CN106483401A - A kind of fault zero moment determination methods based on recorder data and device - Google Patents
A kind of fault zero moment determination methods based on recorder data and device Download PDFInfo
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- CN106483401A CN106483401A CN201610859340.9A CN201610859340A CN106483401A CN 106483401 A CN106483401 A CN 106483401A CN 201610859340 A CN201610859340 A CN 201610859340A CN 106483401 A CN106483401 A CN 106483401A
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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Abstract
The invention provides a kind of fault zero moment determination methods based on recorder data and device, when the data of equipment monitor meets and sets definite value, start record ripple, start data to be analyzed, diagnose and stores.Determine analysis starting point first, from this point on, carry out Sudden Changing Rate calculating using three sampled value methods, difference result and threshold value are compared, the point meeting condition in a cycle has reached setting number, that is, think that this moment corresponding to point is fault zero moment.The present invention can quickly realize sign mutation point is accurately positioned on the basis of improving arithmetic speed, reducing computational load.
Description
Technical field
The present invention relates to a kind of power system automation technology field, especially relate to a kind of fault based on recorder data
Zero moment determination methods and device.
Background technology
Modern power systems integrate generating, power transformation, transmission of electricity, distribution and electricity consumption, and coverage is wide, and element various,
Complex structure.Therefore, when power system is broken down, need in time detection to the fault being occurred, selectively by fault unit
Part is quickly and automatically excised so as to damaged condition reduces to minimum from power system, and ensures rapid recovery event to greatest extent
The normal operation of barrier part, recovers the power supply of power failure part as early as possible automatically.
Accurately identify fault zero moment, for quick excision fault, the transient stability improving power system has decision
Property meaning, it can shorten failure detection time, thus reducing the fault reaction time, improve transmission system efficiency.In order to
Guarantee safe and reliable, the economical operation of power system, need substantial amounts of new and high technology, and when adopting a kind of effective fault zero
Carving determination methods is to realize the first step of above-mentioned purpose.
In prior art, conventional Fourier algorithm or wavelet technique are identified to fault zero moment, but all exist corresponding
Problem, such as Fourier transformation can only reaction signal singularity bulk property it is impossible to the defect of concrete certain point of positioning；Small echo skill
Though art enables being accurately positioned of sign mutation point, the calculation processing power requirement to processor is higher.
Content of the invention
For realizing being accurately positioned of fault zero moment, and reduce the computational load of processing unit, the invention provides a kind of
Fault zero moment determination methods based on recorder data and device.
A kind of fault zero moment determination methods based on recorder data, comprise step as follows：
Step 1, when power system has a disturbance, the data of supervision meets when setting definite value, starts record ripple, with set when
Section, sample frequency and duration preserve data, the data before wherein A, B section represents system disturbance respectively and after system disturbance, adopt
Same sample frequency sampling；
Step 2, with disturbance occur when the corresponding point of the first two cycle for analyze starting point, from this point on according to formula
Δ i (k)=[i (k)-i (k-N)]-[i (k-N)-i (k-2N)]
It is poor to carry out, and obtains difference result Δ i (k), wherein N is the sampling number of a cycle, and k is sampled value to be analyzed
Sequence number in data storage sequence；
Step 3, difference result Δ i (k) is compared with threshold value S, if difference result Δ i (k) is more than threshold value S,
The number write down this point and met the point of condition；
Step 4, if the point meeting condition in a cycle has reached setting number P, then stops calculating, thinks the simultaneously
One moment corresponding to point meeting difference result is fault zero moment.
Further, in step 1, the record duration of A section is the longest adjusted as 2 seconds.
Further, threshold value S=K*A described in step 3n, wherein K takes 0.1, AnNormal operation for voltage or electric current
Value, if S ＜ 0.05, S=0.05.
Further, set number P=N/10 described in step 4, if N ＜=24, P=N/3.
A kind of fault zero moment judgment means based on recorder data, including such as lower module：
1) it is used for there is disturbance when power system, when the data that device monitors meets setting definite value, start record ripple, with set
Period, sample frequency and duration preserve the module of data, the number before wherein A, B section represents system disturbance respectively and after system disturbance
According to using the sampling of same sample frequency；
2) be used for disturbance occurs when the corresponding point of the first two cycle for analysis starting point, from this point on according to formula
Δ i (k)=[i (k)-i (k-N)]-[i (k-N)-i (k-2N)]
It is poor to carry out, and obtains the module of difference result Δ i (k), wherein N is the sampling number of a cycle, and k is to be analyzed
Sequence number in data storage sequence for the sampled value；
3) it is used for being compared difference result Δ i (k) with threshold value S, if difference result Δ i (k) is more than threshold value S,
The module write down this point and met the number of point of condition；
4) it is used for meeting the point of condition in a cycle when having reached setting number P, then stops calculating, think the simultaneously
One moment corresponding to point meeting difference result is the module of fault zero moment.
Further, module 1) in the record duration of A section the longest adjust as 2 seconds.
Further, module 3) described in threshold value S=K*An, wherein K takes 0.1, AnNormal operation for voltage or electric current
Value, if S ＜ 0.05, S=0.05.
Further, module 4) described in set number P=N/10, if N ＜=24, P=N/3.
The invention has the advantages that：It is right quickly to realize on the basis of improving arithmetic speed, reducing computational load
Being accurately positioned of sign mutation point.
In addition the setting of the threshold value in determination methods of the present invention is not changeless, can be according to the actual electricity in scene
Stream, change in voltage situation and adaptive.
Setting number in the present invention is also dependent on the different self-adaptative adjustment of sample frequency.
Brief description
The fault zero moment determination methods flow chart that Fig. 1 provides for the present invention.
Specific embodiment
The invention provides a kind of fault zero moment determination methods based on recorder data and device, it is right quickly to realize
Being accurately positioned of sign mutation point.
The present invention will be further described in detail below in conjunction with the accompanying drawings.
As shown in figure 1, the method for the invention comprises the steps：
1) when power system has disturbance, and the data that device monitors meets setting definite value, start record ripple, preserve system disturbance
Data in front and back；
Data before and after disturbance is key data, is used uniformly across highest sample frequency；
In addition, data storage duration can be adjusted before and after disturbance, wherein before disturbance, duration is the longest is set to 2 seconds.
2) from the beginning of starting point, by the recorder data of collection according to formula
Δ i (k)=[i (k)-i (k-N)]-[i (k-N)-i (k-2N)]
It is poor that corresponding point data is carried out one by one, obtains difference result Δ i (k), wherein N is the sampling number of a cycle；
This method pushes away forward the corresponding point of two cycles for initial calculation point with system disturbance point, does not have complete calculation procedure
1) total data before the disturbance preserving in, it is possible to reduce amount of calculation, improves arithmetic speed and efficiency, additionally, pushing away forward for two weeks
Ripple, is the error considering completely when record ripple starts.Because only that when meeting setting definite value, record ripple just can be started and enters line number
According to analysis storage, and the startup definite value recording ripple is all virtual value it is impossible to be accurate to a concrete point, cannot essence when that is, record ripple starts
Really navigate to fault moment, push away forward two cycles, can accurately find out fault starting point.
3) by step 2) in difference result Δ i (k) that obtains be compared with threshold value S, if difference result Δ i (k) is big
In threshold value S, the then number write down this point and met the point of condition；
4) if the point meeting condition in a cycle has reached setting number P, then stop calculating, no longer in this cycle
Remaining sampled point carries out making difference comparing, when to think first moment corresponding to point meeting difference result be fault zero simultaneously
Carve；
If after in a cycle, all sampled points are fully completed and make to differ from relatively, the number meeting condition is not reaching to set
Number P, then reset the number meeting condition of interim for this week record, be moved rearwards by half period from analysis starting point, from step
Rapid 2) proceed analysis and judge.
The cycle adopting in this method is a cycle.
The method of the invention is analyzed to raw channel data, divides without calculating related sequence by initial data again
Amount or power are analyzed；The selection of data analysiss starting point comprises disturbance and starts point nearby, enters without to total data before disturbance
Row calculates；Meet the point of condition number reach setting value i.e. stop calculate.These methods all greatly reduce operand, improve
Arithmetic speed, can quick, efficiently, accurately find out fault zero moment.
In addition, described threshold value S=K*An, wherein K takes 0.1, AnCan be the normal operating value of voltage or electric current, if S
＜ 0.05, then S=0.05.The setting of threshold value is not a fixed value, can be according to the actual curtage change feelings in scene
Condition and adaptive adjustment.
Described setting number is not changeless, can be according to sample frequency adaptive change, such as：P=can be adopted
N/10, if N ＜=24, P=N/3.
Present invention also offers a kind of fault zero moment judgment means based on recorder data, including such as lower module：
1) it is used for there is disturbance when power system, when the data that device monitors meets setting definite value, start record ripple, with set
Period, sample frequency and duration preserve the module of data, and the data wherein before system disturbance and after system disturbance is key data,
It is used uniformly across highest sample frequency；
2) be used for disturbance occurs when the corresponding point of the first two cycle for analysis starting point, from this point on according to formula
Δ i (k)=[i (k)-i (k-N)]-[i (k-N)-i (k-2N)]
It is poor to carry out, and obtains the module of difference result Δ i (k), wherein N is the sampling number of a cycle；
3) it is used for being compared difference result Δ i (k) with threshold value S, if difference result Δ i (k) is more than threshold value S,
The module write down this point and met the number of point of condition；
4) it is used for meeting the point of condition in a cycle when having reached setting number P, then stops calculating, think the simultaneously
One moment corresponding to point meeting difference result is fault zero moment, if the number meeting condition is not reaching to setting
Number P, then move half period according to module 2 backward) in formula proceed to make the module of difference judgement.
Device of the present invention, is actually based on a kind of computer solution of said method flow process, that is, a kind of soft
Part component, module described in device is corresponded with steps flow chart in method.Due to clear enough to the introduction of said method
Chu is complete, therefore the embodiment of apparatus of the present invention is repeated no more.
Specific embodiment described herein is only explanation for example to present invention spirit.Technology for this area
Personnel, every thought according to the present invention, the present invention is modified or equivalent, in specific embodiment and application model
Place any change done, should be included within the scope of the present invention.
Claims (8)
1. a kind of fault zero moment determination methods based on recorder data it is characterised in that the method to comprise step as follows：
Step 1, when power system has disturbance, and the data of supervision meets setting definite value, starts record ripple, with the period of setting, adopts
Sample frequency and duration preserve data, the data before wherein A, B section represents system disturbance respectively and after system disturbance, are adopted using same
Sample frequency sampling；
Step 2, with disturbance occur when the corresponding point of the first two cycle for analyze starting point, from this point on according to formula
Δ i (k)=[i (k)-i (k-N)]-[i (k-N)-i (k-2N)]
It is poor to carry out, and obtains difference result Δ i (k), wherein N is the sampling number of a cycle, and k is depositing for sampled value to be analyzed
Sequence number in storage data sequence；
Step 3, difference result Δ i (k) is compared with threshold value S, if difference result Δ i (k) is more than threshold value S, writes down
This puts the number with the point having met condition；
Step 4, if the point meeting condition in a cycle has reached setting number P, then stops calculating, thinks first simultaneously
The moment corresponding to point meeting difference result is fault zero moment.
2. a kind of fault zero moment determination methods based on recorder data according to claim 1 are it is characterised in that step
In 1, the record duration of A section is the longest adjusted as 2 seconds.
3. a kind of fault zero moment determination methods based on recorder data according to claim 1 are it is characterised in that step
Threshold value S=K*A described in 3n, wherein K takes 0.1, AnNormal operating value for voltage or electric current；If S ＜ 0.05, S=
0.05.
4. a kind of fault zero moment determination methods based on recorder data according to claim 1 are it is characterised in that step
Number P=N/10 is set described in 4；If N ＜=24, P=N/3.
5. a kind of fault zero moment judgment means based on recorder data are it is characterised in that include as lower module：
1) when power system has disturbance, and the data of supervision meets setting definite value, start record ripple, with the period of setting, sampling frequently
Rate and duration preserve data, and the data before wherein A, B section represents system disturbance respectively and after system disturbance, using same sampling frequency
Rate is sampled；
2) be used for disturbance occurs when the corresponding point of the first two cycle for analysis starting point, from this point on according to formula
Δ i (k)=[i (k)-i (k-N)]-[i (k-N)-i (k-2N)]
It is poor to carry out, and obtains the module of difference result Δ i (k), wherein N is the sampling number of a cycle, and k is sampling to be analyzed
Sequence number in data storage sequence for the value；
3) it is used for being compared difference result Δ i (k) with threshold value S, if difference result Δ i (k) is more than threshold value S, write down
This puts the module with the number of point having met condition；
4) when the point for meeting condition in a cycle has reached setting number P, then stop calculating, think first simultaneously
The moment corresponding to point meeting difference result is the module of fault zero moment.
6. a kind of fault zero moment judgment means based on recorder data according to claim 5 are it is characterised in that module
1) in, the record duration of A section is the longest adjusted as 2 seconds.
7. a kind of fault zero moment judgment means based on recorder data according to claim 5 are it is characterised in that module
3) threshold value S=K*A described inn, wherein K takes 0.1, AnNormal operating value for voltage or electric current；If S ＜ 0.05, S=
0.05.
8. a kind of fault zero moment judgment means based on recorder data according to claim 5 are it is characterised in that module
4) set number P=N/10 described in；If N ＜=24, P=N/3.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109557417A (en) * | 2018-12-12 | 2019-04-02 | 国电南瑞科技股份有限公司 | A kind of transmission line of electricity distribution traveling wave diagnosis starting method and system |
| CN110687399A (en) * | 2019-10-15 | 2020-01-14 | 贵州电网有限责任公司 | Method for judging waveform fault starting time of power distribution network fault indicator |
| CN111458598A (en) * | 2020-02-18 | 2020-07-28 | 南京国电南自电网自动化有限公司 | Method for aligning multiple homologous recording waveforms of asynchronous sampling |
| CN111880020A (en) * | 2020-04-27 | 2020-11-03 | 深圳华工能源技术有限公司 | Fault recording data generation method and device for power distribution and utilization system of power consumer |
| CN112462172A (en) * | 2020-11-11 | 2021-03-09 | 国网四川省电力公司电力科学研究院 | Electric energy quality event wave recording method adaptive to sampling rate |
| CN116760846A (en) * | 2023-08-21 | 2023-09-15 | 国网山东省电力公司日照供电公司 | Double-end fault recording data synchronization method and system based on first zero crossing point identification |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1976153A (en) * | 2006-12-22 | 2007-06-06 | 北京四方继保自动化股份有限公司 | Fault information organizing method in electric network fault information system |
| US7552367B2 (en) * | 2004-08-03 | 2009-06-23 | General Electric Company | Fault recording and sequence of events recording device capable of recording communication-based signals related to electrical power systems |
| CN103123389A (en) * | 2011-11-21 | 2013-05-29 | 甘肃省电力公司定西供电公司 | Method for verifying polarity of zero-sequence current transformer |
| CN103728536A (en) * | 2013-12-11 | 2014-04-16 | 国家电网公司 | Multi-source data grid fault identification method |
| CN104267281A (en) * | 2014-09-25 | 2015-01-07 | 国家电网公司 | Method for monitoring state of distributed low-voltage distribution network and compressing data |
| CN104317203A (en) * | 2014-09-28 | 2015-01-28 | 南方电网科学研究院有限责任公司 | Fault information overall process simulation method |
| CN104422853A (en) * | 2013-08-30 | 2015-03-18 | 海南电力技术研究院 | Transmission line power frequency failure current identification method |
-
2016
- 2016-09-28 CN CN201610859340.9A patent/CN106483401B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7552367B2 (en) * | 2004-08-03 | 2009-06-23 | General Electric Company | Fault recording and sequence of events recording device capable of recording communication-based signals related to electrical power systems |
| CN1976153A (en) * | 2006-12-22 | 2007-06-06 | 北京四方继保自动化股份有限公司 | Fault information organizing method in electric network fault information system |
| CN103123389A (en) * | 2011-11-21 | 2013-05-29 | 甘肃省电力公司定西供电公司 | Method for verifying polarity of zero-sequence current transformer |
| CN104422853A (en) * | 2013-08-30 | 2015-03-18 | 海南电力技术研究院 | Transmission line power frequency failure current identification method |
| CN103728536A (en) * | 2013-12-11 | 2014-04-16 | 国家电网公司 | Multi-source data grid fault identification method |
| CN104267281A (en) * | 2014-09-25 | 2015-01-07 | 国家电网公司 | Method for monitoring state of distributed low-voltage distribution network and compressing data |
| CN104317203A (en) * | 2014-09-28 | 2015-01-28 | 南方电网科学研究院有限责任公司 | Fault information overall process simulation method |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109557417A (en) * | 2018-12-12 | 2019-04-02 | 国电南瑞科技股份有限公司 | A kind of transmission line of electricity distribution traveling wave diagnosis starting method and system |
| CN109557417B (en) * | 2018-12-12 | 2020-09-25 | 国电南瑞科技股份有限公司 | Distributed traveling wave diagnosis starting method and system for power transmission line |
| CN110687399A (en) * | 2019-10-15 | 2020-01-14 | 贵州电网有限责任公司 | Method for judging waveform fault starting time of power distribution network fault indicator |
| CN111458598A (en) * | 2020-02-18 | 2020-07-28 | 南京国电南自电网自动化有限公司 | Method for aligning multiple homologous recording waveforms of asynchronous sampling |
| CN111458598B (en) * | 2020-02-18 | 2022-05-24 | 南京国电南自电网自动化有限公司 | Method for aligning multiple homologous recording waveforms of asynchronous sampling |
| CN111880020A (en) * | 2020-04-27 | 2020-11-03 | 深圳华工能源技术有限公司 | Fault recording data generation method and device for power distribution and utilization system of power consumer |
| CN112462172A (en) * | 2020-11-11 | 2021-03-09 | 国网四川省电力公司电力科学研究院 | Electric energy quality event wave recording method adaptive to sampling rate |
| CN112462172B (en) * | 2020-11-11 | 2023-06-13 | 国网四川省电力公司电力科学研究院 | Power quality event wave recording method with self-adaptive sampling rate |
| CN116760846A (en) * | 2023-08-21 | 2023-09-15 | 国网山东省电力公司日照供电公司 | Double-end fault recording data synchronization method and system based on first zero crossing point identification |
| CN116760846B (en) * | 2023-08-21 | 2023-11-14 | 国网山东省电力公司日照供电公司 | Double-end fault recording data synchronization method and system based on first zero crossing point identification |
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