equipment analyzing and reasoning method based on rule tree | |
| CN104064001B (en) | A kind of intelligent substation alarm inference method | |
| CN109784699B (en) | Method for checking correctness of SCD (substation configuration description) file between 110kV lines of intelligent substation | |
| CN106447235B (en) | A kind of Substation Bus Arrangement analysis method for reliability considering route protection | |
| CN103746354A (en) | Distribution network fault isolation method based on transformer substation overcurrent protection | |
| CN107895939B (en) | Method for developing feeder terminal of power distribution network supporting open communication | |
| CN204205563U (en) | A kind of high voltage DC power transmission converter station converter valve cooling system tripping operation redundant apparatus | |
| CN109768533A (en) | The method of the more handset synchronization actions of site element protection looped network | |
| CN105301443B (en) | Fault detector short trouble based on worst principle determines practical method | |
| Yue et al. | Fault diagnosis based on fault recorder data and temporal constraint network in HV transmission system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20141022 |
|
| RJ01 | Rejection of invention patent application after publication |