CN105158719B - A kind of partial discharge intelligent assembly check system and method - Google Patents
A kind of partial discharge intelligent assembly check system and method Download PDFInfo
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Abstract
The invention discloses a kind of partial discharge（Shelf depreciation）Intelligent assembly check system, including parameter configuration module, data acquisition module, consistency detection module, partial discharge performance test module, Log Report module and data inquiry module, to partial discharge（Shelf depreciation）Intelligent assembly carries out full validation, solves the problems, such as that current partial discharge intelligent assembly lacks complete field-checking means and device；Set up partial discharge intelligent assembly field-checking specification；Systematic research is carried out by other intelligent assembly field-checking technologies to GIS device, provides the solution for the problem of there is currently.
Description
Technical field
The present invention relates to a kind of partial discharge（Shelf depreciation）Intelligent assembly check system and method, it is GIS partial discharges intelligence to belong to
The on-site calibrating method and technology of component.
Background technology
Intelligent substation includes GIS partial discharges, GIS air chambers, breaker mechanic property, leakage current of an arrester, transformation at present
The multiclass on-Line Monitor Devices such as device iron core, transformer oil chromatographic and temperature of oil in transformer.Because intelligent substation is mounted with largely
Sensor and on-line monitoring system device, to these sensors and the validity of on-Line Monitor Device parameter measurement, accuracy and
The verification of reliability becomes the important component that smart machine carries out regular maintenance.
Jiangsu Power Company is the domestic unit for using intelligent substation pilot in the first batch, and first pilot is netted in state
After 220kV intelligent substations Xi Jing changes put into operation, organizational strength is carried out to intelligent substation key smart machine regular maintenance scheme
Analyze and study and put into practice, achieve certain achievement.By putting into practice us it also seen that at present to on-Line Monitor Device
Regular maintenance scheme many weak points also be present：
Carried out complete test when on-Line Monitor Device is dispatched from the factory mostly, but field-checking have with laboratory verification it is very big
Difference, only the partial function of on-Line Monitor Device is verified and checked at present, is not carried out covering comprehensively.Such as GIS offices
On-Line Monitor Device is put, feature verification is carried out to IED only with analog signal at present, the critical component partial discharge of system is sensed
Device lacks effective detection means, and can not understanding sensor, whether characterisitic parameter is changed in operation, to partial discharge IED
The defects of type design function also lack corresponding verification means.Similar situation exists in other on-Line Monitor Devices
In, therefore study the field-checking technology of such device and develop associated check device, cover the crucial ginseng of on-Line Monitor Device
Number is the task of top priority.
Based on all being verified at present to the field-checking of most of on-Line Monitor Device with feature, verification means are simpler
It is single, lack complete technical system, in-depth study is not carried out to the validity, accuracy and reliability of check results, because
The calibration technology of on-Line Monitor Device is studied this necessary comprehensive system, improves the validity and accuracy of check results.
Verified and detected using to single on-Line Monitor Device at present, and many on-Line Monitor Devices are even
The requirement of field-checking in operation is not accounted for, field-checking disconnects that line is considerably complicated, and the implementation to field-checking is brought
Very big difficulty.In addition on-line monitoring system is individually split one by one and increases workload to have verified also, while also dropped
The low reliability of system.
The content of the invention
The purpose of the present invention is to disclose a kind of partial discharge（Shelf depreciation）Intelligent assembly check system and method, solves current office
Put the problem of intelligent assembly lacks complete field-checking means and device；Set up partial discharge intelligent assembly field-checking specification；It is logical
Cross other intelligent assembly field-checking technologies to GIS device and carry out systematic research, provide the solution party for the problem of there is currently
Case.
Technical solution of the present invention is as follows：
A kind of partial discharge intelligent assembly check system, including parameter configuration module, data acquisition module, consistency detection mould
Block, partial discharge performance test module, Log Report module and data inquiry module；
Parameter configuration module is used for user and the parameter in signal generator, signal picker is being carried out before being tested
Configuration, to reach the data for producing predetermined result and corresponding collection of illustrative plates, the later stage is facilitated to carry out data check work when testing
Convenience；
Data acquisition module collects the data of signal picker and the partial discharge data of intelligent assembly；
Consistency detection module is used for the consistency detection of GIS partial discharge intelligent assemblies；Uniformity is tested including static models
Verification, dynamic model test consistency desired result and the verification of IEC61850 protocol conformances.
Partial discharge performance test module by reading the partial discharge fault model, signal amplitude, umber of pulse that intelligent assembly identifies,
Carry out partial discharge performance test.
Running status when Log Report module logging program is run, surveyed according to consistency detection module and 4 partial discharge performances
The testing result of die trial block, generation uniformity test report, the test report are saved in local computer by multiple format is provided
In.
Data inquiry module is checked for user to historic test results.Such as：According to time or tested IDE titles
The result for carrying out corresponding history test is checked.
The parameter of parameter configuration module configuration includes messaging parameter, insulating properties test parameter, partial discharge sampling parameter, partial discharge
Collection of illustrative plates display parameters, calculation of characteristic parameters parameter and uniformity test parameter.
Data acquisition module includes signal generator, signal picker and wireless transceiver；Signal generator, signal acquisition
Device and wireless transceiver are linked in sequence successively；
Data acquisition module is used for signal injection, signal acquisition and data transfer；
From signal generator toward Injection Signal in equipment to be checked；
Test signal in the real-time collecting device of signal picker；
Signal picker transmits data to data processing server by wireless transceiver.
Consistency detection module static models test consistency desired result, dynamic model test consistency desired result and
IEC61850 protocol conformances verification detection independently of each other.Each single item detection terminate after carry out correlation test result show and
The preservation of data and the generation work of test report.The option not passed through for test, user, which can carry out mending, to survey until test
Untill, mend survey test report and generate in addition.
The detection process of partial discharge performance test module specifically includes following steps：
1）It is N to set partial discharge fault model testing time；
2）Signal generator is toward Injection Signal in partial discharge intelligent assembly equipment to be checked；
3）Partial discharge fault model signal is produced based on partial discharge fault-signal maker；
4）Read partial discharge fault model signal, signal amplitude and umber of pulse that intelligent assembly identifies；
5）Comparison step 4）Intelligent assembly identification partial discharge fault model signal whether with step 3）Partial discharge fault-signal is given birth to
Partial discharge fault model signal is consistent caused by growing up to be a useful person, the consistent number of statistics partial discharge fault model signal；Record amplitude detection knot
Fruit and umber of pulse；
6）Judge whether testing time is N, if N, into step 7）, otherwise, return to step 3）；
7）Statistical failure model discrimination：Fault model discrimination is:Step 4）The fault model letter of intelligent assembly identification
Number with step 3）The consistent number of middle partial discharge fault model signal is used as correct identification number, with correct identification number divided by always
Fault model discrimination of the testing time as intelligent assembly
8）By step 4）The amplitude of record and step 3）In partial discharge fault-signal maker produce partial discharge fault model letter
Number amplitude com parison, calculate the error of amplitude detection, according to the error calculation error range of amplitude detection, enter according to error range
Row scoring, as amplitude detection result
9）By step 4）The umber of pulse divided by step 3 that intelligent assembly detects）Partial discharge fault-signal maker produces partial discharge
The umber of pulse of fault model signal, obtain pulse recall rate；
10）Using Model Identification rate * 50%+ amplitude detection result * 25%+ pulse recall rates * 25% as partial discharge assessment result.
Log Report module includes event log module（The event that occurs in test process, highlight emphasis event）,
Log Filter query function is provided；Report generation module includes content according to different demands selection report.
Data inquiry module includes partial discharge real-time testing data query, the inquiry of IEC61850 communication datas, history test number
It is investigated that ask.
A kind of partial discharge intelligent assembly method of calibration, comprises the following steps,
S1, configure sampling parameter；
S2, select test item；
S3, the detection of quiet dynamic model is judged whether to, if quiet dynamic model detects, then into step S4, otherwise,
Into step S8；
S4, obtain static models and carry out static models detection；
S5, dynamic model detection；
S6, static models are detected compared with dynamic model test data；
S7, preserve data and generate test report；
S8, data sampling detection is judged whether to, if necessary to carry out data sampling detection, into step S9, otherwise,
Into step S12；
S9, IED obtain sampled data；
S10, signal picker sampled data；
S11, compares S9 steps IED acquisition sampled datas and whether the step S10 signal pickers data sampled are consistent, obtains
Go out result and preserve database；
S12, consistency detection is judged whether to, if it is, into step S13, otherwise, complete test；
S13, consistency detection is carried out to intelligent assembly according to IEC61850, statistics uniformity test passes through item quantity；Will
Test passes through item quantity divided by test item quantity, and acquired results are as uniformity test result；
S14, after carrying out consistency detection, judge whether uniformity test item is successfully tested, if it is, generation uniformity is surveyed
Examination report, completes test, otherwise, into step S15；
S15, judge whether to mend and survey, if carrying out benefit survey, return to step S13, otherwise, complete test.
Static models detection verifies whether intelligent electronic device configuration file meets by static models calibration tool
IEC61850 standards, verification is by back-checking result afterwards to data processing server；
Dynamic model detection is carried out by uniformity test instrument, and testing result and static models are detected into identical form
Return to data processing server；
Data processing server end carries out static models detection and dynamic model detection, and testing result is stored in into database
In, and generate examining report.
Step S13 consistency detections are according to IEC61850《The substation communication networks of DLT 860.10 and system the 10th
Point：Uniformity test》Defined in method of testing disposably detected, specifically include following detection：Association, service
Device, logical device, logical node and data model, data set model, substitution model, definite value group Controlling model, report model, day
Will class model, Generic Substation Event model, sampled value model, Controlling model, time consistency model, Module of File Transporting and
Combined test.
Compared with prior art, beneficial effect of the present invention includes：
The present invention discloses a kind of partial discharge（Shelf depreciation）Intelligent assembly check system, including parameter configuration module, data are adopted
Collect module, consistency detection module, partial discharge performance test module, Log Report module and data inquiry module, to partial discharge（It is local
Electric discharge）Intelligent assembly carries out full validation, solves current partial discharge intelligent assembly and lacks asking for complete field-checking means and device
Topic；Set up partial discharge intelligent assembly field-checking specification；It is by other intelligent assembly field-checking technologies to GIS device
The research of system property, provide the solution for the problem of there is currently.
Brief description of the drawings
Fig. 1 is a kind of partial discharge intelligent assembly check system structural representation of the present invention；
Fig. 2 is data acquisition module structural representation；
Fig. 3 is a kind of partial discharge intelligent assembly method of calibration schematic flow sheet of the present invention.
Embodiment
The present invention is further described below in conjunction with the accompanying drawings.
As shown in figure 1, a kind of partial discharge intelligent assembly check system, including it is parameter configuration module, data acquisition module, consistent
Property detection module, partial discharge performance test module, Log Report module and data inquiry module；
Parameter configuration module is used for user and the parameter in signal generator, signal picker is being carried out before being tested
Configuration, to reach the data for producing predetermined result and corresponding collection of illustrative plates, the later stage is facilitated to carry out data check work when testing
Convenience；
Data acquisition module collects the data of signal picker and the partial discharge data of intelligent assembly；
Consistency detection module is used for the consistency detection of GIS partial discharge intelligent assemblies；Uniformity is tested including static models
Verification, dynamic model test consistency desired result and the verification of IEC61850 protocol conformances.
Partial discharge performance test module by reading the partial discharge fault model, signal amplitude, umber of pulse that intelligent assembly identifies,
Carry out partial discharge performance test；
Running status when Log Report module logging program is run, surveyed according to consistency detection module and 4 partial discharge performances
The testing result of die trial block, generation uniformity test report, the test report are saved in local computer by multiple format is provided
In.
Data inquiry module is checked for user to historic test results.Such as：According to time or tested IDE titles
The result for carrying out corresponding history test is checked.
The parameter of parameter configuration module configuration includes messaging parameter, insulating properties test parameter, partial discharge sampling parameter, partial discharge
Collection of illustrative plates display parameters, calculation of characteristic parameters parameter and uniformity test parameter.
System can generate the parameter configuration of some acquiescences in initialization, and user can also change, in system operation, meeting
Read these parameters.
Configuration parameter includes gathered data gap periods, uploads cycle, partial discharge IED network address etc.；Log Report
Local storage path, information reminding rank etc.；Whether quiet dynamic model detection, 61850 consistency detections, partial discharge performance inspection are carried out
Survey etc.；
By data acquisition process, data are deposited in database, then carry out consistency detection, the inspection of partial discharge performance
Survey；
Data query can read corresponding data according to querying condition from database.
Log Report not only deposits testing result, it is also necessary to the state of logging program running, for example, when program occurs
, it is necessary to be written in Log Report during Bug.
As shown in Fig. 2 data acquisition module includes signal generator, signal picker and wireless transceiver；Signal occurs
Device, signal picker and wireless transceiver are linked in sequence successively；
Data acquisition module is used for signal injection, signal acquisition and data transfer；
From signal generator toward Injection Signal in equipment to be checked；
Test signal in the real-time collecting device of signal picker；
Signal picker transmits data to data processing server by wireless transceiver.
Consistency detection module static models test consistency desired result, dynamic model test consistency desired result and
IEC61850 protocol conformances verification detection independently of each other.Each single item detection terminate after carry out correlation test result show and
The preservation of data and the generation work of test report.The option not passed through for test, user, which can carry out mending, to survey until test
Untill, mend survey test report and generate in addition.
The detection process of partial discharge performance test module specifically includes following steps：
1）It is N to set partial discharge fault model testing time；
2）Signal generator is toward Injection Signal in partial discharge intelligent assembly equipment to be checked；
3）Partial discharge fault model signal is produced based on partial discharge fault-signal maker；
4）Read partial discharge fault model signal, signal amplitude and umber of pulse that intelligent assembly identifies；
5）Comparison step 4）Intelligent assembly identification partial discharge fault model signal whether with step 3）Partial discharge fault-signal is given birth to
Partial discharge fault model signal is consistent caused by growing up to be a useful person, the consistent number of statistics partial discharge fault model signal；Record amplitude detection knot
Fruit and umber of pulse；
6）Judge whether testing time is N, if N, into step 7）, otherwise, return to step 3）；
7）Statistical failure model discrimination：Fault model discrimination is:Step 4）The fault model letter of intelligent assembly identification
Number with step 3）The consistent number of middle partial discharge fault model signal is used as correct identification number, with correct identification number divided by always
Fault model discrimination of the testing time as intelligent assembly
8）By step 4）The amplitude of record and step 3）In partial discharge fault-signal maker produce partial discharge fault model letter
Number amplitude com parison, calculate the error of amplitude detection, according to the error calculation error range of amplitude detection, enter according to error range
Row scoring, as amplitude detection result
9）By step 4）The umber of pulse divided by step 3 that intelligent assembly detects）Partial discharge fault-signal maker produces partial discharge
The umber of pulse of fault model signal, obtain pulse recall rate；
10）Using Model Identification rate * 50%+ amplitude detection result * 25%+ pulse recall rates * 25% as partial discharge assessment result.
Log Report module includes event log module（The event that occurs in test process, highlight emphasis event
Deng）, there is provided Log Filter query function；Report generation module includes content according to different demands selection report.
Data inquiry module includes partial discharge real-time testing data query, the inquiry of IEC61850 communication datas, history test number
It is investigated that ask（Data comparison, collection of illustrative plates contrast, fingerprint contrast etc.）.
As shown in figure 3, a kind of partial discharge intelligent assembly method of calibration, comprises the following steps,
S1, configure sampling parameter；
S2, select test item；
S3, the detection of quiet dynamic model is judged whether to, if quiet dynamic model detects, then into step S4, otherwise,
Into step S8；
S4, obtain static models and carry out static models detection；
S5, dynamic model detection；
S6, static models are detected compared with dynamic model test data；
S7, preserve data and generate test report；
S8, data sampling detection is judged whether to, if necessary to carry out data sampling detection, into step S9, otherwise,
Into step S12；
S9, IED obtain sampled data；
S10, signal picker sampled data；
S11, compares S9 steps IED acquisition sampled datas and whether the step S10 signal pickers data sampled are consistent, obtains
Go out result and preserve database；
S12, consistency detection is judged whether to, if it is, into step S13, otherwise, complete test；
S13, consistency detection is carried out to intelligent assembly according to IEC61850, statistics uniformity test passes through item quantity；Will
Test passes through item quantity divided by test item quantity, and acquired results are as uniformity test result；
S14, after carrying out consistency detection, judge whether uniformity test item is successfully tested, if it is, generation uniformity is surveyed
Examination report, completes test, otherwise, into step S15；
S15, judge whether to mend and survey, if carrying out benefit survey, return to step S13, otherwise, complete test.
Static models detection verifies whether intelligent electronic device configuration file meets by static models calibration tool
IEC61850 standards, verification return to the check results of set form to data processing server after；
Dynamic model detection is carried out by uniformity test instrument, and testing result and static models detection identical are fixed
Form returns to data processing server；
Data processing server end carries out static models detection and dynamic model detection, and testing result is stored in into database
In, and generate examining report.
Step S13 consistency detections are according to IEC61850《The substation communication networks of DLT 860.10 and the part of system the 10th：
Uniformity test》Defined in method of testing disposably detected, specifically include following detection：Association, server,
Logical device, logical node and data model, data set model, substitution model, definite value group Controlling model, report model, daily record
Class model, Generic Substation Event model, sampled value model, Controlling model, time consistency model, Module of File Transporting and group
Close test.
It the above is only the preferred embodiment of the present invention, it should be pointed out that：Come for those skilled in the art
Say, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should be regarded as
Protection scope of the present invention.
Claims (10)
1. a kind of partial discharge intelligent assembly check system, it is characterised in that including parameter configuration module, data acquisition module, consistent
Property detection module, partial discharge performance test module, Log Report module and data inquiry module；
The parameter configuration module is used for user and the parameter in signal generator, signal picker is being carried out before being tested
Configuration；
Data acquisition module collects the data of signal picker and the partial discharge data of intelligent assembly；
Consistency detection module is used for the consistency detection of GIS partial discharge intelligent assemblies；The consistency detection includes static models
Test consistency desired result, dynamic model test consistency desired result and the verification of IEC61850 protocol conformances；
Partial discharge performance test module is carried out by reading the partial discharge fault model, signal amplitude, umber of pulse that intelligent assembly identifies
Partial discharge performance test；
Running status when Log Report module logging program is run, according to consistency detection module and partial discharge performance test module
Testing result, generation uniformity test report；
Data inquiry module is checked for user to historic test results.
A kind of 2. partial discharge intelligent assembly check system according to claim 1, it is characterised in that
The parameter of parameter configuration module configuration includes messaging parameter, insulating properties test parameter, partial discharge sampling parameter, partial discharge collection of illustrative plates
Display parameters, calculation of characteristic parameters parameter and uniformity test parameter.
A kind of 3. partial discharge intelligent assembly check system according to claim 1, it is characterised in that
Data acquisition module includes signal generator, signal picker and wireless transceiver；The signal generator, signal acquisition
Device and wireless transceiver are linked in sequence successively；
Data acquisition module is used for signal injection, signal acquisition and data transfer：
From signal generator toward Injection Signal in equipment to be checked；Test signal in the real-time collecting device of signal picker；Signal
Collector transmits data to data processing server by wireless transceiver.
A kind of 4. partial discharge intelligent assembly check system according to claim 1, it is characterised in that
Static models test consistency desired result, dynamic model test consistency desired result and the IEC61850 associations of consistency detection module
View consistency desired result detects independently of each other.
A kind of 5. partial discharge intelligent assembly check system according to claim 1, it is characterised in that
The detection process of partial discharge performance test module specifically includes following steps：
1）It is N to set partial discharge fault model testing time；
2）Signal generator is toward Injection Signal in partial discharge intelligent assembly equipment to be checked；
3）Partial discharge fault model signal is produced based on partial discharge fault-signal maker；
4）Read partial discharge fault model signal, signal amplitude and umber of pulse that intelligent assembly identifies；
5）Comparison step 4）Intelligent assembly identification partial discharge fault model signal whether with step 3）Partial discharge fault-signal maker
Caused partial discharge fault model signal is consistent, the consistent number of statistics partial discharge fault model signal；Record amplitude detection result and
Umber of pulse；
6）Judge whether testing time is N, if N, into step 7）, otherwise, return to step 3）；
7）Statistical failure model discrimination：The fault model discrimination is:Step 4）The fault model letter of intelligent assembly identification
Number with step 3）The consistent number of middle partial discharge fault model signal is used as correct identification number, with correct identification number divided by always
Fault model discrimination of the testing time as intelligent assembly；
8）By step 4）The amplitude of record and step 3）In partial discharge fault-signal maker produce partial discharge fault model signal
Amplitude com parison, the error of amplitude detection is calculated, according to the error calculation error range of amplitude detection, entered according to the error range
Row scoring, as amplitude detection result；
9）By step 4）The umber of pulse divided by step 3 that intelligent assembly detects）Partial discharge fault-signal maker produces partial discharge failure
The umber of pulse of model signals, obtain pulse recall rate；
10）Using fault model discrimination * 50%+ amplitude detection result * 25%+ pulse recall rates * 25% as partial discharge assessment result.
A kind of 6. partial discharge intelligent assembly check system according to claim 1, it is characterised in that
Log Report module includes event log module.
A kind of 7. partial discharge intelligent assembly check system according to claim 1, it is characterised in that
Data inquiry module includes partial discharge real-time testing data query, the inquiry of IEC61850 communication datas and historical test data and looked into
Ask.
A kind of 8. partial discharge intelligent assembly method of calibration, it is characterised in that comprise the following steps,
S1, configure sampling parameter；
S2, select test item；
S3, quiet dynamic model detection is judged whether to, if quiet dynamic model detects, then into step S4, otherwise, entered
Step S8；
S4, obtain static models and carry out static models detection；
S5, dynamic model detection；
S6, static models are detected compared with dynamic model test data；
S7, preserve data and generate test report；
S8, data sampling detection is judged whether to, if necessary to carry out data sampling detection, into step S9, otherwise, entered
Step S12；
S9, IED obtain sampled data；
S10, signal picker sampled data；
S11, compares S9 steps IED acquisition sampled datas and whether the step S10 signal pickers data sampled are consistent, draws knot
Fruit simultaneously preserves database；
S12, consistency detection is judged whether to, if it is, into step S13, otherwise, complete test；
S13, consistency detection is carried out to intelligent assembly according to IEC61850, statistics uniformity test passes through item quantity；Will test
By item quantity divided by test item quantity, acquired results are as uniformity test result；
S14, after carrying out consistency detection, judge whether consistency detection item is successfully tested, if it is, generation uniformity test report
Accuse, test is completed, otherwise, into step S15；
S15, judge whether to mend and survey, if carrying out benefit survey, return to step S13, otherwise, complete test.
A kind of 9. partial discharge intelligent assembly method of calibration according to claim 8, it is characterised in that
The static models detection verifies whether intelligent electronic device configuration file meets by static models calibration tool
IEC61850 standards, verification is by back-checking result afterwards to data processing server；
Dynamic model detection is carried out by uniformity test instrument, and testing result and static models are detected into identical form returns
To data processing server；
Data processing server end carries out static models detection and dynamic model detection, and testing result is stored in database,
And generate examining report.
A kind of 10. partial discharge intelligent assembly method of calibration according to claim 8, it is characterised in that
Step S13 consistency detections are disposably detected according to the method for testing defined in IEC61850, are specifically included following
Detection：Association, server, logical device, logical node and data model, data set model, substitution model, definite value group
Controlling model, report model, daily record class model, Generic Substation Event model, sampled value model, Controlling model, time consistency
Property model, Module of File Transporting and combined test.
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