CN113346614A - State evaluation system for secondary equipment of power grid intelligent substation - Google Patents
State evaluation system for secondary equipment of power grid intelligent substation Download PDFInfo
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- CN113346614A CN113346614A CN202110591922.4A CN202110591922A CN113346614A CN 113346614 A CN113346614 A CN 113346614A CN 202110591922 A CN202110591922 A CN 202110591922A CN 113346614 A CN113346614 A CN 113346614A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/12—Network monitoring probes
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- 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
- Y04S10/16—Electric power substations
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- 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
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
Abstract
The invention discloses a state evaluation system for secondary equipment of a power grid intelligent substation, which comprises secondary equipment arranged among intelligent substations and an evaluation system for evaluating the secondary equipment; the evaluation system comprises a secondary equipment working state acquisition module, an evaluation module and a cloud storage module, wherein the evaluation module is used for evaluating data information in the secondary equipment working state acquisition module, and the cloud storage module is used for storing evaluation information in the secondary equipment working state acquisition module and the evaluation module. The invention can intelligently detect the information of the secondary equipment, evaluate the state of the secondary equipment through the evaluation model, provide a corresponding solution and greatly improve the intelligence of the evaluation system.
Description
Technical Field
The invention relates to the technical field of intelligent substations, in particular to a state evaluation system for secondary equipment of a power grid intelligent substation.
Background
The information digitization, the communication platform networking and the information sharing of the intelligent substation provide favorable conditions for the state monitoring of the secondary equipment, the traditional state monitoring of the secondary equipment, particularly the IEC61850 standard, does not include modeling of switch equipment in the intelligent substation, so that the state monitoring of the secondary equipment is not perfect at present, and meanwhile, in the practical application of the state monitoring of the secondary equipment, only the problems and the abnormity existing in the substation can be found, and the reason of the fault is difficult to analyze; the classification, intelligent processing and subsequent fault early warning of the warning message are still in research and experimental stages at present, and are rarely applied to the transformer substation.
Disclosure of Invention
The invention aims to provide a state evaluation system for secondary equipment of a power grid intelligent substation, which can monitor the state of a switch, evaluate the state of the secondary equipment through an evaluation model, and provide a solution to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a state evaluation system for secondary equipment of an intelligent substation of a power grid comprises secondary equipment arranged among the intelligent substations and an evaluation system used for evaluating the secondary equipment, wherein the secondary equipment comprises a merging unit, an intelligent terminal, a measurement and control device, an exchanger and a network system, the merging unit and the intelligent terminal are connected with the exchanger through optical fibers, the exchanger comprises an SV network exchanger and a GOOSE network exchanger, and the network system comprises an SV network consisting of the SV network exchanger and a GOOSE network system consisting of the GOOSE network exchanger; the evaluation system comprises a secondary equipment working state acquisition module, an evaluation module and a cloud storage module, wherein the evaluation module is used for evaluating data information in the secondary equipment working state acquisition module, and the cloud storage module is used for storing evaluation information in the secondary equipment working state acquisition module and the evaluation module.
Preferably, the secondary equipment working state acquisition module comprises a protection type data acquisition module, a measurement and control type data acquisition module and a switch state acquisition module, and the secondary equipment working state acquisition module is in data connection with the evaluation module.
Preferably, the protection data acquisition module is configured to acquire current and voltage data of a merging unit having a protection function and/or related to the protection function and an intelligent terminal, and access the current and voltage data to a network system through a GOOSE and SV common interface.
Preferably, the measurement and control data acquisition module is used for acquiring current and voltage data of a merging unit and a functional terminal which have measurement and control functions and/or are related to a detection function, and the current and voltage data are connected to a network system through a GOOSE and SV common interface mode.
Preferably, the switch state acquisition module is used for acquiring the working state data of the switch, and the switch state acquisition module comprises a switch port flow acquisition module, a switch port receiving light intensity acquisition module, a switch port sending light intensity acquisition module and a switch port working temperature acquisition module.
Preferably, the evaluation module comprises a protection data evaluation layer, a measurement and control data evaluation layer, a switch working state evaluation layer, an evaluation model layer and a deep learning convolution layer, and the protection data evaluation layer, the measurement and control data evaluation layer and the switch working state evaluation layer are connected with the evaluation model layer in data.
Preferably, the protection data evaluation layer is used for evaluating signals collected by the protection data collection module, and the measurement and control data evaluation layer is used for evaluating signals collected by the measurement and control data collection module.
Preferably, an evaluation model used for evaluation is stored in the evaluation model layer, the deep learning convolution layer is connected with the data of the evaluation model layer to learn and train the evaluation model, and the evaluation model can be called by the protection type data evaluation layer, the measurement and control type data evaluation layer and the switch work evaluation layer to evaluate the data in the evaluation model layer.
Preferably, the evaluation model comprises a comparative analysis layer, a message grading layer, a message comparison layer, an intelligent processing layer and a subsequent fault early warning layer, and the comparative analysis layer, the message grading layer and the message comparison layer are connected with the intelligent processing layer and the subsequent fault early warning layer in a data connection manner.
Preferably, the comparison analysis layer compares the data information acquired by the secondary equipment working state acquisition module with preset information to judge whether the equipment fails; the message comparison layer can check the continuity and the legality of the messages so as to judge whether the transformer substation network is normal or not; the message grading layer is used for grading the alarm message, and mining data through the intelligent processing layer by a data flow mining algorithm so as to obtain a large amount of message information with useful value; dividing the messages into different levels through corresponding algorithms, providing processing schemes for the messages of the different levels, and providing help for the defect eliminating work of field operation and maintenance personnel; and the subsequent fault early warning layer analyzes the subsequent possible faults and provides corresponding subsequent fault early warning information.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention collects the working state of the switch through the switch port flow collection module, the switch port receiving light intensity collection module, the switch port transmitting light intensity collection module and the switch port working temperature collection module, the information is transmitted to the evaluation model layer, the evaluation model evaluates the corresponding information, the comprehensive evaluation of the switch state is completed, and the detection of the secondary equipment is favorably perfected;
2. according to the method, the evaluation model is trained through a corresponding algorithm in the deep learning convolutional layer, and then the working state of the secondary equipment is intelligently evaluated through the evaluation model, so that the evaluation speed and efficiency are improved;
3. the intelligent processing layer of the invention provides processing schemes for messages of different levels, and can help the on-site operation and maintenance personnel to eliminate the defects.
Drawings
FIG. 1 is a system block diagram of a system for evaluating the state of secondary equipment of a power grid intelligent substation;
fig. 2 is a schematic block diagram of the state evaluation of the secondary device according to the present invention.
In the figure: 100. an evaluation system; 101. secondary equipment; 1001. a secondary equipment working state acquisition module; 10011. a protection data acquisition module; 10012. a measurement and control data acquisition module; 10013. a switch state acquisition module; 100131, a switch port flow collection module, 100132, a switch port receiving light intensity collection module, 100133 and a switch port sending light intensity collection module; 100134, a switch port working temperature acquisition module; 1002. an evaluation module; 10021. a protection type data evaluation layer; 10022. a measurement and control data evaluation layer; 10023. a switch working state evaluation layer; 10024. evaluating the model layer; 10025. deep learning convolutional layer; 1003. a cloud storage module; 102. evaluating the model; 1021. comparing the analysis layers; 1022. a message classification layer; 1023. a message comparison layer; 1024. an intelligent processing layer; 1025. and (5) a subsequent fault early warning layer.
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. 1-2, the present invention provides a technical solution: a state evaluation system for secondary equipment 101 of an intelligent substation of a power grid comprises secondary equipment 101 installed between intelligent substations and an evaluation system 100 used for evaluating the secondary equipment 101, wherein the secondary equipment 101 comprises a merging unit, an intelligent terminal, a measurement and control device, a switch and a network system, the merging unit and the intelligent terminal are connected with the switch through optical fibers, the switch comprises an SV network switch and a GOOSE network switch, and the network system comprises an SV network formed by the SV network switch and a GOOSE network system formed by the GOOSE network switch; the evaluation system 100 comprises a secondary equipment working state acquisition module 1001, an evaluation module 1002 and a cloud storage module 1003, wherein the evaluation module 1002 is used for evaluating data information in the secondary equipment working state acquisition module 1001, and the cloud storage module 1003 is used for storing evaluation information in the secondary equipment working state acquisition module 1001 and the evaluation module 1002.
The secondary device working state acquisition module 1001 includes a protection data acquisition module 10011, a measurement and control data acquisition module 10012 and a switch state acquisition module 10013, and the secondary device working state acquisition module 1001 is in data connection with the evaluation module 1002.
The protection data acquisition module 10011 is configured to acquire current and voltage data of a merging unit and an intelligent terminal having a protection function and/or related to the protection function, and access the current and voltage data to a network system through a GOOSE and SV common interface.
The measurement and control data acquisition module 10012 is configured to acquire current and voltage data of a merging unit and an intelligent terminal having a measurement and control function and/or related to the measurement and control function, and access the current and voltage data to a network system through a GOOSE and SV common interface.
The switch state collection module 10013 is configured to collect operating state data of the switch, and the switch state collection module 10013 includes a switch port flow collection module 100131, a switch port received light intensity collection module 100132, a switch port transmitted light intensity collection module 100133, and a switch port operating temperature collection module 100134.
The evaluation module 1002 includes a protection data evaluation layer 10021, a measurement and control data evaluation layer 10022, a switch operating state evaluation layer 10023, an evaluation model layer 10024, and a deep learning convolution layer 10025, where the protection data evaluation layer 10021, the measurement and control data evaluation layer 10022, and the switch operating state evaluation layer 10023 are in data connection with the evaluation model layer 10024.
The protection data evaluation layer 10021 is configured to evaluate the signals acquired by the protection data acquisition module 10011, and the measurement and control data evaluation layer 10022 is configured to evaluate the signals acquired by the measurement and control data acquisition module 10012.
The evaluation model layer 10024 stores therein an evaluation model 102 for evaluation, the deep learning convolution layer 10025 is in data connection with the evaluation model layer 10024, and learns and trains the evaluation model 102, and the evaluation model 102 can be called by the protection type data evaluation layer 10021, the measurement and control type data evaluation layer 10022, and the switch work evaluation layer to evaluate data therein.
The evaluation model 102 includes a comparison analysis layer 1021, a message classification layer 1022, a message comparison layer 1023, an intelligent processing layer 1024, and a subsequent fault pre-warning layer 1025, wherein the comparison analysis layer 1021, the message classification layer 1022, and the message comparison layer 1023 are in data connection with the intelligent processing layer 1024 and the subsequent fault pre-warning layer 1025.
The comparison analysis layer 1021 compares the data information acquired by the secondary equipment working state acquisition module 1001 with preset information, and judges whether the equipment fails; the message comparison layer 1023 can check the continuity and the legality of the messages so as to judge whether the transformer substation network is normal or not; the message classification layer 1022 is configured to classify the alarm message, and mine data through a data stream mining algorithm by the intelligent processing layer 1024, so as to obtain a large amount of message information with a useful value; dividing the messages into different levels through corresponding algorithms, providing processing schemes for the messages of the different levels, and providing help for the defect eliminating work of field operation and maintenance personnel; subsequent fault early warning layer 1025 analyzes subsequent possible faults and provides corresponding subsequent fault early warning information.
The working principle is as follows: the switch port flow acquisition module 100131, the switch port received light intensity acquisition module 100132, the switch port transmitted light intensity acquisition module 100133 and the switch port working temperature acquisition module 100134 acquire the working state of the switch, the information is transmitted to the evaluation model layer 10024, the evaluation model 102 evaluates corresponding information, the comprehensive evaluation of the state of the switch is completed, the detection of the secondary equipment 101 is perfected, and the system fault caused by the switch problem is reduced; the evaluation model 102 is trained through a corresponding algorithm in the deep learning convolutional layer 10025, and then the working state of the secondary equipment 101 is intelligently evaluated through the evaluation model 102, so that the evaluation speed and efficiency are improved; by respectively evaluating the protection data and the measurement and control data, misoperation of the power grid protection device caused by the problem of single kind of data is avoided; the comparative analysis layer 1021, the message classification layer 1022 and the message comparison layer 1023 analyze the message information and the indexes of the secondary equipment 101, so that problems and faults in the transformer substation can be found, meanwhile, the reasons of the faults can be analyzed simultaneously through the intelligent analysis layer, and the operation and maintenance efficiency of the transformer substation is improved.
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. In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. In the description of the present invention, it is to be noted that unless otherwise explicitly specified or limited such as "connected", it may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Claims (10)
1. A power grid intelligent substation secondary device state evaluation system, includes secondary device (101) and evaluation system (100) that is used for assessing the secondary device (101) state that set up between intelligent substation, characterized by that: the secondary equipment (101) comprises a merging unit, an intelligent terminal, a measurement and control device, an exchanger and a network system, wherein the merging unit and the intelligent terminal are connected with the exchanger through optical fibers, the exchanger comprises an SV network exchanger and a GOOSE network exchanger, and the network system comprises an SV network consisting of the SV network exchanger and a GOOSE network system consisting of the GOOSE network exchanger; the evaluation system (100) comprises a secondary equipment working state acquisition module (1001), an evaluation module (1002) and a cloud storage module (1003), wherein the evaluation module (1002) is used for evaluating data information in the secondary equipment working state acquisition module (1001), and the cloud storage module (1003) is used for storing evaluation information in the secondary equipment working state acquisition module (1001) and the evaluation module (1002).
2. The system for evaluating the state of the secondary equipment of the power grid intelligent substation according to claim 1 is characterized in that: the secondary equipment working state acquisition module (1001) comprises a protection type data acquisition module (10011), a measurement and control type data acquisition module (10012) and a switch state acquisition module (10013), and the secondary equipment working state acquisition module (1001) is in data connection with the evaluation module (1002).
3. The system for evaluating the state of the secondary equipment of the power grid intelligent substation according to claim 2 is characterized in that: the protection data acquisition module (10011) is used for acquiring current and voltage data of a merging unit and an intelligent terminal which have a protection function and/or are related to the protection function, and accessing the current and voltage data into a network system through a GOOSE and SV common interface mode.
4. The system for evaluating the state of the secondary equipment of the power grid intelligent substation according to claim 2 is characterized in that: the measurement and control type data acquisition module (10012) is used for acquiring current and voltage data of a merging unit and an intelligent terminal which have measurement and control functions and/or are related to the measurement and control functions, and accessing the current and voltage data into a network system through a GOOSE and SV common interface mode.
5. The system for evaluating the state of the secondary equipment of the power grid intelligent substation according to claim 2 is characterized in that: the switch state acquisition module (10013) is used for acquiring the working state data of the switch, the switch state acquisition module (10013) comprises a switch port flow acquisition module (100131), a switch port receiving light intensity acquisition module (100132), a switch port sending light intensity acquisition module (100133) and a switch port working temperature acquisition module (100134).
6. The system for evaluating the state of the secondary equipment of the power grid intelligent substation according to claim 1 is characterized in that: the evaluation module (1002) comprises a protection type data evaluation layer (10021), a measurement and control type data evaluation layer (10022), a switch working state evaluation layer (10023), an evaluation model layer (10024) and a deep learning convolution layer (10025), wherein the protection type data evaluation layer (10021), the measurement and control type data evaluation layer (10022), the switch working state evaluation layer (10023) are in data connection with the evaluation model layer (10024).
7. The system for evaluating the state of the secondary equipment of the power grid intelligent substation according to claim 6, characterized in that: the protection data evaluation layer (10021) is used for evaluating signals collected by the protection data acquisition module (10011), and the measurement and control data evaluation layer (10022) is used for evaluating signals collected by the measurement and control data acquisition module (10012).
8. The system for evaluating the state of the secondary equipment of the power grid intelligent substation according to claim 6, characterized in that: the evaluation model layer (10024) is internally stored with an evaluation model (102) for evaluation, the deep learning convolution layer (10025) is in data connection with the evaluation model layer (10024) to learn and train the evaluation model (102), and the evaluation model (102) can be called by the protection type data evaluation layer (10021), the measurement and control type data evaluation layer (10022) and the switch work evaluation layer to evaluate the data in the evaluation model layer.
9. The system for evaluating the state of the secondary equipment of the power grid intelligent substation according to claim 8, characterized in that: the evaluation model (102) comprises a comparison analysis layer (1021), a message grading layer (1022), a message comparison layer (1023), an intelligent processing layer (1024) and a subsequent fault early warning layer (1025), wherein the comparison analysis layer (1021), the message grading layer (1022) and the message comparison layer (1023) are in data connection with the intelligent processing layer (1024) and the subsequent fault early warning layer (1025).
10. The system for evaluating the state of the secondary equipment of the power grid intelligent substation according to claim 9 is characterized in that: the comparison analysis layer (1021) compares the data information acquired by the secondary equipment working state acquisition module (1001) with preset information to judge whether the equipment fails; the message comparison layer (1023) can check the continuity and the legality of the messages so as to judge whether the transformer substation network is normal; the message grading layer (1022) is used for grading the alarm message, and mining data through the intelligent processing layer (1024) by a data stream mining algorithm so as to acquire a large amount of message information with useful value; dividing the messages into different levels through corresponding algorithms, providing processing schemes for the messages of the different levels, and providing help for the defect eliminating work of field operation and maintenance personnel; the subsequent fault early warning layer (1025) analyzes subsequent possible faults and provides corresponding subsequent fault early warning information.
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| CN114172269A (en) * | 2021-12-10 | 2022-03-11 | 国网江苏省电力有限公司检修分公司 | Fault diagnosis and evaluation system for secondary equipment of intelligent substation |
| CN114172269B (en) * | 2021-12-10 | 2024-03-15 | 国网江苏省电力有限公司检修分公司 | Fault diagnosis and evaluation system for intelligent substation secondary equipment |
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