CN110826916B - 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 control and display system, which comprises: the system comprises an increment 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-shifting power utilization module and a big user management and control module. By implementing the method, the running information is vividly displayed, the classified management of the real-time data of the incremental power distribution network is provided for power grid dispatching personnel, the data which has great influence on the running of the power grid is mined, the vivid expression is carried out, the weak links of the system are displayed, and the early warning and the control of 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 control and display system.
Background
The incremental power distribution network is an independent operation main body and has independent control authority for lines and users in the network, but the incremental power distribution network cannot be completely independent of isolated network operation of a large power network and needs full-power support of the large power network, so that certain impact can be generated on the large power network due to the increase and decrease of the load of the incremental power distribution network in the operation process. Meanwhile, after the distributed energy access or the power plant access is added in the incremental power distribution network, the impact is further increased, and the tide influence on the system is further increased.
The power dispatching is an effective management means for ensuring safe and stable operation of the power grid, external reliable power supply and orderly execution of various power production works. The specific working content is that according to the data information fed back by various information acquisition devices or the 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, and an operation instruction is issued through a telephone or an automatic system to command on-site operators or an automatic control system to adjust, so that the continuous safe and stable operation of the power grid is ensured. The specific work of the current power dispatching is to collect, analyze and display the power dispatching system SCADA, namely OPEN3000, the distribution network dispatching operation management system and the power network operation management system, namely OMS, the power network information system, namely 4A system and the comprehensive data platform and other systems, so that the problems of complex data circulation, multiple interfaces, high fault rate, lower cooperative work efficiency and the like exist.
Disclosure of Invention
The technical problems to be solved by the embodiment of the invention are to provide an incremental power distribution network regulation and display system, which solves the technical problems of complex data flow, multiple interfaces, high failure rate and lower cooperative work efficiency.
In one aspect of the present invention, there is provided an incremental power distribution network regulation and display system, comprising:
the accident processing module is used for statistically 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 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 centralized or distributed energy grid-connected installed capacity and the generated energy and completing the work of monitoring, predicting, grid-connected detection and scheduling operation of the external power supply;
the maintenance management module is used for displaying and inquiring the planned maintenance conditions, the power failure maintenance information and the classification of the rush-repair information, and analyzing different dimensionalities of the maintenance conditions at the same time, wherein the planned maintenance conditions comprise the planned power failure maintenance conditions and the planned live maintenance conditions;
the load rate monitoring module is used for inquiring and displaying the equipment load rate information 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 shifting power utilization module and the large user management and control module, performing data arrangement and display, and establishing an incremental power distribution network integrated graphic model and a comprehensive three-dimensional data model according to the data;
and the peak shifting power utilization module is used for predicting a power grid load gap according to the load demand, the network supply index and the local power plant output arrangement and sending out a corresponding early warning signal.
Further, 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 existing in 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 equipment wiring modes, spare power automatic switching, self-provided generators and emergency equipment of large users.
Further, the accident handling module is used for statistically analyzing the annual power grid accident data, providing accident handling advice for a dispatcher, analyzing power grid accident defect data by importing the power grid data and the dispatching log information in real time, and providing real-time accident information and handling progress for the dispatcher.
Further, the accident handling module analyzes the annual power grid accident data specifically to protect the data of the action condition, the accident reason data and the data of a dispatcher handling method; the power grid accident defect data analyzed by the accident handling module are specifically power grid power failure equipment, spare power automatic switching action conditions, protection action sequences, action conditions of a distribution network automation system and power recovery conditions of accident defect handling.
Furthermore, the peak-shifting power utilization module predicts a power grid load gap in real time according to load demands of the next day, network supply indexes delivered by superior scheduling and local power plant output arrangement, and pre-sends corresponding peak-shifting early warning signals to marketing departments and power supply departments directly.
Further, the load prediction module predicts the load data of a certain or a certain specific time according to the operation characteristic data, the located environment data, the located regional economy data, the located peripheral social activity data, the hydrological weather data and the social influence data of the power grid.
Further, the load data includes maximum load power, load curve and load electric quantity, and the load data is divided into year, month, week and day according to the predicted time period.
Further, the overhaul management module analyzes different dimensions of the overhaul conditions, namely, overhaul types, overhaul equipment, working time and working states of the overhaul conditions.
Further, the specific process of the load rate monitoring module inquiring and displaying the equipment load rate information and providing the optimal control scheme of the load rate is that the load rate information is displayed according to the difference of equipment voltage grade, equipment reloading times, equipment reloading time or equipment reloading degree by inquiring the main transformer and feeder line load rate information; and selecting an optimal control scheme of the load rate through leading in the loads of the node equipment of the lines and the wiring modes of the lines and the automatic switching state of the distribution network.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides an incremental power distribution network regulation and control and display system, which can vividly display operation information, provide classified management of real-time data of an incremental power distribution network for power grid dispatching personnel, mine data with great influence on power grid operation, perform visual expression, display weak links of a system and realize early warning and control of potential safety problems.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are required in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that it is within the scope of the invention to one skilled in the art to obtain other drawings from these drawings without inventive faculty.
Fig. 1 is a schematic diagram of an incremental power distribution network control and display system according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings, for the purpose of making the objects, technical solutions and advantages of the present invention more apparent.
Referring to fig. 1, a schematic architecture diagram of an embodiment of an incremental power distribution network regulation and display system provided by the present invention is shown, where in this embodiment, the system includes:
the accident processing module is used for statistically 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 performs statistical analysis on the annual power grid accident data, provides accident handling advice for a dispatcher, analyzes the power grid accident defect data by importing the power grid data and the dispatching log information in real time, provides real-time accident information and handling progress for the dispatcher, and facilitates the dispatcher to know the whole appearance of the accident and the handling progress.
The accident handling module analyzes the data of the power grid accident of the past year, namely the data of the protection action condition, the accident reason data and the data of a dispatcher handling method; the power grid accident defect data analyzed by the accident handling module are specifically power grid power failure equipment, spare power automatic switching action conditions, protection action sequences, action conditions of a distribution network automation system and power recovery conditions of accident defect handling.
The load prediction module is used for predicting 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 a certain specific time according to the operation characteristic data, the environmental data, the regional economic data, the peripheral social activity data, the hydrological data and the social influence data of the position of the power grid.
Specifically, the load data includes maximum load power, load curve and load electric quantity, and the predicted time period is divided into year, month, week and day load data.
The external power supply monitoring module is used for providing the centralized or distributed energy grid-connected installed capacity and the generated energy and completing the work of monitoring, predicting, grid-connected detection and scheduling operation of the external power supply;
the maintenance management module is used for displaying and inquiring the planned maintenance conditions, the power failure maintenance information and the classification of the rush-repair information, and analyzing different dimensionalities of the maintenance conditions at the same time, wherein the planned maintenance conditions comprise the planned power failure maintenance conditions and the planned live maintenance conditions;
in a specific embodiment, the overhaul management module analyzes different dimensions of the overhaul conditions, including, but not limited to, overhaul types, overhaul equipment, working hours, and working states of the overhaul conditions.
The load rate monitoring module is used for inquiring and displaying the equipment load rate information and providing an optimal control scheme of the load rate;
in a specific embodiment, the load factor monitoring module queries and displays the equipment load factor information and provides the optimal control scheme of the load factor, and the specific process is that the load factor information is displayed according to different equipment voltage levels, equipment reloading times, equipment reloading time or equipment reloading degree by querying main transformer and feeder line load factor information; and selecting an optimal control scheme of the load rate through leading in the loads of the node equipment of the lines and the wiring modes of the lines and the automatic switching state of the distribution network.
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 shifting power utilization module and the large user management and control module, performing data arrangement and display, establishing an incremental 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 shifting power utilization module is used for predicting a power grid load gap according to load demands, network supply indexes and local power plant output arrangement and sending out corresponding early warning signals;
in a specific embodiment, the peak-shifting power utilization module predicts a power grid load gap in real time according to load demands of the next day, network supply indexes delivered by superior scheduling and local power plant output arrangement, pre-sends corresponding peak-shifting early warning signals, and sends the peak-shifting early warning signals to a marketing department and directly belongs to each power supply department through a 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, excavating the problems of the system, promoting the system to upgrade, admitting optimization suggestions, increasing the system functions, providing functional requirements and promoting the system to update itself;
and the large user management and control module is used for inquiring and displaying the configuration conditions of equipment wiring modes, spare power automatic switching, self-provided generators and emergency equipment of large users.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides an incremental power distribution network regulation and control and display system, which can vividly display operation information, provide classified management of real-time data of an incremental power distribution network for power grid dispatching personnel, mine data with great influence on power grid operation, perform visual expression, display weak links of a system and realize early warning and control of potential safety problems.
The above disclosure is only a preferred embodiment of the present invention, and it is needless to say that the scope of the invention is not limited thereto, and therefore, the equivalent changes according to the claims of the present invention still fall within the scope of the present invention.
Claims (1)
1. An incremental power distribution network regulation and display system, comprising:
the accident processing module is used for statistically analyzing the historical accident log of the system, sorting accident reasons and processing measures and providing a preprocessing scheme; the method comprises the steps of statistically analyzing power grid accident data in the past year, providing accident handling suggestions for a dispatcher, analyzing power grid accident defect data by importing the power grid data and dispatching log information in real time, and providing real-time accident information and handling progress for the dispatcher; the accident handling module analyzes the annual power grid accident data, namely the data of the protection action condition, the accident reason data and the data of a dispatcher handling method; the accident handling module analyzes power grid accident defect data, namely power grid power failure equipment, automatic backup power switching action conditions, protection action sequences, action conditions of a distribution network automation system and re-electricity conditions of accident defect handling;
the load prediction module is used for predicting load data of a certain or a certain specific time according to the operation characteristic data, the located environment data, the located regional economy data, the surrounding social activity data of the located position, the hydrological data and the social influence data of the power grid; 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;
the external power supply monitoring module is used for providing the centralized or distributed energy grid-connected installed capacity and the generated energy and completing the work of monitoring, predicting, grid-connected detection and scheduling operation of the external power supply;
the maintenance management module is used for displaying and inquiring the classification of scheduled maintenance conditions, power failure maintenance information and emergency maintenance information, and analyzing the maintenance type, maintenance equipment, working time and working state 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 the load rate information of the main transformer and the feeder line, and displaying the load rate information according to the difference of the voltage class of the equipment, the reloading times of the equipment, the reloading time of the equipment or the reloading degree of the equipment; the optimal control scheme of the load rate is selected through leading in the loads of the node equipment of the lines and the wiring modes of the lines and the automatic switching state of the distribution network;
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 shifting power utilization module and the large user management and control module, performing data arrangement and display, and establishing an incremental power distribution network integrated graphic model and a comprehensive three-dimensional data model according to the data;
the peak shifting power utilization module is used for predicting a power grid load gap according to load demands, network supply indexes and local power plant output arrangement and sending out corresponding early warning signals; the method comprises the steps of predicting a power grid load gap in real time according to load demands of the next day, network supply indexes issued by upper-level scheduling and local power plant output arrangement, pre-sending corresponding peak-shifting early warning signals, and sending the peak-shifting early warning signals to a marketing department and directly belonging to each power supply department through a system;
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 a setting item for system upgrade and modification;
and the large user management and control module is used for inquiring and displaying the configuration conditions of equipment wiring modes, spare power automatic switching, self-provided generators and emergency equipment of large users.
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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 |
| CN114254917A (en) * | 2021-12-20 | 2022-03-29 | 深圳供电局有限公司 | Data processing method, system, device and medium based on incremental distribution network |
| 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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| 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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