CN117031110A - Power data waveform abnormality identification method and system based on high-frequency sampling - Google Patents
Power data waveform abnormality identification method and system based on high-frequency sampling Download PDFInfo
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Abstract
The application discloses a method and a system for identifying waveform anomalies of power data based on high-frequency sampling, wherein the method comprises the following steps: step 1, restraining random errors in a sampling process by high-frequency oversampling on an MU side, and outputting sampling point data to a protection device according to SV messages; step 2, after the protection device is connected with the SV message, carrying out difference synchronization on sampling point data in the SV message, and when the difference is synchronous, taking a plurality of pairs of available paired point data adjacent to the difference position to carry out difference verification, wherein the sampling point corresponding to the difference value is suspicious when the verification is abnormal; and step 3, the protection device monitors the number of the suspicious marked sampling points in the counting period, and if the number exceeds an abnormality judgment threshold value, the protection device judges that the data waveform is abnormal and locks the protection logic. The method has the advantages of simple algorithm, small calculated amount, small influence on the performance of the protection device, high applicability and improvement on the reliability of the power grid.
Description
Technical Field
The application belongs to the technical field of power data and memory abnormality identification, and relates to a method and a system for identifying waveform abnormality of power data based on high-frequency sampling.
Background
In the data acquisition and electrical measurement operation of an electric power system, a full-cycle fourier algorithm is generally used for analyzing discrete alternating current sampling data to obtain the fundamental wave effective value and the phase of an alternating current signal, and measurement data of the system are obtained.
When interference data exists in the sampled data, errors exist in the fundamental wave effective value and the phase angle calculated by the full-cycle Fourier algorithm, so that the measurement result of an alternating current signal is inconsistent with the actual value of the system, and protection malfunction or refusal is caused. Erroneous system measurement data can cause incorrect protection actions, which affect the normal operation of the power system. Because the original signals are interfered, the original signals are difficult to directly discriminate through measurement results, and a detection scheme based on the intermittent point identification and filtering analysis can introduce larger calculated amount and time delay links, which is not beneficial to the real-time analysis of alternating current signals.
Therefore, a method for identifying waveform anomalies of power data based on high-frequency sampling is needed.
Disclosure of Invention
In order to solve the defects in the prior art, the application provides a method and a system for identifying waveform anomalies of power data based on high-frequency sampling.
The application adopts the following technical scheme.
A method for power data waveform anomaly identification based on high frequency sampling, comprising the steps of:
step 1, restraining random errors in a sampling process by high-frequency oversampling on an MU side, and outputting sampling point data to a protection device according to SV messages;
step 2, after the protection device is connected with the SV message, carrying out difference synchronization on sampling point data in the SV message, and when the difference is synchronous, taking a plurality of pairs of available paired point data adjacent to the difference position to carry out difference verification, wherein the sampling point corresponding to the difference value is suspicious when the verification is abnormal;
and step 3, the protection device monitors the number of the suspicious marked sampling points in the counting period, and if the number exceeds an abnormality judgment threshold value, the protection device judges that the data waveform is abnormal and locks the protection logic.
Preferably, in step 1, the high-frequency oversampling uses the standard output frequency of the SV message as the reference frequency, and performs continuous sampling according to the frequency M times the reference frequency, and then divides the result of continuous sampling by M to implement random error suppression generated in the sampling process, where M is an integer.
Preferably, in step 2, n intervals are set, and each point on the left and right of the difference position is taken according to each interval to form a pair of pairs of points, and n pairs of points are formed;
and according to the sequence number field in the SV message, confirming whether n pairs of paired point data are continuous, if the points with missing data exist, the corresponding paired point data are not available, and discarding the paired point data.
Preferably, in step 2, a difference check is performed on 2 pairs of available paired point data adjacent to the difference location.
Preferably, in step 2, the difference checking process is:
(1) Based on each pair of available paired point data V m 、V n The following calculations were performed:
D mn ＝(V m +V n )+(V m +V n )/C mn
wherein D is mn To be available as paired data V m 、V n Is calculated according to the calculation result of (2); c (C) mn Is a check coefficient;
(2) Selecting a maximum value D from the calculation results of all available paired point data max And minimum value D min And calculates an error value d= (D) max -D min )；
(3) And comparing the error value D with an error value threshold, if the error value D is larger than the error value threshold, checking abnormality, and marking the sampling point corresponding to the error value as suspicious.
Preferably, the error value threshold is set according to the current channel nominal amplitude.
Preferably, the error value threshold is set to 30% of the current channel nominal amplitude.
Preferably, in step 2, a difference value check is performed on the sampling data of each sampling channel included in different SV messages sent by a plurality of MU devices accessed by the protection device.
Preferably, in step 3, the statistical period is 20ms, and the abnormality determination threshold is set to 15.
A system for identifying waveform abnormality of power data based on high-frequency sampling comprises a high-frequency oversampling module, an SV framing transmitting module, an SV message receiving module, a difference synchronization module, a difference verification module and a protection function module, wherein the high-frequency oversampling module and the SV framing transmitting module are arranged in an MU device;
the high-frequency oversampling module is used for sampling an alternating current signal of the power system at a high frequency in the MU device;
the SV framing transmitting module is used for framing the sampled data into an SV message in the MU device and transmitting the SV message to the protecting device;
the SV message receiving module is used for receiving the SV message sent by the MU device in the protection device;
the difference synchronization and difference verification module is used for performing difference synchronization and difference verification on the sampling data in the received SV message in the protection device, and marking the sampling points corresponding to the differences as suspicious when the verification is abnormal;
the protection function module is used for counting the number of suspicious sampling points marked in a period in the protection device, judging that the data waveform is abnormal if the number exceeds an abnormal judgment threshold value, and locking the protection logic.
The application has the beneficial effects that compared with the prior art:
according to the application, through high-frequency oversampling and difference value verification, abnormal waveforms caused by memory abnormality and data abnormality can be detected rapidly, erroneous judgment of a protection function is avoided, and the reliability of a power grid is improved. Wherein random errors in the sampling process can be suppressed by high frequency oversampling; when the difference is synchronous, a plurality of pairs of available paired data adjacent to the difference position are taken for difference verification, and the proposed difference verification and error value threshold setting scheme has small calculated amount, can accurately verify abnormality and mark that sampling points corresponding to the difference are suspicious; furthermore, the application accurately identifies the data waveform abnormality by comparing the counted number of the marked suspicious sampling points in the period with the abnormality judgment threshold value, and simultaneously locks the protection logic, thereby having small influence on the performance of the protection device and high applicability.
The application analyzes waveform abnormality characteristics of interference data in sampling data caused by problems of electromagnetic disturbance, transmission distortion, memory soft errors and the like, proposes a preferred scheme for setting an error value threshold according to the rated amplitude of a current channel and providing an error value threshold, a statistical period and an abnormality judgment threshold value, and has highest abnormality recognition efficiency and accuracy.
Drawings
FIG. 1 is a schematic diagram of a method of waveform anomaly identification for power data based on high frequency sampling in accordance with the present application;
FIG. 2 is a simplified system architecture diagram of a power data waveform anomaly identification system based on high frequency sampling in accordance with the present application;
FIG. 3 is a graph of the results of a memory anomaly induced anomaly waveform and a fast difference check of the present application;
FIG. 4 is a graph of the results of electromagnetic disturbance induced anomaly waveforms and the rapid difference verification of the present application;
fig. 5 is a graph of the results of transmission distortion-induced outlier waveforms and the fast difference verification of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. The described embodiments of the application are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art without making any inventive effort, are within the scope of the present application.
As shown in fig. 1, embodiment 1 of the present application provides a method for identifying waveform anomalies of power data based on high-frequency sampling, and in a preferred but non-limiting embodiment of the present application, the method specifically includes the following steps:
step 1, restraining random errors in a sampling process by high-frequency oversampling on an MU side, and outputting sampling point data to a protection device according to SV messages;
SV (sample value) is digital sampling data transmitted by a process layer of an intelligent substation in the intelligent power grid, is SV Ethernet data based on Ethernet IEEE802.3, and accords with IEC61850 standard.
MU (Merging Unit) is an intelligent component in an intelligent substation, and is a physical Unit for performing time-dependent combination on current and voltage data from a secondary converter, which may be a component of a transformer or a discrete Unit. Means a device for combining and synchronizing the electric quantity transmitted by the primary transformer and forwarding the processed digital signal to the spacer layer equipment according to a specific format
Still more preferably, the present application outputs 4000-point sampled data at uniform intervals per second, according to the IEC61850 specification. The high-frequency oversampling takes 4000Hz frequency (standard output frequency of SV message) as reference frequency, continuous sampling is carried out according to the frequency M times of the reference frequency, and then the continuous sampling result is divided by M to realize random error suppression generated in the sampling process, wherein M is an integer. The value of the multiplying factor M is 32.
Step 2, after the protection device is connected with the SV message, carrying out difference synchronization on sampling point data in the SV message, and taking a plurality of pairs of available paired point data adjacent to the difference position for carrying out quick difference verification when the difference is synchronous, wherein the sampling points corresponding to the mark difference value are suspicious when the verification is abnormal;
in specific implementation, 50Hz alternating current is adopted in the power grid of China, analog quantity signals such as current and voltage are periodic continuous signals based on sine waves, the signals such as the current and the voltage are required to be collected and measured in real time, and a current sampling value is obtained and used for calculating various relay protection functions. The discrete sampling data obtained by sampling is used for describing the original continuous analog quantity data such as current, voltage and the like. If the same signal is sampled on two devices, the two devices may not be sampled at the same time, so if the results of two sides are directly and one-to-one placed together, it is found that there is an angle difference between the sampled data of two sides, the angle difference may cause erroneous judgment of the protection function, and an erroneous decision is made, so that the reliability of the power system is affected, and before the sampled data is used, a solution is needed to solve the problem of sampling the data of two sides at the same time, so as to realize sampling synchronization. In the field of relay protection, two methods generally exist for synchronizing sampling data at two ends, one method is to interpolate and resample the data according to sampling time after receiving opposite side sampling data, so as to obtain new data at the same time as local sampling data, and realize sampling data synchronization; and the other is to adjust the sampling time of the two-end equipment by various synchronization methods, so that the two-end equipment samples at the same time and marks sequence numbers, and the sampling data of the two ends are aligned according to the sequence numbers, thereby realizing the sampling data synchronization.
Further preferably, n intervals are set, and each point on the left and right of the difference position is taken for each interval to form a pair of pairs of points, for example: taking 1-6, 2-5 and 3-4 when the difference positions are between 3 and 4 to form 3 pairs;
according to the sequence number field in the SV message, confirming whether n pairs of data forming a point are continuous, if there is a point with missing data, the corresponding pair of data is not available, and discarding the pair of data, for example: if the point data No. 5 is missing, discarding the data 2-5;
eventually a minimum of 2 pairs of available paired point data are guaranteed to be owned.
The quick difference value checking process comprises the following steps:
(1) Based on each pair of available paired point data V m 、V n The following calculations were performed:
D mn ＝(V m +V n )+(V m +V n )/C mn
wherein D is mn To be available as paired data V m 、V n Is calculated according to the calculation result of (2);
C mn for the coefficient of calibration, cmn is a value related to the sampling frequency and the spacing span between two points, C in this embodiment 16 ＝51，C 25 ＝143，C 34 ＝1296；
The method can also be applied to other sampling frequencies by adjusting the value of the check coefficient Cmn;
by adjusting the value of the check coefficient Cmn, more than 3 sets of consecutive sampled data may also be introduced for the calculation of the error value D. If, for example, 8 data are used for 4 sets, four of 18, 27, 36, 45 are needed, and the Cmn needed for each set calculation is recalculated.
(2) Selecting a maximum value D from the calculation results of all available paired point data max And minimum value D min And calculates an error value d= (D) max -D min )；
For example, take D 16 、D 25 、D 34 Maximum value D of (2) max And minimum value D min Calculate error value d= (D) max -D min )；
(3) And comparing the error value D with an error value threshold, if the error value D is larger than the error value threshold, checking abnormality, and marking the sampling point corresponding to the error value as suspicious.
Wherein the error value threshold is set based on the current channel nominal amplitude.
If the error value D is greater than 30% of the rated amplitude of the current channel, marking the sampling point as suspicious;
and carrying out one-time quick difference value verification on sampling data contained in different SV messages sent by a plurality of MU devices accessed by the protection device and a plurality of sampling channels contained in the SV messages sent by each MU device. The selection points in the steps, (1) - (3) are calculated and the judgment result is obtained, which describes one sampling channel, and each channel in the plurality of sampling channels needs to be executed once.
And step 3, the protection device monitors the number of the suspicious marked sampling points in the counting period, and if the number exceeds an abnormality judgment threshold value, the protection device judges that the data waveform is abnormal and locks the protection logic.
The protection function counts the number X of suspicious points of sampling points in the last counting period T, and judges that the waveform of data is abnormal when X is larger than an abnormality judgment threshold value Y, and locks protection;
the statistics period T and the abnormal judgment threshold Y can be correspondingly adjusted according to the sensitivity requirements of different protection devices and the influence of different protection principles.
As the statistical period T may be 20ms, the abnormality determination threshold value Y may be set to 9 points. Or the statistical period T may be 20ms, and the abnormality determination threshold value Y may be set to 15 points. Wherein the abnormality determination threshold value Y is preferably set to 15 points.
As shown in fig. 2, embodiment 2 of the present application provides a power data waveform anomaly identification system based on high-frequency sampling, where the anomaly identification system includes a high-frequency oversampling module, an SV framing transmitting module, and an SV message receiving module, a difference synchronization, a fast difference verification module, and a protection function module, which are disposed in a protection device;
the high-frequency oversampling module is used for sampling an alternating current signal of the power system at a high frequency in the MU device;
the SV framing transmitting module is used for framing the sampled data into an SV message in the MU device and transmitting the SV message to the protecting device;
the SV message receiving module is used for receiving the SV message sent by the MU device in the protection device;
the difference synchronization and quick difference verification module is used for carrying out difference synchronization and quick difference verification on sampling data in the received SV message in the protection device, and marking that the sampling point corresponding to the difference is suspicious when the verification is abnormal;
the protection function module is used for judging whether the sampling data is available or not based on the processed sampling data in the protection device, and performing calculation of protection logic: counting the number of suspected sampling points marked in the period, and if the number exceeds an abnormality judgment threshold value, judging that the waveform of the data is abnormal, and locking protection logic.
The present application can perform anomaly recognition on power sampling data waveforms with obvious anomaly characteristics, so that the actual input of the algorithm is the data of the anomaly waveforms due to some reasons, and fig. 3-5 exemplify the waveforms of three anomaly characteristics, and the effect of the algorithm. Specifically, fig. 3 is a result of the abnormal waveform caused by the memory abnormality and the quick difference value verification of the present application, fig. 4 is a result of the abnormal waveform caused by the electromagnetic disturbance and the quick difference value verification of the present application, and fig. 5 is a result of the abnormal waveform caused by the transmission distortion and the quick difference value verification of the present application, as can be seen from fig. 3 to 5, the present application can calculate a significantly higher difference value D in an interval of the abnormal waveform for three different example abnormal waveforms caused by the memory abnormality and the data abnormality, and has a significantly recognition capability of the abnormal waveform.
The application has the beneficial effects that compared with the prior art:
according to the application, through high-frequency oversampling and difference value verification, abnormal waveforms caused by memory abnormality and data abnormality can be detected rapidly, erroneous judgment of a protection function is avoided, and the reliability of a power grid is improved. Wherein random errors in the sampling process can be suppressed by high frequency oversampling; when the difference is synchronous, a plurality of pairs of available paired data adjacent to the difference position are taken for difference verification, and the proposed difference verification and error value threshold setting scheme has small calculated amount, can accurately verify abnormality and mark that sampling points corresponding to the difference are suspicious; furthermore, the application accurately identifies the data waveform abnormality by comparing the counted number of the marked suspicious sampling points in the period with the abnormality judgment threshold value, and simultaneously locks the protection logic, thereby having small influence on the performance of the protection device and high applicability.
The application analyzes waveform abnormality characteristics of interference data in sampling data caused by problems of electromagnetic disturbance, transmission distortion, memory soft errors and the like, proposes a preferred scheme for setting an error value threshold according to the rated amplitude of a current channel and providing an error value threshold, a statistical period and an abnormality judgment threshold value, and has highest abnormality recognition efficiency and accuracy.
The present disclosure may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for performing the operations of the present disclosure can be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present disclosure are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information of computer readable program instructions, which can execute the computer readable program instructions.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made to the specific embodiments of the application without departing from the spirit and scope of the application, which is intended to be covered by the claims.
Claims (10)
1. A method for identifying waveform anomalies of power data based on high-frequency sampling is characterized in that:
the method comprises the following steps:
step 1, restraining random errors in a sampling process by high-frequency oversampling on an MU side, and outputting sampling point data to a protection device according to SV messages;
step 2, after the protection device is connected with the SV message, carrying out difference synchronization on sampling point data in the SV message, and when the difference is synchronous, taking a plurality of pairs of available paired point data adjacent to the difference position to carry out difference verification, wherein the sampling point corresponding to the difference value is suspicious when the verification is abnormal;
and step 3, the protection device monitors the number of the suspicious marked sampling points in the counting period, and if the number exceeds an abnormality judgment threshold value, the protection device judges that the data waveform is abnormal and locks the protection logic.
2. A method of high frequency sampling based power data waveform anomaly identification as claimed in claim 1, wherein:
in step 1, the high-frequency oversampling takes the standard output frequency of the SV message as the reference frequency, continuously samples at a frequency M times the reference frequency, and divides the result of continuous sampling by M to realize random error suppression generated in the sampling process, where M is an integer.
3. A method of high frequency sampling based power data waveform anomaly identification as claimed in claim 1, wherein:
in the step 2, n intervals are set, and each point on the left and right of the difference value position is taken according to each interval to form a pair of paired points, wherein n pairs of paired points are formed;
and according to the sequence number field in the SV message, confirming whether n pairs of paired point data are continuous, if the points with missing data exist, the corresponding paired point data are not available, and discarding the paired point data.
4. A method of high frequency sampling based power data waveform anomaly identification as claimed in claim 1, wherein:
in step 2, a minimum of 2 pairs of available paired point data adjacent to the difference position are taken to perform difference verification.
5. A method of high frequency sampling based power data waveform anomaly identification as claimed in claim 1, wherein:
in step 2, the difference value checking process is as follows:
(1) Based on each pair of available paired point data V m 、V n The following calculations were performed:
D mn ＝(V m +V n )+(V m +V n )/C mn
wherein D is mn To be available as paired data V m 、V n Is calculated according to the calculation result of (2); c (C) mn Is a check coefficient;
(2) Selecting a maximum value D from the calculation results of all available paired point data max And minimum value D min And calculates an error value d= (D) max -D min )；
(3) And comparing the error value D with an error value threshold, if the error value D is larger than the error value threshold, checking abnormality, and marking the sampling point corresponding to the error value as suspicious.
6. A method of high frequency sampling based power data waveform anomaly identification as claimed in claim 5, wherein:
the error value threshold is set according to the current channel nominal amplitude.
7. The method for identifying waveform anomalies in power data based on high-frequency sampling as recited in claim 6, wherein:
the error value threshold is set to 30% of the current channel nominal amplitude.
8. A method of high frequency sampling based power data waveform anomaly identification as claimed in claim 1, wherein:
in step 2, a difference value check is performed on the sampling data of each sampling channel contained in different SV messages sent by a plurality of MU devices accessed by the protection device.
9. A method of high frequency sampling based power data waveform anomaly identification as claimed in claim 1, wherein:
in step 3, the statistical period is 20ms, and the abnormality determination threshold value is set to 15.
10. A system for waveform anomaly identification of power data based on high frequency sampling, using the method of any one of claims 1-9, characterized in that:
the abnormality identification system comprises a high-frequency oversampling module, an SV framing transmission module, an SV message receiving module, a difference synchronization module, a difference verification module and a protection function module, wherein the high-frequency oversampling module and the SV framing transmission module are arranged in the MU device;
the high-frequency oversampling module is used for sampling an alternating current signal of the power system at a high frequency in the MU device;
the SV framing transmitting module is used for framing the sampled data into an SV message in the MU device and transmitting the SV message to the protecting device;
the SV message receiving module is used for receiving the SV message sent by the MU device in the protection device;
the difference synchronization and difference verification module is used for performing difference synchronization and difference verification on the sampling data in the received SV message in the protection device, and marking the sampling points corresponding to the differences as suspicious when the verification is abnormal;
the protection function module is used for counting the number of suspicious sampling points marked in a period in the protection device, judging that the data waveform is abnormal if the number exceeds an abnormal judgment threshold value, and locking the protection logic.
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| CN117686035A (en) * | 2024-02-01 | 2024-03-12 | 南京南瑞继保工程技术有限公司 | Distributed active defense system, method, equipment and medium of oil filling equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117686035A (en) * | 2024-02-01 | 2024-03-12 | 南京南瑞继保工程技术有限公司 | Distributed active defense system, method, equipment and medium of oil filling equipment |
| CN117686035B (en) * | 2024-02-01 | 2024-04-26 | 南京南瑞继保工程技术有限公司 | Distributed active defense system, method, equipment and medium of oil filling equipment |
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