CN109617001B - Relay protection multi-source heterogeneous information intelligent processing system - Google Patents
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Abstract
The invention discloses a relay protection multi-source heterogeneous information intelligent processing system which comprises an information intelligent distribution layer, a multi-source heterogeneous information intelligent processing layer and an information receiving layer, wherein the information intelligent distribution layer comprises a WEB short message issuing module and a PC workbench issuing module, and the multi-source heterogeneous information intelligent processing layer comprises an intelligent fault-tolerant module, a lossless conversion module and a fusion analysis module. The relay protection multisource heterogeneous information intelligent processing system can realize processing of three levels of lossless conversion, intelligent fault tolerance and fusion analysis, provides powerful support for relay protection intelligence and regulation and control integration, aims to create a recording data standardization, analysis intelligence and function intensive processing main station, is favorable for a scheduling end to comprehensively, quickly and simply acquire power grid fault information, quickly make an accident processing scheme, and plays a key role in implementation of accurate fault location, optimized production management and scheduling decision.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a relay protection multi-source heterogeneous information intelligent processing system.
Background
The relay protection is an indispensable component for maintaining the healthy operation of the power grid, and with the expansion of the scale of the power grid and the arrival of the interconnection trend of the area network, the transient process and the dynamic behavior in the operation of the power grid are more and more complex, so that the fault information needs to be accurately, comprehensively and quickly analyzed. However, the existing mainstream fault information management system has a high degree of dependence on manual work, and the fault analysis needs to manually select corresponding special analysis software according to different types of equipment, which is time-consuming and labor-consuming, and cannot meet the requirement of automatic development of the power system. In addition, the low-order grid fault analysis model is difficult to fully mine complex fault data, and the reasons for this situation mainly include the following:
1) the fault information is multi-sourced. The equipment reflecting the running state of the power grid system is various and widely distributed, and information such as traveling wave data, protection actions, protection device wave recording, fault wave recorder wave recording, protection fixed value and the like is an important fault analysis data source. Each master station system is different in function, reading of data is emphatic, and the systems are relatively independent and difficult to interact, so that a relatively comprehensive analysis result cannot be obtained;
2) the data format has diversity. The relay protection comprises various types of data such as analog quantity, state quantity, structuralization and unstructured data, each type of data has different sampling rates, life cycles, time scales and the like, the data in different types have relevance, and analysis software on the market is difficult to realize deep fusion analysis;
3) the processing mechanisms of the equipment of each model are different and have different standards. The power grid system has long-term construction age, a large number of protection and wave recording devices with different specifications and different performances exist at present, for example, wave recording devices are used, 9 manufacturers and 25 mainstream models of wave recording devices are mainly distributed in substations in various regions in China, the wave recording file format is self-defined by each manufacturer, and even if the standard COMTRADE format is also different in multiple versions and different degrees.
Aiming at the multi-source heterogeneous characteristics of relay protection information, an intelligent processing technology is provided, through the processing of three modules of lossless conversion, intelligent fault tolerance and fusion analysis, the undifferentiated interpretation and deep excavation of multi-source heterogeneous data are realized, powerful support is provided for the integration of relay protection automation and regulation and control, and the purpose of creating a processing master station with standardized, intelligent analysis and function intensification of recorded wave data is achieved.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a relay protection multi-source heterogeneous information intelligent processing system, which solves the problems that the existing relay protection fault information is multi-source, the power grid standard is not uniform, relay protection equipment is diversified, and the processing mechanism difference of various types of equipment is large.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides a relay protection multisource heterogeneous information intelligent processing system, includes information intelligent distribution layer, multisource heterogeneous information intelligent processing layer and information receiving layer, information intelligent distribution layer includes WEB SMS release module and PC workstation release module, and multisource heterogeneous information intelligent processing layer includes intelligent fault-tolerant module, lossless conversion module and fuses analysis module, the output of intelligent fault-tolerant module is connected with the input of lossless conversion module, and the output of lossless conversion module is connected with the input of fusing analysis module, the output of fusing analysis module is connected with the input of WEB SMS release module and PC workstation release module respectively, the information receiving layer includes ethernet and producer filtering source file, and the output of producer recorded wave source file is connected with the input of ethernet.
Preferably, the intelligent fault-tolerant module comprises a manufacturer information reading unit, a first configuration file pre-judging unit, an error file correcting unit, a second configuration file pre-judging unit and a wave recording equipment fault warning unit, wherein the output end of the manufacturer information reading unit is connected with the input end of the first configuration file pre-judging unit, and the output end of the first configuration file pre-judging unit is connected with the input end of the error file correcting unit.
Preferably, the output end of the error file correcting unit is connected with the input end of the second secondary configuration file pre-judging unit, and the output end of the second secondary configuration file pre-judging unit is connected with the input end of the wave recording equipment fault warning unit.
Preferably, the lossless conversion module includes a conversion interface table processing unit, a conversion unit, and a standard format file processing unit, an output end of the conversion interface table processing unit is connected to an input end of the conversion unit, and an output end of the conversion unit is connected to an input end of the standard format file processing unit.
Preferably, the fusion analysis module comprises a key information extraction unit, a fault diagnosis unit and a fault analysis unit, wherein an output end of the key information extraction unit is connected with an input end of the fault diagnosis unit, and an output end of the fault diagnosis unit is connected with an input end of the fault analysis unit.
Preferably, the using method of the relay protection multi-source heterogeneous information intelligent processing system specifically comprises the following steps:
s1, the information receiving layer receives the wave recording file through the high-speed Ethernet, the wave recording file can be issued after passing through the multi-source heterogeneous information intelligent processing layer, and information is pushed in a plurality of issuing modes in a hierarchical manner on the premise of guaranteeing information safety;
s2, reading the recording file stored on the disk by using the intelligent fault-tolerant module, prejudging the configuration file, wherein the configuration file should contain station name, analog quantity and state quantity channel quantity, analog quantity channel sampling information, state quantity channel sampling information, CT/PT transformation ratio at two sides of the circuit and other indispensable information and some default information, if the information is not complete or has messy codes, inquiring an error list, wherein the error list contains error type and compensation information, if the error is in the list, correcting, otherwise marking the error, submitting the error to a worker, and calling a fixed value model at the master station end directly to regenerate the standard configuration parameters. Then, pre-judging a data file, wherein the data file contains a sampling serial number, a time mark and data of each analog quantity and state quantity channel, if a certain column is missing or disordered, calling a wave recording file again, pre-judging the data file again, and if the wave recording equipment fails to cause the error of the recorded file, informing a worker of the station name and the model of the fault wave recording equipment;
s3, after fault-tolerant processing is carried out on the recording file by the lossless conversion module, the type of the recording device can be known through the configuration file, the conversion interface table is inquired according to the type, the interface table comprises recording device information and a conversion function inlet, a corresponding conversion unit is jumped to through a recording device information keyword, the conversion unit comprises a data file processing type and a channel data mapping function, the data file processing type is used for reading the recording file, the recording file information is analyzed, sampling data are obtained, and the object attribute of the sampling data comprises: record ripples file basic information, channel information array, sampling frequency channel information array, its transfer interface has: a configuration file reading interface function, a sampling data reading interface function and a channel grouping interface function, wherein a channel data mapping function is used for reading a data file, converting a secondary digital quantity of the sampling data after A/D conversion into primary values of voltage and current by utilizing channel coefficients and CT/PT transformation ratio information in the configuration file, and storing the primary values into mutually independent tables in a binary format to achieve the decoupling purpose;
s4, the fusion analysis module firstly processes the channel data base, the oscillographs of different models have different sampling frequencies, for the convenience of subsequent data processing, the data is processed by linear resampling or fitting to realize clock synchronization and frequency unification, the basic steps are as follows:
a1, sampling frequency f of originaloIs switched to the new resampling frequency fnAnd the nyquist sampling law is satisfied, the original sampling number per second is N, and then the length of solving the signal under the new sampling rate is: m ═ fn/fo)×N；
a2, discrete point M (M is more than or equal to 1 and less than or equal to M) of the target sequence, point N (N is more than or equal to 1 and less than or equal to N) of the original sampling sequence, and scaling factor p ═ fo/fnThen pm is a specific position to be interpolated under the condition of an original sampling interval, and the relation between pm and n must meet the condition that n is less than or equal to pm and less than or equal to n + 1;
a3, if the condition of data missing or the gap is too large in the data recording process, namely n is less than or equal to p (m +1) and less than or equal to n +1, indicating that linear resampling can not be carried out, taking the widths of four points near the data point as a window to calculate a least square curve fitting value for replacement;
a4, if n is more than or equal to pm and less than or equal to n +1, and n is less than or equal to p (m +1) and less than or equal to n +1, obtaining two weight values by the steps, wherein a is pm-n, and b is n +1-pm, linearly combining the two resampling weight values a and b and the values of two adjacent points to be inserted into the point, and obtaining the value x of the point to be insertedo(m)＝ax(n+1)+bx(n)；
a5, if the data sampling interval is more than 5/M and the continuous times are more than 5, judging that the data is invalid information, namely D, E segments of the recording file, directly using the sine value Usin (ω t + φ) of the waveform, U is the voltage amplitude, and ω and φ can be obtained from the values in the sequence of the segments;
s5, performing fault analysis by the fusion analysis module, wherein two models are applied: the system comprises a key data extraction model and a fault diagnosis model, wherein the key data extraction model is used for enabling channel information data in a recording file to have a certain corresponding relation with primary equipment, in order to carry out more accurate analysis and diagnosis on faults, fault equipment information needs to be restored, the recording file after standardized processing is used as the input of the model, the model essentially consists of algorithms, namely a wavelet analysis algorithm and Fourier transform, the wavelet analysis can obtain information such as signal singular values, modulus maximum values and modulus phases, the Fourier transform realizes the functions such as harmonic monitoring, signal-noise separation and the like, and the algorithms are combined with a series of fault characteristic quantities or characteristic vectors such as available fault transient waveforms, switch deflection moments, protection action information and protection fixed value information and the like and are used for subsequent analysis processing and calling;
and S6, after extracting key data, performing further comprehensive analysis on the fault diagnosis model of the fusion analysis module, obtaining fault equipment or types by simply determining parameters required by corresponding analysis as input of the fault diagnosis model, performing deeper analysis on the fault equipment by utilizing sub-items under the model, taking line ranging as an example, transmitting fault voltage and current and necessary system parameters to the sub-model, and realizing ranging by utilizing various algorithms under the sub-model. The model sub-items are:
b1, line ranging: the extracted characteristic quantities such as fault voltage, current and line parameter information are utilized to carry out single-end distance measurement, double-end distance measurement or comprehensive analysis, and the fault point distance is determined by utilizing various analysis modes;
b2, transformer analysis: the functions of power analysis, self-coupling variable side differential, overexcitation analysis, longitudinal error analysis, self-coupling variable zero sequence differential and the like are supported, and the state of the transformer is reflected in multiple aspects;
b3, generator set analysis: the functions of power analysis, overexcitation analysis, complete longitudinal difference, incomplete longitudinal difference, split phase transverse difference, loss of excitation analysis, loss of step analysis and the like are supported;
b4, formula editor: the method can meet the recording analysis of the power system required by the expert of the power system, and realize the functions of a function manager, a temporary variable manager and an expression manager.
Preferably, the table in step S3 refers to a channel data table generated on the local hard disk, where the channel includes a current amount, a voltage amount, and a state amount, and each file includes a channel name, a time stamp, and recording data.
(III) advantageous effects
The invention provides a relay protection multi-source heterogeneous information intelligent processing system. Compared with the prior art, the method has the following beneficial effects: the relay protection multi-source heterogeneous information intelligent processing system comprises a WEB short message issuing module and a PC workbench issuing module on an information intelligent issuing layer, and the multi-source heterogeneous information intelligent processing layer comprises an intelligent fault-tolerant module, a lossless conversion module and a fusion analysis module, wherein the output end of the intelligent fault-tolerant module is connected with the input end of the lossless conversion module, the output end of the lossless conversion module is connected with the input end of the fusion analysis module, the output end of the fusion analysis module is respectively connected with the input ends of the WEB short message issuing module and the PC workbench issuing module, an information receiving layer comprises an Ethernet and a factory filter source file, the output end of the factory wave recording source file is connected with the input end of the Ethernet, and the factory wave recording source file is respectively connected with the input end of the Ethernet through a factory information reading unit, a first configuration file pre-judging unit, an error file correcting unit, an error, The conversion interface table processing unit, the conversion unit, the standard format file processing unit, the key information extraction unit, the fault diagnosis unit and the fault analysis unit are arranged in a matching way, three levels of processing including nondestructive conversion, intelligent fault tolerance and fusion analysis can be realized, powerful support is provided for relay protection intellectualization and regulation and control integration, the purpose is to create a recording data standardization, analysis intellectualization and function intensification processing master station, the intelligent fault tolerance is to correct and be compatible with the difference of multi-source recording files, the nondestructive conversion is to carry out the same formatting on the recording files with different formats and decouple the recording files into visual standard table files, the fusion analysis firstly normalizes the data frequency with different sampling rates under the condition of not changing the information quantity of original sampling data, and the second step is to utilize the extracted effective data to realize sharing and interaction among different models, the information receiving layer receives the wave recording files through the high-speed Ethernet, the wave recording files can be released after passing through the multi-source heterogeneous information intelligent processing layer, information is pushed in a plurality of releasing modes in a hierarchical mode on the premise that information safety is guaranteed, maintenance personnel can timely master fault conditions, a dispatching end can acquire power grid fault information comprehensively, quickly and conveniently, an accident handling scheme is made quickly, and meanwhile, the method plays a key role in accurate fault positioning, optimized production management and dispatching decision implementation.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the structure of the intelligent fault tolerant module of the present invention;
FIG. 3 is a schematic block diagram of the structure of the lossless conversion module according to the present invention;
FIG. 4 is a schematic block diagram of the structure of the fusion analysis module of the present invention;
FIG. 5 is a flow chart of the intelligent fault tolerance of the present invention;
FIG. 6 is a flowchart illustrating the operation of the lossless conversion of the present invention;
FIG. 7 is a flowchart of the fusion analysis of the present invention;
FIG. 8 is a formula diagram of a least squares curve fitting algorithm of the present invention;
FIG. 9 is a table diagram showing the comparison between the wave recording analysis software and the wave recording master station test of each manufacturer;
fig. 10 is a table diagram of data related to different numbers of wave recording devices accessed by the wave recording master station.
In the figure, 1 information intelligent distribution layer, 11 WEB short message distribution module, 12 PC workbench distribution module, 2 multisource heterogeneous information intelligent processing layer, 21 intelligent fault-tolerant module, 211 manufacturer information reading unit, 212 first configuration file prejudging unit, 213 error file correcting unit, 214 second configuration file prejudging unit, 215 wave recording equipment fault warning unit, 22 lossless conversion module, 221 conversion interface table processing unit, 222 conversion unit, 223 standard format file processing unit, 23 fusion analysis module, 231 key information extraction unit, 232 fault diagnosis unit, 233 fault analysis unit, 3 information receiving layer, 31 ethernet, 32 manufacturer filter source file.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. 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 to 10, an embodiment of the present invention provides a technical solution: a relay protection multi-source heterogeneous information intelligent processing system comprises an information intelligent distribution layer 1, a multi-source heterogeneous information intelligent processing layer 2 and an information receiving layer 3, wherein the information intelligent distribution layer 1 comprises a WEB short message issuing module 11 and a PC workbench issuing module 12, and the multi-source heterogeneous information intelligent processing layer 2 comprises an intelligent fault-tolerant module 21, a lossless conversion module 22 and a fusion analysis module 23, the output end of the intelligent fault-tolerant module 21 is connected with the input end of the lossless conversion module 22, the output end of the lossless conversion module 22 is connected to the input end of the fusion analysis module 23, the output end of the fusion analysis module 23 is connected to the input ends of the WEB short message publishing module 11 and the PC workbench publishing module 12, the information receiving layer 3 includes an ethernet 31 and a factory filter source file 32, and the output end of the factory wave recording source file 32 is connected to the input end of the ethernet 31.
In the present invention, the intelligent fault-tolerant module 21 includes a manufacturer information reading unit 211, a first configuration file pre-judging unit 212, an error file correcting unit 213, a second configuration file pre-judging unit 214, and a wave recording device fault warning unit 215, wherein an output end of the manufacturer information reading unit 211 is connected to an input end of the first configuration file pre-judging unit 212, and an output end of the first configuration file pre-judging unit 212 is connected to an input end of the error file correcting unit 213.
In the present invention, the output terminal of the error file correcting unit 213 is connected to the input terminal of the second-time profile pre-judging unit 214, and the output terminal of the second-time profile pre-judging unit 214 is connected to the input terminal of the fault warning unit 215 of the wave recording device.
In the present invention, the lossless conversion module 22 includes a conversion interface table processing unit 221, a conversion unit 222, and a standard format file processing unit 223, wherein an output end of the conversion interface table processing unit 221 is connected to an input end of the conversion unit 222, and an output end of the conversion unit 222 is connected to an input end of the standard format file processing unit 223.
In the present invention, the fusion analysis module 23 includes a key information extraction unit 231, a fault diagnosis unit 232, and a fault analysis unit 233, wherein an output end of the key information extraction unit 231 is connected to an input end of the fault diagnosis unit 232, and an output end of the fault diagnosis unit 232 is connected to an input end of the fault analysis unit 233.
The using method of the relay protection multi-source heterogeneous information intelligent processing system specifically comprises the following steps:
s1, the information receiving layer 3 receives the wave recording file through the high-speed Ethernet 31, the wave recording file can be released after passing through the multi-source heterogeneous information intelligent processing layer 2, and on the premise of guaranteeing information safety, information is pushed in a hierarchical mode and a plurality of releasing modes, so that maintenance personnel can master failure conditions in time;
s2, reading the recording file stored on the disk by using the intelligent fault-tolerant module 21, prejudging the configuration file, wherein the configuration file should include station name, analog quantity and state quantity channel number, analog quantity channel sampling information, state quantity channel sampling information, CT/PT transformation ratio at two sides of the circuit and some default information, if the information is not complete or random code appears, inquiring an error list, wherein the error list includes error type and compensation information, if the error is in the list, correcting, otherwise marking the error, submitting the error to a worker, and directly calling a fixed value model at the master station end to regenerate the standard configuration parameters. Then, pre-judging a data file, wherein the data file contains a sampling serial number, a time mark and data of each analog quantity and state quantity channel, if a certain column is missing or disordered, calling a wave recording file again, pre-judging the data file again, and if the wave recording equipment fails to cause the error of the recorded file, informing a worker of the station name and the model of the fault wave recording equipment;
s3, after the lossless conversion module 22 performs fault-tolerant processing on the recording file, the type of the recording device can be known through the configuration file, the conversion interface table is queried according to the type of the recording device, the interface table includes the recording device information and the conversion function entry, the conversion unit 222 jumps to the corresponding conversion unit through the recording device information keyword, the conversion unit 222 includes a data file processing class and a channel data mapping function, the data file processing class is used to read the recording file, analyze the recording file information, and obtain the sampling data, and the object attributes include: record ripples file basic information, channel information array, sampling frequency channel information array, its transfer interface has: the method comprises the steps of configuring a file reading interface function, sampling a data reading interface function, a channel grouping interface function, a channel data mapping function and a data file reading function, wherein the channel data mapping function is used for reading the data file, converting a secondary digital quantity obtained after A/D conversion of sampling data into primary values of voltage and current by utilizing channel coefficients and CT/PT transformation ratio information in the configuration file, and storing the primary values into mutually independent tables in a binary format to achieve the purpose of decoupling, wherein the tables refer to channel data tables generated on a local hard disk, channels comprise current quantity, voltage quantity and state quantity, and each file comprises a channel name, a time mark and wave recording data;
s4, the fusion analysis module 23 firstly performs basic processing on channel data, where the oscillographs of different models have different sampling frequencies, and for simple and convenient subsequent data processing, performs linear resampling or fitting on the data to realize clock synchronization and frequency unification, and the basic steps are as follows:
a1, sampling frequency f of originaloIs switched to the new resampling frequency fnAnd the nyquist sampling law is satisfied, the original sampling number per second is N, and then the length of solving the signal under the new sampling rate is: m ═ fn/fo)×N；
a2, discrete point M (M is more than or equal to 1 and less than or equal to M) of the target sequence, point N (N is more than or equal to 1 and less than or equal to N) of the original sampling sequence, and scaling factor p ═ fo/fnPm is then the case at the original sampling intervalIn the specific position to be interpolated, the relationship between pm and n must satisfy that n is not less than pm and not more than n + 1;
a3, if the condition of data missing or gap is too large during data recording, i.e. n ≦ p (m +1) ≦ n +1, indicating that linear resampling is not possible, then taking the width of four points around the data point as a window to find the least squares curve fitting value instead, as shown in FIG. 8, where x iso(m) representing the value of the target sequence, X (n) representing the value of the original sequence, using the four points to calculate a fitting coefficient, forming an array X and an array Y by data points, calculating a fitting equation of the points, and calculating a sampling value according to the fitting equation;
a4, if n is more than or equal to pm and less than or equal to n +1, and n is less than or equal to p (m +1) and less than or equal to n +1, obtaining two weight values by the steps, wherein a is pm-n, and b is n +1-pm, linearly combining the two resampling weight values a and b and the values of two adjacent points to be inserted into the point, and obtaining the value x of the point to be insertedo(m)＝ax(n+1)+bx(n)；
a5, if the data sampling interval is more than 5/M and the continuous times are more than 5, judging that the data is invalid information, namely D, E segments of the recording file, directly using the sine value Usin (ω t + φ) of the waveform, U is the voltage amplitude, and ω and φ can be obtained from the values in the sequence of the segments;
s5, the fusion analysis module 23 performs fault analysis again, wherein two models are applied: the system comprises a key data extraction model and a fault diagnosis model, wherein the key data extraction model is used for enabling channel information data in a recording file to have a certain corresponding relation with primary equipment, in order to carry out more accurate analysis and diagnosis on faults, fault equipment information needs to be restored, the recording file after standardized processing is used as the input of the model, the model essentially consists of algorithms, namely a wavelet analysis algorithm and Fourier transform, the wavelet analysis can obtain information such as signal singular values, modulus maximum values and modulus phases, the Fourier transform realizes the functions such as harmonic monitoring, signal-noise separation and the like, and the algorithms are combined with a series of fault characteristic quantities or characteristic vectors such as available fault transient waveforms, switch deflection moments, protection action information and protection fixed value information and the like and are used for subsequent analysis processing and calling;
s6, the fault diagnosis model of the fusion analysis module 23 is further comprehensively analyzed after extracting the key data, only parameters required by corresponding analysis need to be simply determined to be used as input of the fault diagnosis model to obtain fault equipment or types, then sub items under the model are utilized to carry out deeper analysis on the fault equipment, taking line ranging as an example, fault voltage and current and necessary system parameters are transmitted to the sub models, and ranging is realized by various algorithms under the sub models. The model sub-items are:
b1, line ranging: the extracted characteristic quantities such as fault voltage, current and line parameter information are utilized to carry out single-end distance measurement, double-end distance measurement or comprehensive analysis, and the fault point distance is determined by utilizing various analysis modes;
b2, transformer analysis: the functions of power analysis, self-coupling variable side differential, overexcitation analysis, longitudinal error analysis, self-coupling variable zero sequence differential and the like are supported, and the state of the transformer is reflected in multiple aspects;
b3, generator set analysis: the functions of power analysis, overexcitation analysis, complete longitudinal difference, incomplete longitudinal difference, split phase transverse difference, loss of excitation analysis, loss of step analysis and the like are supported;
b4, formula editor: the method can meet the recording analysis of the power system required by the expert of the power system, and realize the functions of a function manager, a temporary variable manager and an expression manager.
Analysis of experiments
The wave recording main station applying the technology is put into use in urban defense harbors, in order to verify the effectiveness of operation, transverse and longitudinal comparison tests are respectively carried out on the main station, the transverse comparison tests are that A, B, C fault analysis software owned by each manufacturer and the wave recording main station based on the multi-source heterogeneous information processing technology are used for respectively processing 100 wave recording files, the 100 wave recording files come from A, B, C three manufacturers, and the proportion is about 6: 3: the average values of various processing indexes of the wave recording files are compared, the result is shown in fig. 9, and it is also found in the experiment that analysis errors or downtime occur when the type-A main station analysis software processes the type-B and type-C wave recording files, and the situation that the analysis result is not ideal occurs when the type-B and type-C main station analysis software processes the type-B and type-C wave recording files, so that the experimental result shows that the wave recording main station based on the multi-source heterogeneous information processing technology has certain advantages in average processing time, range of distance measurement errors and analysis accuracy.
The longitudinal comparison experiment is that the system software is respectively accessed into fault information analysis data of 100 sets of recording equipment, 200 sets of recording equipment and 500 sets of recording equipment, the value of the fault information analysis data is obtained from the average value of 50 times of recording file processing, the result is shown in figure 10, the more the recording equipment is accessed, the more the data receiving layer is busy, the more the operating space is occupied, the more the fault analysis time is consumed, the influence is small, the error range and the accuracy are not influenced, the downtime does not occur in the whole process, and the fact that the main wave recording station based on the multi-source heterogeneous information processing technology has practical significance can be seen.
The processing process of the relay protection multi-source heterogeneous information intelligent processing system is as follows: the method comprises the steps of firstly receiving a fault information file through an information receiving layer, then utilizing intelligent fault-tolerant, lossless conversion and fusion analysis module processing to realize reading and management of a fault information group on a multi-source heterogeneous information intelligent processing layer and the information receiving layer, intelligently identifying and correcting damaged wave recording files, decoupling wave recording data through lossless conversion to achieve uniform format, fusing information and transmitting the information into a plurality of analysis submodels to finish fault reading. And finally, pushing the information by an intelligent release layer-level and multi-channel release mode. The invention provides powerful support for the integration of relay protection intellectualization and regulation, aims to create a main station for recording data standardization, analysis intellectualization and function intensification processing, is beneficial to a dispatching end to comprehensively, quickly and simply obtain power grid fault information and quickly make an accident processing scheme, and plays a key role in accurate fault positioning, optimized production management and implementation of dispatching decision.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. The utility model provides a relay protection heterogeneous information intelligent processing system of multisource, includes intelligent distribution layer of information (1), heterogeneous information intelligent processing layer of multisource (2) and information receiving layer (3), its characterized in that: the information intelligent distribution layer (1) comprises a WEB short message distribution module (11) and a PC workbench distribution module (12), the multisource heterogeneous information intelligent processing layer (2) comprises an intelligent fault-tolerant module (21), a lossless conversion module (22) and a fusion analysis module (23), the output end of the intelligent fault-tolerant module (21) is connected with the input end of the lossless conversion module (22), the output end of the lossless conversion module (22) is connected with the input end of the fusion analysis module (23), the output end of the fusion analysis module (23) is respectively connected with the WEB short message distribution module (11) and the input end of the PC workbench distribution module (12), the information receiving layer (3) comprises an Ethernet (31) and a factory filtering source file (32), the output end of the factory recording source file (32) is connected with the input end of the Ethernet (31), and the intelligent fault-tolerant module (21) comprises a factory information reading unit (211), A first configuration file pre-judging unit (212), an error file correcting unit (213), a second configuration file pre-judging unit (214) and a wave recording equipment fault warning unit (215), wherein the output end of the factory information reading unit (211) is connected with the input end of the first configuration file pre-judging unit (212), the output end of the first configuration file pre-judging unit (212) is connected with the input end of the error file correcting unit (213), the output end of the error file correcting unit (213) is connected with the input end of the second configuration file pre-judging unit (214), the output end of the second configuration file pre-judging unit (214) is connected with the input end of the wave recording equipment fault warning unit (215), the lossless conversion module (22) comprises a conversion interface table processing unit (221), a conversion unit (222) and a standard format file processing unit (223), the output end of the conversion interface table processing unit (221) is connected with the input end of the conversion unit (222), the output end of the conversion unit (222) is connected with the input end of the standard format file processing unit (223), the fusion analysis module (23) comprises a key information extraction unit (231), a fault diagnosis unit (232) and a fault analysis unit (233), the output end of the key information extraction unit (231) is connected with the input end of the fault diagnosis unit (232), and the output end of the fault diagnosis unit (232) is connected with the input end of the fault analysis unit (233);
the using method of the relay protection multi-source heterogeneous information intelligent processing system specifically comprises the following steps:
s1, the information receiving layer (3) receives the wave recording file through the high-speed Ethernet (31), the wave recording file can be released after passing through the multi-source heterogeneous information intelligent processing layer (2), and on the premise of guaranteeing information safety, information is pushed in a hierarchical mode and a plurality of releasing modes, so that maintenance personnel can master the fault condition in time;
s2, reading the recording file stored on the disk by using the intelligent fault-tolerant module (21), prejudging the configuration file which should include the station name, the analog quantity and state quantity channel quantity, the analog quantity channel sampling information, the state quantity channel sampling information, the information that the CT/PT transformation ratio at both sides of the circuit is indispensable and some default information, if the information is not complete or messy code, inquiring the error list which includes the error type and the compensation information, if the error is in the list, correcting, otherwise marking the error, submitting the operator, and directly calling a fixed value model at the main station end to regenerate the standard configuration parameter, then prejudging the data file which has the sampling serial number, the time mark and the data of each analog quantity and state quantity channel, if a certain row is missing or messy code, calling the wave recording file again, prejudging the data file again, and informing the station name and the model of the fault wave recording equipment to workers if the wave recording equipment fails to record the file error;
s3, after fault-tolerant processing is carried out on the wave recording file by the lossless conversion module (22), the model of the wave recording machine can be known through the configuration file, the conversion interface table is inquired accordingly, the interface table comprises wave recording equipment information and a conversion function inlet, a corresponding conversion unit (222) is jumped to through a wave recording equipment information keyword, the conversion unit (222) comprises a data file processing class and a channel data mapping function, the data file processing class is used for reading the wave recording file, the wave recording file information is analyzed, sampling data are obtained, and the object attribute comprises: record ripples file basic information, channel information array, sampling frequency channel information array, its transfer interface has: a configuration file reading interface function, a sampling data reading interface function and a channel grouping interface function, wherein a channel data mapping function is used for reading a data file, converting a secondary digital quantity of the sampling data after A/D conversion into primary values of voltage and current by utilizing channel coefficients and CT/PT transformation ratio information in the configuration file, and storing the primary values into mutually independent tables in a binary format to achieve the decoupling purpose;
s4, the fusion analysis module (23) firstly carries out basic processing on channel data, the sampling frequencies of oscillographs of different models are different, and for the convenience of subsequent data processing, the data are subjected to linear resampling or fitting to realize the processing of clock synchronization and frequency unification, and the basic steps are as follows:
a1, sampling frequency f of originaloIs switched to the new resampling frequency fnAnd the nyquist sampling law is satisfied, the original sampling number per second is N, and then the length of solving the signal under the new sampling rate is: m ═ fn/fo)×N；
a2, discrete point M (M is more than or equal to 1 and less than or equal to M) of the target sequence, point N (N is more than or equal to 1 and less than or equal to N) of the original sampling sequence, and scaling factor p ═ fo/fnThen pm is in the original sampleUnder the condition of interval, the relation between pm and n must satisfy that n is less than or equal to pm and less than or equal to n +1 at the specific position to be interpolated;
a3, if the condition of data missing or the gap is too large in the data recording process, namely n is less than or equal to p (m +1) and less than or equal to n +1, indicating that linear resampling can not be carried out, taking the widths of four points near the data point as a window to calculate a least square curve fitting value for replacement;
a4, if n is more than or equal to pm and less than or equal to n +1, and n is less than or equal to p (m +1) and less than or equal to n +1, obtaining two weight values by the steps, wherein a is pm-n, and b is n +1-pm, linearly combining the two resampling weight values a and b and the values of two adjacent points to be inserted into the point, and obtaining the value x of the point to be insertedo(m)＝ax(n+1)+bx(n)；
a5, if the data sampling interval is more than 5/M and the continuous times are more than 5, judging that the data is invalid information, namely D, E segments of the recording file, directly using the sine value Usin (ω t + φ) of the waveform, U is the voltage amplitude, and ω and φ can be obtained from the values in the sequence of the segments;
s5, the fusion analysis module (23) performs fault analysis, wherein two models are used: a key data extraction model and a fault diagnosis model, wherein the key data extraction model is used for enabling channel information data in a recording file to have a certain corresponding relation with primary equipment, in order to carry out more accurate analysis and diagnosis on the fault, the information of the fault equipment needs to be restored, a recording file after standardized processing is used as the input of the model, the model essentially consists of a plurality of algorithms, namely a wavelet analysis algorithm and Fourier transform, the wavelet analysis can obtain the information of a signal singular value, a modulus maximum value and a modulus phase, the Fourier transform realizes the functions of harmonic wave monitoring and signal-noise separation, the combination of the algorithms can obtain fault transient waveform, switch deflection time, protection action information and protection constant value information, and a series of fault characteristic quantities or characteristic vectors, the system is used for subsequent analysis processing and calling, and reading information by using different algorithms and models in stages;
s6, the fault diagnosis model of the fusion analysis module (23) is further comprehensively analyzed after extracting key data, only parameters required by corresponding analysis need to be simply determined to be used as input of the fault diagnosis model to obtain fault equipment or types, then sub-items in the model are utilized to carry out deeper analysis on the fault equipment, fault voltage and current and necessary system parameters are transmitted to the sub-model, ranging is realized by various algorithms under the sub-model, and the sub-items of the model are as follows:
b1, line ranging: the extracted characteristic quantities such as fault voltage, current and line parameter information are utilized to carry out single-end distance measurement, double-end distance measurement or comprehensive analysis, and the fault point distance is determined by utilizing various analysis modes;
b2, transformer analysis: the functions of power analysis, self-coupling variable side differential, overexcitation analysis, longitudinal error analysis and self-coupling variable zero sequence differential are supported, and the state of the transformer is reflected in multiple aspects;
b3, generator set analysis: the functions of power analysis, overexcitation analysis, complete longitudinal difference, incomplete longitudinal difference, split phase transverse difference, loss of excitation analysis and loss of synchronism analysis are supported;
b4, formula editor: the method can meet the recording analysis of the power system required by the expert of the power system, and realize the functions of a function manager, a temporary variable manager and an expression manager.
2. The relay protection multi-source heterogeneous information intelligent processing system according to claim 1, characterized in that: the table in step S3 refers to a channel data table generated on the local hard disk, where the channel includes a current amount, a voltage amount, and a state amount, and each file includes a channel name, a time stamp, and recording data.
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