CN110826916A - Incremental power distribution network regulation and control and display system - Google Patents
Incremental power distribution network regulation and control and display system Download PDFInfo
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Abstract
The invention discloses an incremental power distribution network regulation and display system, which comprises: the intelligent power distribution system comprises an incremental power distribution network big data center module, an accident intelligent processing module, an all-weather load intelligent prediction module, an external power supply monitoring module, an overhaul intelligent management module, a load rate monitoring module, a comprehensive data platform module, a peak-load shifting power utilization module and a big user management and control module. By implementing the method, the operation information is vividly and vividly displayed, the classification management of the real-time data of the incremental distribution network is provided for power grid dispatching personnel, data which has great influence on the operation of the power grid is excavated and vividly expressed, the weak links of the system are displayed, and the early warning and the control on potential safety problems are realized.
Description
Technical Field
The invention belongs to the field of power management, and relates to an incremental power distribution network regulation and display system.
Background
The incremental power distribution network is an independent operation main body, and has independent control authority on lines and users in the network, but the incremental power distribution network cannot be completely independent of isolated network operation of a large power grid, and needs full support of the large power grid, so that certain impact can be generated on the large power grid when the load of the incremental power distribution network is increased and reduced in the operation process. Meanwhile, after distributed energy access or power plant access is added to the incremental power distribution network, impact is further increased, and the influence on the power flow of the system is further increased.
The power dispatching is an effective management means which is adopted for ensuring safe and stable operation of a power grid, reliable external power supply and orderly operation of various power production works. The specific work content is data information fed back by various information acquisition equipment or information provided by monitoring personnel, the actual operation parameters of the power grid, such as voltage, current, frequency, load and the like, are combined, the development conditions of various production works are comprehensively considered, the safe and economic operation states of the power grid are judged, an operation instruction is issued through a telephone or an automatic system, and field operators or an automatic control system are instructed to adjust, so that the continuous safe and stable operation of the power grid is ensured. At present, the specific work of power dispatching is to collect, analyze and display the system such as a comprehensive data platform through a power grid dispatching system SCADA (supervisory control and data acquisition), namely OPEN3000, a distribution network dispatching operation management system and a power grid operation management system, namely an OMS (operation management system), a power grid information system, namely a 4A system, and the like, and the problems of complex data circulation, various interfaces, high failure rate, lower cooperative work efficiency and the like exist.
Disclosure of Invention
The technical problem to be solved by the embodiment of the invention is to provide an incremental power distribution network regulation and display system, and solve the technical problems of complex data flow, multiple interfaces, high failure rate and low cooperative work efficiency.
In one aspect of the present invention, an incremental power distribution network regulation and display system is provided, which includes:
the accident processing module is used for counting and analyzing the historical accident log of the system, sorting accident reasons and processing measures and providing a preprocessing scheme;
the load prediction module is used for predicting the load data of the power grid according to the running state of the power grid;
the external power supply monitoring module is used for providing the integrated or distributed energy grid-connected installed capacity and the generated energy and finishing the work of monitoring, predicting, grid-connected detecting and scheduling operation of the external power supply;
the maintenance management module is used for displaying and inquiring classification of scheduled maintenance conditions, power failure maintenance information and first-aid repair information and analyzing different dimensions of the maintenance conditions, wherein the scheduled maintenance conditions comprise scheduled power failure maintenance conditions and scheduled electrified maintenance conditions;
the load rate monitoring module is used for inquiring and displaying the load rate information of the equipment and providing an optimal control scheme of the load rate;
the comprehensive data platform module is used for collecting data of the accident intelligent processing module, the all-weather load intelligent prediction module, the external power supply monitoring module, the overhaul intelligent management module, the load rate monitoring module, the peak load shifting power utilization module and the large user management and control module, performing data sorting and displaying, and establishing an incremental distribution network integrated graphic model and a comprehensive three-dimensional data model according to the data;
and the peak-staggering power utilization module is used for predicting a power grid load gap according to the load demand, the grid supply index and the local power plant output arrangement and sending out a corresponding early warning signal.
The system further comprises a big data center module which is used for analyzing the data arranged by the comprehensive data platform module, checking the abnormality of each module and providing the setting items for upgrading and modifying the system;
and the large user management and control module is used for inquiring and displaying the configuration conditions of the equipment wiring mode, the spare power automatic switching device, the spare power generator and the emergency equipment of the large user.
Furthermore, the accident processing module counts and analyzes the historical power grid accident data, provides an accident processing suggestion for a dispatcher, and analyzes the power grid accident defect data by importing the power grid data and the dispatching log information in real time, and provides real-time accident information and processing progress for the dispatcher.
Further, the historical power grid accident data analyzed by the accident handling module is specifically data of protection action conditions, accident reason data and data of dispatcher handling methods; the power grid accident defect data analyzed by the accident processing module are power grid power failure equipment, spare power automatic switching action conditions, protection action sequences, distribution network automation system action conditions and power restoration conditions of accident defect processing.
Further, the peak-shifting power utilization module predicts a power grid load gap in real time according to the load demand of the next day, a power grid supply index issued by superior scheduling and the output arrangement of a local power plant, pre-sends a corresponding peak-shifting early warning signal, and sends the signal to a market marketing part and directly belonging power supply offices through the system.
Furthermore, the load prediction module predicts load data of a certain or certain specific time according to the operating characteristic data of the power grid, the environmental data, the economic data of the area, the peripheral social activity data of the position, the hydrological meteorological data and the social influence data.
Further, the load data comprises maximum load power, a load curve and load electric quantity, and the load data is divided into year, month, week and day according to different predicted time periods.
Further, the different dimensions of the maintenance condition analyzed by the maintenance management module specifically include the maintenance type, the maintenance equipment, the working time and the working state of the maintenance condition.
Further, the specific process of the load rate monitoring module for inquiring and displaying the equipment load rate information and providing the optimal load rate control scheme is that the main transformer and feeder line load rate information is inquired, and the load rate information is displayed according to the difference of the equipment voltage grade, the equipment reloading times, the equipment reloading time or the equipment reloading degree; and selecting an optimal control scheme of the load rate by introducing equipment loads of all nodes of the line, wiring modes of all lines and a distribution network automatic switch state.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides an incremental power distribution network regulation and display system which can vividly and visually display operation information, provide classification management of real-time data of an incremental power distribution network for power grid dispatching personnel, dig out data which have great influence on power grid operation, visually express, display weak links of the system and realize early warning and control on potential safety problems.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is within the scope of the present invention for those skilled in the art to obtain other drawings based on the drawings without inventive exercise.
Fig. 1 is a schematic diagram of an architecture of an incremental power distribution network regulation and display system provided by the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, a schematic architecture diagram of an embodiment of an incremental distribution network regulation and display system provided by the present invention is shown, in this embodiment, the system includes:
the accident processing module is used for counting and analyzing the historical accident log of the system, sorting accident reasons and processing measures and providing a preprocessing scheme;
in a specific embodiment, the accident handling module counts and analyzes the historical power grid accident data, provides accident handling suggestions for a dispatcher, analyzes the power grid accident defect data by importing the power grid data and dispatching log information in real time, and provides real-time accident information and handling progress for the dispatcher, so that the dispatcher can know the accident overall view and the handling progress conveniently.
Specifically, the historical power grid accident data analyzed by the accident handling module is specifically data of protection action conditions, accident reason data and data of dispatcher handling methods; the power grid accident defect data analyzed by the accident processing module are power grid power failure equipment, spare power automatic switching action conditions, protection action sequences, distribution network automation system action conditions and power restoration conditions of accident defect processing.
The load prediction module is used for predicting the load data of the power grid according to the running state of the power grid;
in a specific embodiment, the load prediction module predicts the load data of a certain or certain specific time according to the operating characteristic data of the power grid, the environmental data, the economic data of the region, the peripheral social activity data of the position, the hydrological meteorological data and the social influence data.
Specifically, the load data includes maximum load power, a load curve and load electric quantity, and the load data is divided into year, month, week and day according to different predicted time periods.
The external power supply monitoring module is used for providing the integrated or distributed energy grid-connected installed capacity and the generated energy and finishing the work of monitoring, predicting, grid-connected detecting and scheduling operation of the external power supply;
the maintenance management module is used for displaying and inquiring classification of scheduled maintenance conditions, power failure maintenance information and first-aid repair information and analyzing different dimensions of the maintenance conditions, wherein the scheduled maintenance conditions comprise scheduled power failure maintenance conditions and scheduled electrified maintenance conditions;
in a specific embodiment, the different dimensions of the service condition analyzed by the service management module specifically include, but are not limited to, a service type, service equipment, operating time, and operating state of the service condition.
The load rate monitoring module is used for inquiring and displaying the load rate information of the equipment and providing an optimal control scheme of the load rate;
in a specific embodiment, the process of querying and displaying the equipment load rate information and providing the optimal load rate control scheme by the load rate monitoring module is specifically to query the load rate information of a main transformer and a feeder line, and display the load rate information according to different equipment voltage levels, equipment reloading times, equipment reloading time or equipment reloading degrees; and selecting an optimal control scheme of the load rate by introducing equipment loads of all nodes of the line, wiring modes of all lines and a distribution network automatic switch state.
The comprehensive data platform module is used for collecting data of the accident intelligent processing module, the all-weather load intelligent prediction module, the external power supply monitoring module, the overhaul intelligent management module, the load rate monitoring module, the peak load shifting power utilization module and the large user management and control module, sorting and displaying the data, establishing an increment power distribution network integrated graphic model and a comprehensive three-dimensional data model according to the data and realizing data extraction and integration among different systems;
the peak-staggering power utilization module is used for predicting a power grid load gap according to the load demand, the grid supply index and the local power plant output arrangement and sending out a corresponding early warning signal;
in a specific embodiment, the peak-shifting power utilization module predicts a power grid load gap in real time according to the load demand of the next day, a power grid supply index issued by superior scheduling and the output arrangement of a local power plant, and pre-sends corresponding peak-shifting early warning signals to a market marketing part and directly belonging power supply offices through the system.
The system also comprises a big data center module which is used for analyzing the data arranged by the comprehensive data platform module, checking the abnormality of each module, providing the setting items for upgrading and modifying the system, mining the problems of the system, promoting the improvement and the upgrading of the system, accepting the optimization suggestion, increasing the system function, proposing the function requirement and promoting the self-updating of the system;
and the large user management and control module is used for inquiring and displaying the configuration conditions of the equipment wiring mode, the spare power automatic switching device, the spare power generator and the emergency equipment of the large user.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides an incremental power distribution network regulation and display system which can vividly and visually display operation information, provide classification management of real-time data of an incremental power distribution network for power grid dispatching personnel, dig out data which have great influence on power grid operation, visually express, display weak links of the system and realize early warning and control on potential safety problems.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (9)
1. The utility model provides an increment distribution network regulation and display system which characterized in that, this system includes:
the accident processing module is used for counting and analyzing the historical accident log of the system, sorting accident reasons and processing measures and providing a preprocessing scheme;
the load prediction module is used for predicting the load data of the power grid according to the running state of the power grid;
the external power supply monitoring module is used for providing the integrated or distributed energy grid-connected installed capacity and the generated energy and finishing the work of monitoring, predicting, grid-connected detecting and scheduling operation of the external power supply;
the maintenance management module is used for displaying and inquiring classification of scheduled maintenance conditions, power failure maintenance information and first-aid repair information and analyzing different dimensions of the maintenance conditions, wherein the scheduled maintenance conditions comprise scheduled power failure maintenance conditions and scheduled electrified maintenance conditions;
the load rate monitoring module is used for inquiring and displaying the load rate information of the equipment and providing an optimal control scheme of the load rate;
the comprehensive data platform module is used for collecting data of the accident intelligent processing module, the all-weather load intelligent prediction module, the external power supply monitoring module, the overhaul intelligent management module, the load rate monitoring module, the peak load shifting power utilization module and the large user management and control module, performing data sorting and displaying, and establishing an incremental distribution network integrated graphic model and a comprehensive three-dimensional data model according to the data;
and the peak-staggering power utilization module is used for predicting a power grid load gap according to the load demand, the grid supply index and the local power plant output arrangement and sending out a corresponding early warning signal.
2. The system of claim 1, further comprising:
the big data center module is used for analyzing the data arranged by the comprehensive data platform module, checking the abnormality of each module and providing setting items for system upgrading and modification;
and the large user management and control module is used for inquiring and displaying the configuration conditions of the equipment wiring mode, the spare power automatic switching device, the spare power generator and the emergency equipment of the large user.
3. The system of claim 2, wherein the fault handling module statistically analyzes historical grid fault data, provides fault handling recommendations to a dispatcher, and analyzes grid fault defect data by importing the grid fault data and dispatch log information in real time, and provides real-time fault information and handling schedules to the dispatcher.
4. The system according to claim 3, wherein the historical grid accident data analyzed by the accident handling module is specifically data of protection action conditions, accident reason data, data of dispatcher handling methods; the power grid accident defect data analyzed by the accident processing module are power grid power failure equipment, spare power automatic switching action conditions, protection action sequences, distribution network automation system action conditions and power restoration conditions of accident defect processing.
5. The system of claim 4, wherein the peak shifting power utilization module predicts a grid load gap in real time according to the load demand of the next day, a grid supply index issued by a superior schedule and the output arrangement of a local power plant, and pre-sends a corresponding peak shifting early warning signal to a market marketing part and directly-owned power supply offices through the system.
6. The system of claim 5, wherein the load prediction module predicts the load data at a specific time or times based on the operational characteristic data of the power grid, the environmental data, the economic data of the local area, the surrounding social activity data of the local area, the hydrometeorological data, and the social impact data.
7. The system of claim 6, wherein the load data includes maximum load power, load curve and load capacity, and the load data is divided into year, month, week and day according to the predicted time period.
8. The system of claim 7, wherein the service management module analyzes different dimensions of the service condition, specifically, a service type, service equipment, operating time, and operating state of the service condition.
9. The system of claim 8, wherein the load factor monitoring module queries and displays the load factor information of the equipment and provides the optimal control scheme for the load factor by querying the load factor information of the main transformer and the feeder line, and displaying the load factor information according to the difference of the voltage level of the equipment, the times of the heavy load of the equipment, the time of the heavy load of the equipment or the degree of the heavy load of the equipment; and selecting an optimal control scheme of the load rate by introducing equipment loads of all nodes of the line, wiring modes of all lines and a distribution network automatic switch state.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112184483A (en) * | 2020-09-29 | 2021-01-05 | 国网北京市电力公司 | Scheduling work display system based on OMS and computer equipment |
| CN116596512A (en) * | 2023-05-22 | 2023-08-15 | 湖北华中电力科技开发有限责任公司 | Electric power operation and maintenance safety strengthening method and system based on information system |
| CN116739831A (en) * | 2023-08-16 | 2023-09-12 | 深圳江行联加智能科技有限公司 | Electric energy scheduling method, device and equipment of virtual power plant and storage medium |
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| CN106096850A (en) * | 2016-06-20 | 2016-11-09 | 国网上海市电力公司 | A kind of power network dispatching system based on situation perception |
| CN109978295A (en) * | 2017-12-28 | 2019-07-05 | 南京易司拓电力科技股份有限公司 | A kind of lean decision system of data-driven power distribution network |
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| CN106096850A (en) * | 2016-06-20 | 2016-11-09 | 国网上海市电力公司 | A kind of power network dispatching system based on situation perception |
| CN109978295A (en) * | 2017-12-28 | 2019-07-05 | 南京易司拓电力科技股份有限公司 | A kind of lean decision system of data-driven power distribution network |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112184483A (en) * | 2020-09-29 | 2021-01-05 | 国网北京市电力公司 | Scheduling work display system based on OMS and computer equipment |
| CN116596512A (en) * | 2023-05-22 | 2023-08-15 | 湖北华中电力科技开发有限责任公司 | Electric power operation and maintenance safety strengthening method and system based on information system |
| CN116596512B (en) * | 2023-05-22 | 2024-05-10 | 湖北华中电力科技开发有限责任公司 | Electric power operation and maintenance safety strengthening method and system based on information system |
| CN116739831A (en) * | 2023-08-16 | 2023-09-12 | 深圳江行联加智能科技有限公司 | Electric energy scheduling method, device and equipment of virtual power plant and storage medium |
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