CN113447745A - Method for recording and processing station domain virtual fault - Google Patents
Method for recording and processing station domain virtual fault Download PDFInfo
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Abstract
The invention relates to a station domain virtual fault recording processing method.A device with a recording function in a station executes local recording according to the sampling frequency and the recording starting condition of the device; the station domain virtual fault recording device collects fault recording files of all equipment through a station domain Ethernet communication network; after the virtual fault recording device carries out self-adaptive correction on the sampling time deviation of the uploaded fault recording file, the virtual fault recording device carries out virtual resampling processing on the uploaded recording data, and data synchronization is realized; and finally, synthesizing the station domain fault recording file by the virtual fault recording device. The wave recording tasks are distributed on each interval device, so that the cost of a fault wave recording device is reduced, the requirement on the number of channels of the wave recording device is reduced, and the wiring is simpler; the fault analysis breaks through the limitation of 'interval', and analysis is performed from the perspective of the total station area, so that the fault process and the action process of the protection device are traced back completely after the fault, and the synchronism of the wave recording data is ensured.
Description
Technical Field
The invention relates to an information processing technology, in particular to a station domain virtual fault recording processing method.
Background
The power system fault recording is mainly used for recording and analyzing the change process of relevant parameters and the action behavior of a protection device after the occurrence of large disturbance of a power system. At present, there are generally two methods for implementing a fault recording system: firstly, a special centralized fault recorder is adopted to collect important signals such as voltage, current, action contacts of a protection device, auxiliary contacts of a circuit breaker and the like; the other is that the protection device has a fault recording function, records the waveform of the relevant electrical parameter in a period of time before and after the protection action, and transmits the waveform to the local wave recording master station. The latter has a certain idea of distributed wave recording, but it cannot synchronously record the waveform of the electrical parameter of other lines or devices besides the protected line or device. The centralized fault recording device is mature, the number of recording channels is limited, and the asynchronous acquisition of the centralized fault recording device of each station brings great difficulty to the analysis of system faults. The distributed fault recording system is a system in which the recording units and the analysis units distributed in each electrical interval or each transformer substation are connected into a whole through a communication network to jointly complete the fault recording and analysis functions of the power system or a part of the power system.
Disclosure of Invention
Aiming at the problem that the wave recording data of each fault wave recording unit cannot be synchronized when a main clock of a fault wave recording device is lost, a station domain virtual fault wave recording processing method is provided, is used for building a fault wave recording data centralized analysis system of a total station domain, carries out unified scheduling and management on devices with fault wave recording functions in the station domain, and belongs to distributed fault wave recording. The fault recording unit is not required to adopt the same sampling frequency, but the requirement on the fault recording unit is reduced and the recording flexibility is improved through a synchronous mode of resampling recording data.
The technical scheme of the invention is as follows: a station domain virtual fault recording processing method is characterized in that equipment with a recording function in a station executes local recording according to the sampling frequency and the recording starting condition of the equipment; the station domain virtual fault recording device collects fault recording files of all equipment through a station domain Ethernet communication network; after the virtual fault recording device carries out self-adaptive correction on the sampling time deviation of the uploaded fault recording file, the virtual fault recording device carries out virtual resampling processing on the uploaded recording data, and the virtual resampling frequency reference selects the sampling frequency of any fault recording file to realize data synchronization; and finally, synthesizing a station domain fault recording file by using the virtual fault recording device, wherein the file comprises fault recording data of each interval of the station domain.
Further, a specific implementation method for performing adaptive correction on the sampling time deviation of the uploaded fault recording file is as follows:
the equipment at each interval in the station domain adopts clock synchronization, the time of recording sampling data in the fault recording file of each equipment is classified according to the time quality, and the recording file set with the time deviation of less than 1ms is recorded as a synchronization set S; recording a wave recording file set with time deviation of more than 1ms AS an asynchronous set AS; the recording time offset is calculated as follows:
(a) firstly, calculating time deviation according to the switching value: for the recording file a in the asynchronous set AS, searching a recording file with a common switching value channel in the synchronous set S, and recording the recording file AS S; the common switching value channel is judged according to the fact that the channel names are the same, the recording time of the file s is used as a reference, and the time deviation between the file a and the file s is calculated according to the switching value displacement time and is marked as delta t;
(b) if the same switching value channel does not exist, calculating the time deviation according to the analog quantity: for the recording file a in the asynchronous set AS, searching a recording file which has a common analog channel with the recording file a in the synchronous set S, and marking the recording file AS b; the common analog quantity channel is judged according to the fact that the channel names are the same and the channel types are the same; and calculating the time deviation of the file a and the file b according to the following formula by taking the recording time of the file b as a reference:
in the formula: x, Y are the data of the common analog channel in the fault recording files a and b respectively; j is a sampling point serial number; n is the number of sampling points; delta is the deviation number of the sampling points; maxbias is the number of sampling points corresponding to the maximum possible time deviation; Δ T is the sampling period; y [ j ] is the sampling value of the fault recording file b at the jth sampling point; x [ j-delta ] is a sampling value of the fault recording file a at j-delta;
the essence of the above formula is that the data in X are continuously moved until the correlation between the data and the Y is maximum, and the time deviation bias can be calculated by using the delta value at the moment; and correcting the initial wave recording time in the wave recording file a by using the calculated time deviation, namely finishing the correction of the time deviation.
Further, the virtual resampling process: selecting a fault recording file as a sampling reference, and selecting a resampling method according to the sampling frequency of the sampling reference, for example, selecting a linear interpolation resampling method when the sampling frequency is higher than 4kHz, or selecting an extraction interpolation resampling method when the sampling frequency is lower than 4 kHz.
Further, the linear interpolation resampling method:
for the analog, it is calculated as follows:
in the formula, t*For the interpolated virtual sampling instant, t-1 and t are t respectively*The front and back physical sampling time, i (t) is an analog sampling value;
for the switching value, it is calculated as follows:
in the formula, t*For interpolation virtual miningSample times, t-1 and t are t*The front and back physical sampling time, d (t) is the sampling value of the switching value; round () is a rounding operator.
Further, the decimation interpolation resampling method: sequentially carrying out L-time interpolation and digital low-pass filter h on the analog quantity signal1(k) Digital low-pass filter h2(k) Extracting M times; x (k) is the input signal sequence, k is the number of interpolation points, and the sampling frequency is fs；h1(k) For a digital low-pass filter, changing a zero value point into an interpolation sample point; h is2(k) Is a digital low-pass filter for preventing aliasing distortion before extraction, and both the digital low-pass filters work at the same sampling frequency LfsThe above step (1);
for the switching value signal, firstly carrying out L-time interpolation, and inserting (L-1) sampling values between known adjacent sampling points, wherein the inserted values are the same as the previous points; then, M times of extraction is carried out, so that the resampling of the switching value signal is completed.
The invention has the beneficial effects that: according to the station domain virtual fault recording processing method, the recording tasks are dispersed on each interval device, so that the cost of a fault recording device is reduced, the requirement on the number of channels of the wave recording device is reduced, and the wiring is simpler; the fault analysis breaks through the limitation of 'interval', and analysis can be performed from the perspective of a total station area, so that the fault process and the action process of a protection device can be traced back completely after the fault; and the synchronism of the recording data can be ensured under the condition that the time tick signal is lost by the physical fault recording unit.
Drawings
FIG. 1 is a diagram of the application architecture of the station-domain virtual fault recorder of the present invention;
FIG. 2a is a diagram of a cascaded implementation of interpolation and decimation in accordance with the present invention;
FIG. 2b is a diagram of a combined cascaded implementation of interpolation and decimation of FIG. 2a in accordance with the present invention;
FIG. 3 is a high efficiency flow block diagram of the present invention;
fig. 4 is a resampling diagram of the switching value of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
The station domain virtual fault recording device is composed of distributed physical fault recording units and a recording network which are dispersed at intervals, the station domain virtual fault recording device shown in figure 1 is applied to an architecture diagram, and after data are processed by the station domain virtual fault recording devices, the data are uploaded to a master station centralized control scheduling center through a recording data network.
1. The physical fault recording unit is equipment with a recording function and is dispersed at each interval, such as a comprehensive protection device, a merging unit, an intelligent IO and the like. And the fault recording of the interval analog quantity and the switching value is carried out. Each physical fault recording unit executes the sampling frequency of the physical fault recording unit according to the function of the physical fault recording unit, and the recording starting condition executes the local recording function.
2. The station domain virtual fault recording device collects fault recording files formed by each physical fault recording unit through a station domain Ethernet communication network;
3. the virtual fault recording device carries out self-adaptive correction on the sampling time deviation of the fault recording file transmitted by the physical fault recording unit;
4. the virtual fault recording device performs linear interpolation resampling on the recording data uploaded by the physical fault recording unit, and the resampling frequency reference can select any fault recording file sampling frequency;
5. and synthesizing a station domain fault recording file by the virtual fault recording device, wherein the file comprises fault recording data of each interval of the station domain.
(1) Physical fault recording unit
The fault recording device is dispersedly arranged in equipment with wave recording functions at intervals and is responsible for fault recording of the interval analog quantity and the switching value, so that the problems of multiple wave recording channels, complex wiring and the like of the traditional fault wave recording device are solved. The fault record data is stored in the IEEE C37.111 COMTRADE file format. The fault recording starting criterion comprises switching value deflection starting, analog quantity mutation starting, analog quantity out-of-limit starting and the like. The fault data is recorded at both ends of A, B. The section A is data before failure, and the recording length is not less than 2 cycles; and the section B is data after the fault. Each physical fault recording unit independently samples and independently forms a fault recording file.
(2) Adaptive correction of sampling time offset
The physical fault recording units at intervals in the station domain adopt clock synchronization, and the synchronization modes include but are not limited to GPS synchronization, Beidou synchronization and local high-precision clock source synchronization. The synchronization mode can theoretically obtain 1us time synchronization precision. However, when the time synchronization module fails due to various reasons, the physical fault recording unit can only maintain the time accuracy through the self time keeping capability. The time keeping capability of the general device is about 1s/24 h. However, the accurate time tag has important significance for fault analysis, and the time accuracy can reach 1ms to meet the requirement of fault analysis.
Firstly, when each physical fault recording unit forms a fault recording file, recording the time quality (time quality) information of the sampling data of the recording unit at the moment in a configuration file (with the extension name of cfg) of COMTRADE, wherein the format is as follows:
tmq_code<CR/LF>
wherein tmq _ code is a 4-bit time quality indicator code conforming to the IEEE Std C37.118 standard, and the format is shown in Table 1.
TABLE 1
Then, after collecting the fault recording files of all the fault recording units, finding out all the recording file sets with tmq _ code values not exceeding 7 (i.e. time deviation <1ms), and recording as a synchronization set S; all sets of recording files with tmq _ code values exceeding 7 (i.e. time offset >1ms) are recorded AS an out-of-synch set AS. The recording time offset is calculated as follows:
(a) first, the time deviation is calculated according to the switching value. And for the recording file a in the asynchronous set AS, searching a recording file which has a common switching value channel with the synchronous set S, and recording the recording file AS S. The common switching value channel is judged according to the same channel name. Calculating the time deviation between the file a and the file s according to the switch quantity displacement time by taking the recording time of the file s as a reference, and recording the time deviation as delta t;
(b) if the same switching value channel does not exist, the time deviation is calculated according to the analog quantity. For the recording file a in the asynchronous set AS, a recording file with a common analog channel is searched in the synchronous set S and is marked AS b. The common analog channel is determined according to the same channel name and the same channel difference. The same analog channel is typically a bus voltage channel, but may also be a current channel. And calculating the time deviation of the file a and the file b according to the following formula by taking the recording time of the file b as a reference:
in the formula: x, Y are the data of the common analog channel in the fault recording files a and b respectively; j is a sampling point serial number; n is the number of sampling points; delta is the deviation number of the sampling points; maxbias is the number of sampling points corresponding to the maximum possible time deviation; Δ T is the sampling period; y [ j ] is the sampling value of the fault recording file b at the jth sampling point; x [ j-delta ] is a sampling value of the fault recording file a at j-delta;
the essence of the above formula is that the data in X are continuously moved until the correlation between the data and the Y is maximum, and the time deviation bias can be calculated by using the delta value at the moment; and correcting the initial wave recording time in the wave recording file a by using the calculated time deviation, namely finishing the correction of the time deviation.
(3) Wave recording data resampling
After the adaptive correction of the time deviation is completed, the fault recording files from different recording units cannot be directly combined into a virtual recording file. Selecting a fault recording file as a sampling reference, and selecting a resampling method according to the sampling frequency of the sampling reference, wherein a linear interpolation resampling method is recommended when the sampling frequency is high (more than 4kHz), and an extraction interpolation resampling method is recommended when the sampling frequency is low (less than 4 kHz).
Linear interpolation method:
for the analog quantity, the calculation is carried out according to the formula one:
in the formula, t*T-1 and t are the interpolation time (virtual sampling time) and t is t*The front and back physical sampling time, delta T is the sampling period; and i (t) is the analog sampling value.
For the switching value, the calculation is carried out according to the formula two:
in the formula, t*T-1 and t are the interpolation time (virtual sampling time) and t is t*The front and back physical sampling time, delta T is the sampling period; d (t) is a switching value sampling value; round () is a rounding operator.
And (3) a decimation interpolation resampling method:
for the analog signal, first perform L-times interpolation and then perform M-times extraction, and the signal flow is shown in fig. 2a and 2 b. In FIG. 2a, x (k) is the input signal sequence, k is the number of interpolation points, and the sampling frequency is fs；xL(k) For the sequence after L-fold interpolation, xLM(k) The sequence is output after decimation. h is1(k) The digital low-pass filter is used for smoothing and interpolating, and a zero value point is changed into an interpolation sample point; h is2(k) Is a digital low-pass filter for preventing aliasing distortion before decimation, which are all operated at the same sampling frequency LfsThus, they can be combined into a digital low pass filter h (k), as shown in fig. 2 b.
The improvement of the operational efficiency of fig. 2 can be made by using a high pass filter high efficiency flow architecture as shown in fig. 3, by using the one of fig. 3And the filter structure is used for minimizing the multiplication times on the basis of realizing functions and keeping the calculation result unchanged. X (k), y (k) are input and output signals, respectively, shown in FIG. 3, L is an interpolation coefficient, M is a decimation coefficient,
n is the order of filter h (k). The calculation formula of the flow diagram is as follows:
in the formula (I), the compound is shown in the specification,
represents an integer less than or equal to k,
for the switching value signal, as shown in fig. 4: firstly, carrying out L-time interpolation, and inserting (L-1) sampling values between known adjacent sampling points, wherein the inserted values are the same as the previous points; then, M times of extraction is carried out, so that the resampling of the switching value signal is completed. Compared with the analog resampling, the low-pass filter is omitted in the middle.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (5)
1. A station domain virtual fault recording processing method is characterized in that local recording is executed by equipment with a recording function in a station according to the sampling frequency and the recording starting condition of the equipment; the station domain virtual fault recording device collects fault recording files of all equipment through a station domain Ethernet communication network; after the virtual fault recording device carries out self-adaptive correction on the sampling time deviation of the uploaded fault recording file, the virtual fault recording device carries out virtual resampling processing on the uploaded recording data, and the virtual resampling frequency reference selects the sampling frequency of any fault recording file to realize data synchronization; and finally, synthesizing a station domain fault recording file by using the virtual fault recording device, wherein the file comprises fault recording data of each interval of the station domain.
2. The station domain virtual fault recording processing method according to claim 1, wherein the specific implementation method for adaptively correcting the sampling time deviation of the uploaded fault recording file is as follows:
the equipment at each interval in the station domain adopts clock synchronization, the time of recording sampling data in the fault recording file of each equipment is classified according to the time quality, and the recording file set with the time deviation of less than 1ms is recorded as a synchronization set S;
recording a wave recording file set with time deviation of more than 1ms AS an asynchronous set AS; the recording time offset is calculated as follows:
(a) firstly, calculating time deviation according to the switching value: for the recording file a in the asynchronous set AS, searching a recording file with a common switching value channel in the synchronous set S, and recording the recording file AS S; the common switching value channel is judged according to the fact that the channel names are the same, the recording time of the file s is used as a reference, and the time deviation between the file a and the file s is calculated according to the switching value displacement time and is marked as delta t;
(b) if the same switching value channel does not exist, calculating the time deviation according to the analog quantity: for the recording file a in the asynchronous set AS, searching a recording file which has a common analog channel with the recording file a in the synchronous set S, and marking the recording file AS b; the common analog quantity channel is judged according to the fact that the channel names are the same and the channel types are the same; and calculating the time deviation of the file a and the file b according to the following formula by taking the recording time of the file b as a reference:
in the formula: x, Y are the data of the common analog channel in the fault recording files a and b respectively; j is a sampling point serial number; n is the number of sampling points; delta is the deviation number of the sampling points; maxbias is the number of sampling points corresponding to the maximum possible time deviation; Δ T is the sampling period; y [ j ] is the sampling value of the fault recording file b at the jth sampling point; x [ j-delta ] is a sampling value of the fault recording file a at j-delta;
the essence of the above formula is that the data in X are continuously moved until the correlation between the data and the Y is maximum, and the time deviation bias can be calculated by using the delta value at the moment; and correcting the initial wave recording time in the wave recording file a by using the calculated time deviation, namely finishing the correction of the time deviation.
3. The station domain virtual fault recording processing method according to claim 2, wherein the virtual resampling processing: selecting a fault recording file as a sampling reference, and selecting a resampling method according to the sampling frequency of the sampling reference, for example, selecting a linear interpolation resampling method when the sampling frequency is higher than 4kHz, or selecting an extraction interpolation resampling method when the sampling frequency is lower than 4 kHz.
4. The station domain virtual fault recording processing method according to claim 3, wherein the linear interpolation resampling method:
for the analog, it is calculated as follows:
in the formula, t*For the interpolated virtual sampling instant, t-1 and t are t respectively*The front and back physical sampling time, i (t) is an analog sampling value;
for the switching value, it is calculated as follows:
in the formula, t*For the interpolated virtual sampling instant, t-1 and t are t respectively*The front and back physical sampling time, d (t) is the sampling value of the switching value; round () is a rounding operator.
5. The station domain virtual fault recording processing method according to claim 3, wherein the decimation interpolation resampling method:
sequentially carrying out L-time interpolation and digital low-pass filter h on the analog quantity signal1(k) Digital low-pass filter h2(k) Extracting M times; x (k) is the input signal sequence, k is the number of interpolation points, and the sampling frequency is fs；h1(k) For a digital low-pass filter, changing a zero value point into an interpolation sample point; h is2(k) Is a digital low-pass filter for preventing aliasing distortion before extraction, and both the digital low-pass filters work at the same sampling frequency LfsThe above step (1);
for the switching value signal, firstly carrying out L-time interpolation, and inserting (L-1) sampling values between known adjacent sampling points, wherein the inserted values are the same as the previous points; then, M times of extraction is carried out, so that the resampling of the switching value signal is completed.
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