CN115833402A - Artificial intelligence network command management and issuing system based on power dispatching - Google Patents
Artificial intelligence network command management and issuing system based on power dispatching Download PDFInfo
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- CN115833402A CN115833402A CN202310132980.XA CN202310132980A CN115833402A CN 115833402 A CN115833402 A CN 115833402A CN 202310132980 A CN202310132980 A CN 202310132980A CN 115833402 A CN115833402 A CN 115833402A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention relates to the technical field of data processing, in particular to an artificial intelligence network command management and issuing system based on power dispatching, which comprises: the control terminal is a main control end of the system and is used for sending out a control command; the monitoring module is used for monitoring the real-time electric energy storage and the power generation capacity of the current power station in real time; the capturing module is used for capturing a transmission path when the power station transmits power to the supply target; the planning module is used for planning the power utilization limit of the power supply target; in the system operation process, the comprehensive performance of the power station is analyzed through the actual power storage and capacity benefits of the power station, 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 of the power utilization target is achieved, the power utilization process of the power station is more stable, and the power utilization state of the power utilization target can be effectively captured through the real-time monitoring of the power utilization target, so that the power supply 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 intelligence network command management and issuing system based on power dispatching.
Background
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 of 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 conditions of various production works are comprehensively considered, the safe and economic operation states of the power grid are judged, operation instructions are issued through a telephone or an automatic system, and field operators or automatic control systems are instructed to adjust, such as adjusting the output of a generator, adjusting 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 science and technology in recent years, modern monitoring and control means are continuously perfected, and the technical support of power dispatching is increasingly strong.
However, each power consumer and industrial power utilization enterprise has many variable factors in the daily power utilization process, and the daily power utilization may have a time period with huge power consumption at variable times, and this condition can directly impact the power reserve of the power station, and even cause paralysis of the power system, thereby affecting other power consumers and industrial power utilization enterprises served by the power station.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an artificial intelligent network command management and issuing system based on power dispatching, and solves the technical problems in the background technology.
In order to achieve the purpose, the invention is realized by the following technical scheme:
artificial intelligence network command management and issuing system based on power dispatching includes:
the control terminal is a main control end of the system and is used for sending out a control command;
the monitoring module is used for monitoring the real-time electric energy storage and the power generation output of the current power station in real time;
the capturing module is used for capturing a transmission path when the power station transmits power to the supply target;
the planning module is used for planning the power utilization limit of the power supply target;
the authentication module is used for acquiring the operation type and the power consumption voltage requirement of the power station supply target and analyzing whether the operation type and the power consumption voltage requirement of the power station supply target are consistent or not;
the acquisition module is used for acquiring the real-time power 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 sub-modules at a lower level, including:
the analysis unit is used for analyzing the real-time utilization efficiency of the current power station supply target;
the judging unit is used for receiving the real-time electric energy storage and the power generation capacity of the power station monitored by the monitoring module and judging whether the power generation capacity of the power station meets the power demand of the power station supply target;
the analysis unit uses the power consumption per hour of the power station supply target at the analyzed real-time power station supply target efficiency, the judgment unit controls the skip capture module to operate when the judgment result is yes, and the judgment unit controls the skip calculation unit to operate when the judgment result is no.
Furthermore, a sub-module is disposed inside the monitoring module, and includes:
the calculating unit is used for calculating whether the total value of the real-time electric energy storage and the power generation capacity of the power station meets the target power consumption requirement of the power station;
when the calculation unit operates, the daily power consumption time interval of a power station supply target is synchronously acquired, the daily power consumption of the power station supply target is calculated according to the hourly power consumption, the power generation amount of the power station in the rest time interval except the daily power consumption time interval of the power station supply target is further calculated, when the calculation unit judges that the result is negative, the power station is controlled to stop power supply and power supply, the operation result of the calculation unit is sent to the control terminal, when the calculation unit judges that the result is positive, whether the power generation amount of the power station in the rest time interval of the power station is larger than the real-time power reserve amount of the power station is further judged, and the judgment result is that the skip capture module operates.
Furthermore, the capturing module captures a transmission path when the power station transmits power to the supply target, synchronously acquires power distribution nodes in the transmission path, and constructs a power transmission topological image according to the position information corresponding to the power distribution nodes, the power station supply target and the power station position information.
Still further, the planning module is provided with sub-modules at a lower level, including:
a setting unit for setting daily power consumption of a power station supply target;
an evaluation unit for evaluating whether the daily power consumption of the power plant supply target set by the setting unit is safe;
the daily power consumption of the power station supply target set by the setting unit is the power consumption limit of the power supply target, the daily power consumption set by the setting unit is automatically set by the power station supply target end, and the set daily power consumption is smaller than the sum of real-time power reserve of the power station and daily power generation capacity.
Furthermore, when the evaluation unit operates, the power information and the daily operating time of the target power consumption device supplied by the power station are acquired, the daily power consumption theoretical value of the target power consumption device supplied by the power station is calculated according to the power information and the daily operating time of the target power consumption device supplied by the power station, the power transmission loss value is manually input by a system end user synchronously, when the daily power consumption of the target power consumption device supplied by the power station is evaluated to be safe, the evaluation unit compares the sum of the daily power consumption theoretical value and the power transmission loss value of the target power consumption and the sum of the real-time electric energy storage and the daily power generation capacity of the power station with the daily power consumption of the target power consumption device supplied by the power station set by the setting unit respectively, the daily power consumption of the target power consumption device supplied by the power station set by the setting unit is between two combinations, the evaluation result of the evaluation unit is safe, otherwise, the evaluation result of the evaluation unit is unsafe.
Furthermore, when the authentication result of the power station supply target is consistent, the authentication module searches a power distribution node which is farthest from the power station supply target in the power transmission topological image by using the power station supply target and the power voltage of the power station supply target, performs voltage coordination on the transmission power in the searched power distribution node, and controls the power voltage output by the current power distribution node to be consistent with the power voltage requirement authenticated by the authentication module.
Furthermore, after the acquisition module acquires the real-time electricity consumption of the power supply target, the acquisition module synchronously calculates the current electricity consumption of the power supply target per hour, further calculates an electricity consumption average value taking hours as a unit according to the daily electricity consumption of the power station supply target set by the setting unit, and analyzes 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 cycle through a system end user, the acquisition module jumps to the next operation cycle to operate when the operation analysis result is negative, and the communication module is triggered to operate when the analysis result is positive.
Furthermore, the communication module synchronously operates and reads the time limit through the data set by the system end user, after the communication module operates and feeds 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 on the operation data, and after the time limit is read, the power station is controlled to stop transmitting power to the power supply target under the condition that the operation data is not read yet.
Furthermore, the control terminal is electrically connected with a monitoring module through a medium, the monitoring module is electrically connected with an analysis unit and a judgment unit through a medium, the monitoring module is internally electrically connected with a calculation unit through a medium, the monitoring module is electrically connected with a capture module and a planning module through a medium, the planning module is electrically connected with a setting unit and an evaluation unit through a medium, and the planning module is electrically connected with an authentication module, an acquisition module and a communication module through a medium.
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
the invention provides an artificial intelligence network command management and issuing system based on power dispatching, which analyzes the comprehensive performance of a power station by analyzing the actual power storage and capacity benefits of the power station in the operation process and further configures a power utilization target of power supplied by the power station according to the analysis result so as to achieve the purpose of carrying out power utilization planning on the power utilization target, so that the power supply and transmission process of the power station is more stable, and the power utilization state of the power utilization target can be effectively captured by monitoring the power utilization target in real time, so that the power supply and transmission process of the power station is safer.
In the operation process of the system, the electricity utilization state of the electricity utilization target can be captured more accurately by the system through the fine computer management of the hourly electricity utilization and the electricity utilization time period of the electricity utilization target, meanwhile, the electricity utilization target is intelligently controlled according to the electricity utilization state data of the electricity utilization target, and the electricity utilization of all the electricity utilization targets served by the power station is effectively maintained to be more balanced.
In the operation process of the system, the processing logic for monitoring and configuring the real-time power utilization state of the power utilization target can ensure that the normal power utilization of the power utilization targets served by other power stations cannot be influenced when the power utilization excess problem occurs to the power utilization target served by the power station, so that the influence of the power supply and transmission problem on other power utilization targets can be reduced to the greatest extent when the power supply and transmission problem occurs to an individual power 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 obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic structural diagram of an artificial intelligence network command management and issuing system based on power dispatching;
the reference numerals in the drawings denote: 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 clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The present invention will be further described with reference to the following examples.
Example 1:
as shown in fig. 1, the system for managing and issuing commands based on an artificial intelligence network for power scheduling of this embodiment includes:
the control terminal 1 is a main control end of the system and is used for sending out a control command;
the monitoring module 2 is used for monitoring the real-time electric energy storage and the power generation output of the current power station in real time;
a capture module 3 for capturing a transmission path when the power station transmits power to a supply target;
a planning module 4 for planning a power utilization limit of the power supply target;
the authentication module 5 is used for acquiring the operation type and the power consumption voltage requirement of the power station supply target and analyzing whether the operation type and the power consumption voltage requirement of the power station supply target are consistent or not;
the acquisition module 6 is used for acquiring the real-time power 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 the embodiment, a control terminal 1 controls a monitoring module 2 to monitor real-time electric energy storage and power generation capacity of a current power station in real time, a synchronous capturing module 3 operates a transmission path when the capturing power station transmits power to a supply target, a planning module 4 operates and plans power utilization limitation of the power supply target in a rear-mounted mode, an authentication module 5 acquires an operation type and a power utilization voltage demand of the power station supply target, whether the operation type and the power utilization voltage demand of the power station supply target are consistent or not is analyzed, an acquisition module 6 acquires real-time power consumption of the power supply target in real time, and finally a communication module 7 feeds back operation data of the acquisition module 6 to the power supply target;
the power plant supply target operation type is referred to as a power plant supply target electricity voltage.
Example 2:
in a specific implementation aspect, on the basis of embodiment 1, this embodiment further specifically describes the artificial intelligence network command management and issuing system based on power scheduling in embodiment 1 with reference to fig. 1:
as shown in fig. 1, the monitoring module 2 is provided with sub-modules at a lower level, including:
the analysis unit 21 is used for analyzing the real-time utilization efficiency of the current power station supply target;
the judging unit 22 is configured to receive the real-time electric energy storage and the generated power capacity of the power station monitored by the monitoring module 2, and judge whether the generated power capacity of the power station meets the target power demand supplied by the power station;
the analysis unit 21 uses the power consumption per hour of the power station supply target at the analyzed real-time power station supply target efficiency, the judgment unit 22 controls the jump capture module 3 to operate if the judgment result is yes, and the judgment unit 22 controls the jump calculation unit 23 to operate if the judgment result is no.
Through the arrangement of the lower-level sub-modules of the monitoring module 2, the detection module 2 can acquire more data during operation, so that basic data support is provided for the operation of the modules in the system.
As shown in fig. 1, the monitoring module 2 is internally provided with sub-modules, including:
the calculating unit 23 is used for calculating whether the total value of the real-time electric energy storage and the power generation capacity of the power station meets the target power consumption requirement of the power station;
when the calculation unit 23 runs, the daily power consumption time period of the power station supply target is synchronously acquired, the daily power consumption of the power station supply target is calculated according to the hourly power consumption, the remaining time period power station power generation amount except the daily power consumption time period of the power station supply target is further calculated, when the calculation unit 23 judges that the result is negative, the power station is controlled to stop power supply and power transmission, 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 positive, whether the remaining time period power station power generation amount of the power station is larger than the real-time power reserve amount of the power station is further judged, and the judgment result is that the skip capture module 3 runs.
Through the setting of the sub-modules in the monitoring module 2, whether the current power station supply target power demand is matched with the power station power supply capacity can be accurately judged.
As shown in fig. 1, the capturing module 3 captures a transmission path when the power station transmits power to the supply target, 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 target, and the power station position information.
As shown in fig. 1, the planning module 4 is provided with sub-modules at a lower level, including:
a setting unit 41 for setting daily power consumption of a power station supply target;
an evaluation unit 42 for evaluating whether or not the daily amount of electricity used of the electricity station supply target set by the setting unit 41 is safe;
the daily power consumption of the power station supply target set by the setting unit 41 is the power consumption limit of the power supply target, the daily power consumption set by the setting unit 41 is set by the power station supply target, and the set daily power consumption is smaller than the sum of the real-time power reserve of the power station and the daily generated capacity.
Through the setting of the sub-module of the lower level of the planning module 4, the power demand of the power station supply target can be further judged, and the result data obtained by system operation is more effective and accurate.
As shown in fig. 1, when the evaluation unit 42 operates, the power information of the target electric equipment supplied by the power station and the daily operating time are obtained, the daily electric theoretical value of the target electric equipment supplied by the power station is calculated according to the power information of the target electric equipment supplied by the power station and the daily operating time, the electric power transmission loss value is manually input by a system end user synchronously, when the evaluation unit 42 evaluates whether the daily electric power of the target electric equipment supplied by the power station is safe, the sum of the daily electric theoretical value of the target electric power supplied by the application power station and the electric power transmission loss value and the sum of the real-time electric energy reserve of the power station and the daily generated capacity are respectively compared with the daily electric power of the target electric equipment supplied by the power station set by the setting unit 41, the daily electric power of the target electric equipment supplied by the power station set by the setting unit 41 is between two combined values, the evaluation result of the evaluation unit 42 is safe, otherwise, the evaluation result of the evaluation unit 42 is unsafe.
Example 3:
in a specific implementation aspect, on the basis of embodiment 1, this embodiment further specifically describes, with reference to fig. 1, the artificial intelligence network command management and issuing system based on power scheduling in embodiment 1:
when the authentication result of the power station supply target is consistent, the authentication module 5 searches the power distribution node which is farthest from the power station supply target in the power transmission topological image by using the power station supply target and the power voltage of the power station supply target, performs voltage coordination on the transmission power in the searched power distribution node, and controls the power voltage output by the current power distribution node to be consistent with the power voltage requirement authenticated by the authentication module 5.
As shown in fig. 1, after the real-time power consumption of the power supply target is collected, the collection module 6 synchronously calculates the current hourly power consumption of the power supply target, further calculates the average power consumption value 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 hourly power consumption of the power supply target is greater than the average power consumption value;
the acquisition module 6 sets an operation cycle manually by a system end user, the acquisition module 6 skips to the next operation cycle to operate when the operation analysis result is negative, and the communication module 7 is triggered to operate when the analysis result is positive.
As shown in fig. 1, the communication module 7 operates synchronously, and sets data reading time limit through a system end user, after the communication module 7 operates and feeds back the operation data to the power supply target feedback acquisition module 6, the reading state of the power supply target on the operation data is synchronously monitored, and after the time limit is read, the power station is controlled to stop transmitting power to the power supply target under the state that the operation data is not read yet.
As shown in fig. 1, the control terminal 1 is electrically connected to the monitoring module 2 through a medium, the monitoring module 2 is electrically connected to the analyzing unit 21 and the determining unit 22 through a medium at a lower stage, the monitoring module 2 is electrically connected to the calculating unit 23 through a medium, the monitoring module 2 is electrically connected to the capturing module 3 and the planning module 4 through a medium, the planning module 4 is electrically connected to the setting unit 41 and the evaluating unit 42 through a medium at a lower stage, and the planning module 4 is electrically connected to the authentication module 5, the acquisition module 6 and the communication module 7 through a medium.
In summary, the system in the above embodiment analyzes the comprehensive performance of the power station by analyzing the actual power reserve and capacity benefit of the power station, and further configures the power utilization target of the power supplied by the power station according to the analysis result, so as to achieve power utilization planning on the power utilization target, so that the power supply and transmission process of the power station is more stable, and by monitoring the power utilization target in real time, the power utilization state of the power utilization target can be effectively captured, and the power supply and transmission process of the power station is ensured to be safer; meanwhile, in the operation process of the system, the electricity utilization state of the electricity utilization target can be captured more accurately by the system through the fine computer management of the hourly electricity utilization and the electricity utilization time period of the electricity utilization target, meanwhile, the electricity utilization target is intelligently controlled according to the electricity utilization state data of the electricity utilization target, and the electricity utilization of all the electricity utilization targets served by the power station is effectively maintained to be more balanced; in addition, the system monitors the real-time power utilization state of the power utilization target and configures processing logic, so that the normal power utilization of the power utilization targets served by other power stations can not be influenced when the power utilization target served by the power station has the power utilization excess problem, and the influence of the power supply and transmission problem on other power utilization targets can be reduced to the greatest extent when the power supply and transmission problem occurs to individual power utilization targets.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. Artificial intelligence network command management and issuing system based on power dispatching is characterized by comprising:
the control terminal (1) is a main control end of the system and is used for sending out a control command;
the monitoring module (2) is used for monitoring the real-time electric energy storage and the power generation output of the current power station in real time;
a capture module (3) for capturing a transmission path when the power station transmits power to a supply target;
a planning module (4) for planning a power usage limit of the power supply target;
the authentication module (5) is used for acquiring the operation type and the power consumption voltage requirement of the power station supply target and analyzing whether the operation type and the power consumption voltage requirement of the power station supply target are consistent or not;
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.
2. The power scheduling-based artificial intelligence network command management and issuing system according to claim 1, wherein the monitoring module (2) is provided with sub-modules at a lower level, and the sub-modules comprise:
an analysis unit (21) for analyzing the real-time utilization efficiency of the current power station supply target;
the judging unit (22) is used for receiving the real-time electric energy storage 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 of the power station;
the analysis unit (21) uses the hourly power consumption of the power station supply target at the analyzed real-time power station supply target efficiency, the judgment unit (22) controls the skip capturing module (3) to operate when the judgment result is yes, and the judgment unit (22) controls the skip calculation unit (23) to operate when the judgment result is no.
3. The system for managing and issuing the commands of the artificial intelligent network based on the power dispatching as claimed in claim 1, wherein the monitoring module (2) is internally provided with sub-modules, which comprise:
the calculating unit (23) is used for calculating whether the total value of the real-time electric energy storage and the power generation production energy of the power station meets the power supply target power consumption requirement of the power station;
when the calculation unit (23) operates, the daily power consumption time interval of the power station supply target is synchronously acquired, the daily power consumption of the power station supply target is calculated according to the hourly power consumption, the power generation amount of the power station in the rest time interval except the daily power consumption time interval of the power station supply target is further calculated, when the judgment result of the calculation unit (23) is negative, the power station is controlled to stop power supply and output, 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 positive, whether the power generation amount of the power station in the rest time interval of the power station is larger than the real-time power reserve amount of the power station is further judged, and the judgment result is that the skip capture module (3) operates.
4. The system for managing and issuing the commands on the basis of the power dispatching artificial intelligence network as claimed in claim 1, wherein the capturing module (3) captures a transmission path when the power station transmits power to the supply target, synchronously obtains power splitting nodes in the transmission path, and constructs a power transmission topological image according to position information corresponding to the power splitting nodes, the power station supply target and the power station position information.
5. The system for managing and issuing commands of the artificial intelligent network based on power dispatching as claimed in claim 1, wherein the planning module (4) is provided with sub-modules at the lower level, and comprises:
a setting unit (41) for setting daily power consumption of a power station supply target;
an evaluation unit (42) for evaluating whether or not the daily power consumption of the plant supply target set by the setting unit (41) is safe;
the daily power consumption of the power station supply target set by the setting unit (41) is the power consumption limit of the power supply target, the daily power consumption set by the setting unit (41) is automatically set by the power station supply target end, and the set daily power consumption is smaller than the sum of real-time power reserve of the power station and daily generated capacity.
6. The system for managing and issuing commands based on an artificial intelligent network for power scheduling as claimed in claim 5, wherein the evaluation unit (42) obtains the power information and the daily operating time of the target power consumption device supplied from the power station, calculates the daily theoretical value of power consumption of the target power consumption device supplied from the power station according to the power information and the daily operating time of the target power consumption device supplied from the power station, and inputs the power transmission loss value manually by the system end user, when the evaluation unit (42) evaluates whether the daily power consumption of the target power consumption device supplied from the power station is safe, the evaluation unit (42) compares the total value of the daily theoretical value of power consumption of the target power consumption device supplied from the power station and the total value of the real-time power reserve and the daily generated capacity of the power generation with the daily power consumption of the target power consumption device supplied from the power station set by the setting unit (41), and the daily power consumption of the target power consumption of the power consumption device supplied from the power station set by the setting unit (41) is between the two total values, and the evaluation unit (42) evaluates the result is safe, otherwise, and the evaluation unit (42) evaluates the result is unsafe.
7. The power scheduling-based artificial intelligence 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) searches a power distribution node farthest from the power station supply target in the power transmission topology image by using the power station supply target and the power voltage thereof, performs voltage coordination on the transmission power in the searched power distribution node, and controls the power voltage output by the current power distribution node to be consistent with the power voltage requirement authenticated by the authentication module (5).
8. The system for managing and issuing commands based on the power dispatching artificial intelligence network is characterized in that the acquisition module (6) is used for synchronously calculating the current hourly power consumption of the power supply target after acquiring the real-time power consumption of the power supply target, further calculating the average power consumption value in hours according to the daily power consumption of the power station supply target set by the setting unit (41), and analyzing whether the current hourly power consumption of the power supply target is larger than the average power consumption value;
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.
9. The power scheduling-based artificial intelligence network command management and issuing system according to claim 1, wherein the communication module (7) operates synchronously and sets a data reading time limit through a system end user, the communication module (7) operates to feed back the operation data of the acquisition module (6) to the power supply target, and then synchronously monitors the reading state of the operation data by the power supply target, and after the reading time limit is over, the power station is controlled to stop transmitting power to the power supply target when the operation data is still not read.
10. The system for managing and issuing commands based on the power dispatching artificial intelligence network is characterized in that the control terminal (1) is electrically connected with a monitoring module (2) through a medium, the monitoring module (2) is electrically connected with an analysis unit (21) and a judgment unit (22) through a medium, the monitoring module (2) is internally and electrically connected with a calculation unit (23) through a medium, the monitoring module (2) is electrically connected with a capture module (3) and a planning module (4) through a medium, the planning module (4) is electrically connected with a setting unit (41) and an evaluation unit (42) through a medium, and the planning module (4) is electrically connected with an authentication module (5), a collection module (6) and a communication module (7) through a medium.
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| CN116365717A (en) * | 2023-05-31 | 2023-06-30 | 深圳凯升联合科技有限公司 | High-voltage circuit safety monitoring system and method |
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