CN108469585A - A kind of intelligent substation relay protection method for safe operation - Google Patents
A kind of intelligent substation relay protection method for safe operation Download PDFInfo
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- CN108469585A CN108469585A CN201810233576.0A CN201810233576A CN108469585A CN 108469585 A CN108469585 A CN 108469585A CN 201810233576 A CN201810233576 A CN 201810233576A CN 108469585 A CN108469585 A CN 108469585A
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- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
- G01R31/3277—Testing of circuit interrupters, switches or circuit-breakers of low voltage devices, e.g. domestic or industrial devices, such as motor protections, relays, rotation switches
- G01R31/3278—Testing of circuit interrupters, switches or circuit-breakers of low voltage devices, e.g. domestic or industrial devices, such as motor protections, relays, rotation switches of relays, solenoids or reed switches
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
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Abstract
The invention discloses a kind of intelligent substation relay protection method for safe operation, the present invention can be generated the debugging configuration file of protective relaying device to be debugged based on substation's SCD file and fault waveform data intelligence, avoid repetition manual configuration；The present invention uses data compressing module; front and back waveform Differential Compression algorithm based on wave period characteristic; have the characteristics that low-power consumption, calculation amount are small, compression factor is high; there is preferable Wave data compression effectiveness, the manufacturing cost for reducing relay protection fault recording and playback system by a relatively large margin；The present invention is respectively from the fault waveform data of a period of time before and after extraction fault moment in each failure wave-recording file, as unit of primary equipment element, the calculating of the fault characteristic value of each primary equipment element is carried out, intermediate data is formed, overcomes the limitation of failure wave-recording file itself；The present invention generates the relay protected operation file to match according to debugging configuration file and protective relaying device to be debugged; it is installed to protective relaying device to be debugged by relay protected operation file; prepackage debugging is carried out to protective relaying device to be debugged; it is identical with prediction result in test result, determine that protective relaying device performance to be debugged is normal.
Description
Technical field
The present invention relates to relay protection fields, and in particular to a kind of intelligent substation relay protection method for safe operation.
Background technology
With the gradually mature of intelligent substation technology, intelligent substation is also gradually routinized by pilot steering and is answered
With.Protective relaying device in intelligent substation using the conventional analog quantity voltage of IEC61850-9-2 sampling value messages substitution,
The input of current signal, with GOOSE message instead of the input and output of the hard contact of conventional telecommunications number.The mode of message interaction is realized
Digital collection, the networking service system of smart machine information, while improving the interoperability between smart machine.
But in the related technology, site protective relaying device installation and debugging presence for example, quick-action, system stability and
Reliability reduction, high failure rate, field adjustable and maintenance complexity, peace are adjusted and power off time length, abnormal maintenance later are replaced and debugged
The problems such as process is complicated cumbersome, seriously affects the work of relay protection O＆M service personnel.With the continuous development of power industry,
The Commissioning of Relay Protection device type that the country uses at present is various, but since the performance of Commissioning of Relay Protection device itself is direct
The evaluation to protective relaying device is affected, therefore the working performance of debugging apparatus and stability are particularly important.
Failure wave-recording is when electric system is broken down, automatically, the accurately record electricity system failure forward and backward process
The situation of change of various electrical quantity (main number amount, such as on off state variation, analog quantity, mainly voltage, current values),
By the analysis of these electrical quantity, compare, to analyzing processing accident, judges whether protection correctly acts, improves electric system peace
The effect of full operation level.
Fault waveform data are high-speed samplings, and comprehensive analysis is carried out just to clock to the Wave data that different device generates
Precision proposes very high requirement, and obstacle is caused to the analysis for carrying out profound.
Invention content
The present invention provides a kind of intelligent substation relay protection method for safe operation, and the present invention can be based on substation SCD
File and fault waveform data intelligence generate the debugging configuration file of protective relaying device to be debugged, avoid repetition and match by hand
It sets；The present invention uses data compressing module, the front and back waveform Differential Compression algorithm based on wave period characteristic to have low work(
Consumption, the feature that calculation amount is small, compression factor is high, have preferable Wave data compression effectiveness, reduction relay protection by a relatively large margin
Failure is recorded and the manufacturing cost of playback system；The present invention is respectively one before and after extracting fault moment in each failure wave-recording file
The fault waveform data of section time carry out the meter of the fault characteristic value of each primary equipment element as unit of primary equipment element
It calculates, forms intermediate data, overcome the limitation of failure wave-recording file itself；The present invention according to debugging configuration file and it is to be debugged after
Electrical protective device generates the relay protected operation file to match, is protected installing relay protected operation file to relay to be debugged
After protection unit, prepackage debugging is carried out to protective relaying device to be debugged, it is identical with prediction result in test result,
Determine that protective relaying device performance to be debugged is normal.
To achieve the above object, a kind of intelligent substation relay protection method for safe operation of the invention, the method packet
Include following steps：
S1. protective relaying device waveform is detected, and is converted to Wave data；
S2. the Wave data is compressed；
S3. the Wave data is analyzed, fault waveform data are obtained；
S4. it generates Commissioning of Relay Protection device and prepares file；
S5. the relay protected operation file to match is generated according to debugging configuration file and protective relaying device to be debugged,
It is installed to protective relaying device to be debugged by relay protected operation file, protective relaying device to be debugged is pre-installed
Debugging, it is identical with prediction result in test result, determine that protective relaying device performance to be debugged is normal.
Preferably, the step S4 specifically comprises the following steps：
S41. the SCD file of substation where importing protective relaying device to be debugged；
S42. it parses and extracts all IED equipment of whole station and show；
S43. the empty link information for being tested protective device in SCD file, including the GOOSE of the protective device is combined to export mould
Type information, the combining unit being connected with the device and intelligent terminal model information and fault waveform data, intelligence generate new
Configuration file and preserve configuration file.
Preferably, in S43, detailed process is as follows：According to the combining unit model being connected with the device in SCD file
Information and existing SV configurations intelligently generate the SV configurations for the protective device to be debugged chosen；According in SCD file with the device
The intelligent terminal model information being connected and existing GOOSE subscribe to configuration, intelligently generate the protective device to be measured chosen
GOOSE subscribes to configuration；According to the apparatus GOOSE output model information in SCD file and existing GOOSE publication configurations, intelligence
Generate the GOOSE publication configurations for the protective device to be measured chosen.
Preferably, the step S2 specifically comprises the following steps：
S21. the compressed electric current of extraction, voltage signal have periodic feature, allow to include interference signal；Described
Electric current, voltage signal will produce the difference in front and back period in compression process；
S22. the electric current of step S21, Wave data of the voltage signal on entire time shaft are encapsulated as according to periodical
Multiple independent data cells, each data cell configuration data head；
S23. compression process obtains optimal compression factor in such a way that a variety of subalgorithms are tested successively.
Specifically, data compressing module carries out data compression using following algorithm：
It will be a certain in the latter waveform in such a way that front and back waveform subtracts each other for the waveform of fault detector admission
A data point subtracts the corresponding same data point of previous waveform, and to obtain smaller differential data, this differential data is logical
Cross whether highest order is 1 positive and negative to distinguish.
Wave data on time shaft is divided into multiple subdata units according to its cycle time, each subdata unit is first
In the way of front and back waveform difference, the difference of current form and previous waveform is obtained, and difference is subjected to bit wide compression.
During waveform difference before and after progress, each data cell is reduced to the difference compared to previous waveform
It indicates；The maximum deviation amount of acquisition waveforms difference, record maximum deviation amount digit carry out bit wide compression, difference as benchmark
Maximum number of digits includes indicating positive and negative sign bit.
Difference reference waveform for first waveform as waveform subsequent, using two kinds of compression algorithms, a kind of is traditional
Bit wide compression algorithm, a kind of bit wide compression algorithm for tape symbol, two kinds of algorithms respectively count the data word joint number after having compressed, choosing
Access is according to the minimum compress mode as first waveform of byte number.
Preferably, maximum pressure is reached by the optimal selection to subalgorithm using the combination of multiple already present subalgorithms
Contracting ratio.
Preferably, to the sampling precision of Current Voltage according to 12 bit AD samples, every group of waveform includes 960 sampled points, altogether
12 waveforms, the first step are that 12 waveforms are divided into 12 data cells, and each data cell increases data head, each data sheet
One point data bit wide and institute's compressed data sampling number after compression type, compression are had in member；
Second step is compressed to the first waveform in 12 waveforms：Two kinds of compress modes, bit wide are selected in compression
Compression and front and back Differential Compression, when carrying out bit wide compression, using the compress mode of 12Bit, compression factor 1/4；Into
Before and after row when sampled point Differential Compression, using difference value maximum value bit wide plus sign bit as with reference to bit wide；Compare two kinds of compressions
Mode selects compress mode of the compression algorithm of bit wide minimum after compressing as first waveform.
Third step is n-th of the waveform taken in follow-up 11 waveforms, if sampled data points are expressed as P in waveformN, i, n=
[2,3 .., 12], i=[1,2 .., 80], then for waveform WnIt can be expressed as Wn={ PN, i, i=[1,2 .., 80]；According to
Wherein n=[2,3 .., 11], i=[1,2 .., 80]；
Then all-wave graphic data can do following equivalence：
If compressed Wave data unit bit wide is less than or equal to 12, n=n+1 is executed, repetition third step is returned to and holds
Row；If compressed bit wide is more than 12, the 4th following steps is executed；
4th step then uses front and back sampled point Differential Compression in the case of front and back waveform Differential Compression algorithm is non-optimal
Algorithm, for waveform element Wn, n=[2,3 .., 12], PnIt can do following equivalent
When compressed Wave data unit bit wide is less than or equal to 12, then n=n+1 is executed, repeats third step；Work as pressure
Bit wide after contracting is more than 12, then executes the 5th following steps；
5th step then uses 12Bit bit wides compression side in the case of front and back sampled point Differential Compression algorithm is non-optimal
Formula executes n=n+1, returns to repetition third step and executes.
Technical scheme of the present invention has the following advantages that：
(1) present invention can be based on substation's SCD file and fault waveform data intelligence generates relay protection dress to be debugged
The debugging configuration file set, avoids repetition manual configuration；
(2) present invention uses data compressing module, the front and back waveform Differential Compression algorithm based on wave period characteristic, tool
Have the characteristics that low-power consumption, calculation amount are small, compression factor is high, there is preferable Wave data compression effectiveness, reduction by a relatively large margin after
Electric protection failure is recorded and the manufacturing cost of playback system.
(3) present invention generates the relay protected operation to match according to debugging configuration file and protective relaying device to be debugged
File is installed by relay protected operation file to protective relaying device to be debugged, to protective relaying device to be debugged into
Row prepackage debugging, it is identical with prediction result in test result, determine that protective relaying device performance to be debugged is normal.
Description of the drawings
Fig. 1 shows a kind of block diagram of handheld-type intelligent substation relay protection debugging apparatus of the present invention；
Fig. 2 shows a kind of intelligent substation relay protection method for safe operation of the present invention.
Specific implementation mode
Fig. 1 shows that a kind of handheld-type intelligent substation relay protection debugging apparatus of the present invention, the system include intelligence
Detector 1 and analysis and debugging system 2；
The intelligent detecting instrument 1 includes：
Detection module 11, the shape information for obtaining protective relaying device in real time；
Data conversion module 12, for shape information to be converted into Wave data in real time；
Data compressing module 13, for compressing Wave data；
Detection data sending module 15, for network by radio communication by compressed Wave data be sent to analysis and
Debugging system；
Terminal control module 14, and for each module work in intelligent detecting instrument；
The analysis and debugging system 2 include：
Detection data receiving module 21, the Wave data sended over for receiving intelligent terminal；
Detection data analysis module 22 obtains fault waveform data for analyzing the Wave data；
Playback module 23 is shown, for playing back fault waveform data；
Configuration file generation module 24 generates relay for the SCD file according to fault waveform data and place substation
File is prepared in the debugging of protective device；
Middle control module 25 controls entire relay protection fault playback system for coordinating.
Data compressing module 13 includes：
Periodic feature extraction unit, for extracting compressed electric current, voltage signal have periodic feature, allow
Including interference signal, the electric current, voltage signal will produce the difference in front and back period in compression process；
Data packaging unit, by the Wave data of the electric current, voltage signal on entire time shaft according to periodic characteristic
It is encapsulated as multiple independent data cells, each data cell configuration data head.
Preferably, data compressing module 13 obtains optimal in compression process in such a way that a variety of subalgorithms are tested successively
Compression factor.
Specifically, data compressing module 13 carries out data compression using following algorithm：
It will be a certain in the latter waveform in such a way that front and back waveform subtracts each other for the waveform of fault detector admission
A data point subtracts the corresponding same data point of previous waveform, and to obtain smaller differential data, this differential data is logical
Cross whether highest order is 1 positive and negative to distinguish.
Wave data on time shaft is divided into multiple subdata units according to its cycle time, each subdata unit is first
In the way of front and back waveform difference, the difference of current form and previous waveform is obtained, and difference is subjected to bit wide compression.
During waveform difference before and after progress, each data cell is reduced to the difference compared to previous waveform
It indicates；The maximum deviation amount of acquisition waveforms difference, record maximum deviation amount digit carry out bit wide compression, difference as benchmark
Maximum number of digits includes indicating positive and negative sign bit.
Difference reference waveform for first waveform as waveform subsequent, using two kinds of compression algorithms, a kind of is traditional
Bit wide compression algorithm, a kind of bit wide compression algorithm for tape symbol, two kinds of algorithms respectively count the data word joint number after having compressed, choosing
Access is according to the minimum compress mode as first waveform of byte number.
Preferably, maximum pressure is reached by the optimal selection to subalgorithm using the combination of multiple already present subalgorithms
Contracting ratio.
The detection data analysis module 22 includes：
Primary equipment model foundation unit establishes primary equipment model for being based on fault waveform data；
Analysis model foundation unit, for carrying out the recording channel in primary equipment model and failure wave-recording file
Association, obtains analysis model；
Data extracting unit, the fault waveform data for a period of time before and after extracting fault moment in Wave data；
Fault characteristic value computing unit, for according to the fault wave figurate number in a period of time before and after the fault moment extracted
According to calculating the fault characteristic value of each primary equipment element；
Storage unit is used for storing analysis model and fault characteristic value for fault diagnosis and crash analysis.
Preferably, the detection data analysis module 22 further includes：
Waveform alignment unit, for when failure occurs, finding the catastrophe point by traversing Wave data, carrying out multiple faults
The waveform of Wave data is aligned.
Preferably, fault characteristic value computing unit is specifically used for：
To in a period of time after failure before failure, a point is taken at interval of 10ms, according to the fault waveform data of the point,
Calculate the corresponding effective value of each primary equipment before and after the failure of the point, 5-15 subharmonic values, DC component and time
Attenuation constant, order components, poor flow valuve, route survey impedance, frequecy characteristic amount, fault localization characteristic quantity, protection act characteristic quantity
With breaker actuation characteristic quantity；
Then in time range, a point is taken at interval of 10ms, according to the failure of the point to after overlapping in Reclosing Instant
Recorder data calculates the corresponding effective value of each primary equipment before and after the failure of the point, 5-15 subharmonic values, direct current minute
Amount and time attenuation constant, poor flow valuve, route survey impedance, frequecy characteristic amount, fault localization characteristic quantity, are protected and are moved order components
Make characteristic quantity and breaker actuation characteristic quantity.
Fig. 2 shows a kind of intelligent substation relay protection method for safe operation of the present invention, and the method includes following
Step：
S1. protective relaying device waveform is detected, and is converted to Wave data；
S2. the Wave data is compressed；
S3. the Wave data is analyzed, fault waveform data are obtained；
S4. it generates protective relaying device debugging and prepares file；
S5. the relay protected operation file to match is generated according to debugging configuration file and protective relaying device to be debugged,
It is installed to protective relaying device to be debugged by relay protected operation file, protective relaying device to be debugged is pre-installed
Debugging, it is identical with prediction result in test result, determine that protective relaying device performance to be debugged is normal.
Preferably, the step S4 specifically comprises the following steps：
S41. the SCD file of substation where importing protective relaying device to be debugged；
S42. it parses and extracts all IED equipment of whole station and show；
S43. the empty link information for being tested protective device in SCD file, including the GOOSE of the protective device is combined to export mould
Type information, the combining unit being connected with the device and intelligent terminal model information and fault waveform data, intelligence generate new
Configuration file and preserve configuration file.
Preferably, in S43, detailed process is as follows：According to the combining unit model being connected with the device in SCD file
Information and existing SV configurations intelligently generate the SV configurations for the protective device to be debugged chosen；According in SCD file with the device
The intelligent terminal model information being connected and existing GOOSE subscribe to configuration, intelligently generate the protective device to be measured chosen
GOOSE subscribes to configuration；According to the apparatus GOOSE output model information in SCD file and existing GOOSE publication configurations, intelligence
Generate the GOOSE publication configurations for the protective device to be measured chosen.
Preferably, the step S2 specifically comprises the following steps：
S21. the compressed electric current of extraction, voltage signal have periodic feature, allow to include interference signal；Described
Electric current, voltage signal will produce the difference in front and back period in compression process；
S22. the electric current of step S21, Wave data of the voltage signal on entire time shaft are encapsulated as according to periodical
Multiple independent data cells, each data cell configuration data head；
S23. compression process obtains optimal compression factor in such a way that a variety of subalgorithms are tested successively.
Specifically, data compressing module 13 carries out data compression using following algorithm：
It will be a certain in the latter waveform in such a way that front and back waveform subtracts each other for the waveform of fault detector admission
A data point subtracts the corresponding same data point of previous waveform, and to obtain smaller differential data, this differential data is logical
Cross whether highest order is 1 positive and negative to distinguish.
Wave data on time shaft is divided into multiple subdata units according to its cycle time, each subdata unit is first
In the way of front and back waveform difference, the difference of current form and previous waveform is obtained, and difference is subjected to bit wide compression.
During waveform difference before and after progress, each data cell is reduced to the difference compared to previous waveform
It indicates；The maximum deviation amount of acquisition waveforms difference, record maximum deviation amount digit carry out bit wide compression, difference as benchmark
Maximum number of digits includes indicating positive and negative sign bit.
Difference reference waveform for first waveform as waveform subsequent, using two kinds of compression algorithms, a kind of is traditional
Bit wide compression algorithm, a kind of bit wide compression algorithm for tape symbol, two kinds of algorithms respectively count the data word joint number after having compressed, choosing
Access is according to the minimum compress mode as first waveform of byte number.
Preferably, maximum pressure is reached by the optimal selection to subalgorithm using the combination of multiple already present subalgorithms
Contracting ratio.
Preferably, to the sampling precision of Current Voltage according to 12 bit AD samples, every group of waveform includes 960 sampled points, altogether
12 waveforms, the first step are that 12 waveforms are divided into 12 data cells, and each data cell increases data head, each data sheet
One point data bit wide and institute's compressed data sampling number after compression type, compression are had in member；
Second step is compressed to the first waveform in 12 waveforms：Two kinds of compress modes, bit wide are selected in compression
Compression and front and back Differential Compression, when carrying out bit wide compression, using the compress mode of 12Bit, compression factor 1/4；Into
Before and after row when sampled point Differential Compression, using difference value maximum value bit wide plus sign bit as with reference to bit wide；Compare two kinds of compressions
Mode selects compress mode of the compression algorithm of bit wide minimum after compressing as first waveform.
Third step is n-th of the waveform taken in follow-up 11 waveforms, if sampled data points are expressed as P in waveformN, i, n=
[2,3 .., 12], i=[1,2 .., 80], then for waveform WnIt can be expressed as Wn={ PN, i, i=[1,2 .., 80]；According to
Wherein n=[2,3 .., 11], i=[1,2 .., 80]；
Then all-wave graphic data can do following equivalence：
If compressed Wave data unit bit wide is less than or equal to 12, n=n+1 is executed, repetition third step is returned to and holds
Row；If compressed bit wide is more than 12, the 4th following steps is executed；
4th step then uses front and back sampled point Differential Compression in the case of front and back waveform Differential Compression algorithm is non-optimal
Algorithm, for waveform element Wn, n=[2,3 .., 12], PnIt can do following equivalent
When compressed Wave data unit bit wide is less than or equal to 12, then n=n+1 is executed, repeats third step；Work as pressure
Bit wide after contracting is more than 12, then executes the 5th following steps；
5th step then uses 12Bit bit wides compression side in the case of front and back sampled point Differential Compression algorithm is non-optimal
Formula executes n=n+1, returns to repetition third step and executes.
Preferably, the step S3 specifically comprises the following steps：
S31. it is based on Wave data, establishes electric system primary equipment model, by primary equipment model and failure wave-recording text
Recording channel in part is associated, and obtains analysis model；
S32. the fault waveform data before and after extraction fault moment in a period of time, calculate the failure of each primary equipment element
Characteristic quantity；
S33. analysis model and fault characteristic value are stored in database, are used for fault diagnosis and crash analysis.
Preferably, in the step S31, fault waveform data is based on, electric system primary equipment model is established, it will be primary
The recording channel of device model and intelligent detecting instrument is associated, and obtains analysis model, including：
S311. the Wave data based on each failure establishes electric system primary equipment model；
S322. increase corresponding multiple analog quantity channels number and multiple switch in each Wave data in primary equipment model
The channel number in channel is measured, analysis model is formed.
Preferably, the analysis model includes bus model, model of power transmission system, transformer model, breaker mould
Type and protective device model；
Wherein, the bus model includes busbar title, busbar number, voltage class, relevant protective device number, phase
The voltage channel number in Wave data is numbered and corresponded to the breaker apparatus of pass；
The model of power transmission system include line name, circuit number, voltage class, line impedance parameter, line length,
Current channel number in relevant protective device number, relevant breaker apparatus number, corresponding Wave data；
The transformer model include transformer name, transformer number, two or three side transformer volumes, relevant protection fill
Set number；
The breaker model includes switching value channel number and the affiliated signal type of switching value in corresponding fault waveform data；
The protective device model includes switching value channel number and the affiliated class signal of switching value in corresponding fault waveform data
Type.
Preferably, after obtaining analysis model, when failure occurs, current break is obtained by traversing Wave data
Point, the waveform that multiple faults Wave data is carried out according to current break point are aligned.
Preferably, the fault characteristic value includes effective value, 5-15 subharmonic values, DC component before and after failure
And time attenuation constant, order components, poor flow valuve, route survey impedance, frequecy characteristic amount, fault localization characteristic quantity, protection act
Characteristic quantity, breaker actuation characteristic quantity and Wave data；Primary equipment element includes busbar, transmission line of electricity, transformer and open circuit
Device.
Preferably, the fault waveform data before and after extraction fault moment in a period of time calculate each primary equipment element event
The front and back effective value of barrier, 5-15 subharmonic values, DC component and time attenuation constant, order components, poor flow valuve, circuit are surveyed
Impedance, frequecy characteristic amount, fault localization characteristic quantity, protection act characteristic quantity and breaker actuation characteristic quantity are measured, including：
The fault waveform data of a period of time before and after extracting fault moment in each failure wave-recording file；
To in a period of time after failure before failure, a point is taken at interval of 10ms, according to the fault waveform data of the point,
Calculating the corresponding effective value of each primary equipment before and after the point failure, 5-15 subharmonic values, DC component and time declines
Subtract constant, order components, poor flow valuve, route survey impedance, frequecy characteristic amount, fault localization characteristic quantity, protection act characteristic quantity and
Breaker actuation characteristic quantity；
In time range, a point is taken at interval of 10ms, according to the fault waveform of the point to after overlapping in Reclosing Instant
It is timely to calculate the corresponding effective value of each primary equipment before and after the point failure, 5-15 subharmonic values, DC component for data
Between attenuation constant, order components, poor flow valuve, route survey impedance, frequecy characteristic amount, fault localization characteristic quantity, protection act feature
Amount and breaker actuation characteristic quantity.
Preferably, the fault waveform data before and after extraction fault moment in a period of time calculate each primary equipment element event
The front and back Wave data of barrier, including：
The corresponding three-phase of Wave data, circuit of the corresponding three-phase voltage of busbar is extracted from each failure wave-recording file respectively
The Wave data of each side of the Wave data of voltage and three-phase current, transformer and neutral point corresponding three-phase voltage and three-phase current
And the Wave data of the corresponding three-phase current of breaker；
The Wave data extracted is subjected to unified normalized, and calculates 3 cycles before each primary equipment element fault
10 weeks waveform datas are once worth after 10 weeks waveform datas and reclosing after Wave data, failure；
According to 10 weeks after 3 weeks waveform datas, failures before each primary equipment element fault of COMTRADE stored in file format
10 weeks waveform datas are once worth after waveform data and reclosing.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
The specific implementation of the present invention is confined to these explanations.For those of ordinary skill in the art to which the present invention belongs, exist
Under the premise of not departing from present inventive concept, several equivalent substitute or obvious modifications is made, and performance or use is identical, all should
It is considered as belonging to protection scope of the present invention.
Claims (7)
1. a kind of intelligent substation relay protection method for safe operation, the described method comprises the following steps：
S1. protective relaying device waveform is detected, and is converted to Wave data；
S2. the Wave data is compressed；
S3. the Wave data is analyzed, fault waveform data are obtained；
S4. it generates Commissioning of Relay Protection device and prepares file；
S5. the relay protected operation file to match is generated according to debugging configuration file and protective relaying device to be debugged, incited somebody to action
Relay protected operation file is installed to protective relaying device to be debugged, and pre- adjustment is carried out to protective relaying device to be debugged
Examination, it is identical with prediction result in test result, determine that protective relaying device performance to be debugged is normal.
2. the method as described in claim 1, which is characterized in that the step S4 specifically comprises the following steps：
S41. the SCD file of substation where importing protective relaying device to be debugged；
S42. it parses and extracts all IED equipment of whole station and show；
S43. the empty link information for being tested protective device in SCD file is combined, the GOOSE output models letter of the protective device is included
Breath, the combining unit being connected with the device and intelligent terminal model information and fault waveform data, intelligence generate new match
It sets file and preserves configuration file.
3. method as claimed in claim 2, which is characterized in that in S43, detailed process is as follows：According in SCD file with should
The combining unit model information and existing SV configurations, the SV for intelligently generating the protective device to be debugged chosen that device is connected are matched
It sets；Configuration is subscribed to according to the intelligent terminal model information being connected with the device in SCD file and existing GOOSE, intelligence is raw
Configuration is subscribed at the GOOSE for the protective device to be measured chosen；According to the apparatus GOOSE output model information in SCD file and
Have GOOSE publication configurations, intelligently generates the GOOSE publication configurations for the protective device to be measured chosen.
4. method as described in any one of claims 1-3, which is characterized in that the step S2 specifically comprises the following steps：
S21. the compressed electric current of extraction, voltage signal have periodic feature, allow to include interference signal；The electricity
Stream, voltage signal will produce the difference in front and back period in compression process；
S22. the electric current of step S21, Wave data of the voltage signal on entire time shaft is multiple according to being periodically encapsulated as
Independent data cell, each data cell configuration data head；
S23. compression process obtains optimal compression factor in such a way that a variety of subalgorithms are tested successively.
5. method as claimed in claim 4, which is characterized in that data compressing module carries out data compression using following algorithm：
For the waveform of fault detector admission, in such a way that front and back waveform subtracts each other, by a certain number in the latter waveform
Strong point subtracts the corresponding same data point of previous waveform, and to obtain smaller differential data, this differential data passes through most
Whether a high position is 1 positive and negative to distinguish；
Wave data on time shaft is divided into multiple subdata units according to its cycle time, each subdata unit first according to
The mode of front and back waveform difference obtains the difference of current form and previous waveform, and difference is carried out bit wide compression；
During waveform difference before and after progress, each data cell is reduced to the difference table compared to previous waveform
Show；The maximum deviation amount of acquisition waveforms difference, record maximum deviation amount digit carry out bit wide compression, difference is most as benchmark
Big digit includes indicating positive and negative sign bit；
Difference reference waveform for first waveform as waveform subsequent, using two kinds of compression algorithms, a kind of is traditional bit wide
Compression algorithm, a kind of bit wide compression algorithm for tape symbol, two kinds of algorithms respectively count the data word joint number after having compressed, and choose number
According to the minimum compress mode as first waveform of byte number.
6. method as claimed in claim 5, which is characterized in that, using the combination of multiple already present subalgorithms, pass through antithetical phrase
The optimal selection of algorithm reaches maximum compression ratio.
7. method as claimed in claim 6, which is characterized in that the sampling precision of Current Voltage according to 12 bit AD samples, often
Group waveform includes 960 sampled points, and totally 12 waveforms, the first step are that 12 waveforms are divided into 12 data cells, each data
Unit increases data head, and one point data bit wide and institute's compressed data sampling after compression type, compression are had in each data cell
Points；
Second step is compressed to the first waveform in 12 waveforms：Two kinds of compress modes, bit wide compression are selected in compression
With front and back Differential Compression, when carrying out bit wide compression, using the compress mode of 12Bit, compression factor 1/4；Progress before
When post-sampling point Differential Compression, using difference value maximum value bit wide plus sign bit as with reference to bit wide；Compare two kinds of compress modes,
Select compress mode of the compression algorithm of bit wide minimum after compressing as first waveform.
Third step is n-th of the waveform taken in follow-up 11 waveforms, if sampled data points are expressed as P in waveformN, i, n=[2,
3 .., 12], [1,2 .., 80] i=, then for waveform WnIt can be expressed as Wn={ PN, i, i=[1,2 .., 80]；According to
Wherein n=[2,3 .., 11], i=[1,2 .., 80]；
Then all-wave graphic data can do following equivalence：
If compressed Wave data unit bit wide is less than or equal to 12, n=n+1 is executed, repetition third step is returned to and executes；If
Compressed bit wide is more than 12, executes the 4th following steps；
4th step then uses front and back sampled point Differential Compression algorithm in the case of front and back waveform Differential Compression algorithm is non-optimal,
For waveform element Wn, n=[2,3 .., 12], PnIt can do following equivalent
When compressed Wave data unit bit wide is less than or equal to 12, then n=n+1 is executed, repeats third step；After compression
Bit wide be more than 12, then execute the 5th following steps；
5th step then uses 12Bit bit wide compress modes, holds in the case of front and back sampled point Differential Compression algorithm is non-optimal
Row n=n+1 returns to repetition third step and executes.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105915226A (en) * | 2016-04-27 | 2016-08-31 | 深圳市禾望电气股份有限公司 | Wave recording data processing method and system |
| CN106970299A (en) * | 2017-03-09 | 2017-07-21 | 国网福建省电力有限公司 | One kind judges earth fault information visualization configuration determination methods |
| CN107037280A (en) * | 2016-11-11 | 2017-08-11 | 中国南方电网有限责任公司 | Protection big data fault signature system construction method based on recording scanning technique |
| CN107102220A (en) * | 2017-03-14 | 2017-08-29 | 全球能源互联网研究院 | Recorder data processing method and processing device |
| CN107786000A (en) * | 2017-10-18 | 2018-03-09 | 南京能云电力科技有限公司 | The intelligent generation method of digital relay protection tester configuration file |
-
2018
- 2018-03-21 CN CN201810233576.0A patent/CN108469585A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105915226A (en) * | 2016-04-27 | 2016-08-31 | 深圳市禾望电气股份有限公司 | Wave recording data processing method and system |
| CN107037280A (en) * | 2016-11-11 | 2017-08-11 | 中国南方电网有限责任公司 | Protection big data fault signature system construction method based on recording scanning technique |
| CN106970299A (en) * | 2017-03-09 | 2017-07-21 | 国网福建省电力有限公司 | One kind judges earth fault information visualization configuration determination methods |
| CN107102220A (en) * | 2017-03-14 | 2017-08-29 | 全球能源互联网研究院 | Recorder data processing method and processing device |
| CN107786000A (en) * | 2017-10-18 | 2018-03-09 | 南京能云电力科技有限公司 | The intelligent generation method of digital relay protection tester configuration file |
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