CN110707687A - Intelligent checking platform and method for power grid running state - Google Patents
Intelligent checking platform and method for power grid running state Download PDFInfo
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- CN110707687A CN110707687A CN201910851246.2A CN201910851246A CN110707687A CN 110707687 A CN110707687 A CN 110707687A CN 201910851246 A CN201910851246 A CN 201910851246A CN 110707687 A CN110707687 A CN 110707687A
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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
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Abstract
The invention discloses a power grid operation state intelligent checking platform and a method, and the power grid operation state intelligent checking platform comprises a power grid operation checking platform main body, a power grid parameter management module, a line parameter management unit, a main transformer parameter management unit, a unit parameter management unit, a stable section management unit, a power grid operation state intelligent checking module, an SVG (scalable vector graphics) graph management unit, a power grid model management unit, a telemetering data management unit, a power grid operation real-time display unit and a normal operation graph management unit; the intelligent checking platform for the running state of the power grid realizes the dynamic generation and checking functions of the scheduling accident plan; the continuous power supply capacity of the company power grid can be guaranteed in the later period, the daily maintenance of the power grid is arranged according to the operation plan in a normal state, the operation mode of the power grid is adjusted in time, and the real-time operation mode and state of the power grid can be intelligently sensed and checked; and according to the real-time power grid state and the operation mode, automatically analyzing and calculating a fault handling plan according to the fault element, and giving out a fault handling step.
Description
Technical Field
The invention relates to the technical field of power grid checking, in particular to a power grid running state intelligent checking platform and a power grid running state intelligent checking method.
Background
From the research of the related organizations and power grid companies at home and abroad at present, the research of integrating operation state check and automatic analysis, generation and check of the plans is less, the management of the plans is mainly focused on the management of flow specialties, or deeper, the manual graphical planning of the dispatchers is supported in an objective mode, the research of automatically generating the analysis plans by completely depending on expert models is rare, along with the increasing expansion of the power grid scale of the companies, the corresponding operation characteristics are gradually complicated, the pressure of the dispatchers for maintaining the stable operation of the power grid is gradually increased, when the power grid meets an emergency accident, the faults need to be quickly treated according to the plans, and in the past, due to the lack of the functions of basic support systems, the data models among the systems lack of unified standards, and the integration is difficult; in order to quickly deal with the power grid abnormity and faults, a dispatcher needs to write a large number of dispatching plans to assist in power grid accident handling, and the current manual writing of the dispatcher is relied on, so that the writing task is heavy.
Disclosure of Invention
The invention aims to provide a power grid running state intelligent checking platform and a method, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an intelligent power grid operation state checking platform comprises a power grid operation checking platform main body, a power grid parameter management module, a line parameter management unit, a main transformer parameter management unit, a unit parameter management unit, a stable section management unit, a power grid operation state intelligent checking module, an SVG (scalable vector graphics) management unit, a power grid model management unit, a telemetry data management unit, a power grid operation real-time display unit, a normal operation graph management unit, a power grid operation abnormity monitoring unit, an intelligent scheduling plan management module, an EMS (energy management system) and BPA (business platform) model management unit, a fault collection management unit, an important user management unit, a power grid operation safety checking unit, a risk assessment factor management unit, a power grid operation risk assessment unit, an intelligent scheduling expert model management unit, a power grid operation accident handling scheme unit, a plan self-checking management unit, an accident plan management module, a fault plan management unit, the system comprises an accident plan management unit, a historical plan query unit, an accident plan full-flow visualization unit and a system support platform, wherein the system support platform is installed in a power grid operation check platform main body, a power grid parameter management module, a power grid operation state intelligent check module, an intelligent scheduling plan management module and an accident plan management module are installed in the power grid operation check platform main body, a line parameter management unit, a main transformer parameter management unit, a unit parameter management unit and a stable section management unit are installed in the power grid parameter management module, an SVG (scalable vector graphics) management unit, a power grid model management unit, a telemetering data management unit, a power grid operation real-time display unit, a normal operation graphic management unit and a power grid operation abnormity monitoring unit are installed in the power grid operation state intelligent check module, and an EMS (electronic service platform) and a BPA model management unit are installed in the intelligent scheduling plan management module, The system comprises a fault collection management unit, an important user management unit, a power grid operation safety check unit, a risk evaluation factor management unit, a power grid operation risk evaluation unit, an intelligent scheduling expert model management unit, a power grid operation accident handling scheme unit and a plan self-checking management unit, wherein an accident plan management unit, a historical plan query unit and an accident plan full-flow visualization unit are installed in an accident plan management module.
An intelligent checking method for the running state of a power grid comprises the following steps of firstly, constructing a platform system; managing power grid parameters; step three, checking the running state of the power grid; step four, managing an intelligent scheduling plan; step five, managing accident plan library;
in the first step, a system supporting platform is constructed by depending on basic equipment such as an OSB bus, a data center and the like which are already built in an earlier stage in a power grid and basic application structures such as an OCS system, an OMS system, a scheduling operation and network command system and the like, and a power grid parameter management module, a power grid running state intelligent verification module, an intelligent scheduling plan management module and an accident plan library management module are distributed and constructed on the system supporting platform to complete platform system construction;
in the second step, the system supporting platform is matched with the power grid parameter management module to work, maintenance management is firstly carried out on basic parameters of the power transmission line regulated and managed by the power grid through the line parameter management unit, and the power grid parameters are conducted with the processes of importing, exporting, newly adding, editing, deleting, inquiring and the like; maintaining and managing basic parameters of a transformer substation regulated and managed by a power grid, a main transformer in the substation and user loads through a main transformer parameter management unit; the method comprises the following steps that maintenance management is carried out on power plant information in a power grid range and basic parameters of units in a plant through a unit parameter management unit; basic maintenance of stable section data and query statistics of historical sections are carried out through a stable section management unit;
in the third step, the system supporting platform is matched with the power grid running state intelligent verification module to work, the SVG graphic management unit is integrated with the power grid OCS/EMS system to periodically acquire SVG graphic files from a power grid safety I area, and the bus wiring mode type is initialized and managed through manual maintenance and used for completing the modeling relation of buses and lines under different bus wiring modes carried by the system; the method comprises the steps that a grid frame model file, namely a CIM model file, from a power grid security I area is obtained regularly through integration of a power grid model management unit and a power grid OCS/EMS system; through the integration of a telemetering data management unit and a power grid OCS/EMS system, a telemetering data file from a security I area, namely an E-format file, is periodically acquired; acquiring power grid telemetering data in real time through a power grid operation real-time display unit, analyzing states of key equipment such as a power grid bus, an incoming and outgoing line switch and a bus tie switch, intelligently reasoning actual layout and internal connection of the power grid bus and a load circuit thereof on the basis of a power grid network frame model structure, applying an analysis result to an SVG (scalable vector graphics) graphic file automatically maintained by a system, automatically completing modeling of the bus and the circuit, and generating a power grid operation diagram with a bus graphic element as a core node and the circuit as a tie line; maintaining a power grid operation diagram with a bus primitive as a core node and a line as a tie line in a normal operation state of a power grid through a normal operation graph management unit; compared with the difference between the normal running equipment state and the real-time running equipment state through intelligent real-time mapping of the power grid running abnormity monitoring unit, and meanwhile, the real-time pushing reminding or warning is realized according to the abnormal characteristics by combining the common incentive characteristics of the real-time running state;
in the fourth step, the system supporting platform is matched with the intelligent scheduling plan management module to work for checking the running state of the power grid and simulating the power grid accidents, a multi-dimensional intelligent scheduling expert model is established, the inherent logic relation of the power grid accidents is intelligently analyzed, and the scheduling accident plan is dynamically generated and checked in combination with the power grid safety analysis calculation; the management of the mapping relation between an EMS model and a BPA model in power flow analysis is realized through an EMS and BPA model management unit, basic support is provided for high-level application of an intelligent scheduling plan management module, and a fault set maintenance management function is provided through a fault set management unit; the import of the important user table is provided through an important user management unit; a fault set and a similar day are assigned through the work of a power grid operation safety check unit, a system obtains a corresponding CIM file according to input (the similar day is assigned), an EMS model-BPA model conversion program is started, a BPA model file is generated, the simulation analysis of a power system is executed, and a ground state power flow analysis result is returned. Integrating expected fault sets, generating an accident simulation model, triggering backup power automatic switching strategy simulation and stability control strategy simulation, counting lost sites and loads, important users and loss output by adopting extensive search, carrying out risk assessment, calculating accident event grade, carrying out fault state trend analysis and judging out-of-limit information; maintaining the value of each factor required for risk assessment through a risk assessment factor management unit; evaluating the accident consequence of the power grid operation risk caused by the maintenance plan or the specified fault according to the relative requirements of the number and the new regulation of the company by the power grid operation risk evaluation unit, quantitatively evaluating the power grid operation risk, determining the grade division of the risk influence and the risk probability, and judging the quantitative grade of the risk influence and the risk probability; the intelligent scheduling expert model management unit is used for maintaining an intelligent scheduling expert model library and providing decision suggestions for a power grid operation accident handling scheme; the grid structure with the power grid operation risk in the risk assessment is realized through the work of the power grid operation accident disposal scheme unit, and a corresponding power grid operation accident disposal plan is generated by combining an intelligent scheduling expert model; the accident plan self-checking based on the current or future state is realized through the work of the plan self-checking management unit; when the structure of the power grid changes, the system automatically checks the effective plan set through manual or periodic setting, and automatically prompts and alarms when unreasonable results are found;
in the fifth step, the dispatching accident plan is managed by matching the system supporting platform with the accident plan management module, and under the support of the graphical framework and the electrical topology analysis algorithm provided by the basic platform and under the guidance of the emergency general scheme of the electric power safety accident; the accident plan management unit works to realize the flow management of automatic generation, manual adjustment, audit approval, release and the like of the scheduling accident plan; the process supervision and the assessment of the accident plan are realized; the real-time retrieval of the historical plans is realized through the work of a historical plan query unit, a system reads a fault element in an EMS system, the accident plans under the fault condition are automatically retrieved, and the accident treatment decision of a regulator is assisted; and the whole-process analysis result of the accident plan is visually displayed through the whole-process visualization unit of the accident plan.
According to the technical scheme, in the first step, a framework safety area is integrated on a system supporting platform.
According to the technical scheme, in the second step, the line parameter management unit, the main transformer parameter management unit, the unit parameter management unit and the stable section management unit can perform addition, edition, deletion, query, EXCEL export and statistical analysis on the power grid data during operation.
According to the technical scheme, in the third step, the SVG graphic files processed by the SVG graphic management unit comprise a power grid tidal current diagram and a station wiring diagram, and the acquisition frequency is updated once a day in principle.
According to the technical scheme, in the third step, the acquisition frequency of the grid model file, namely the CIM model file, is updated once a day in principle.
According to the technical scheme, in the third step, the telemetering data file, namely the E-format file, is acquired once every minute in principle.
According to the technical scheme, in the fourth step, the EMS and BPA model management unit, the fault collection management unit and the important user management unit can perform adding, editing and deleting operations on file information during operation, and the file format is an excel file.
According to the technical scheme, the information displayed in the accident plan full-flow visualization mode comprises analysis results of each step of the system, such as a pre-operation mode analysis process, a post-operation mode and result, an accident treatment suggestion and reason, accident influence assessment and the like.
Compared with the prior art, the invention has the following beneficial effects: the intelligent checking platform for the power grid running state is adapted to the function architecture of a running state checking and accident plan dynamic generation system in the large power grid state through power grid running state management and power grid accident handling processes based on new technologies in the current industry such as an expert system and natural language processing; designing and developing a bus running state dynamic checking function; establishing a multi-dimensional intelligent plan expert model, realizing the logical connotation of information such as intelligent analysis regulation specification and operation data, and realizing the dynamic generation and verification functions of the scheduling accident plan by combining with the online safety analysis calculation of the power grid; the continuous power supply capacity of the company power grid can be guaranteed in the later period, the daily maintenance of the power grid is arranged according to the operation plan in a normal state, the operation mode of the power grid is adjusted in time, and the real-time operation mode and state of the power grid can be intelligently sensed and checked; according to the real-time power grid state and the operation mode, automatically analyzing and calculating a fault handling plan according to the fault element, and giving a fault handling step; the fault handling plan can be automatically analyzed and calculated according to the real-time power grid state and the operation mode and the fault elements.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the internal structure of a verification platform system according to the present invention;
FIG. 2 is a system flow diagram of a verification platform of the present invention;
FIG. 3 is a flow chart of a method of use of the present invention;
in the figure: 1. the power grid operation checking platform main body; 2. a power grid parameter management module; 3. a line parameter management unit; 4. a main transformer parameter management unit; 5. A unit parameter management unit; 6. a stable section management unit; 7. the power grid running state intelligent checking module; 8. an SVG graphic management unit; 9. a power grid model management unit; 10. a telemetry data management unit; 11. a power grid operation real-time display unit; 12. normally operating a graphic management unit; 13. a power grid operation abnormity monitoring unit; 14. an intelligent scheduling plan management module; 15. EMS and BPA model management unit; 16. a fault collection management unit; 17. an important user management unit; 18. a power grid operation safety checking unit; 19. a risk assessment factor management unit; 20. a power grid operation risk evaluation unit; 21. an intelligent scheduling expert model management unit; 22. a power grid operation accident disposal scheme unit; 23. a plan self-checking management unit; 24. an accident plan library management module; 25. an accident plan management unit; 26. a historical plan query unit; 27. an accident plan full-flow visualization unit; 28. the system supports the platform.
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. 1-3, the present invention provides a technical solution: a power grid operation state intelligent checking platform comprises a power grid operation checking platform body 1, a power grid parameter management module 2, a line parameter management unit 3, a main transformer parameter management unit 4, a unit parameter management unit 5, a stable section management unit 6, a power grid operation state intelligent checking module 7, an SVG (scalable vector graphics) management unit 8, a power grid model management unit 9, a telemetering data management unit 10, a power grid operation real-time display unit 11, a normal operation graph management unit 12, a power grid operation abnormity monitoring unit 13, an intelligent scheduling plan management module 14, an EMS (enhanced message service) and BPA (business process analysis) model management unit 15, a fault set management unit 16, an important user management unit 17, a power grid operation safety checking unit 18, a risk assessment factor management unit 19, a power grid operation risk assessment unit 20, an intelligent scheduling expert model management unit 21, The system comprises a power grid operation accident handling scheme unit 22, a plan self-checking management unit 23, an accident plan library management module 24, an accident plan management unit 25, a historical plan query unit 26, an accident plan full-flow visualization unit 27 and a system support platform 28, wherein the system support platform 28 is installed in a power grid operation checking platform main body 1, a power grid parameter management module 2, a power grid operation state intelligent checking module 7, an intelligent scheduling plan management module 14 and the accident plan library management module 24 are installed in the power grid operation checking platform main body 1, a line parameter management unit 3, a main transformer parameter management unit 4, a unit parameter management unit 5 and a stable section management unit 6 are installed in the power grid parameter management module 2, an SVG (scalable vector graphics) management unit 8, a power grid model management unit 9, a telemetering data management unit 10, a data management unit, a data processing unit, a, The intelligent dispatching planning management system comprises a power grid operation real-time display unit 11, a normal operation graph management unit 12 and a power grid operation abnormity monitoring unit 13, wherein an EMS and BPA model management unit 15, a fault set management unit 16, an important user management unit 17, a power grid operation safety check unit 18, a risk evaluation factor management unit 19, a power grid operation risk evaluation unit 20, an intelligent dispatching expert model management unit 21, a power grid operation accident handling scheme unit 22 and a planning self-checking management unit 23 are installed in an intelligent dispatching planning management module 14, and an accident planning management unit 25, a historical planning query unit 26 and an accident planning full-flow visualization unit 27 are installed in an accident planning management module 24.
An intelligent checking method for the running state of a power grid comprises the following steps of firstly, constructing a platform system; managing power grid parameters; step three, checking the running state of the power grid; step four, managing an intelligent scheduling plan; step five, managing accident plan library;
in the first step, a system supporting platform 28 is constructed by depending on basic equipment such as an OSB bus, a data center and the like which are already built in an earlier stage in a power grid and basic application frameworks such as an OCS system, an OMS system, a scheduling operation and network command system and the like, and a power grid parameter management module 2, a power grid operation state intelligent verification module 7, an intelligent scheduling plan management module 14 and an accident plan library management module 24 are distributed and constructed on the system supporting platform 28 to complete platform system framework; in step one, a framework safety zone is integrated on the system support platform 28;
in the second step, the system supporting platform 28 is matched with the power grid parameter management module 2 to work, maintenance management is firstly carried out on basic parameters of the power transmission line regulated and managed by the power grid through the line parameter management unit 3, and the power grid parameters are conducted with the processes of importing, exporting, adding, editing, deleting, inquiring and the like; maintaining and managing basic parameters of a transformer substation regulated and managed by a power grid, a main transformer in the substation and user loads through a main transformer parameter management unit 4; the unit parameter management unit 5 is used for maintaining and managing the power plant information in the power grid range and the basic parameters of the units in the power plant; basic maintenance of stable section data and query statistics of historical sections are performed through a stable section management unit 6; in the second step, the line parameter management unit 3, the main transformer parameter management unit 4, the unit parameter management unit 5 and the stable section management unit 6 can perform addition, editing, deletion, query, EXCEL export and statistical analysis of power grid data when running;
in the third step, the system supporting platform 28 is matched with the power grid running state intelligent verification module 7 to work, the SVG graphic management unit 8 is integrated with the power grid OCS/EMS system to periodically acquire SVG graphic files from the power grid security I area, and the bus connection mode type is initialized and managed through manual maintenance and used for completing the modeling relation of buses and lines under different bus connection modes carried by the system; a grid model file, namely a CIM model file, from a power grid security I area is periodically acquired through integration of a power grid model management unit 9 and a power grid OCS/EMS system; through the integration of the telemetering data management unit 10 and the power grid OCS/EMS system, a telemetering data file from a security I area, namely an E-format file, is periodically acquired; acquiring power grid telemetering data in real time through a power grid operation real-time display unit 11, analyzing states of key equipment such as a power grid bus, an incoming and outgoing line switch, a bus tie switch and the like, intelligently reasoning actual layout and internal connection of the power grid bus and a load line thereof on the basis of a power grid network frame model structure, applying an analysis result to an SVG (scalable vector graphics) graphic file automatically maintained by a system, automatically completing modeling of the bus and the line, and generating a power grid operation diagram with a bus graphic primitive as a core node and the line as a tie line; maintaining a power grid operation diagram with a bus primitive as a core node and a line as a tie line in a normal operation state of a power grid through the normal operation graph management unit 12; the power grid operation abnormity monitoring unit 13 intelligently maps and compares the state difference between normal and real-time operation equipment in real time, and meanwhile, the common incentive characteristics of the real-time operation state are combined, so that reminding or warning is pushed in real time according to the abnormal characteristics; in the third step, the frequency is obtained and updated once a day in principle through the SVG graphic files processed by the SVG graphic management unit 8, including the power grid tidal current diagram and the plant station wiring diagram; in the third step, the net rack model file, namely the CIM model file, is updated once a day in principle; in the third step, the net rack model file, namely the CIM model file, is updated once a day in principle; in the third step, the telemetering data file, namely the E-format file, acquires the frequency once every 5 minutes in principle;
in the fourth step, the system supporting platform 28 is matched with the intelligent scheduling plan management module 14 to work to check the operation state of the power grid and simulate the power grid accidents, a multidimensional intelligent scheduling expert model is established, the internal logic relation of the power grid accidents is intelligently analyzed, and the scheduling accident plans are dynamically generated and checked in combination with the power grid safety analysis calculation; the EMS and BPA model management unit 15 is used for realizing the management of the mapping relation between the EMS model and the BPA model in the power flow analysis, providing basic support for the high-level application of the intelligent scheduling plan management module 14 and providing a fault set maintenance management function through the fault set management unit 16; import of the important user table is provided through the important user management unit 17; the power grid operation safety check unit 18 firstly designates a fault set and a similar day, the system acquires a corresponding CIM file according to input (designates a similar day), an EMS model-to-BPA model conversion program is started, a BPA model file is generated, simulation analysis of the power system is executed, and a ground state power flow analysis result is returned; integrating expected fault sets, generating an accident simulation model, triggering backup power automatic switching strategy simulation and stability control strategy simulation, counting lost sites and loads, important users and loss output by adopting extensive search, carrying out risk assessment, calculating accident event grade, carrying out fault state trend analysis and judging out-of-limit information; the values of various factors needed for risk assessment are maintained through a risk assessment factor management unit 19; evaluating the power grid operation risk caused by the maintenance plan or the specified fault according to the requirement by the power grid operation risk evaluation unit 20, quantitatively evaluating the power grid operation risk, determining the grade division of the risk influence and the risk probability, and judging the quantitative grade of the risk influence and the risk probability; the intelligent scheduling expert model management unit 21 is used for maintaining an intelligent scheduling expert model library and providing decision suggestions for a power grid operation accident handling scheme; the grid structure with the power grid operation risk in the risk assessment is realized through the work of the power grid operation accident disposal scheme unit 22, and a corresponding power grid operation accident disposal plan is generated by combining an intelligent scheduling expert model; the accident plan self-checking based on the current or future state is realized through the work of the plan self-checking management unit 23; when the structure of the power grid changes, the system automatically checks the effective plan set through manual or periodic setting, and automatically prompts and alarms when unreasonable results are found; in the fourth step, the EMS and BPA model management unit 15, the fault set management unit 16 and the important user management unit 17 can perform adding, editing and deleting operations on file information during operation, and the file format is an excel file;
in the fifth step, the system supporting platform 28 is matched with the accident plan library management module 24 to work to realize the management of the dispatching accident plan, and under the support of a graphical frame and an electrical topology analysis algorithm provided by the basic platform, under the guidance of an emergency general scheme of the electric power safety accident; the accident plan management unit 25 works to realize the flow management of automatic generation, manual adjustment, audit approval, release and the like of the scheduling accident plan; the process supervision and the assessment of the accident plan are realized; the historical plan query unit 26 works to realize the instant retrieval of the historical plan, the system reads the fault element in the EMS system, automatically retrieves the accident plan under the fault condition, and assists the personnel in regulation and control in making an accident treatment decision; the whole-process analysis result of the accident plan is visually displayed through the whole-process visualization unit 27 of the accident plan; and step five, the information visually displayed in the whole process of the accident plan comprises the analysis result of each step of the system, such as a pre-operation mode analysis process, a post-operation mode and result, an accident treatment suggestion and reason, accident influence evaluation and the like.
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.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The intelligent power grid operation state checking platform comprises a power grid operation checking platform main body (1), a power grid parameter management module (2), a line parameter management unit (3), a main transformer parameter management unit (4), a unit parameter management unit (5), a stable section management unit (6), a power grid operation state intelligent checking module (7), an SVG (scalable vector graphics) management unit (8), a power grid model management unit (9), a telemetering data management unit (10), a power grid operation real-time display unit (11), a normal operation graph management unit (12), a power grid operation abnormity monitoring unit (13), an intelligent scheduling plan management module (14), an EMS (energy management system) and BPA (business process analysis) model management unit (15), a fault collection management unit (16), an important user management unit (17), a power grid operation safety checking unit (18), a risk assessment factor management unit (19), The system comprises a power grid operation risk evaluation unit (20), an intelligent scheduling expert model management unit (21), a power grid operation accident disposal scheme unit (22), a plan self-checking management unit (23), an accident plan library management module (24), an accident plan management unit (25), a historical plan query unit (26), an accident plan full-flow visualization unit (27) and a system supporting platform (28), and is characterized in that: install system support platform (28) in electric wire netting operation check platform main part (1), install electric wire netting parameter management module (2), electric wire netting operating condition intelligence check-up module (7), intelligent scheduling scheme management module (14) and accident scheme management module (24) in electric wire netting operation check-up platform main part (1), install circuit parameter management unit (3), main change parameter management unit (4), unit parameter management unit (5) and stable section management unit (6) in electric wire netting parameter management module (2), install SVG figure management unit (8), electric wire netting model management unit (9), telemetering data management unit (10), electric wire netting operation real-time display unit (11), normal operating figure management unit (12) and electric wire netting operation anomaly monitoring unit (13) in electric wire netting operating condition intelligence check-up module (7), an EMS and BPA model management unit (15), a fault collection management unit (16), an important user management unit (17), a power grid operation safety check unit (18), a risk evaluation factor management unit (19), a power grid operation risk evaluation unit (20), an intelligent scheduling expert model management unit (21), a power grid operation accident disposal scheme unit (22) and a plan self-checking management unit (23) are installed in the intelligent scheduling plan management module (14), and an accident plan management unit (25), a historical plan query unit (26) and an accident plan full-flow visualization unit (27) are installed in the accident plan management module (24).
2. An intelligent checking method for the running state of a power grid, which is suitable for the intelligent checking platform for the running state of the power grid as claimed in claim 1, is characterized in that: the method comprises the following steps of firstly, constructing a platform system; managing power grid parameters; step three, checking the running state of the power grid; step four, managing an intelligent scheduling plan; step five, managing accident plan library; the method is characterized in that:
in the first step, a system supporting platform (28) is constructed by relying on an OSB (open service bus), data center basic equipment, an OCS (online charging system), an OMS (operation management system), a scheduling operation and network command system basic application which are already constructed in the power grid in the earlier stage, and a power grid parameter management module (2), a power grid operation state intelligent verification module (7), an intelligent scheduling plan management module (14) and an accident plan management module (24) are distributed and constructed on the system supporting platform (28), so that the platform system framework is completed;
in the second step, the system supporting platform (28) is matched with the power grid parameter management module (2) to work, maintenance management is firstly carried out on basic parameters of the power transmission line regulated and managed by the power grid through the line parameter management unit (3), and import and export of the power grid parameters, addition, editing, deletion and query processing of data are carried out on the power grid parameters; maintaining and managing basic parameters of a transformer substation regulated and managed by a power grid, a main transformer in the substation and user loads through a main transformer parameter management unit (4); the unit parameter management unit (5) is used for maintaining and managing the power plant information in the power grid range and the basic parameters of the units in the power plant; basic maintenance of stable section data and query statistics of historical sections are carried out through a stable section management unit (6);
in the third step, a system supporting platform (28) is matched with a power grid running state intelligent verification module (7) to work, an SVG graphic file from a power grid safety I area is periodically obtained through integration of an SVG graphic management unit (8) and a power grid OCS/EMS system, and bus wiring mode types are initialized and managed through manual maintenance and used for completing the modeling relation of buses and lines under different bus wiring modes carried by the system; a grid model file, namely a CIM model file, from a power grid security I area is periodically acquired through integration of a power grid model management unit (9) and a power grid OCS/EMS system; through integration of a telemetering data management unit (10) and a power grid OCS/EMS system, a telemetering data file from a security I area, namely an E-format file, is periodically acquired; the method comprises the steps that power grid telemetering data are obtained in real time through a power grid operation real-time display unit (11), states of key equipment of a power grid bus, an incoming and outgoing line switch and a bus tie switch are analyzed, actual layout and internal connection of the power grid bus and a load line of the power grid bus are intelligently reasoned on the basis of a power grid network frame model structure, an analysis result is applied to an SVG graphic file automatically maintained by a system, modeling of the bus and the line is automatically completed, and a power grid operation diagram with bus primitives as core nodes and the line as a tie line is generated; maintaining a power grid operation diagram with a bus primitive as a core node and a line as a tie line in a normal operation state of a power grid through a normal operation graph management unit (12); the power grid operation abnormity monitoring unit (13) intelligently maps and compares the state difference between normal operation equipment and real-time operation equipment in real time, and meanwhile, the common incentive characteristics of the real-time operation state are combined, so that reminding or warning is pushed in real time according to the abnormal characteristics;
in the fourth step, the system supporting platform (28) is matched with the intelligent scheduling plan management module (14) to work for checking the running state of the power grid and simulating the power grid accidents, a multi-dimensional intelligent scheduling expert model is established, the inherent logic relation of the power grid accidents is intelligently analyzed, and the scheduling accident plans are dynamically generated and checked in combination with the power grid safety analysis calculation; the management of the mapping relation between an EMS model and a BPA model in power flow analysis is realized through an EMS and BPA model management unit (15), basic support is provided for high-level application of an intelligent scheduling plan management module (14), and a fault set maintenance management function is provided through a fault set management unit (16); import of the important user table is provided through an important user management unit (17); the power grid operation safety check unit (18) works to firstly designate a fault set and a similar day, the system acquires a corresponding CIM file according to the input designated similar day, an EMS model-BPA model conversion program is started, a BPA model file is generated, the simulation analysis of the power system is executed, and a ground state power flow analysis result is returned; integrating expected fault sets, generating an accident simulation model, triggering backup power automatic switching strategy simulation and stability control strategy simulation, counting lost sites and loads, important users and loss output by adopting extensive search, carrying out risk assessment, calculating accident event grade, carrying out fault state trend analysis and judging out-of-limit information; the values of various factors needed for risk assessment are maintained through a risk assessment factor management unit (19); evaluating the power grid operation risk caused by the maintenance plan or the specified fault according to the requirement by a power grid operation risk evaluation unit (20), quantitatively evaluating the power grid operation risk, determining the grade division of the risk influence and the risk probability, and judging the quantitative grade of the risk influence and the risk probability; the intelligent scheduling expert model management unit (21) works to maintain an intelligent scheduling expert model base and provides decision suggestions for a power grid operation accident handling scheme; the grid structure with the power grid operation risk in the risk assessment is realized through the work of the power grid operation accident handling scheme unit (22), and a corresponding power grid operation accident handling plan is generated by combining an intelligent scheduling expert model; the accident plan self-checking based on the current or future state is realized through the work of the plan self-checking management unit (23); when the structure of the power grid changes, the system automatically checks the effective plan set through manual or periodic setting, and automatically prompts and alarms when unreasonable results are found;
in the fifth step, the dispatching accident plan is managed by the system supporting platform (28) in cooperation with the accident plan management module (24), and under the support of a graphical frame and an electrical topology analysis algorithm provided by the basic platform and the guidance of an emergency general scheme of the electric power safety accident; the accident plan management unit (25) works to realize automatic generation, manual adjustment, audit approval and release process management of the scheduling accident plan; the process supervision and the assessment of the accident plan are realized; the real-time retrieval of the historical plan is realized through the work of a historical plan query unit (26), a system reads a fault element in an EMS system, the accident plan under the fault condition is automatically retrieved, and the accident treatment decision of a regulator is assisted; the whole-process analysis result of the accident plan is visually displayed through the work of the accident plan whole-process visualization unit (27).
3. The intelligent checking method for the operating state of the power grid as claimed in claim 2, wherein: in the first step, a framework security zone is integrated on a system support platform (28).
4. The intelligent checking method for the operating state of the power grid as claimed in claim 2, wherein: and in the second step, the line parameter management unit (3), the main transformer parameter management unit (4), the unit parameter management unit (5) and the stable section management unit (6) can perform addition, edition, deletion, query, EXCEL export and statistical analysis on the power grid data during operation.
5. The intelligent checking method for the operating state of the power grid as claimed in claim 2, wherein: in the third step, the SVG graphic files processed by the SVG graphic management unit (8) comprise a power grid tidal current diagram and a station wiring diagram, and the acquisition frequency is updated once a day in principle.
6. The intelligent checking method for the operating state of the power grid as claimed in claim 2, wherein: in the third step, the net rack model file, i.e. the CIM model file, is updated once a day in principle.
7. The intelligent checking method for the operating state of the power grid as claimed in claim 2, wherein: in the third step, the telemetering data file, namely the E-format file, is acquired once every 5 minutes in principle.
8. The intelligent checking method for the operating state of the power grid as claimed in claim 2, wherein: in the fourth step, the EMS and BPA model management unit (15), the fault collection management unit (16) and the important user management unit (17) can perform adding, editing and deleting operations on file information during operation, and the file format is an excel file.
9. The intelligent checking method for the operating state of the power grid as claimed in claim 2, wherein: and fifthly, the information visually displayed in the whole process of the accident plan comprises a pre-operation mode analysis process, a post-operation mode and results, accident treatment suggestions and reasons and analysis results of each step of the accident influence evaluation system.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111626483A (en) * | 2020-05-09 | 2020-09-04 | 国网上海市电力公司 | Accident processing flow management and optimization system |
| CN112418459A (en) * | 2020-12-07 | 2021-02-26 | 国网宁夏电力有限公司电力科学研究院 | Power grid maintenance operation mode risk checking experience management method and system |
| CN114123192A (en) * | 2021-11-30 | 2022-03-01 | 广东电网有限责任公司 | Method, system, equipment and medium for checking operation state of power grid station bus |
| CN114362363A (en) * | 2021-12-21 | 2022-04-15 | 南方电网海南数字电网研究院有限公司 | Integrated intelligent management and monitoring system for power grid operation |
| CN117453749A (en) * | 2023-12-21 | 2024-01-26 | 西安捷成优禾智能科技有限公司 | Parameter matching method of intelligent platform architecture |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111626483A (en) * | 2020-05-09 | 2020-09-04 | 国网上海市电力公司 | Accident processing flow management and optimization system |
| CN112418459A (en) * | 2020-12-07 | 2021-02-26 | 国网宁夏电力有限公司电力科学研究院 | Power grid maintenance operation mode risk checking experience management method and system |
| CN114123192A (en) * | 2021-11-30 | 2022-03-01 | 广东电网有限责任公司 | Method, system, equipment and medium for checking operation state of power grid station bus |
| CN114362363A (en) * | 2021-12-21 | 2022-04-15 | 南方电网海南数字电网研究院有限公司 | Integrated intelligent management and monitoring system for power grid operation |
| CN117453749A (en) * | 2023-12-21 | 2024-01-26 | 西安捷成优禾智能科技有限公司 | Parameter matching method of intelligent platform architecture |
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