CN115833402B - Artificial intelligent network command management and issuing system based on power dispatching - Google Patents
Artificial intelligent network command management and issuing system based on power dispatching Download PDFInfo
- Publication number
- CN115833402B CN115833402B CN202310132980.XA CN202310132980A CN115833402B CN 115833402 B CN115833402 B CN 115833402B CN 202310132980 A CN202310132980 A CN 202310132980A CN 115833402 B CN115833402 B CN 115833402B
- Authority
- CN
- China
- Prior art keywords
- power
- supply target
- power station
- module
- consumption
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of data processing, in particular to an artificial intelligent network command management and issuing system based on power dispatching, which comprises the following steps: the control terminal is a main control terminal of the system and is used for sending out control commands; the monitoring module is used for monitoring the real-time electric energy reserve and the power generation energy of the current power station in real time; a capturing module for capturing a transmission path when the power station transmits power to the supply target; a planning module for planning a power usage limit of the power supply target; according to the invention, the comprehensive performance of the power station is analyzed through the actual power reserve and the productivity benefit of the power station in the running process of the system, and the power utilization target of the power supplied by the power station is further configured according to the analysis result, so that the power utilization planning is performed on the power utilization target, the power supply and transmission process of the power station is more stable, the power utilization state of the power utilization target can be effectively captured through the real-time monitoring of the power utilization target, and the power supply and transmission process of the power station is safer.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an artificial intelligent network command management and issuing system based on power dispatching.
Background
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 work content of the power dispatching is that according to data information fed back by various information acquisition devices 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 condition of various production works is comprehensively considered, the safe and economic operation state of the power grid is 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, such as adjusting the output of a generator, adjusting the load distribution, switching capacitors, reactors and the like, so that the continuous safe and stable operation of the power grid is ensured. With the continuous development of technology in recent years, modern monitoring and control means are perfected, and technical support of power dispatching is also becoming strong.
However, the industrial power enterprises of each power consumer have more uncertain factors in the daily power utilization process, and the daily power utilization possibly has a period of huge power consumption at any time, so that the situation can directly impact the power reserve of the power station, and the paralysis of the power system can be caused, thereby affecting other power consumers and industrial power enterprises served by the power station.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides an artificial intelligent network command management and issuing system based on power dispatching, which solves the technical problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
an artificial intelligent network command management and issuing system based on power dispatching, comprising:
the control terminal is a main control terminal of the system and is used for sending out control commands;
the monitoring module is used for monitoring the real-time electric energy reserve and the power generation energy of the current power station in real time;
a capturing module for capturing a transmission path when the power station transmits power to the supply target;
a planning module for planning a power usage limit of the power supply target;
the authentication module is used for acquiring the operation type and the electricity consumption voltage requirement of the power station supply target and analyzing whether the operation type and the electricity consumption voltage requirement of the power station supply target are consistent;
the acquisition module is used for acquiring the real-time electricity consumption of the power supply target;
and the communication module is used for feeding back the operation data of the acquisition module to the power supply target.
Still further, the monitoring module is provided with a sub-module at a lower level, including:
the analysis unit is used for analyzing the current real-time utilization efficiency of the power station supply target;
the judging unit is used for receiving the real-time electric energy reserve and the power generation and production energy of the power station, which are monitored by the monitoring module, and judging whether the power generation and production energy of the power station meets the power supply target power consumption requirement of the power station;
the analysis unit is used for controlling the jump capturing module to operate when the analyzed real-time power consumption efficiency of the power station supply target is the power consumption per hour of the power station supply target, and the judgment unit is used for controlling the jump calculating unit to operate when the judgment result is yes.
Still further, the monitoring module is internally provided with a sub-module comprising:
the calculation unit is used for calculating whether the real-time electric energy reserve and the power generation energy sum value of the power station meet the power supply target power consumption requirement;
when the calculating unit operates, the daily electricity consumption time period of the power station supply target is synchronously acquired, the daily electricity consumption of the power station supply target is calculated according to the electricity consumption per hour, the power generation amount of the power station in the remaining time period except the daily electricity consumption time period of the power station supply target is further calculated, when the judging result of the calculating unit is negative, the power station is controlled to stop power supply, the operating result of the calculating unit is sent to the control terminal, when the judging result of the calculating unit is positive, whether the power generation amount of the power station in the remaining time period of the power station is larger than the real-time electric energy reserve amount of the power station is further judged, and the judging result is that the jump capturing module operates.
Further, the capturing module acquires the power splitting nodes in the transmission path synchronously when capturing the transmission path of the power station for transmitting power to the supply target, and constructs the power transmission topological image according to the position information corresponding to the power splitting nodes, the power station supply target and the power station position information.
Still further, the planning module is provided with a sub-module at a lower level, including:
a setting unit for setting a daily power consumption of a power station supply target;
an evaluation unit configured to evaluate whether the daily electricity consumption of the power station supply target set by the setting unit is safe;
the daily electricity consumption of the power station supply target set by the setting unit is the electricity consumption limit of the power supply target, the daily electricity consumption set by the setting unit is set automatically through the power station supply target end, and the set daily electricity consumption is smaller than the total value of the real-time electricity storage and the daily electricity generation energy of the power station.
Further, when the evaluation unit operates, power information and daily operation time of power station supply target electric equipment are obtained, a daily electricity consumption theoretical value of the power station supply target is calculated according to the power information and daily operation time of the power station supply target, a power transmission loss value is manually input by a user at a system end synchronously, when whether the daily electricity consumption of the power station supply target is safe or not is evaluated by the evaluation unit, a total value of the daily electricity consumption theoretical value and the power transmission loss value of the power station supply target and a total value of real-time electric energy reserve and daily power generation energy of the power station are applied, the total value is respectively compared with the daily electricity consumption of the power station supply target set by the setting unit, the daily electricity consumption of the power station supply target set by the setting unit is between the two groups of total values, the evaluation result of the evaluation unit is safe, and otherwise, the evaluation result of the evaluation unit is unsafe.
Further, when the authentication result of the power station supply target is consistent, the authentication module applies the power station supply target and the power consumption voltage thereof to search a power splitting node farthest from the power station supply target in the power transmission topological image, performs voltage coordination on the transmission power in the searched power splitting node, and controls the power voltage output by the current power splitting node to be consistent with the power consumption voltage requirement authenticated by the authentication module.
Further, after the acquisition module acquires the real-time electricity consumption of the power supply target, synchronously calculating the current electricity consumption of the power supply target per hour, further calculating an electricity consumption average value in units of hours according to the daily electricity consumption of the power station supply target set by the setting unit, and analyzing whether the current electricity consumption of the power supply target per hour is larger than the electricity consumption average value;
the acquisition module manually sets an operation period through a system end user, jumps to the next operation period to operate when the operation analysis result is negative, and triggers the communication module to operate when the analysis result is positive.
Furthermore, the communication module operates to synchronously set data reading timeliness through a user at the system end, after the communication module operates to feed back the operation data of the acquisition module to the power supply target, the communication module synchronously monitors the reading state of the power supply target to the operation data, and after the reading timeliness is finished, the power station is controlled to stop transmitting power to the power supply target in a state that the operation data is not read yet.
Furthermore, the control terminal is electrically connected with a monitoring module through a medium, the lower level of the monitoring module is electrically connected with an analysis unit and a judgment unit through the medium, the inside of the monitoring module is electrically connected with a calculation unit through the medium, the monitoring module is electrically connected with a capturing module and a planning module through the medium, the lower level of the planning module is electrically connected with a setting unit and an evaluation unit through the medium, and the planning module is electrically connected with an authentication module, an acquisition module and a communication module through the medium.
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
the invention provides a command management and issuing system based on an electric power dispatching artificial intelligent network, which analyzes the comprehensive performance of a power station through the actual electric power reserve and the productivity benefit of the power station in the operation process, and further configures an electric power utilization target of electric power supplied by the power station according to an analysis result so as to realize electric power utilization planning on the electric power utilization target, so that the electric power supply and transmission process of the power station is more stable, and the electric power utilization state of the electric power utilization target can be effectively captured through the real-time monitoring of the electric power utilization target, and the electric power supply and transmission process of the power station is safer.
In the running process of the system, through the fine computer management of the power consumption targets in each hour and the power consumption time period, the system can capture the power consumption state of the power consumption targets more accurately, and meanwhile, the power consumption targets are intelligently controlled according to the power consumption state data of the power consumption targets, so that the power consumption of all the power consumption targets served by the power station is more balanced.
In the running process of the system, the processing logic for monitoring and configuring the real-time electricity utilization state of the electricity utilization target can ensure that the normal electricity utilization of the electricity utilization target of other power station services is not influenced when the electricity utilization target of the power station service has an excess electricity utilization problem, so that the influence of the electricity utilization problem on other electricity utilization targets can be reduced to the greatest extent when the electricity utilization problem occurs to the individual electricity utilization target.
Drawings
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 described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic diagram of a power dispatching-based artificial intelligence network command management and issuing system;
reference numerals in the drawings represent respectively: 1. a control terminal; 2. a monitoring module; 21. an analysis unit; 22. a determination unit; 23. a calculation unit; 3. a capture module; 4. a planning module; 41. a setting unit; 42. an evaluation unit; 5. an authentication module; 6. an acquisition module; 7. and a communication module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1:
the system for command management and issuing based on power dispatching artificial intelligence network in this embodiment, as shown in fig. 1, includes:
the control terminal 1 is a main control end of the system and is used for sending out control commands;
the monitoring module 2 is used for monitoring the real-time electric energy reserve and the power generation energy of the current power station in real time;
a capturing module 3 for capturing a transmission path when the power station transmits power to the supply target;
a planning module 4 for planning a power consumption limit of the power supply target;
the authentication module 5 is used for acquiring the operation type and the electricity consumption voltage requirement of the power station supply target and analyzing whether the operation type and the electricity consumption voltage requirement of the power station supply target are consistent;
the acquisition module 6 is used for acquiring the real-time electricity consumption of the power supply target;
and the communication module 7 is used for feeding back the operation data of the acquisition module 6 to the power supply target.
In this embodiment, the control terminal 1 controls the monitoring module 2 to monitor the current real-time electric energy reserve and the power generation energy of the power station in real time, the synchronous capturing module 3 operates and captures the transmission path when the power station transmits power to the supply target, the planning module 4 operates and plans the power consumption limit of the power supply target in a rear-mounted mode, the authentication module 5 acquires the operation type and the power consumption voltage requirement of the power station supply target, analyzes whether the operation type and the power consumption voltage requirement of the power station supply target are consistent, the acquisition module 6 acquires the real-time power consumption of the power supply target in real time, and finally the communication module 7 feeds back the operation data of the acquisition module 6 to the power supply target;
wherein the power station supply target job type refers to a power station supply target electricity voltage.
Example 2:
on the aspect of implementation, on the basis of embodiment 1, this embodiment further specifically describes the power scheduling-based artificial intelligence network command management and issuing system in embodiment 1 with reference to fig. 1:
as shown in fig. 1, the monitoring module 2 is provided with a sub-module at a lower stage, including:
an analysis unit 21 for analyzing the current power station supply target real-time efficiency;
the judging unit 22 is configured to receive the real-time power reserve and the power generation and production energy of the power station monitored by the monitoring module 2, and judge whether the power generation and production energy of the power station meets the power supply target power consumption requirement of the power station;
wherein, the analysis unit 21 controls the jump capturing module 3 to operate when the analyzed power station supply target real-time power consumption is the power consumption per hour of the power station supply target, the judgment unit 22 controls the jump calculating unit 23 to operate when the judgment result is yes, and the judgment unit 22 controls the jump calculating unit 23 to operate when the judgment result is no.
Through the arrangement of the lower sub-modules of the monitoring module 2, the detection module 2 can acquire more data during operation, so that the module operation in the system can provide basic data support.
As shown in fig. 1, the monitoring module 2 is internally provided with a sub-module, which includes:
a calculating unit 23 for calculating whether the real-time electric energy reserve and the total value of the generated energy of the power station meet the target power demand supplied by the power station;
when the calculating unit 23 operates, the daily electricity consumption period of the power station supply target is synchronously acquired, the daily electricity consumption of the power station supply target is calculated according to the daily electricity consumption of the power station supply target, the power generation amount of the power station in the residual period is further calculated, when the result of the judgment of the calculating unit 23 is no, the power station is controlled to stop power supply, the operation result of the calculating unit 23 is sent to the control terminal 1, when the result of the judgment of the calculating unit 23 is yes, whether the power generation amount of the power station in the residual period of the power station is larger than the real-time electric energy reserve amount of the power station is further judged, and the judgment result is that the jump capturing module 3 operates.
By the arrangement of the sub-modules in the monitoring module 2, whether the current power station supply target power demand is suitable for the power supply capacity of the power station can be accurately judged.
As shown in fig. 1, when the capturing module 3 captures a transmission path for transmitting power from the power station to the supply destination, it acquires the power split nodes in the transmission path in synchronization, and constructs a power transmission topology image based on the position information corresponding to the power split nodes, the power station supply destination, and the power station position information.
As shown in fig. 1, the planning module 4 is provided with a sub-module at a lower stage, including:
a setting unit 41 for setting a daily electricity consumption amount of a power station supply target;
an evaluation unit 42 for evaluating whether the daily electricity consumption of the power station supply target set by the setting unit 41 is safe;
the daily electricity consumption of the power station supply target set by the setting unit 41 is the electricity consumption limit of the power supply target, the daily electricity consumption set by the setting unit 41 is set by the power station supply target terminal, and the set daily electricity consumption is smaller than the total value of the real-time electricity reserve and the daily electricity generation energy of the power station.
Through the arrangement of the sub-modules at the lower level of the planning module 4, the power consumption requirement of the power station supply target can be further judged, and the result data obtained by the system operation is more effective and accurate.
As shown in fig. 1, when the evaluation unit 42 is operated, power information and daily operation time of the power station supply target are acquired, a theoretical daily power consumption value of the power station supply target is calculated based on the power information and daily operation time of the power station supply target, and the power transmission loss value is manually input by a user at the system end in synchronization, when the evaluation unit 42 evaluates whether the daily power consumption of the power station supply target is safe or not, the total value of the theoretical daily power consumption value and the power transmission loss value of the power station supply target and the total value of the real-time power reserve and daily power generation capacity of the power station are applied, and are compared with the daily power consumption of the power station supply target set by the setting unit 41, the daily power consumption of the power station supply target set by the setting unit 41 is between the two groups of total values, the evaluation unit 42 evaluates that the result is safe, and otherwise, the evaluation unit 42 evaluates that the result is unsafe.
Example 3:
on the aspect of implementation, on the basis of embodiment 1, this embodiment further specifically describes the power scheduling-based artificial intelligence network command management and issuing system in embodiment 1 with reference to fig. 1:
when the authentication result of the power station supply target is consistent, the authentication module 5 searches a power splitting node farthest from the power station supply target in the power transmission topological image by applying the power station supply target and the power consumption voltage thereof, performs voltage coordination on the transmission power in the searched power splitting node, and controls the power voltage output by the current power splitting node to be consistent with the power consumption voltage requirement authenticated by the authentication module 5.
As shown in fig. 1, after the collection module 6 collects the real-time electricity consumption of the power supply target, it synchronously calculates the current electricity consumption per hour of the power supply target, further calculates the average electricity consumption in units of hours according to the daily electricity consumption of the power station supply target set by the setting unit 41, and analyzes whether the current electricity consumption per hour of the power supply target is greater than the average electricity consumption;
the collecting module 6 manually sets an operation period through a user at the system end, the collecting module 6 jumps to the next operation period to operate when the operation analysis result is no, and the communication module 7 is triggered to operate when the analysis result is yes.
As shown in fig. 1, the communication module 7 operates to set data reading time through a user at the system end, after the communication module 7 operates to feed back the operation data of the acquisition module 6 to the power supply target, the reading state of the operation data by the power supply target is monitored synchronously, and after the reading time is finished, the power station is controlled to stop transmitting power to the power supply target in a state that the operation data is not read yet.
As shown in fig. 1, the control terminal 1 is electrically connected with a monitoring module 2 through a medium, the lower stage of the monitoring module 2 is electrically connected with an analysis unit 21 and a determination unit 22 through the medium, the inside of the monitoring module 2 is electrically connected with a calculation unit 23 through the medium, the monitoring module 2 is electrically connected with a capturing module 3 and a planning module 4 through the medium, the lower stage of the planning module 4 is electrically connected with a setting unit 41 and an evaluation unit 42 through the medium, and the planning module 4 is electrically connected with an authentication module 5, a collection module 6 and a communication module 7 through the medium.
In summary, in the system in the above embodiment, the comprehensive performance of the power station is analyzed by the actual power reserve and productivity benefits of the power station, and the power consumption targets of the power station for supplying power are further configured according to the analysis result, so as to achieve power consumption planning on the power consumption targets, so that the power supply and transmission process of the power station is more stable, and the power consumption states of the power station can be effectively captured by real-time monitoring of the power consumption targets, and the power supply and transmission process of the power station is safer; meanwhile, in the running process of the system, through the fine computer management of the power consumption targets in each hour and the power consumption time period, the system can capture the power consumption state of the power consumption targets more accurately, and meanwhile, the power consumption targets are intelligently controlled according to the power consumption state data of the power consumption targets, so that the power consumption of all the power consumption targets served by the power station is more balanced; in addition, the system monitors the real-time electricity utilization state of the electricity utilization target and configures processing logic, so that the electricity utilization target of the power station service can be ensured not to influence the normal electricity utilization of the electricity utilization target of other power station services when the electricity utilization target has an excess electricity utilization problem, and the influence of the electricity supply and transmission problem on other electricity utilization targets can be reduced to the greatest extent when the electricity supply and transmission problem occurs to the individual electricity utilization target.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. The utility model provides a system is managed and issued to artificial intelligence network command based on power scheduling which characterized in that includes:
the control terminal (1) is a main control end of the system and is used for sending out control commands;
the monitoring module (2) is used for monitoring the real-time electric energy reserve and the power generation energy of the current power station in real time;
a capturing module (3) for capturing a transmission path when the power station transmits power to the supply target;
a planning module (4) for planning the electricity consumption limit of the electricity supply target;
the authentication module (5) is used for acquiring the operation type and the electricity consumption voltage requirement of the power station supply target and analyzing whether the operation type and the electricity consumption voltage requirement of the power station supply target are consistent;
the acquisition module (6) is used for acquiring the real-time electricity consumption of the power supply target;
the communication module (7) is used for feeding back the operation data of the acquisition module (6) to the power supply target;
the control terminal (1) is electrically connected with the monitoring module (2) through the medium, the monitoring module (2) is connected with the analysis unit (21) and the judging unit (22) through the medium, the monitoring module (2) is internally connected with the calculating unit (23) through the medium, the monitoring module (2) is electrically connected with the capturing module (3) and the planning module (4) through the medium, the planning module (4) is connected with the setting unit (41) and the evaluating unit (42) through the medium, and the planning module (4) is electrically connected with the authentication module (5), the acquisition module (6) and the communication module (7) through the medium.
2. The power dispatching-based artificial intelligent network command management and issuing system according to claim 1, wherein the monitoring module (2) is provided with a sub-module at a lower level, comprising:
an analysis unit (21) for analyzing the current power station supply target real-time power utilization efficiency;
the judging unit (22) is used for receiving the real-time electric energy reserve and the power generation capacity of the power station monitored by the monitoring module (2) and judging whether the power generation capacity of the power station meets the power supply target power consumption requirement or not;
a calculation unit (23) for calculating whether the real-time electric energy reserve and the power generation and energy production total value of the power station meet the power supply target power consumption requirement;
wherein, the analysis unit (21) controls the jump capturing module (3) to operate when the real-time power consumption efficiency of the analyzed power station supply target is the power consumption per hour of the power station supply target, the judgment unit (22) controls the jump calculating unit (23) to operate when the judgment result is yes, and the judgment unit (22) controls the jump calculating unit to operate when the judgment result is no;
when the calculation unit (23) operates, the daily electricity consumption time period of the power station supply target is synchronously acquired, the daily electricity consumption of the power station supply target is calculated according to the electricity consumption per hour, the power station power generation amount in the remaining time period except the daily electricity consumption time period of the power station supply target is further calculated, when the judgment result of the calculation unit (23) is NO, the power station is controlled to stop power supply and the operation result of the calculation unit (23) is sent to the control terminal (1), when the judgment result of the calculation unit (23) is NO, whether the power generation amount of the power station in the remaining time period of the power station is larger than the real-time electricity storage amount of the power station is further judged, and the judgment result is that the jump capturing module (3) operates.
3. The system for command management and issuing based on power scheduling artificial intelligence network according to claim 1, wherein the capturing module (3) captures a transmission path when the power station transmits power to the supply destination, synchronously acquires power splitting nodes in the transmission path, and constructs a power transmission topology image according to position information corresponding to the power splitting nodes, the power station supply destination and the power station position information.
4. The power dispatching-based artificial intelligence network command management and issuing system according to claim 1, wherein the planning module (4) is provided with a sub-module at a lower level, comprising:
a setting unit (41) for setting a daily electricity consumption amount of a power station supply target;
an evaluation unit (42) for evaluating whether the daily electricity consumption of the power station supply target set by the setting unit (41) is safe;
the daily electricity consumption of the power station supply target set by the setting unit (41) is the electricity consumption limit of the power supply target, the daily electricity consumption set by the setting unit (41) is set automatically through the power station supply target end, and the set daily electricity consumption is smaller than the total value of the real-time electricity reserve and the daily electricity generation energy of the power station.
5. The system according to claim 4, wherein the evaluation unit (42) obtains power information and daily operation time of power station supply target electric equipment, calculates a theoretical daily electric consumption value of the power station supply target according to the power information and daily operation time of the power station supply target, manually inputs the power transmission loss value by a user at the system end in synchronization, and when evaluating whether the daily electric consumption of the power station supply target is safe, the evaluation unit (42) applies a total value of the theoretical daily electric consumption value and the power transmission loss value of the power station supply target and a total value of the real-time electric energy reserve and daily electric power generation capacity of the power station, compares the power information and daily operation time with the daily electric consumption of the power station supply target set by the setting unit (41), the daily electric consumption of the power station supply target set by the setting unit (41) is between two groups of total values, and the evaluation result of the evaluation unit (42) is safe, otherwise the evaluation result of the evaluation unit (42) is unsafe.
6. The power dispatching-based artificial intelligent network command management and issuing system according to claim 1, wherein when the authentication result of the power station supply target is consistent, the authentication module (5) applies the power station supply target and the power utilization voltage thereof to search a power splitting node farthest from the power station supply target in a power transmission topological image, performs voltage coordination on transmission power in the searched power splitting node, and controls the power voltage output by the current power splitting node to be consistent with the power utilization voltage requirement authenticated by the authentication module (5).
7. The power dispatching-based artificial intelligent network command management and issuing system according to claim 1 or 4, wherein the acquisition module (6) synchronously calculates the current power consumption per hour of the power supply target after acquiring the real-time power consumption of the power supply target, further calculates the average power consumption in hours according to the daily power consumption of the power station supply target set by the setting unit (41), and analyzes whether the current power consumption per hour of the power supply target is greater than the average power consumption;
the acquisition module (6) manually sets an operation period through a system end user, the acquisition module (6) jumps to the next operation period to operate when the operation analysis result is negative, and the communication module (7) is triggered to operate when the analysis result is positive.
8. The power dispatching-based artificial intelligent network command management and issuing system according to claim 1, wherein the communication module (7) operates to set data reading timeliness synchronously through a user at a system end, after the communication module (7) operates to feed back operation data of the acquisition module (6) to the power supply target, the communication module synchronously monitors the reading state of the power supply target to the operation data, and after the reading timeliness is finished, the power station is controlled to stop transmitting power to the power supply target in a state that the operation data is not read yet.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310132980.XA CN115833402B (en) | 2023-02-20 | 2023-02-20 | Artificial intelligent network command management and issuing system based on power dispatching |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310132980.XA CN115833402B (en) | 2023-02-20 | 2023-02-20 | Artificial intelligent network command management and issuing system based on power dispatching |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115833402A CN115833402A (en) | 2023-03-21 |
| CN115833402B true CN115833402B (en) | 2023-05-23 |
Family
ID=85521859
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310132980.XA Active CN115833402B (en) | 2023-02-20 | 2023-02-20 | Artificial intelligent network command management and issuing system based on power dispatching |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115833402B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116365717B (en) * | 2023-05-31 | 2023-08-11 | 深圳凯升联合科技有限公司 | High-voltage circuit safety monitoring system and method |
| CN116885843B (en) * | 2023-06-12 | 2024-05-31 | 紫泉能源技术股份有限公司 | Big data-based intelligent management and control system for park distributed energy |
| CN116707145B (en) * | 2023-08-08 | 2023-10-20 | 山东尊品佳茗网络科技发展有限公司 | Intelligent electric energy monitoring system and method based on Internet of things |
| CN117040132A (en) * | 2023-08-18 | 2023-11-10 | 苏州钮斯拓系统集成有限公司 | AI intelligent management system based on energy storage of power utilization system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113592128A (en) * | 2021-04-28 | 2021-11-02 | 阜阳市福颖网络技术开发有限公司 | Big data electric wire netting operation monitoring system |
| CN114172146A (en) * | 2021-11-16 | 2022-03-11 | 国网辽宁省电力有限公司 | Intelligent auxiliary decision-making system for real-time visualization power grid service demand planning |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101730081B1 (en) * | 2010-12-23 | 2017-04-25 | 한국전자통신연구원 | System for providing energy management in home network interworking with smart grid, method and apparatus for providing energy management in home network interworking with smart grid |
| CN203911952U (en) * | 2014-06-27 | 2014-10-29 | 国家电网公司 | Intelligent monitoring device of electric power communication transmission equipment performance |
| CN104993585A (en) * | 2015-06-11 | 2015-10-21 | 国家电网公司 | Intelligent power grid control system |
| CN107546848A (en) * | 2016-06-26 | 2018-01-05 | 国网天津市电力公司 | A kind of operational process realized by automatic demand response system |
| CN109066750B (en) * | 2018-09-11 | 2020-06-16 | 重庆大学 | Photovoltaic-battery micro-grid hybrid energy scheduling management method based on demand side response |
| CN112531893A (en) * | 2020-11-26 | 2021-03-19 | 国网冀北电力有限公司计量中心 | Power demand response system and method |
| CN113659705B (en) * | 2021-05-31 | 2024-03-08 | 国家电网有限公司 | Substation operation management system |
| CN113572172B (en) * | 2021-09-26 | 2022-01-25 | 广东电网有限责任公司东莞供电局 | Power grid dispatching management system and management control method |
| CN114707761A (en) * | 2022-04-29 | 2022-07-05 | 深圳供电局有限公司 | Electric power intelligent scheduling management system |
| CN114977503B (en) * | 2022-06-02 | 2023-09-08 | 中交机电工程局有限公司 | Full-chain monitoring system and method for running state of integrated system |
| CN114899885A (en) * | 2022-06-02 | 2022-08-12 | 中国南方电网有限责任公司 | Power scheduling method, system and storage medium |
| CN115665259A (en) * | 2022-10-24 | 2023-01-31 | 鹤壁密码先进技术研究院 | Encrypted HTTP request acquisition device, system and method |
| CN115629589B (en) * | 2022-12-20 | 2023-04-07 | 天津沄讯网络科技有限公司 | Workshop online monitoring system and method based on digital twins |
-
2023
- 2023-02-20 CN CN202310132980.XA patent/CN115833402B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113592128A (en) * | 2021-04-28 | 2021-11-02 | 阜阳市福颖网络技术开发有限公司 | Big data electric wire netting operation monitoring system |
| CN114172146A (en) * | 2021-11-16 | 2022-03-11 | 国网辽宁省电力有限公司 | Intelligent auxiliary decision-making system for real-time visualization power grid service demand planning |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115833402A (en) | 2023-03-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115833402B (en) | Artificial intelligent network command management and issuing system based on power dispatching | |
| CN105449719B (en) | distributed energy power supply control method, device and system | |
| CN102694381B (en) | Multistage electrical-network self-healing control method | |
| CN112821553A (en) | Intelligent Internet of things perception regulation and control system and method based on low-voltage distribution network region | |
| CN107463732B (en) | Multi-terminal alternating current-direct current active power distribution network scheduling control simulation system and method | |
| CN106410966A (en) | Energy management device for multi-energy complementary system | |
| CN108173261A (en) | The active high reliability automatic control system of new-energy grid-connected | |
| CN106356863A (en) | Under-frequency load shedding system and under-frequency load shedding method on basis of panoramic information of regional power grids | |
| CN113949075A (en) | New energy network source coordinated frequency modulation and inertia support online monitoring and analysis system and method | |
| CN105048498B (en) | For how wind farm grid-connected dispatching patcher | |
| CN105591469A (en) | Community microgrid distributed control system | |
| CN114498709A (en) | High-speed cooperative distributed energy storage control system | |
| CN107732947A (en) | A kind of demand response system and method for energy internet | |
| CN216530731U (en) | Synthesize green energy efficiency intelligence management and control system | |
| CN113612259B (en) | Comprehensive energy station coordination control secondary system and method | |
| CN203466629U (en) | City power distribution area autonomous control optimized power supply system and monitoring system thereof | |
| CN106887848B (en) | Voltage power-less real-time control method based on Fuzzy Pattern Recognition | |
| CN114374273A (en) | Distributed energy storage system | |
| CN211744058U (en) | Energy management platform | |
| CN114389365A (en) | New energy station frequency high-speed response control method and device and terminal equipment | |
| CN113964862A (en) | New energy power station perception control system and method | |
| CN115002237B (en) | Intelligent gateway control method and system based on application of power battery to energy storage flexible load scheduling of industrial park | |
| CN110445158A (en) | Energy-accumulating power station system and transient state control method based on more net unifications | |
| CN204992768U (en) | Microgrid distributed control system of community | |
| CN113964940B (en) | Production regulation and control method based on demand response terminal and PLC system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |