CN113629880A - Method and system for detecting transformer area voltage interference device based on data center station - Google Patents

Method and system for detecting transformer area voltage interference device based on data center station Download PDF

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Publication number
CN113629880A
CN113629880A CN202111182896.6A CN202111182896A CN113629880A CN 113629880 A CN113629880 A CN 113629880A CN 202111182896 A CN202111182896 A CN 202111182896A CN 113629880 A CN113629880 A CN 113629880A
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voltage
distribution
distribution transformer
matrix
station
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CN113629880B (en
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欧阳文华
安义
蒙天骐
戚沁雅
徐在德
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • 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
    • G01R31/001—Measuring interference from external sources to, or emission from, the device under test, e.g. EMC, EMI, EMP or ESD testing
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Electromagnetism (AREA)
  • General Physics & Mathematics (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a detection method and a system of a station area voltage interference device based on a data center station, wherein the method comprises the following steps: the method comprises the following steps that firstly, power distribution station area data required by calculation are obtained from all databases of a data center station; secondly, processing the data of the transformer area based on a real-time computing platform Storm of the middle transformer, wherein the processing comprises data preprocessing, elimination of the transformer area with data loss, and parallel computing of a transformer area voltage interference device; thirdly, automatically storing the area, calculated to have the voltage interference device, of the second step into an Oracle database in a work order form based on a distributed message queue Kafka of a data center station; and fourthly, the operation and maintenance unit reaches the site to remove the voltage interference device according to the content of the work order, the removal result is filled in the system, the system performs cyclic calculation, the work order of the station area without the voltage interference device is continuously reserved, and the automatic filing of the removed station area is realized. The traditional manual on-site investigation mode is changed, and the on-line detection of the transformer area voltage interference device is realized.

Description

Method and system for detecting transformer area voltage interference device based on data center station
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to a detection method and a detection system for a station area voltage interference device based on a data center station.
Background
The voltage stability of a power distribution area in an electric power system directly determines the power supply quality and the power consumption experience of users, and the high-quality service of a power supply company is greatly influenced by the low voltage of the power distribution area and the low voltage of the users, so that the power supply company always takes the voltage qualification rate of the power distribution area as an assessment index of operation and maintenance units of each base layer, and the operation and maintenance units spend a large amount of manpower and material resources to treat the voltage quality of the power distribution area every year.
Meanwhile, a distribution operation and maintenance unit is disturbed by the station voltage qualification rate index pressure, a station voltage interference device is installed in a JP cabinet to achieve the purpose of meeting the station voltage qualification rate, and the interference device continuously transmits a value in a set interval range to the voltage collector by serially connecting the voltage interference device between the station and the collector, so that the purpose of being spurious is achieved. But the voltage of the transformer area is not truly reflected, so that the acquired data is distorted, the voltage quality and the line loss of a user side are further influenced, the data analysis result based on the transformer area voltage is also influenced, and the operating benefit and the safe production of a company are directly influenced.
Disclosure of Invention
The present invention provides a method and a system for detecting a cell voltage interference device based on a data center station, which are used for solving at least one of the above technical problems.
In a first aspect, the present invention provides a method for detecting a station area voltage interference device based on a station in data, including: respectively constructing a first voltage time sequence matrix based on the distribution transformer voltage time sequence data and the distribution transformer current time sequence data of the station in the acquired data
Figure 810314DEST_PATH_IMAGE001
And a first current time series matrix
Figure 158119DEST_PATH_IMAGE002
(ii) a Calculating the first voltage time series matrix
Figure 363972DEST_PATH_IMAGE001
Obtaining the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, and obtaining the minimum value of the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, so that the minimum sequence of the correlation coefficients between the distribution and transformation phase voltages is obtained
Figure 231565DEST_PATH_IMAGE003
(ii) a Screening out the minimal sequence
Figure 395831DEST_PATH_IMAGE003
The correlation coefficient between each distribution phase voltage of which the sum is less than the preset value is constructed, and a corresponding second voltage time sequence matrix is constructed
Figure 965352DEST_PATH_IMAGE004
And a second current time series matrix
Figure 974896DEST_PATH_IMAGE005
(ii) a Respectively calculating the second voltage time sequence matrix
Figure 461110DEST_PATH_IMAGE004
The three-phase voltage difference value under each time sequence, and the second current time sequence matrix
Figure 265118DEST_PATH_IMAGE005
The difference value of three-phase current in each time sequence is used to make the voltage difference value matrix
Figure 587515DEST_PATH_IMAGE006
Sum current difference matrix
Figure 135171DEST_PATH_IMAGE007
(ii) a For the voltage difference matrix
Figure 180619DEST_PATH_IMAGE006
And the current difference matrix
Figure 952266DEST_PATH_IMAGE007
Performing linear regression calculation to obtain a linear regression equation of each distribution transformer, wherein the expression of the linear regression equation of each distribution transformer is as follows:
Figure 965221DEST_PATH_IMAGE008
in the formula (I), wherein,
Figure 690469DEST_PATH_IMAGE009
is as follows
Figure 511795DEST_PATH_IMAGE010
The difference in the voltages of the stage distribution transformers,
Figure 47818DEST_PATH_IMAGE011
is as follows
Figure 954594DEST_PATH_IMAGE010
The difference in the currents of the stage distribution transformer,
Figure 719419DEST_PATH_IMAGE012
is as follows
Figure 660830DEST_PATH_IMAGE010
The difference in current at a certain point in time of the stage distribution,
Figure 102176DEST_PATH_IMAGE013
in order to obtain the intercept of the signal,
Figure 761828DEST_PATH_IMAGE014
is as follows
Figure 828878DEST_PATH_IMAGE010
The regression coefficient of the table distribution variation,
Figure 624796DEST_PATH_IMAGE015
is as follows
Figure 971464DEST_PATH_IMAGE010
Variance of voltage difference values of the station distribution transformer; judging whether the variance of the voltage difference value of a certain distribution transformer is larger than a first preset value or not based on the obtained linear regression equation of each distribution transformer; if the variance of the voltage difference value of a certain distribution transformer is not larger than a first preset value, judging whether the absolute value of the regression coefficient of the certain distribution transformer is smaller than a second preset value or not; and if the absolute value of the regression coefficient of one distribution transformer is smaller than a second preset value, a voltage interference device exists in the distribution area.
In a second aspect, the present invention provides a station area voltage interference apparatus detection system based on a station in data, including: a construction module configured to respectively construct a first voltage time series matrix based on the distribution transformer voltage time series data and the distribution transformer current time series data of the station in the acquired data
Figure 728198DEST_PATH_IMAGE001
And a first current time series matrix
Figure 287356DEST_PATH_IMAGE002
(ii) a A first calculation module configured to calculate the first voltage time series matrix
Figure 937780DEST_PATH_IMAGE001
Obtaining the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, and obtaining the minimum value of the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, so that the minimum sequence of the correlation coefficients between the distribution and transformation phase voltages is obtained
Figure 235775DEST_PATH_IMAGE003
(ii) a A screening module configured to screen out the minimal sequence
Figure 604439DEST_PATH_IMAGE003
Each distribution phase voltage less than the preset valueCorrelation coefficient between the two and constructing a corresponding second voltage time series matrix
Figure 764025DEST_PATH_IMAGE004
And a second current time series matrix
Figure 534535DEST_PATH_IMAGE005
(ii) a A second calculation module configured to calculate the second voltage time-series matrices, respectively
Figure 504896DEST_PATH_IMAGE004
The three-phase voltage difference value under each time sequence, and the second current time sequence matrix
Figure 688753DEST_PATH_IMAGE005
The difference value of three-phase current in each time sequence is used to make the voltage difference value matrix
Figure 261817DEST_PATH_IMAGE006
Sum current difference matrix
Figure 526314DEST_PATH_IMAGE007
(ii) a A third calculation module configured to calculate the matrix of voltage differences
Figure 526631DEST_PATH_IMAGE006
And the current difference matrix
Figure 994521DEST_PATH_IMAGE007
Performing linear regression calculation to obtain a linear regression equation of each distribution transformer, wherein the expression of the linear regression equation of each distribution transformer is as follows:
Figure 636855DEST_PATH_IMAGE008
in the formula (I), wherein,
Figure 991744DEST_PATH_IMAGE009
is as follows
Figure 428542DEST_PATH_IMAGE010
The difference in the voltages of the stage distribution transformers,
Figure 321411DEST_PATH_IMAGE011
is as follows
Figure 610179DEST_PATH_IMAGE010
The difference in the currents of the stage distribution transformer,
Figure 209788DEST_PATH_IMAGE012
is as follows
Figure 942120DEST_PATH_IMAGE010
The difference in current at a certain point in time of the stage distribution,
Figure 259969DEST_PATH_IMAGE013
in order to obtain the intercept of the signal,
Figure 853893DEST_PATH_IMAGE014
is as follows
Figure 308008DEST_PATH_IMAGE010
The regression coefficient of the table distribution variation,
Figure 211242DEST_PATH_IMAGE015
is as follows
Figure 750808DEST_PATH_IMAGE010
Variance of voltage difference values of the station distribution transformer; the first judgment module is configured to judge whether the variance of the voltage difference value of a certain distribution transformer is larger than a first preset value or not based on the obtained linear regression equation of each distribution transformer; the second judgment module is configured to judge whether the absolute value of the regression coefficient of a certain distribution transformer is smaller than a second preset value or not if the variance of the voltage difference value of the certain distribution transformer is not larger than the first preset value; and the output module is configured to determine that the voltage interference device exists in the distribution area if the absolute value of the regression coefficient of one distribution transformer is smaller than a second preset value.
In a third aspect, an electronic device is provided, comprising: the apparatus includes at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to perform the steps of a station voltage disturbance device detection method based on a station in data according to any of the embodiments of the present invention.
In a fourth aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the steps of a station-in-data station-based station-area-voltage-interference-apparatus detection method according to any of the embodiments of the present invention.
The method and the system for detecting the transformer area voltage interference device based on the transformer area in the data can rapidly and stably obtain transformer area information data and transformer area operation data, stability of detection services is guaranteed, meanwhile, based on real-time operation data of the transformer area in the data and strong computing power of the transformer area in the data, once the transformer area is provided with the voltage interference device, the voltage interference device can be timely found, operation and maintenance personnel are supervised and urged to remove the transformer area voltage interference device, and meanwhile, the voltage interference device has non-repudiation performance.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a flowchart of a detection method for a station-to-station voltage interference apparatus based on a data center station according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for detecting a station-to-station voltage interference apparatus based on a data center station according to another embodiment of the present invention;
fig. 3 is a block diagram of a detection system for a station-to-station voltage interference unit based on a data center station according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flow chart of a station-to-station voltage interference apparatus detection method based on a data center station according to the present application is shown.
As shown in fig. 1, in step S101, a first voltage time-series matrix is respectively constructed based on distribution voltage time-series data and distribution current time-series data of a station in the acquired data
Figure 646957DEST_PATH_IMAGE001
And a first current time series matrix
Figure 17896DEST_PATH_IMAGE002
；
In step S102, the first voltage time series matrix is calculated
Figure 842763DEST_PATH_IMAGE001
Obtaining the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, and obtaining the minimum value of the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, so that the minimum sequence of the correlation coefficients between the distribution and transformation phase voltages is obtained
Figure 604046DEST_PATH_IMAGE003
；
In step S103, the minimum sequence is selected
Figure 54619DEST_PATH_IMAGE003
Phase between each distribution phase voltage of which the phase is less than a preset valueCorrelation coefficient and constructing a corresponding second voltage time series matrix
Figure 217747DEST_PATH_IMAGE004
And a second current time series matrix
Figure 938751DEST_PATH_IMAGE005
；
In step S104, the second voltage time-series matrix is respectively calculated
Figure 577543DEST_PATH_IMAGE004
The three-phase voltage difference value under each time sequence, and the second current time sequence matrix
Figure 707173DEST_PATH_IMAGE005
The difference value of three-phase current in each time sequence is used to make the voltage difference value matrix
Figure 600173DEST_PATH_IMAGE006
Sum current difference matrix
Figure 157057DEST_PATH_IMAGE007
；
In step S105, the voltage difference matrix is applied
Figure 17565DEST_PATH_IMAGE006
And the current difference matrix
Figure 996891DEST_PATH_IMAGE007
Performing linear regression calculation to obtain a linear regression equation of each distribution transformer, wherein the expression of the linear regression equation of each distribution transformer is as follows:
Figure 134612DEST_PATH_IMAGE008
，
in the formula (I), the compound is shown in the specification,
Figure 987030DEST_PATH_IMAGE009
is as follows
Figure 944622DEST_PATH_IMAGE010
The difference in the voltages of the stage distribution transformers,
Figure 291421DEST_PATH_IMAGE011
is as follows
Figure 283647DEST_PATH_IMAGE010
The difference in the currents of the stage distribution transformer,
Figure 41388DEST_PATH_IMAGE012
is as follows
Figure 17434DEST_PATH_IMAGE010
The difference in current at a certain point in time of the stage distribution,
Figure 400880DEST_PATH_IMAGE013
in order to obtain the intercept of the signal,
Figure 575509DEST_PATH_IMAGE014
is as follows
Figure 645096DEST_PATH_IMAGE010
The regression coefficient of the table distribution variation,
Figure 452647DEST_PATH_IMAGE015
is as follows
Figure 265882DEST_PATH_IMAGE010
Variance of voltage difference values of the station distribution transformer;
in step S106, based on the obtained linear regression equation of each distribution transformer, it is determined whether the variance of the voltage difference value of a certain distribution transformer is greater than a first preset value;
in step S107, if the variance of the voltage difference of a certain distribution transformer is not greater than the first preset value, it is determined whether the absolute value of the regression coefficient of the certain distribution transformer is smaller than the second preset value;
in step S108, if the absolute value of the regression coefficient of a certain distribution transformer is smaller than the second preset value, a voltage interference device exists in the distribution area.
In the method of the embodiment, the distribution area data required by calculation is obtained from each database of the station in the data, whether the voltage of the area is regularly kept in a certain interval or not is judged from the variance of the voltage difference value, so that whether the voltage of the area is artificially regulated and controlled or not is judged, the regression coefficient is that the curve is quantized, the more the regression coefficient approaches to 0, the whole curve is a straight curve, the higher the possibility of interference control voltage is considered, the station area with the voltage interference device calculated according to the distributed message queue Kafka of the station in the data is automatically stored in an Oracle database in a form of a work order, an operation and maintenance unit removes the voltage interference device according to the content of the work order on site, and the removal result is filled in the system, the system calculates circularly, the work order of the station area without removing the voltage interference device is continuously reserved, and the removed station area is automatically filed, the problem of adopt artifical on-spot investigation platform district voltage interference device or look over the voltage curve of every distribution transformer through the manual work among the prior art and judge whether have platform district voltage interference device, cause detection efficiency and detection accuracy to hang down is solved.
Referring to fig. 2, a flow chart of another detection method for station-to-station interference-based station voltage interference apparatus according to the present application is shown.
As shown in fig. 2, a method for detecting a station area voltage interference device based on a station in data includes the following steps:
step (1) data acquisition of data center
Acquiring data of a platform account class table stored in a relational database PostgreSQL through an OGG (open log graph), and sequentially writing the data into a data change message queue Kafka; measuring data stored in a distributed column database HBase is obtained, and the measuring data are sequentially written into an acquisition change log message queue Kafka; and acquiring the topological data of the distribution network region stored in the distributed file system Hdoop, and sequentially writing the topological data into the data change log message queue Kafka.
Step (2) data processing and distribution room voltage interference device calculation
Step (2.1): acquiring time sequence data of distribution transformer voltage and current of all 10kV lines, wherein the current time sequence data is mostly three-phase voltage and current amplitude values at intervals of 15 minutes;
step (2.2): removing the data missing distribution transformer: preprocessing the acquired time series original data, and removing the missing distribution transformation of the data;
step (2.3): constructing a first voltage time series matrix
Figure 622914DEST_PATH_IMAGE001
And a first current time series matrix
Figure 597823DEST_PATH_IMAGE002
: the voltage time series data is processed such that the data format is an M x N input matrix, wherein,
Figure 656784DEST_PATH_IMAGE016
，
Figure 8131DEST_PATH_IMAGE017
is as follows
Figure 954090DEST_PATH_IMAGE018
Station distribution transformer
Figure 99900DEST_PATH_IMAGE019
The phase voltage sequences are connected in series,
Figure 882043DEST_PATH_IMAGE020
a phase, B phase and C phase of the voltage are respectively shown,
Figure 364977DEST_PATH_IMAGE021
for the voltage amplitude of the corresponding voltage sequence,
Figure 40809DEST_PATH_IMAGE022
as a sampling time
Figure 997001DEST_PATH_IMAGE023
The voltage amplitude of (c). A first current time series matrix is also constructed
Figure 391073DEST_PATH_IMAGE002
Wherein, in the step (A),
Figure 208857DEST_PATH_IMAGE024
，
Figure 4774DEST_PATH_IMAGE025
is as follows
Figure 633333DEST_PATH_IMAGE026
Station distribution transformer
Figure 249122DEST_PATH_IMAGE027
The sequence of phase currents is such that,
Figure 136175DEST_PATH_IMAGE028
the voltage is represented by phase A, phase B and phase C.
Step (2.4): calculating the matrix M multiplied by N in the third step through a real-time calculation platform Storm, and calculating the correlation coefficient between every two ABC three-phase voltages allocated to a certain station in a single day
Figure 786600DEST_PATH_IMAGE029
And the minimum value is taken to obtain the minimum sequence of the correlation coefficient between each phase voltage of the distribution transformer
Figure 84595DEST_PATH_IMAGE003
。
Figure 453259DEST_PATH_IMAGE030
，
In the formula (I), the compound is shown in the specification,
Figure 612845DEST_PATH_IMAGE031
is composed of
Figure 117776DEST_PATH_IMAGE032
Samples and
Figure 291399DEST_PATH_IMAGE033
the correlation coefficient of the sample is determined,
Figure 6414DEST_PATH_IMAGE034
is composed of
Figure 845057DEST_PATH_IMAGE032
Samples and
Figure 843975DEST_PATH_IMAGE033
the covariance of the samples is determined by the covariance,
Figure 375450DEST_PATH_IMAGE035
is composed of
Figure 577762DEST_PATH_IMAGE032
The standard deviation of the sample is determined,
Figure 954516DEST_PATH_IMAGE036
is composed of
Figure 309406DEST_PATH_IMAGE033
The standard deviation of the sample is determined,
Figure 74099DEST_PATH_IMAGE037
the formula is solved for the covariance,
Figure 639073DEST_PATH_IMAGE038
is composed of
Figure 193420DEST_PATH_IMAGE032
The average value of the samples is calculated,
Figure 58608DEST_PATH_IMAGE039
is composed of
Figure 790940DEST_PATH_IMAGE033
Average of samples.
Step (2.5): determining the sequence of step four
Figure 577631DEST_PATH_IMAGE040
If the median is less than 0.8, the minimum correlation coefficient
Figure 437133DEST_PATH_IMAGE041
Obtaining a second voltage time sequence matrix corresponding to the distribution transformer
Figure 891248DEST_PATH_IMAGE042
A second current time series matrix
Figure 794482DEST_PATH_IMAGE043
Calculating the input matrix, and calculating the three-phase voltage difference value under each time sequence
Figure 68469DEST_PATH_IMAGE044
That is, the minimum value is subtracted from the maximum value of the three-phase voltage to obtain a voltage difference matrix S multiplied by N, and a current difference matrix T multiplied by N is obtained in the same way.
Step (2.6): performing linear regression calculation on the matrix S multiplied by N, T multiplied by N in the step five, and obtaining a linear regression equation by each distribution transformer
Figure 167881DEST_PATH_IMAGE008
In the formula (I), wherein,
Figure 601136DEST_PATH_IMAGE009
is as follows
Figure 550638DEST_PATH_IMAGE010
The difference in the voltages of the stage distribution transformers,
Figure 452866DEST_PATH_IMAGE011
is as follows
Figure 513226DEST_PATH_IMAGE010
The difference in the currents of the stage distribution transformer,
Figure 332146DEST_PATH_IMAGE012
is as follows
Figure 452549DEST_PATH_IMAGE010
The difference in current at a certain point in time of the stage distribution,
Figure 75029DEST_PATH_IMAGE013
in order to obtain the intercept of the signal,
Figure 939080DEST_PATH_IMAGE014
is as follows
Figure 346927DEST_PATH_IMAGE010
The regression coefficient of the table distribution variation,
Figure 638231DEST_PATH_IMAGE015
is as follows
Figure 249472DEST_PATH_IMAGE010
Variance of voltage difference values of the station distribution transformer;
step (2.7): if it is
Figure 917214DEST_PATH_IMAGE015
>0.5, no voltage interference device exists, otherwise, the judgment is made
Figure 382830DEST_PATH_IMAGE014
If-0.05<
Figure 218937DEST_PATH_IMAGE014
<And 0.05, the transformer area has a voltage interference device, otherwise, the transformer area has no voltage interference device, and the distribution transformer voltage is credible.
Step (3) automatic issuing of work order
The system automatically calculates the transformer area with the voltage interference device, automatically stores the transformer area with the voltage interference device calculated in the second step into an Oracle database in a form of a work order based on a distributed message queue Kafka of the transformer station in the data, and sends the work order to a corresponding equipment owner in a message reminding form, wherein the content of the work order comprises the name of the transformer area, the name of a line, the occurrence time of the work order, overtime reminding and the like.
Step (4) dismantling the voltage device on site by the operation and maintenance unit and filling the work order in the system
After receiving the system work order prompt, the equipment operation and maintenance personnel attend the field according to the work order content to verify and process the cause of the abnormal voltage of the transformer area, if a voltage interference device exists, the equipment operation and maintenance personnel are dismantled and filled in the system, and if the voltage interference device does not exist, the cause of the abnormal voltage is explained in the system. The system is based on real-time voltage and current data of a middle station, a real-time computing platform Storm calculates whether a voltage device exists in a work order filling background area or not again, if the voltage device does not exist in the work order filling background area, the work order is judged to be filed, and the voltage of the background area is credible.
In summary, the method of the present embodiment can achieve the following technical effects:
1) the method has the advantages that a detection device does not need to be newly added, the existing equipment does not need to be modified, the distribution transformer operation and the user power utilization are not affected, the traditional manual on-site investigation mode is changed, and the online detection of the station area voltage interference device is realized;
2) the stable of detection service has been guaranteed to acquireing platform district information data, platform district operating data that can be fast and stable, simultaneously based on the strong computing power of platform in the real-time operating data of platform in the data and the data, platform district in case there is the installation of voltage interference device, discovery that can be timely supervises to operate and maintain personnel and demolish, possesses the non-repudiation nature simultaneously.
Referring to fig. 3, a block diagram of a station-to-station voltage disturbance device detection system based on a data center station according to the present application is shown.
As shown in fig. 3, the detection system 200 includes a construction module 210, a first calculation module 220, a screening module 230, a second calculation module 240, a third calculation module 250, a first judgment module 260, a second judgment module 270, and an output module 280.
The constructing module 210 is configured to respectively construct a first voltage time series matrix based on the distribution transformer voltage time series data and the distribution transformer current time series data of the station in the acquired data
Figure 442108DEST_PATH_IMAGE001
And a first current time series matrix
Figure 38174DEST_PATH_IMAGE002
(ii) a A first calculation module 220 configured to calculate the first voltage time series matrix
Figure 30401DEST_PATH_IMAGE001
Obtaining the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, and obtaining the minimum value of the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, so that the minimum sequence of the correlation coefficients between the distribution and transformation phase voltages is obtained
Figure 538874DEST_PATH_IMAGE003
(ii) a A screening module 230 configured to screen out the minimal sequence
Figure 249341DEST_PATH_IMAGE003
The correlation coefficient between each distribution phase voltage of which the sum is less than the preset value is constructed, and a corresponding second voltage time sequence matrix is constructed
Figure 383519DEST_PATH_IMAGE045
And a second current time series matrix
Figure 230252DEST_PATH_IMAGE046
(ii) a A second calculation module 240 configured to calculate the second voltage time-series matrix respectively
Figure 673741DEST_PATH_IMAGE045
The three-phase voltage difference value under each time sequence, and the second current time sequence matrix
Figure 605925DEST_PATH_IMAGE046
The difference value of three-phase current in each time sequence is used to make the voltage difference value matrix
Figure 543794DEST_PATH_IMAGE006
Sum current difference matrix
Figure 245034DEST_PATH_IMAGE007
(ii) a A third calculation module 250 configured to calculate the matrix of voltage differences
Figure 360888DEST_PATH_IMAGE006
And the current difference matrix
Figure 780368DEST_PATH_IMAGE007
Performing linear regression calculation to obtain a linear regression equation of each distribution transformer, wherein the expression of the linear regression equation of each distribution transformer is as follows:
Figure 256349DEST_PATH_IMAGE008
in the formula (I), wherein,
Figure 874412DEST_PATH_IMAGE009
is as follows
Figure 285802DEST_PATH_IMAGE010
The difference in the voltages of the stage distribution transformers,
Figure 566480DEST_PATH_IMAGE011
is as follows
Figure 721517DEST_PATH_IMAGE010
The difference in the currents of the stage distribution transformer,
Figure 521983DEST_PATH_IMAGE012
is as follows
Figure 104274DEST_PATH_IMAGE010
The difference in current at a certain point in time of the stage distribution,
Figure 373713DEST_PATH_IMAGE013
in order to obtain the intercept of the signal,
Figure 66862DEST_PATH_IMAGE014
is as follows
Figure 987414DEST_PATH_IMAGE010
The regression coefficient of the table distribution variation,
Figure 475027DEST_PATH_IMAGE015
is as follows
Figure 464717DEST_PATH_IMAGE010
Variance of voltage difference values of the station distribution transformer; a first judging module 260 configured toSetting a linear regression equation based on each acquired distribution transformer, and judging whether the variance of the voltage difference value of a certain distribution transformer is larger than a first preset value or not; a second determining module 270, configured to determine whether an absolute value of a regression coefficient of a certain distribution transformer is smaller than a second preset value if the variance of the voltage difference of the certain distribution transformer is not larger than the first preset value; the output module 280 is configured to determine that a voltage interference device exists in the distribution area if the absolute value of the regression coefficient of a certain distribution transformer is smaller than a second preset value.
It should be understood that the modules depicted in fig. 3 correspond to various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method and the corresponding technical effects are also applicable to the modules in fig. 3, and are not described again here.
In other embodiments, an embodiment of the present invention further provides a computer-readable storage medium, where computer-executable instructions are stored, where the computer-executable instructions may execute the detecting method for the station-to-station voltage interference apparatus based on the station in data in any of the method embodiments described above;
as one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions configured to:
respectively constructing a first voltage time sequence matrix based on the distribution transformer voltage time sequence data and the distribution transformer current time sequence data of the station in the acquired data
Figure 961558DEST_PATH_IMAGE001
And a first current time series matrix
Figure 736616DEST_PATH_IMAGE002
；
Calculating the first voltage time series matrix
Figure 660709DEST_PATH_IMAGE001
Obtaining the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, and obtaining the minimum value of the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, so that the correlation coefficient reaches every two distribution and transformation three-phase voltages in every dayMinimum sequence of correlation coefficients between phase voltages of transformer station
Figure 639161DEST_PATH_IMAGE003
；
Screening out the minimal sequence
Figure 674113DEST_PATH_IMAGE003
The correlation coefficient between each distribution phase voltage of which the sum is less than the preset value is constructed, and a corresponding second voltage time sequence matrix is constructed
Figure 569256DEST_PATH_IMAGE047
And a second current time series matrix
Figure 664251DEST_PATH_IMAGE048
；
Respectively calculating the second voltage time sequence matrix
Figure 628534DEST_PATH_IMAGE047
The three-phase voltage difference value under each time sequence, and the second current time sequence matrix
Figure 467177DEST_PATH_IMAGE048
The difference value of three-phase current in each time sequence is used to make the voltage difference value matrix
Figure 888931DEST_PATH_IMAGE006
Sum current difference matrix
Figure 279461DEST_PATH_IMAGE007
；
For the voltage difference matrix
Figure 357139DEST_PATH_IMAGE006
And the current difference matrix
Figure 609260DEST_PATH_IMAGE007
Performing a linear regression calculation to a linear regression equation for each of the distribution variables, wherein the linearity of each of the distribution variablesThe expression of the regression equation is:
Figure 88782DEST_PATH_IMAGE008
，
in the formula (I), the compound is shown in the specification,
Figure 650214DEST_PATH_IMAGE009
is as follows
Figure 215187DEST_PATH_IMAGE010
The difference in the voltages of the stage distribution transformers,
Figure 503955DEST_PATH_IMAGE011
is as follows
Figure 837985DEST_PATH_IMAGE010
The difference in the currents of the stage distribution transformer,
Figure 570317DEST_PATH_IMAGE012
is as follows
Figure 622587DEST_PATH_IMAGE010
The difference in current at a certain point in time of the stage distribution,
Figure 482090DEST_PATH_IMAGE013
in order to obtain the intercept of the signal,
Figure 670625DEST_PATH_IMAGE014
is as follows
Figure 573859DEST_PATH_IMAGE010
The regression coefficient of the table distribution variation,
Figure 910163DEST_PATH_IMAGE015
is as follows
Figure 432411DEST_PATH_IMAGE010
Variance of voltage difference values of the station distribution transformer;
judging whether the variance of the voltage difference value of a certain distribution transformer is larger than a first preset value or not based on the obtained linear regression equation of each distribution transformer;
if the variance of the voltage difference value of a certain distribution transformer is not larger than a first preset value, judging whether the absolute value of the regression coefficient of the certain distribution transformer is smaller than a second preset value or not;
and if the absolute value of the regression coefficient of one distribution transformer is smaller than a second preset value, a voltage interference device exists in the distribution area.
The computer-readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of a station voltage disturbance device detection system based on a station in data, and the like. Further, the computer-readable storage medium may include high speed random access memory, and may also include memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the computer readable storage medium optionally includes memory remotely located from the processor, and the remote memory may be connected to the station voltage disturbance device detection system based on the station in data via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 4, the electronic device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330, and the output device 340 may be connected by a bus or other means, such as the bus connection in fig. 4. The memory 320 is the computer-readable storage medium described above. The processor 310 executes various functional applications of the server and data processing by running the nonvolatile software programs, instructions and modules stored in the memory 320, that is, the method for detecting the station voltage interference device based on the station in the data of the above-mentioned method embodiment is realized. The input device 330 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the station voltage disturbance device detection system based on the station in the data. The output device 340 may include a display device such as a display screen.
The electronic device can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
As an embodiment, the electronic device is applied to a station voltage interference apparatus detection system based on a station in data, and is used for a client, and the electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to:
respectively constructing a first voltage time sequence matrix based on the distribution transformer voltage time sequence data and the distribution transformer current time sequence data of the station in the acquired data
Figure 138371DEST_PATH_IMAGE001
And a first current time series matrix
Figure 87873DEST_PATH_IMAGE002
；
Calculating the first voltage time series matrix
Figure 239368DEST_PATH_IMAGE001
Obtaining the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, and obtaining the minimum value of the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, so that the minimum sequence of the correlation coefficients between the distribution and transformation phase voltages is obtained
Figure 299728DEST_PATH_IMAGE003
；
Screening out the minimal sequence
Figure 338223DEST_PATH_IMAGE003
The correlation coefficient between each distribution phase voltage less than the preset value and constructing the correspondingSecond voltage time series matrix
Figure 724205DEST_PATH_IMAGE050
And a second current time series matrix
Figure 97417DEST_PATH_IMAGE051
；
Respectively calculating the second voltage time sequence matrix
Figure 695889DEST_PATH_IMAGE050
The three-phase voltage difference value under each time sequence, and the second current time sequence matrix
Figure 353004DEST_PATH_IMAGE051
The difference value of three-phase current in each time sequence is used to make the voltage difference value matrix
Figure 644308DEST_PATH_IMAGE006
Sum current difference matrix
Figure 504817DEST_PATH_IMAGE007
；
For the voltage difference matrix
Figure 172558DEST_PATH_IMAGE006
And the current difference matrix
Figure 185645DEST_PATH_IMAGE007
Performing linear regression calculation to obtain a linear regression equation of each distribution transformer, wherein the expression of the linear regression equation of each distribution transformer is as follows:
Figure 647850DEST_PATH_IMAGE008
，
in the formula (I), the compound is shown in the specification,
Figure 667759DEST_PATH_IMAGE009
is as follows
Figure 998246DEST_PATH_IMAGE010
The difference in the voltages of the stage distribution transformers,
Figure 990473DEST_PATH_IMAGE011
is as follows
Figure 263060DEST_PATH_IMAGE010
The difference in the currents of the stage distribution transformer,
Figure 973527DEST_PATH_IMAGE012
is as follows
Figure 842126DEST_PATH_IMAGE010
The difference in current at a certain point in time of the stage distribution,
Figure 954438DEST_PATH_IMAGE013
in order to obtain the intercept of the signal,
Figure 633813DEST_PATH_IMAGE014
is as follows
Figure 565996DEST_PATH_IMAGE010
The regression coefficient of the table distribution variation,
Figure 238286DEST_PATH_IMAGE015
is as follows
Figure 205105DEST_PATH_IMAGE010
Variance of voltage difference values of the station distribution transformer;
judging whether the variance of the voltage difference value of a certain distribution transformer is larger than a first preset value or not based on the obtained linear regression equation of each distribution transformer;
if the variance of the voltage difference value of a certain distribution transformer is not larger than a first preset value, judging whether the absolute value of the regression coefficient of the certain distribution transformer is smaller than a second preset value or not;
and if the absolute value of the regression coefficient of one distribution transformer is smaller than a second preset value, a voltage interference device exists in the distribution area.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (8)

1. A detection method for a station area voltage interference device based on a data center station is characterized by comprising the following steps:
respectively constructing a first voltage time sequence matrix based on the distribution transformer voltage time sequence data and the distribution transformer current time sequence data of the station in the acquired data
Figure 387890DEST_PATH_IMAGE001
And a first current time series matrix
Figure 773872DEST_PATH_IMAGE002
；
Calculating the first voltage time series matrix
Figure 396352DEST_PATH_IMAGE001
The correlation coefficient between every two three-phase voltages of a certain distribution transformer in a single day is obtained, and a certain distribution transformer in a single day is obtainedThe minimum value of the correlation coefficient between every two three-phase voltages enables the minimum sequence of the correlation coefficient between each distribution phase voltage
Figure 525982DEST_PATH_IMAGE003
；
Screening out the minimal sequence
Figure 933830DEST_PATH_IMAGE003
The correlation coefficient between each distribution phase voltage of which the sum is less than the preset value is constructed, and a corresponding second voltage time sequence matrix is constructed
Figure 225134DEST_PATH_IMAGE004
And a second current time series matrix
Figure 836375DEST_PATH_IMAGE005
；
Respectively calculating the second voltage time sequence matrix
Figure 504117DEST_PATH_IMAGE004
The three-phase voltage difference value under each time sequence, and the second current time sequence matrix
Figure 766471DEST_PATH_IMAGE005
The difference value of three-phase current in each time sequence is used to make the voltage difference value matrix
Figure 228676DEST_PATH_IMAGE006
Sum current difference matrix
Figure 825748DEST_PATH_IMAGE007
；
For the voltage difference matrix
Figure 31602DEST_PATH_IMAGE006
And the current difference matrix
Figure 882883DEST_PATH_IMAGE007
Performing linear regression calculation to obtain a linear regression equation of each distribution transformer, wherein the expression of the linear regression equation of each distribution transformer is as follows:
Figure 47148DEST_PATH_IMAGE008
，
in the formula (I), the compound is shown in the specification,
Figure 367402DEST_PATH_IMAGE009
is as follows
Figure 111367DEST_PATH_IMAGE010
The difference in the voltages of the stage distribution transformers,
Figure 613893DEST_PATH_IMAGE011
is as follows
Figure 417901DEST_PATH_IMAGE010
The difference in the currents of the stage distribution transformer,
Figure 723986DEST_PATH_IMAGE012
is as follows
Figure 537221DEST_PATH_IMAGE010
The difference in current at a certain point in time of the stage distribution,
Figure 628674DEST_PATH_IMAGE013
in order to obtain the intercept of the signal,
Figure 869162DEST_PATH_IMAGE014
is as follows
Figure 164009DEST_PATH_IMAGE010
The regression coefficient of the table distribution variation,
Figure 515356DEST_PATH_IMAGE015
is as follows
Figure 461315DEST_PATH_IMAGE010
Variance of voltage difference values of the station distribution transformer;
judging whether the variance of the voltage difference value of a certain distribution transformer is larger than a first preset value or not based on the obtained linear regression equation of each distribution transformer;
if the variance of the voltage difference value of a certain distribution transformer is not larger than a first preset value, judging whether the absolute value of the regression coefficient of the certain distribution transformer is smaller than a second preset value or not;
and if the absolute value of the regression coefficient of one distribution transformer is smaller than a second preset value, a voltage interference device exists in the distribution area.
2. The method as claimed in claim 1, wherein the voltage time-series matrix is calculated
Figure 872705DEST_PATH_IMAGE001
The expression of the correlation coefficient between every two three-phase voltages of a certain set in a single day is as follows:
Figure 176820DEST_PATH_IMAGE016
，
in the formula (I), the compound is shown in the specification,
Figure 394174DEST_PATH_IMAGE017
is composed of
Figure 335586DEST_PATH_IMAGE018
Samples and
Figure 793243DEST_PATH_IMAGE019
the correlation coefficient of the sample is determined,
Figure 187315DEST_PATH_IMAGE020
is composed of
Figure 5098DEST_PATH_IMAGE018
Samples and
Figure 535437DEST_PATH_IMAGE019
the covariance of the samples is determined by the covariance,
Figure 662531DEST_PATH_IMAGE021
is composed of
Figure 543899DEST_PATH_IMAGE018
The standard deviation of the sample is determined,
Figure 165373DEST_PATH_IMAGE022
is composed of
Figure 815797DEST_PATH_IMAGE019
The standard deviation of the sample is determined,
Figure 349678DEST_PATH_IMAGE023
the formula is solved for the covariance,
Figure 983922DEST_PATH_IMAGE024
is composed of
Figure 143507DEST_PATH_IMAGE018
The average value of the samples is calculated,
Figure 914017DEST_PATH_IMAGE025
is composed of
Figure 117334DEST_PATH_IMAGE019
Average of samples.
3. The method according to claim 1, wherein if the variance of the voltage difference of one distribution transformer is greater than a first predetermined value or the absolute value of the regression coefficient of one distribution transformer is not less than a second predetermined value, the voltage interference device does not exist in the distribution area.
4. The method according to claim 1, wherein after the voltage interference device exists in the distribution area if an absolute value of a regression coefficient of a distribution transformer is smaller than a second preset value, the method further comprises:
the method comprises the steps of automatically storing a station area with a voltage interference device into a database in a work order form based on a distributed message queue of a station in data, and sending the station area to a user corresponding to equipment in a message reminding form, wherein the work order comprises a station area name, a line name, work order occurrence time and overtime reminding.
5. The method as claimed in claim 1, wherein the second voltage time-series matrix is calculated
Figure 973295DEST_PATH_IMAGE004
The expression of the three-phase voltage difference value under each time series is as follows:
Figure 936572DEST_PATH_IMAGE026
，
in the formula (I), the compound is shown in the specification,
Figure 296009DEST_PATH_IMAGE027
is the difference value of the three-phase voltage,
Figure 437271DEST_PATH_IMAGE028
is a phase of the voltage value of the a-phase,
Figure 514949DEST_PATH_IMAGE029
is a value of the b-phase voltage,
Figure 281917DEST_PATH_IMAGE030
is a c-phase voltage value.
6. A district voltage jamming unit detecting system based on a station in data is characterized by comprising:
a construction module configured to respectively construct a first voltage time series matrix based on the distribution transformer voltage time series data and the distribution transformer current time series data of the station in the acquired data
Figure 761440DEST_PATH_IMAGE001
And a first current time series matrix
Figure 572138DEST_PATH_IMAGE002
；
A first calculation module configured to calculate the first voltage time series matrix
Figure 137112DEST_PATH_IMAGE001
Obtaining the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, and obtaining the minimum value of the correlation coefficient between every two distribution and transformation three-phase voltages in a single day, so that the minimum sequence of the correlation coefficients between the distribution and transformation phase voltages is obtained
Figure 442191DEST_PATH_IMAGE003
；
A screening module configured to screen out the minimal sequence
Figure 776221DEST_PATH_IMAGE003
The correlation coefficient between each distribution phase voltage of which the sum is less than the preset value is constructed, and a corresponding second voltage time sequence matrix is constructed
Figure 259286DEST_PATH_IMAGE004
And a second current time series matrix
Figure 311555DEST_PATH_IMAGE005
；
A second calculation module configured to calculate the second voltage time-series matrices, respectively
Figure 154747DEST_PATH_IMAGE004
The three-phase voltage difference value of each time series in the second current time series matrix
Figure 608862DEST_PATH_IMAGE005
The difference value of three-phase current under each time sequence is used as a voltage difference value matrix
Figure 761363DEST_PATH_IMAGE006
Sum current difference matrix
Figure 35350DEST_PATH_IMAGE007
；
A third calculation module configured to calculate the matrix of voltage differences
Figure 682232DEST_PATH_IMAGE006
And the current difference matrix
Figure 990853DEST_PATH_IMAGE007
Performing linear regression calculation to obtain a linear regression equation of each distribution transformer, wherein the expression of the linear regression equation of each distribution transformer is as follows:
Figure 815721DEST_PATH_IMAGE008
，
in the formula (I), the compound is shown in the specification,
Figure 373741DEST_PATH_IMAGE009
is as follows
Figure 27576DEST_PATH_IMAGE010
The difference in the voltages of the stage distribution transformers,
Figure 456284DEST_PATH_IMAGE031
is as follows
Figure 950588DEST_PATH_IMAGE010
The difference in the currents of the stage distribution transformer,
Figure 464746DEST_PATH_IMAGE012
is as follows
Figure 656693DEST_PATH_IMAGE010
The difference in current at a certain point in time of the stage distribution,
Figure 549694DEST_PATH_IMAGE013
in order to obtain the intercept of the signal,
Figure 106577DEST_PATH_IMAGE014
is as follows
Figure 639189DEST_PATH_IMAGE010
The regression coefficient of the table distribution variation,
Figure 900406DEST_PATH_IMAGE015
is as follows
Figure 146449DEST_PATH_IMAGE010
Variance of voltage difference values of the station distribution transformer;
the first judgment module is configured to judge whether the variance of the voltage difference value of a certain distribution transformer is larger than a first preset value or not based on the obtained linear regression equation of each distribution transformer;
the second judgment module is configured to judge whether the absolute value of the regression coefficient of a certain distribution transformer is smaller than a second preset value or not if the variance of the voltage difference value of the certain distribution transformer is not larger than the first preset value;
and the output module is configured to determine that the voltage interference device exists in the distribution area if the absolute value of the regression coefficient of one distribution transformer is smaller than a second preset value.
7. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any of claims 1 to 5.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 5.
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