CN105160604B - Power grid equipment state pre-warning platform based on abnormal operation condition identification - Google Patents
Power grid equipment state pre-warning platform based on abnormal operation condition identification Download PDFInfo
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- CN105160604B CN105160604B CN201510640872.9A CN201510640872A CN105160604B CN 105160604 B CN105160604 B CN 105160604B CN 201510640872 A CN201510640872 A CN 201510640872A CN 105160604 B CN105160604 B CN 105160604B
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Abstract
The present invention provides a power grid equipment state pre-warning platform based on abnormal operation condition identification, which is characterized in that: the platform comprises the following modules: a data interface module, a data preprocessing module, an equipment state threshold-crossing analysis module, an equipment abnormal operation condition identification module and a state pre-warning platform. According to the present invention, the power grid equipment state pre-warning platform starts from the improvement of an application level for equipment operation data analysis, researches a method for equipment threshold-crossing analysis and abnormal operation condition identification, realizes the scientific judgment on the change of an equipment state, and researches the abnormal operation condition identification, thereby improving the application level for power grid operation data analysis.
Description
Technical field
The present invention relates to Power System Analysis and automation field, more particularly, to set based on the electrical network of unusual service condition identification
Standby status early warning platform.
Background technology
The service data when operation of equipment operating data, particularly unit exception or state change, contains abundant setting
Standby condition information.These data not only can consersion unit operation conditions and historical situation, and can use as decision-making
Reference frame, can timely all-the-way tracking equipment operation conditions, the solution afterwards of problem is changed into advance preventing.
At present, effective analysis means and unified management are lacked to equipment operating data it is impossible to from deeper angle
Degree grasps equipment running status and its change procedure so that market demand level is relatively low, there is no method really to excavate equipment and runs
The abundant status information comprising in data, data analysiss work is carried out difficult.
Therefore, analytical equipment service data, sets up unit exception operation mode recognition model it is not only possible to send out from data
Existing equipment potential risks, realize equipment state early warning, and by the statistical analysiss to unit exception service data, can be calibrated
Really grasp the running status of equipment, instruct foundation for carrying out the work such as preventive trial, repair based on condition of component offer.
Content of the invention
In order to realize above-mentioned target, the grid equipment status early warning platform based on unusual service condition identification that the present invention provides,
From the angle of multi dimensional analysis equipment operating data, build the status early warning platform based on unit exception operating mode's switch, real
Now to the standardization pretreatment of service data, analyze and realize equipment early warning
The purpose of the present invention can be achieved through the following technical solutions:
A kind of grid equipment status early warning platform based on unusual service condition identification it is characterised in that: this platform includes as follows
Module: the out-of-limit analysis module of data interface module, data preprocessing module, equipment state, unit exception operation mode recognition mould
Block, status early warning module；Wherein,
Described data interface module passes through normalized interface and accesses all kinds of operation of power networks data from other system；Described electrical network
Service data includes that main transformer is active, idle, electric current, oil temperature.Described other system includes dispatch automated system.Described standardization
Interface is, for example, webservice.
Described data preprocessing module sets up corresponding data prediction strategy respectively to equipment operating data, including data
Reasonableness check strategy, data interpolation strategy, realize the disappearance of all kinds of service datas, error situation are corrected automatically, protect
The integrity of barrier data；
To equipment, all kinds of service datas are respectively provided with corresponding threshold value to the out-of-limit analysis module of described equipment state, surpass in numerical value
When crossing threshold value, realize the out-of-limit automatic discrimination of data；Described service data all kinds of to equipment be respectively provided with corresponding threshold value include right
In main transformer oil, set out-of-limit threshold value as 120 degrees Celsius, realize temperature beyond limit analysis.
Described unusual service condition identification module selected equipment typical case's misoperation data, as training sample, sets up unit exception
Operating condition neural network recognization model, using identification model, judges the current operating condition of equipment, realizes unusual service condition and knows
Not；Described identification model is the unusual service condition identification model based on load changing rate analysis.
Described out-of-limit analysis module and the out-of-limit result of described unusual service condition identification module outut device, described unusual service condition are known
Other module output abnormality operating mode result, to status early warning module, realizes the equipment complex early warning based on Operational Data Analysis.
The invention has the following beneficial effects:
The invention provides a kind of grid equipment status early warning platform based on unusual service condition identification, run from lifting means
Data analysis application level is set out, the out-of-limit analysis of research equipment, unusual service condition recognition methodss, realizes science judgment equipment state
Change, and study the identification of misoperation operating mode, lift operation of power networks data analysis application level.Additionally, setting up the equipment of being based on
The out-of-limit status early warning strategy with unusual service condition analysis of state, realizes the status early warning based on equipment operating data, is substantially improved
Equipment pre-alerting ability.
Brief description
Fig. 1 is the overall schematic of the grid equipment status early warning platform that the present invention is identified based on unusual service condition.
Specific embodiment
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing, the present invention is made into one
Step ground describes in detail.
Fig. 1 is the overall schematic of the grid equipment status early warning platform that the present invention is identified based on unusual service condition, this platform
Including data interface module, data preprocessing module, the out-of-limit analysis module of equipment state, unit exception operation mode recognition mould
Block, status early warning module, realize based on unusual service condition identification and state baseline analysis grid equipment status early warning, and complete as
Lower status early warning process:
Step 1: data interface module, by normalized interface such as webservice, from dispatch automated system etc. other
System, accesses all kinds of service data of grid equipment.
Specifically, equipment operating data, taking transformator as a example, comprising: load level, temperature rise level, suffer from overvoltage feelings
Condition (Lightning Over-voltage, switching overvoltage), near region short-circuit conditions, running environment (ambient temperature, humidity, pollution level) etc.；
Step 2: data preprocessing module, equipment operating data is set up respectively with corresponding data prediction strategy, realizes
Situations such as to the disappearance of all kinds of service datas, mistake, is corrected automatically, ensures the integrity of data.
Step 3: adopt analytic hierarchy process (AHP), considering all kinds of service data of equipment etc. affects on equipment state, and foundation
Experience and Specifications, the setting out-of-limit threshold value of each service data and weight, set up the out-of-limit analysis model of equipment state, judge
Equipment currently whether there is the out-of-limit situation of state；
Step 4: the analysis of unit exception operating condition, first bad condition is carried out by combing and divides on equipment state impact
Analysis, comprising: overload, suffer from overvoltage and near region short circuit etc., determines that bad industry control affects evaluation method to equipment life；Secondly
The state loss relation of bonding apparatus different periods and equipment different periods state loss relation, determine there is bad condition equipment
State loss relation, assessment equipment operating condition in different periods.The present invention is divided into 4 states to equipment running status,
Be respectively as follows: normal operating condition, can be with running status, reliability decrease state and precarious position；
Step 5: the out-of-limit analysis result of status early warning module bonding apparatus service data and unusual service condition analysis result etc. are right
Equipment carries out the status early warning based on equipment operating data；According to equipment state baseline analysis result, for different equipment shapes
The out-of-limit situation of state, formulates the O＆M strategy of differentiation, lifting means operation management level.
Through the above description of the embodiments, those skilled in the art can be understood that the present invention can be by
Software adds the mode of necessary hardware platform to realize naturally it is also possible to all implement by hardware.Based on such understanding,
What technical scheme contributed to background technology can be embodied in whole or in part in the form of software product,
This computer software product can be stored in storage medium, such as rom/ram, magnetic disc, CD etc., including some instructions in order to make
Obtain a computer equipment (can be personal computer, server, or network equipment etc.) and execute each embodiment of the present invention
Or some partly described methods of embodiment.
Invention described above embodiment, does not constitute limiting the scope of the present invention.Any in the present invention
Spirit and principle within modification, equivalent and improvement of being made etc., should be included in the claim protection model of the present invention
Within enclosing.
Claims (6)
1. a kind of grid equipment status early warning platform based on unusual service condition identification it is characterised in that: this platform includes following mould
Block: the out-of-limit analysis module of data interface module, data preprocessing module, equipment state, unit exception operation mode recognition module,
Status early warning module；Wherein,
Described data interface module passes through normalized interface from all kinds of service data of other system access device；
Described data preprocessing module sets up corresponding data prediction strategy respectively to all kinds of service data of equipment, including data
Reasonableness check strategy, data interpolation strategy, realize automatically carrying out school to the disappearance of all kinds of service data of equipment, error situation
Just, ensure the integrity of all kinds of service data of equipment；
To equipment, all kinds of service datas are respectively provided with corresponding threshold value to the out-of-limit analysis module of described equipment state, in all kinds of fortune of equipment
When row data exceedes threshold value, realize the out-of-limit automatic discrimination of data；
Described unit exception operation mode recognition module selected equipment typical case's misoperation data, as training sample, sets up equipment
Misoperation operating mode neural network recognization model, using unit exception operating condition neural network recognization model, judges that equipment is worked as
Front operating condition, realizes unusual service condition identification；
The described out-of-limit analysis module of equipment state and the out-of-limit result of described unusual service condition identification module outut device, described equipment are different
Often, to status early warning module, the equipment complex realized based on Operational Data Analysis is pre- for operating mode's switch module output abnormality operating mode result
Alert.
2. platform according to claim 1 it is characterised in that: it is active, no that all kinds of service data of described equipment includes main transformer
Work(, electric current, oil temperature.
3. platform according to claim 1 it is characterised in that: described other system includes dispatch automated system.
4. platform according to claim 1 it is characterised in that: described normalized interface is webservice.
5. platform according to claim 1 it is characterised in that: described service datas all kinds of to equipment are respectively provided with corresponding
Threshold value is included for main transformer oil, sets out-of-limit threshold value as 120 degrees Celsius, realizes temperature beyond limit analysis.
6. platform according to claim 1 it is characterised in that: described unit exception operating condition neural network recognization model
It is the unusual service condition identification model based on load changing rate analysis.
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| CN201510640872.9A CN105160604B (en) | 2015-09-29 | 2015-09-29 | Power grid equipment state pre-warning platform based on abnormal operation condition identification |
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| CN201510640872.9A CN105160604B (en) | 2015-09-29 | 2015-09-29 | Power grid equipment state pre-warning platform based on abnormal operation condition identification |
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| CN105160604B true CN105160604B (en) | 2017-02-01 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108280590A (en) * | 2018-02-09 | 2018-07-13 | 青海电研科技有限责任公司 | Photovoltaic plant online evaluation early warning system and method |
| CN110065866A (en) * | 2019-04-25 | 2019-07-30 | 永大电梯设备（中国）有限公司 | A kind of integrated forecasting system of the exception monitoring based on SMT |
| CN113722973A (en) * | 2020-05-25 | 2021-11-30 | 中国石油化工股份有限公司 | Correction system and correction method of computer simulation model |
| CN112649696A (en) * | 2020-10-26 | 2021-04-13 | 国网河北省电力有限公司邢台供电分公司 | Power grid abnormal state identification method |
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