CN113433419A - Intelligent alarm method and system based on polymorphic data coprocessing - Google Patents
Intelligent alarm method and system based on polymorphic data coprocessing Download PDFInfo
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- CN113433419A CN113433419A CN202110626223.9A CN202110626223A CN113433419A CN 113433419 A CN113433419 A CN 113433419A CN 202110626223 A CN202110626223 A CN 202110626223A CN 113433419 A CN113433419 A CN 113433419A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/52—Testing for short-circuits, leakage current or ground faults
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Abstract
The invention provides an intelligent alarm method and system based on polymorphic data cooperative processing, polymorphic data of secondary equipment at a station end are acquired in real time in a direct acquisition and direct transmission mode, an intelligent logic cooperative reasoning diagnosis module based on steady-state data and dynamic data is established according to respective electrical characteristics of different data sources, and the result can be provided for operation and maintenance personnel to serve as the basis for the next operation and maintenance. The method provided by the invention can improve the operation monitoring method of the secondary equipment of the power grid, does not completely depend on the original alarm information of the secondary equipment, and provides auxiliary monitoring measures. The method can quickly find out the abnormal operation of the power grid, remind operation and maintenance personnel to solve problems in time, prevent further expansion of accidents and improve the real-time performance and reliability of online fault diagnosis of the power grid.
Description
Technical Field
The invention belongs to the technical field of intelligent analysis and communication of a power system, and particularly relates to an intelligent alarm method and system based on polymorphic data coprocessing.
Background
With the large-scale construction of new energy power stations and smart power grids, the structure and the operating characteristics of the power grids are increasingly complex, the overload protection faults caused by severe weather such as strong wind, thunder, sand storm and the like frequently impact the safety defense lines of the power grids, the traditional station-side intelligent alarm system cannot meet the requirement of safe and stable operation of the large power grids, and the existing station-side intelligent alarm level needs to be improved urgently to realize on-site quick alarm of the power grid faults.
The research of the intelligent warning system at the station end is limited by the level of the traditional relay protection equipment, computer and communication technology, and the data source is mainly remote signaling deflection and protection action signals of a protection device RTU (remote terminal Unit), so that the reliability of the warning system is not high, the information is rough, and the warning system is difficult to adapt to the operation and maintenance requirements; and when the communication between the station end and the dispatching end is abnormal or interrupted, the data cannot be timely uploaded or even lost, and the timely analysis, the troubleshooting and the quick repair of the power grid fault are influenced. The method is especially important for power grid operation and maintenance personnel to timely and comprehensively acquire fault warning information and analysis results from the station side and quickly perform fault maintenance. Meanwhile, with the rapid development of relay protection equipment, computers and communication technology and the wide application in power systems, synchronous phasor measurement devices and fault oscillograph devices are also widely popularized, and the data sources of intelligent warning systems at station ends are continuously abundant and perfect, so that the remote signaling and protection action signals are not limited to be utilized. By utilizing the characteristics of diversity and high information redundancy of the transformer substation devices, the different and abundant data are cooperatively processed, so that the intelligent warning system at the station end can be helped to improve the accuracy, reliability and instantaneity, and the requirement of operation and maintenance of a power grid is met to the greatest extent.
Disclosure of Invention
The invention aims to provide an intelligent alarm method and system based on polymorphic data coprocessing, which can improve the accuracy and reliability of a station-side intelligent alarm system.
The invention provides an intelligent alarm method and system based on polymorphic data coprocessing, which comprises the following steps:
acquiring power grid steady-state data, determining a fault phase according to the power grid steady-state data, extracting action elements, action events and a whole set of report information according to a protection starting signal in the power grid steady-state data, and generating a fault brief report according to logical intelligent reasoning; acquiring power grid dynamic data, and determining a fault phase according to the power grid dynamic data;
if the fault phase determined according to the power grid steady-state data is consistent with the fault phase determined according to the power grid dynamic data, storing and issuing a fault brief report; otherwise, the alarm is prompted to be abnormal.
Further, the step of determining the fault phase according to the grid steady-state data comprises the following steps:
when the power grid fails, a switch split-phase action signal is obtained according to a remote signaling deflection signal in the steady-state data of the power grid, and a switch split-phase action sequence is obtained according to the switch split-phase action signal; if the switching action sequence is 'divide first then close' and no 'divide again' action, it is a phase-to-phase fault, otherwise it is a single-phase fault;
if the fault is a single-phase fault and the switch contains split-phase action information, the switch action phase is the corresponding fault phase.
Further, the specific method for generating the fault brief report according to the logic intelligent reasoning is as follows:
s1, when the power grid fails, a protection action signal is obtained, and if the protection action signal is protection starting and the state is that the protection action signal has occurred, the fault serial number of the protection starting signal is cached;
s2: if the protection action signal is an action element and the fault serial number of the action element is consistent with the fault serial number of the protection starting signal, storing the protection action signal in an action element queue;
s3, if the protection action signal is an action event, and the fault serial number of the protection action signal and the fault serial number of the protection starting signal are stored in an action event queue;
s4, if the report is a whole group report and the fault sequence number of the report is consistent with that of the protection starting signal, the report is stored in a whole group report queue;
and S5, if the protection action signal type is protection start and the state value is reset, the fault is ended, and a fault brief report is generated according to the fault serial number of the protection start signal, the action element queue, the action event queue and the whole group of report queue.
Further, the step of determining the fault phase according to the power grid dynamic data comprises the following steps: extracting power grid short-circuit fault information in voltage and current, and determining a fault phase by using three-phase amplitude and direction of the fault voltage and current, wherein the specific logical reasoning is as follows:
s1, if the single-phase short-circuit current is zero and the non-fault phase voltage rises to the line voltage, the single-phase short-circuit is realized;
s2 if the two-phase short-circuit current is positive sequence current
The voltage of the non-fault phase at the short-circuit point is twice that of the positive sequence voltage, and the voltage of the fault phase is half that of the non-fault phase and opposite in direction, so that the short circuit is two-phase short circuit; otherwise, the three-phase short circuit is realized.
Further, the method further comprises the steps of collecting transient data, extracting fault waveform information including maximum short-circuit current, voltage and fault distance measurement according to the collected transient data, conducting power grid fault diagnosis, comparing a power grid fault diagnosis result determined by the transient data with diagnosis results obtained respectively based on steady-state data and dynamic data, if the power grid fault diagnosis results are consistent with the diagnosis results obtained respectively based on the steady-state data and the dynamic data, storing an analysis result, and otherwise prompting abnormal alarm.
In a second aspect, the present invention provides an intelligent alarm system based on polymorphic data coprocessing, which includes: the system comprises a data acquisition module, a steady-state data diagnosis module, a dynamic data diagnosis module and a collaborative reasoning diagnosis module; the data acquisition module is used for acquiring steady-state data and dynamic data of the power grid, and the steady-state data diagnosis module is used for determining a fault phase according to the steady-state data of the power grid, extracting action elements, action events and a whole set of report information according to a protection starting signal in the steady-state data of the power grid, generating a fault brief report according to logic intelligent reasoning, and uploading a diagnosis result and the generated fault brief report to the collaborative reasoning diagnosis module; the dynamic data diagnosis module is used for generating a fault brief report according to logical intelligent reasoning; acquiring power grid dynamic data, and determining a fault phase according to the power grid dynamic data;
the cooperative reasoning diagnosis module is used for judging whether the fault phase determined according to the power grid steady-state data is consistent with the fault phase determined according to the power grid dynamic data or not, and storing and issuing a fault brief report; otherwise, the alarm is prompted to be abnormal.
Furthermore, the system also comprises a human-computer interface, wherein the human-computer interface is connected with the collaborative reasoning diagnosis module through a message bus and is used for displaying the fault brief report.
The invention has the following beneficial technical effects: by means of cooperative processing of the multi-state data of the power grid, the real-time performance and the reliability of the intelligent warning system at the station end are improved.
Drawings
FIG. 1 is a flow chart of alarm processing according to an embodiment of the present invention
FIG. 2 is a logic diagram of intelligent inference for switch telecommand deflection and protection actions in an embodiment of the invention
FIG. 3 is a logic diagram of fault reporting in an embodiment of the present invention.
Detailed Description
The invention will be further explained with reference to the drawings. Fig. 1 is an alarm processing flow chart of an intelligent alarm method based on polymorphic data cooperative processing according to an embodiment of the present invention.
The polymorphic data collected by the intelligent alarm system at the station end have different data characteristics (table 1): the real-time performance of the steady-state data and the dynamic data is good, the real-time performance of fault diagnosis can be improved by utilizing the steady-state data and the dynamic data to carry out fault diagnosis, and warning information is sent to operation and maintenance personnel at the first time when a power grid fails; according to the space distribution condition of the secondary equipment, the steady-state data and the dynamic data can be completely monitored, but the distribution of the transient data according to the voltage level only has partial monitoring. If the transient data is at the unmonitorable point during the fault, the fault diagnosis can be carried out by independently utilizing the steady-state data and the dynamic data; if the fault recorder has faults, the short-circuit current and fault distance measurement information are obtained through the fault waveform of the transient data, the fault type is judged, and operation and maintenance personnel can be further assisted to carry out fault analysis and positioning.
Table 1: grid tri-state data characterization
The protection device RTU and the synchronous phasor measurement unit PMU are distributed at each interval at the station end, and all data are sent. And the fault recorder is distributed according to the voltage level at the station end, and all data are sent. Therefore, from the aspect of spatial distribution, the steady-state data and the dynamic data have complete monitorability, the transient data only have partial monitorability, and under the condition that the transient data are not monitored, the fault diagnosis can be carried out by independently utilizing the steady-state data and the dynamic data.
Example 1: the intelligent alarm method based on the polymorphic data coprocessing comprises the following steps: acquiring power grid steady-state data, determining a fault phase according to the power grid steady-state data, extracting action elements, action events and a whole set of report information according to a protection starting signal in the power grid steady-state data, and generating a fault brief report according to logical intelligent reasoning; acquiring power grid dynamic data, and determining a fault phase according to the power grid dynamic data; if the fault phase determined according to the power grid steady-state data is consistent with the fault phase determined according to the power grid dynamic data, storing and issuing a fault brief report; otherwise, the alarm is prompted to be abnormal.
In this embodiment, a switch telecommand deflection and a protection action signal of the station terminal protection device RTU are received in real time. By using a switch remote signaling deflection and protection action logic intelligent reasoning method, the power grid fault is judged quickly, an independent fault brief report is generated, and fault analysis results (such as fault time, fault equipment, fault phase and reclosing) are stored in a database.
The method comprises the steps of receiving dynamic data of a PMU (phasor measurement unit) of a station-side synchronous phasor measurement device in real time by using a dynamic data-based electric quantity diagnosis method, extracting information representing short-circuit faults of a power grid from three-phase amplitude values and phase angles of voltage and current, quickly diagnosing faults occurring in the power grid, comparing fault analysis results with steady-state data analysis results, storing the fault analysis results into a database if the fault analysis results are consistent with the steady-state data analysis results, and otherwise prompting abnormal alarm.
Fig. 2 is an intelligent inference logic diagram of switch telecommand deflection and protection action logic based on the intelligent alarm system and method based on polymorphic data coprocessing. The reasoning process comprises the following steps:
firstly, collecting steady state data, judging whether the data are switching signals, and then reasoning and judging from a switching tripping action signal time sequence corresponding to fault equipment: if the switching action sequence is 'first dividing then closing' and no 'second dividing' action, the fault is an interphase fault; otherwise, the fault is a single-phase fault; if the fault is a single-phase fault, whether the switching action signal is a split-phase signal is further analyzed, if the fault is the split-phase switching action signal, the specific phase of the split-phase signal is judged, if the signal is the A-phase switching action signal, the fault is the A-phase action, if the signal is the B-phase switching action signal, the fault is the B-phase action, and if the signal is the C-phase switching action signal, the fault is the C-phase action.
FIG. 3 is a logic diagram of a fault summary. The treatment process comprises the following steps:
firstly, when a power grid fails, judging whether a protection action signal meets the requirement that the protection action signal type is protection starting, namely BH _ ACT, and the state value is 'occurrence' by an intelligent inference diagnosis module based on steady-state data, determining that the fault is started, and caching a current fault serial number FN =0x 02H;
further, continuously acquiring a protection action signal, judging that the type of the protection action signal is an action element, and storing the action element when the fault sequence number FA of the action element is consistent with the fault sequence number FN of the protection starting signal;
further, continuously acquiring a protection action signal, judging that the type of the protection action signal is an action event, and storing the action event, wherein the fault sequence number FB of the action event is consistent with the fault sequence number FN of the protection starting signal;
further, continuously acquiring a protection action signal, judging the type of the protection action signal to be a whole group report, keeping a fault serial number FC of the whole group report consistent with a fault serial number FN of the protection starting signal, and storing the whole group report;
and finally, continuously acquiring a protection action signal, if the type of the protection action signal is protection starting, the name is BH _ ACT, and the state value is reset, ending the fault, and generating a fault brief report.
The embodiment provides an intelligent alarm method based on polymorphic data cooperative processing, polymorphic data of secondary equipment at a station end are acquired in real time in a direct acquisition and direct transmission mode, an intelligent logic cooperative reasoning diagnosis module based on steady-state data and dynamic data is established according to respective electrical characteristics of different data sources, and the result can be provided for operation and maintenance personnel to serve as a basis for next operation and maintenance. The method provided by the invention can improve the operation monitoring method of the secondary equipment of the power grid, does not completely depend on the original alarm information of the secondary equipment, and provides auxiliary monitoring measures. The method can quickly find out the abnormal operation of the power grid, remind operation and maintenance personnel to solve problems in time, prevent further expansion of accidents and improve the real-time performance and reliability of online fault diagnosis of the power grid.
Example 2: on the basis of embodiment 1, the intelligent alarm method based on polymorphic data coprocessing provided in this embodiment further includes: acquiring transient data, namely receiving the transient data sent by a wave recorder, extracting fault waveform information including maximum short-circuit current, voltage and fault location, performing power grid fault diagnosis, comparing a power grid fault diagnosis result determined by using the transient data with diagnosis results obtained respectively based on steady-state data and dynamic data, if the results are consistent, storing an analysis result, and otherwise, prompting an alarm to be abnormal. Due to the fact that instantaneity of transient data (fault recording) is low, the transient data are actively sent up after a power grid fails for a period of time. After receiving the transient data, the station-side intelligent alarm system further analyzes the fault type by using a voltage and current mode matching method similar to dynamic data.
According to the intelligent alarm method based on the multi-state data cooperative processing, when a power grid fails, firstly, intelligent reasoning diagnosis and electric quantity diagnosis are carried out on steady-state data and dynamic data, and fault time, fault equipment, fault phase and reclosing are analyzed and judged to generate an independent fault brief report. And if the spatial distribution point comprises a fault recorder, performing electric quantity diagnosis on the transient data, and further analyzing short-circuit current, voltage and fault distance measurement. And finally, comprehensively comparing the three-state fault data analysis results, and providing timely and reliable fault diagnosis information for operation and maintenance personnel. And the power grid fault is judged and inferred cooperatively through intelligent inference of steady-state data, dynamic data and transient data and electric quantity characteristic diagnosis.
Example 3: corresponding to the embodiment provided by the intelligent alarm method based on the collaborative processing of the polymorphic data provided by embodiment 1, the embodiment provides an intelligent alarm system based on the collaborative processing of the polymorphic data, which includes: the system comprises a data acquisition module, a steady-state data diagnosis module, a dynamic data diagnosis module and a collaborative reasoning diagnosis module; the data acquisition module is used for acquiring steady-state data and dynamic data of the power grid, and the steady-state data diagnosis module is used for determining a fault phase according to the steady-state data of the power grid, extracting action elements, action events and a whole set of report information according to a protection starting signal in the steady-state data of the power grid, generating a fault brief report according to logic intelligent reasoning, and uploading a diagnosis result and the generated fault brief report to the collaborative reasoning diagnosis module; the dynamic data diagnosis module is used for generating a fault brief report according to logical intelligent reasoning; acquiring power grid dynamic data, and determining a fault phase according to the power grid dynamic data;
the cooperative reasoning diagnosis module is used for judging whether the fault phase determined according to the power grid steady-state data is consistent with the fault phase determined according to the power grid dynamic data or not, and storing and issuing a fault brief report; otherwise, the alarm is prompted to be abnormal.
Example 4: on the basis of embodiment 3, the intelligent alarm system based on multi-state data cooperative processing provided by this embodiment further includes a transient data diagnosis module, where the transient extracts fault waveform information including maximum short-circuit current, voltage, and fault location according to the acquired transient data, and performs power grid fault diagnosis;
and the collaborative reasoning diagnosis module is also used for comparing the power grid fault diagnosis result determined by using the transient data with the diagnosis result obtained respectively based on the steady-state data and the dynamic data, if the results are consistent, storing the analysis result, and otherwise, prompting an alarm to be abnormal.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, devices/units/modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. The intelligent alarm method based on the polymorphic data coprocessing is characterized by comprising the following steps: acquiring power grid steady-state data, determining a fault phase according to the power grid steady-state data, extracting action elements, action events and a whole set of report information according to a protection starting signal in the power grid steady-state data, and generating a fault brief report according to logical intelligent reasoning; acquiring power grid dynamic data, and determining a fault phase according to the power grid dynamic data;
if the fault phase determined according to the power grid steady-state data is consistent with the fault phase determined according to the power grid dynamic data, storing and issuing a fault brief report; otherwise, the alarm is prompted to be abnormal.
2. The intelligent alarm method based on polymorphic data coprocessing according to claim 1, wherein the step of determining the fault phase according to the steady-state data of the power grid comprises the following steps:
when the power grid fails, a switch split-phase action signal is obtained according to a remote signaling deflection signal in the steady-state data of the power grid, and a switch split-phase action sequence is obtained according to the switch split-phase action signal; if the switching action sequence is 'divide first then close' and no 'divide again' action, it is a phase-to-phase fault, otherwise it is a single-phase fault;
if the fault is a single-phase fault and the switch contains split-phase action information, the switch action phase is the corresponding fault phase.
3. The intelligent alarm method based on polymorphic data coprocessing according to claim 1, characterized in that the specific method for generating fault bullets according to logic intelligent reasoning is as follows:
s1, when the power grid fails, a protection action signal is obtained, and if the protection action signal is protection starting and the state is that the protection action signal has occurred, the fault serial number of the protection starting signal is cached;
s2: if the protection action signal is an action element and the fault serial number of the action element is consistent with the fault serial number of the protection starting signal, storing the protection action signal in an action element queue;
s3, if the protection action signal is an action event, and the fault serial number of the protection action signal and the fault serial number of the protection starting signal are stored in an action event queue;
s4, if the report is a whole group report and the fault sequence number of the report is consistent with that of the protection starting signal, the report is stored in a whole group report queue;
and S5, if the protection action signal type is protection start and the state value is reset, the fault is ended, and a fault brief report is generated according to the fault serial number of the protection start signal, the action element queue, the action event queue and the whole group of report queue.
4. The intelligent alarm method based on polymorphic data coprocessing according to claim 1, wherein the step of determining the fault phase according to the dynamic data of the power grid comprises the following steps: extracting power grid short-circuit fault information in voltage and current, and determining a fault phase by using three-phase amplitude and direction of the fault voltage and current, wherein the specific logical reasoning is as follows:
s1, if the single-phase short-circuit current is zero and the non-fault phase voltage rises to the line voltage, the single-phase short-circuit is realized;
s2 if the two-phase short-circuit current is positive sequence current
The voltage of the non-fault phase at the short-circuit point is twice that of the positive sequence voltage, and the voltage of the fault phase is half that of the non-fault phase and opposite in direction, so that the short circuit is two-phase short circuit; otherwise, the three-phase short circuit is realized.
5. The intelligent warning method based on multi-state data coprocessing according to claim 1, characterized in that the method further comprises collecting transient data, extracting fault waveform information including maximum short-circuit current, voltage and fault distance measurement according to the collected transient data, performing power grid fault diagnosis, comparing a power grid fault diagnosis result determined by using the transient data with diagnosis results obtained respectively based on steady-state data and dynamic data, if the results are consistent, storing the analysis result, otherwise, prompting warning abnormality.
6. Intelligent alarm system based on polymorphic data coprocessing, its characterized in that includes: the system comprises a data acquisition module, a steady-state data diagnosis module, a dynamic data diagnosis module and a collaborative reasoning diagnosis module; the data acquisition module is used for acquiring steady-state data and dynamic data of the power grid, and the steady-state data diagnosis module is used for determining a fault phase according to the steady-state data of the power grid, extracting action elements, action events and a whole set of report information according to a protection starting signal in the steady-state data of the power grid, generating a fault brief report according to logic intelligent reasoning, and uploading a diagnosis result and the generated fault brief report to the collaborative reasoning diagnosis module; the dynamic data diagnosis module is used for generating a fault brief report according to logical intelligent reasoning; acquiring power grid dynamic data, and determining a fault phase according to the power grid dynamic data;
the cooperative reasoning diagnosis module is used for judging whether the fault phase determined according to the power grid steady-state data is consistent with the fault phase determined according to the power grid dynamic data or not, and storing and issuing a fault brief report; otherwise, the alarm is prompted to be abnormal.
7. The intelligent alarm system based on polymorphic data coprocessing according to claim 6, characterized in that the system further comprises a human-machine interface, the human-machine interface is connected with the collaborative reasoning diagnosis module through a message bus for displaying the fault bulletin.
8. The intelligent alarm system based on multi-state data coprocessing according to claim 6, characterized in that the system further comprises a transient data diagnosis module, wherein the transient extracts fault waveform information including maximum short-circuit current, voltage and fault distance measurement according to the acquired transient data to perform power grid fault diagnosis;
and the collaborative reasoning diagnosis module is also used for comparing the power grid fault diagnosis result determined by using the transient data with the diagnosis result obtained respectively based on the steady-state data and the dynamic data, if the results are consistent, storing the analysis result, and otherwise, prompting an alarm to be abnormal.
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| CN113934795A (en) * | 2021-10-19 | 2022-01-14 | 国网山东省电力公司平邑县供电公司 | Power grid early warning system based on distributed management |
| CN114048815A (en) * | 2021-11-12 | 2022-02-15 | 国网江苏省电力有限公司常州供电分公司 | Power grid operation information sensing system and sensing method based on plant side |
| CN115684844A (en) * | 2023-01-03 | 2023-02-03 | 国网江西省电力有限公司电力科学研究院 | Voltage sampling loop abnormity diagnosis method and system based on dynamic recording data |
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