CN114006368A - Intelligent control method, system and storage medium for electric power flexible load - Google Patents
Intelligent control method, system and storage medium for electric power flexible load Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/52—The controlling of the operation of the load not being the total disconnection of the load, i.e. entering a degraded mode or in current limitation
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/58—The condition being electrical
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- Engineering & Computer Science (AREA)
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- Human Computer Interaction (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention belongs to the technical field of electric power flexible loads, and discloses an intelligent control method, a system and a storage medium for an electric power flexible load, wherein the method comprises the following steps: acquiring load demand data acquired by a plurality of load control terminals; inputting the sequenced load demand data into a time sequence prediction model to obtain flexible load prediction data; setting a load control time segment according to the flexible load prediction data, and generating a load control terminal execution instruction based on the load control time segment; and the load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control. Has the advantages that: the regional server completes flexible load prediction according to the load demand data, and sends the flexible load prediction to the load control terminal to execute a control instruction according to the load control time segment, so that intelligent flexible load control is realized, the flexible load regulation and control potential of a user side is fully exerted, refined flexible load control on the user demand side is realized, and flexible power grid capacity scheduling and user flexible demands are met.
Description
Technical Field
The invention relates to the technical field of electric power flexible loads, in particular to an intelligent control method, system and storage medium for an electric power flexible load.
Background
The electric power flexible load can actively participate in the operation control of the power grid, can perform energy interaction with the power grid, and has the flexible characteristic. The flexible load can reduce the electricity cost by adjusting the electricity utilization behavior, and can play a role in peak clipping and valley filling in the power system.
The existing flexible load control mostly stays in the field of macroscopic power regulation, for example, flexible load control is carried out in a mode of electricity price or advance contract, and the control deficiency of the flexible load still exists on the side close to the demand, namely the load side of a user, so that the huge flexible load regulation potential of the user side is not fully exerted.
There is therefore a need for improvements to existing methods and systems for controlling electrical flexible loads that fully exploit the potential for user-side flexible load regulation.
Disclosure of Invention
The purpose of the invention is: the control method and the system for the existing electric power flexible load are improved to fully exert the adjustment potential of the flexible load on the user side.
In order to achieve the above object, the present invention provides an intelligent control method for an electric power flexible load, comprising:
acquiring load demand data acquired by a plurality of load control terminals; the load demand data includes one or more of current data, voltage data, power factor and charge data based on a time series.
And sequencing the load demand data based on the time sequence, and inputting the sequenced load demand data into a time sequence prediction model to obtain flexible load prediction data.
And setting a load control time slice of each load control terminal according to the flexible load prediction data, and generating a load control terminal execution instruction of each load control terminal based on the load control time slices.
And sending the load control terminal execution instruction to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control.
Further, the intelligent control method further comprises:
setting a load regulation feedback time segment according to the time sequence of the load control terminal execution instruction, and generating flexible load regulation data based on the load regulation feedback time segment;
and sending the flexible load regulation and control data to a preset control center.
Further, the load control terminal executes the instruction, which includes any one or more of closing control, power control, electric quantity control and time interval control on the user load demand side.
Further, the time series prediction model is any one of an autoregressive model, a moving average model, an autoregressive moving average model and a differential autoregressive moving average model of machine learning.
Further, the setting of the load control time segment of each load control terminal according to the flexible load prediction data specifically includes:
and setting a data change rate threshold according to the flexible load prediction data, and setting a load control time segment of each load control terminal according to the data change rate threshold.
Further, the flexible load regulation and control data comprises a flexible load type, a flexible load priority, a flexible load peak time period, a flexible load valley time period and a flexible load flat time period; the flexible load types include large industrial user flexible loads, commercial user flexible loads, and residential user flexible loads.
The invention also discloses an intelligent control system for the electric power flexible load, which comprises: the system comprises a control center, at least one area server and a plurality of load control terminals; the control center is connected with the regional servers and is used for controlling the regional servers according to a preset flexible load scheduling plan mode; each regional server is connected with a plurality of load control terminals and is used for receiving load demand data sent by the load control terminals and executing the intelligent control method to realize intelligent control on the load control terminals; the load control terminal is used for collecting load demand data and executing a load control terminal execution instruction sent by the regional server.
Further, the flexible load dispatching plan mode comprises any one or more of a power price based mode, a contract agreement based mode, a demand side bidding based mode, an orderly power utilization based mode, a participation standby plan based mode and a participation frequency control based mode.
Furthermore, the load control terminal comprises a control module, an acquisition module, a setting module, a load control module, a communication module and a power module; the acquisition module, the setting module, the load control module, the communication module and the power supply module are respectively connected with the control module; the load control terminal is arranged at a user side, and the acquisition module is used for acquiring load demand data of a user side load and sending the load demand data to a regional service through the communication module; the setting module is used for realizing the system and parameter setting of the load control terminal by the regional server; the load control module is used for executing a load control terminal execution instruction issued by the regional server; the communication module comprises any one of a narrow-band Internet of things, Bluetooth, wireless Wifi and RS 484; the power supply module is an independent three-phase power supply module.
The invention also discloses a storage medium, wherein the storage medium stores a computer program, the computer program comprises a flexible load intelligent control program, and when the flexible load intelligent control program is executed by a processor, the flexible load intelligent control method is realized.
Compared with the prior art, the intelligent control method, the intelligent control system and the storage medium for the electric power flexible load disclosed by the invention have the beneficial effects that: the method comprises the steps that load demand data are collected through a load control terminal, a regional server finishes flexible load prediction according to the load demand data and sends the flexible load prediction to the load control terminal to execute a control instruction according to a load control time segment, intelligent flexible load control is achieved, flexible load regulation and control potential of a user side is fully exerted, refined flexible load control of the user demand side is achieved, and flexible power grid capacity scheduling and user flexible demands are met.
Drawings
FIG. 1 is a first flowchart of an intelligent control method for an electric power flexible load according to the present invention;
FIG. 2 is a second flow chart of the intelligent control method for the electric power flexible load according to the invention;
FIG. 3 is a schematic structural diagram of an intelligent control system for electric power flexible loads according to the present invention;
FIG. 4 is a schematic structural diagram of a medium load control terminal of the intelligent control system for electric power flexible loads according to the present invention;
FIG. 5 is a schematic diagram of a region server according to the present invention;
fig. 6 is a schematic structural diagram of a flexible load intelligent control program in a regional server according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
referring to the attached figure 1, the invention discloses an intelligent control method for a flexible load of electric power, which is applied to the flexible load regulation and control of an electric power system and comprises the following steps:
step S1, acquiring load demand data collected by a plurality of load control terminals 30; the load demand data includes one or more of current data, voltage data, power factor and charge data based on a time series.
And step S2, sorting the load demand data based on the time sequence, and inputting the sorted load demand data into a time sequence prediction model to obtain flexible load prediction data.
And step S3, setting a load control time slice of each load control terminal according to the flexible load prediction data, and generating a load control terminal execution instruction of each load control terminal based on the load control time slice.
And step S4, sending the load control terminal execution instruction to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control.
In step S1, the load control terminals 30 may correspond to a business center, a factory, or a residential area, or may be more finely managed, for example, each load control terminal 30 may correspond to a resident, a business building, or a workshop of a factory, and the like, without limitation.
In step S2, the time-series prediction model is any one of an autoregressive model, a moving average model, an autoregressive moving average model, and a differential autoregressive moving average model that are machine-learned. The autoregressive model, the moving average model, the autoregressive moving average model and the difference autoregressive moving average model are used for a machine learning algorithm, and accurate flexible load prediction data are achieved through training of the machine learning algorithm. Specifically, in one embodiment of the present invention, a differential autoregressive moving average model is selected for machine learning. Through intelligent machine learning, the workload of manual participation or manual intervention is reduced, the labor cost is saved, and the flexible load management is more refined and intelligent.
In step S3, a load control time slice for each load control terminal is set according to the flexible load prediction data, and a load control terminal execution instruction for each load control terminal is generated based on the load control time slice.
In this embodiment, the load control terminal executes the instruction, which includes any one or more of closing control, power control, electric quantity control, and time interval control on the user load demand side.
In this embodiment, the setting of the load control time segment of each load control terminal according to the flexible load prediction data specifically includes: and setting a data change rate threshold according to the flexible load prediction data, and setting a load control time segment of each load control terminal according to the data change rate threshold.
Step S3 will be further described with reference to an actual application scenario. For example, if it is known from the flexible load prediction data that a negative change of more than 10% occurs at 23 points in a specific time, this means that a change of more than 10% of load reduction occurs at 23 points in the user load, and a data change rate threshold is set to 10%, that is, if the data change rate threshold is exceeded at 23 points in the specific time, a corresponding control command is set at 23 points in the load control time slice, and this control command is generated in the load control terminal execution command. Specifically, based on the numerical value setting of the data change rate threshold, more refined flexible load control can be realized, for example, by data judgment of the flexible load prediction data, when the data change rate threshold is set to a smaller value, such as 5%, the flexible load control can be more sensitive, the flexible control can be realized under the condition that the data change rate is smaller, and the flexibility and refinement of the control are increased.
In step S4, the load control terminal execution instruction is sent to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to implement flexible load intelligent control.
Example 2:
referring to fig. 2, on the basis of embodiment 1, the intelligent control method further includes:
step S5, setting a load regulation feedback time segment according to the time sequence of the load control terminal execution instruction, and generating flexible load regulation data based on the load regulation feedback time segment;
and step S6, sending the flexible load regulation and control data to a preset control center 10.
In step S5, the frequency of the intelligent control of the flexible load can be obtained by executing the time sequence of the instruction by the load control terminal, and according to the frequency, a time period with a longer time interval between the intelligent control of the flexible load is selected as the load regulation feedback time slice, which is beneficial to the system to perform the intelligent control of the flexible load without affecting the system performance, and meanwhile, the load regulation feedback time slice can also be set by combining the feedback time period defined by the reference control center 10 and the time sequence of the instruction executed by the load control terminal 30. The flexible load regulation and control data comprise flexible load types, priorities, and data of flexible load peak time periods, flexible load valley time periods and flexible load ordinary time periods; the flexible load types include large industrial user flexible loads, commercial user flexible loads, and residential user flexible loads.
In step S6, the flexible load control data is transmitted to the preset control center 10. The control center 10 formulates a flexible load dispatching plan mode, which includes any one or more of a power price-based mode, a contractual agreement-based mode, a demand-side bidding-based mode, an orderly power utilization-based mode, a standby plan participation-based mode and a frequency participation control-based mode, so as to realize the dispatching control of the flexible load at the level of the control center 10.
In this embodiment, preferably, the control instruction can be intelligently generated by adjusting the size of the time segment of the load control, so that the instruction is executed by the load control terminal to realize intelligent control of the flexible load on the user demand side, the flexible load can be identified and automatically adjusted without manual participation, the labor cost is saved, and the control of the flexible load is more intelligent and refined; meanwhile, by adjusting the feedback time segment of the load adjustment, the flexible load regulation and control data can be quickly fed back to the control center 10, which is beneficial to the control center 10 to quickly adjust the scheduling plan of the flexible load.
In this embodiment, the flexible load regulation and control data includes a flexible load type, a flexible load priority, a flexible load peak period, a flexible load valley period, and a flexible load flat period; the flexible load types include large industrial user flexible loads, commercial user flexible loads, and residential user flexible loads.
Example 3:
referring to fig. 3, the invention discloses an intelligent control system for electric power flexible load, comprising: a control center 10, at least one regional server 20, and a plurality of load control terminals 30; the control center 10 is connected with the regional servers 20, and the control center 10 is used for controlling the regional servers 20 according to a preset scheduling plan mode of the flexible load; each regional server 20 is connected to a plurality of load control terminals 30, and the regional server 20 is configured to receive load demand data sent by the load control terminals 30 and execute the intelligent control method in embodiment 1 or 2 to realize intelligent control over the load control terminals 30; the load control terminal 30 is configured to collect load demand data and execute a load control terminal execution instruction sent by the regional server 20.
In this embodiment, the number of the area servers 20 is determined according to the practical application range of the system, when there are a plurality of areas to be managed, a plurality of area servers 20 are set, and each area server 20 is connected to the control center 10; each zone has a plurality of load control terminals 30 to be controlled, and thus the zone controller is connected to a plurality of load control terminals 30.
In the present embodiment, the load control terminals 30 may correspond to a business center, a factory, or a residential area, or may implement more detailed management, for example, each load control terminal 30 may correspond to a resident, a business building, or a workshop of a factory, and the like, which is not limited herein.
In this embodiment, in combination with the intelligent control method in embodiments 1 to 3, it can be seen that the area server 20 is configured to: (1) acquiring load demand data acquired by a plurality of load control terminals 30; the load demand data comprises one or more of current data, voltage data, power factor and charge data based on a time series; (2) the load demand data are sorted based on the time sequence, and the sorted load demand data are input into a time sequence prediction model to obtain flexible load prediction data; (3) setting a load control time segment of each load control terminal according to the flexible load prediction data, and generating a load control terminal execution instruction of each load control terminal based on the load control time segment; (4) and sending the load control terminal execution instruction to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control. (5) Setting a load regulation feedback time segment according to the time sequence of the load control terminal execution instruction, and generating flexible load regulation data based on the load regulation feedback time segment; (6) and sending the flexible load regulation and control data to a preset control center 10.
The control center 10 is configured to: (1) receiving flexible load regulation and control data sent by the regional server 20; (2) and establishing a dispatching plan mode of the flexible load.
The load control terminal 30 is configured to: (1) collected load demand data; the load demand data comprises one or more of current data, voltage data, power factor and charge data based on a time series; (2) and executing a load control terminal execution instruction sent by the regional server 20 to realize flexible load intelligent control.
In this embodiment, the flexible load scheduling plan mode includes any one or more of an electricity price based mode, a contract agreement based mode, a demand-side bid based mode, an orderly power utilization based mode, a participation standby plan based mode, and a participation frequency control based mode. Different modes correspond to different power system environments, the control mode of the flexible load is related to actual power dispatching, and different power dispatching plans are different among the different modes. For example, the inter-node electricity price is taken as a solving object, and a safety constraint scheduling strategy for flexible load participation in standby is realized; the power selling income of the incentive load and the compensation cost of the interruptible load are taken into consideration, the aim of calling benefit maximization is taken as a target, and the strategy that the flexible load participates in load peak regulation is realized; the method comprises the steps that the frequency control of a power system is taken as a target, the starting and stopping of a flexible load are controlled through a demand response means, and the power utilization demand and the power grid running state are balanced; the joint scheduling of the distributed power supply and the unidirectional flexible load is considered, so that the operation efficiency of the power system is improved, and the like.
Example 4:
on the basis of embodiment 4, in order to better implement intelligent control of the flexible load, further optimization needs to be performed on the intelligent control system in the present application, so that an alternative implementation manner of the load control terminal 30 is provided in this embodiment, specifically:
in this embodiment, referring to fig. 4, the load control terminal 30 includes a control module 31, an acquisition module 32, a setting module 33, a load control module 34, a communication module 35, and a power module 36; the acquisition module 32, the setting module 33, the load control module 34, the communication module 35 and the power module 36 are respectively connected with the control module 31; the load control terminal 30 is arranged at a user side, and the acquisition module 32 is configured to acquire load demand data of a load at the user side and send the load demand data to the regional server 20 through the communication module 35; the setting module 33 is configured to implement system and parameter setting of the load control terminal 30 by the regional server 20; the load control module 34 is configured to execute a load control terminal execution instruction issued by the regional server 20; the communication module 35 comprises any one of a narrowband internet of things, Bluetooth, wireless Wifi and RS 484; the power module 36 is an independent three-phase power supply module.
In this embodiment, the load control terminal executes instructions including any one or more of closing control, power control, electric quantity control and time interval control on the user load demand side, and the load control module 34 executes the instructions to realize flexible charge control.
In the present embodiment, the load control terminal 30 will be further described with reference to an actual application scenario. The communication module 35 is in communication connection with the regional server 20 by using a narrowband internet of things, the acquisition module 32 is preferably a high-speed high-precision digital sampling sensor to realize real-time high-speed electric energy calculation, and can still ensure sampling and electric energy metering precision under the operating conditions of large load fluctuation and high harmonic content, the acquired data comprises current data, voltage data, power factors, electric quantity data and the like based on time sequences, preferably, the acquisition module 32 further comprises an environment acquisition sensor, such as temperature, humidity and the like, and the environment condition is reported to the control center 10 through the regional server 20; meanwhile, the acquisition module 32 is also provided with a remote meter reading unit, supports various ammeter communication protocols, and realizes data reading of the existing intelligent ammeter.
Example 5:
the invention also discloses a storage medium, which stores a computer program, wherein the computer program comprises a flexible load intelligent control program, and when the flexible load intelligent control program is executed by a processor 22, the flexible load intelligent control method of the embodiment 1 or the embodiment 2 is realized.
On the basis of a storage medium, the invention also discloses a region server 20, the region server 20 comprises the storage medium, a processor 22, a communication bus 23 and a network interface 24, the storage medium stores a flexible load intelligent control program which can be run by the processor 22, the flexible load intelligent control program realizes the flexible load intelligent control method in the embodiment 1 or 2 when being executed by the processor 22, and the storage medium, the communication bus 23 and the network interface 24 are all connected with the processor 22.
In this implementation, the readable storage medium includes flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and so forth. The memory 21 may be an internal storage unit of the zone server 20 in some embodiments, such as a hard disk of the zone server 20. The memory 21 may be an external storage device of the area server 20 in other embodiments, such as a plug-in hard disk provided on the area server 20, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 21 may also include both an internal storage unit of the zone server 20 and an external storage device. The memory 21 may be used not only to store application software installed in the area server 20 and various types of data, such as a code of a flexible load smart control program, etc., but also to temporarily store data that has been output or is to be output.
In the present embodiment, the processor 22 may be a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor or other data Processing chip in some embodiments, and is used to execute program codes stored in the memory 21 or process data, such as executing a flexible load intelligent control program.
In the present embodiment, the communication bus 23 is used to realize connection communication between these components. The network interface 24 may include a standard wired interface, a wireless interface (e.g., a WI-FI interface), and is typically used to establish a communication link between the zone server 20 and other electronic devices.
In this implementation, the zone server 20 may further include a user interface, which may include a Display (Display), an input unit such as a Keyboard (Keyboard), and an optional user interface may also include a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the area server 20 and for displaying a visualized user interface.
While fig. 5 illustrates the zone server 20 with the components 21-24 and the flexible load intelligent control program, those skilled in the art will appreciate that the configuration shown in fig. 4 is not intended to be limiting of the zone server 20 and may include fewer or more components than those shown, or some components in combination, or a different arrangement of components.
In the embodiment of the zone server 20 shown in fig. 5, the memory 21 stores a flexible load intelligent control program; the processor 22, when executing the flexible load intelligent control program stored in the memory 21, implements the following steps:
step S1, acquiring load demand data collected by a plurality of load control terminals 30; the load demand data includes one or more of current data, voltage data, power factor and charge data based on a time series.
And step S2, sorting the load demand data based on the time sequence, and inputting the sorted load demand data into a time sequence prediction model to obtain flexible load prediction data.
And step S3, setting a load control time slice of each load control terminal according to the flexible load prediction data, and generating a load control terminal execution instruction of each load control terminal based on the load control time slice.
And step S4, sending the load control terminal execution instruction to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control.
Step S5, setting a load regulation feedback time segment according to the time sequence of the load control terminal execution instruction, and generating flexible load regulation data based on the load regulation feedback time segment;
and step S6, sending the flexible load regulation and control data to a preset control center 10.
Example 6:
on the basis of embodiment 5, referring to fig. 6, a schematic diagram of program modules of the flexible load intelligent control program in the embodiment of the area server 20 of the present invention is shown, in this embodiment, the flexible load intelligent control program may be divided into an obtaining module 101, a calculating module 102, a second setting module 103, an instruction generating module 104, and a sending module 105, and exemplarily:
an obtaining module 101, configured to obtain load demand data collected by multiple load control terminals 30; the load demand data includes one or more of current data, voltage data, power factor and charge data based on a time series.
And the calculating module 102 is configured to sort the load demand data based on the time sequence, and input the sorted load demand data into the time sequence prediction model to obtain flexible load prediction data.
And the second setting module 103 is used for setting the load control time slice of each load control terminal according to the flexible load prediction data.
And an instruction generating module 104, configured to generate a load control terminal execution instruction of each load control terminal based on the load control time slice.
And the sending module 105 sends the flexible load regulation and control data to a preset control center 10.
Further, the calculating module 102 is further configured to set a load regulation feedback time slice according to the time sequence of the instruction executed by the load control terminal 30, and generate flexible load regulation data based on the load regulation feedback time slice. The sending module 105 is further configured to send the load control terminal execution instruction to the load control terminal 30, so that the load control terminal 30 executes the load control terminal execution instruction to implement flexible load intelligent control.
The functions or operation steps implemented when the program modules such as the obtaining module 101, the calculating module 102, the second setting module 103, the instruction generating module 104, and the sending module 105 are executed are substantially the same as those in the above embodiments, and are not described herein again.
Example 7:
on the basis of embodiment 6, an embodiment of the present invention further provides a storage medium, where the storage medium is a computer-readable storage medium, and the storage medium stores a flexible load intelligent control program, where the flexible load intelligent control program is executable by one or more processors 22 to implement the following operations:
step S1, acquiring load demand data collected by a plurality of load control terminals 30; the load demand data includes one or more of current data, voltage data, power factor and charge data based on a time series.
And step S2, sorting the load demand data based on the time sequence, and inputting the sorted load demand data into a time sequence prediction model to obtain flexible load prediction data.
And step S3, setting a load control time slice of each load control terminal according to the flexible load prediction data, and generating a load control terminal execution instruction of each load control terminal based on the load control time slice.
And step S4, sending the load control terminal execution instruction to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control.
Step S5, setting a load regulation feedback time segment according to the time sequence of the load control terminal execution instruction, and generating flexible load regulation data based on the load regulation feedback time segment;
and step S6, sending the flexible load regulation and control data to a preset control center 10.
The specific implementation of the storage medium of the present invention is substantially the same as the embodiments of the flexible load intelligent control method and system, and is not described herein again.
Compared with the prior art, the flexible load intelligent control and system provided by the invention have the advantages that the load demand data is collected through the load control terminal 30, the regional server 20 finishes flexible load prediction according to the load demand data and sends the flexible load prediction to the load control terminal 30 to execute a control instruction according to the load control time segment, intelligent flexible load control is realized, the flexible load regulation and control potential of a user side is fully exerted, fine flexible load control on the user demand side is realized, and the flexible scheduling of the power grid capacity and the flexible demand of the user are met. Further, the flexible load regulation and control data is sent to the control center 10, so that the macro scheduling control of the flexible load is realized. Thereby meeting the macroscopic flexible load scheduling control.
It should be noted that the above-mentioned numbers of the embodiments of the present invention are merely for description, and do not represent the merits of the embodiments. And the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above, and includes instructions for enabling a terminal device (e.g., a drone, a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. An intelligent control method for an electric power flexible load is characterized by comprising the following steps:
acquiring load demand data acquired by a plurality of load control terminals; the load demand data comprises one or more of current data, voltage data, power factor and charge data based on a time series;
the load demand data are sorted based on the time sequence, and the sorted load demand data are input into a time sequence prediction model to obtain flexible load prediction data;
setting a load control time segment of each load control terminal according to the flexible load prediction data, and generating a load control terminal execution instruction of each load control terminal based on the load control time segment;
and sending the load control terminal execution instruction to the corresponding load control terminal so that the corresponding load control terminal executes the load control terminal execution instruction to realize flexible load intelligent control.
2. The intelligent control method for the electric power flexible load according to claim 1, characterized in that the intelligent control method further comprises:
setting a load regulation feedback time segment according to the time sequence of the load control terminal execution instruction, and generating flexible load regulation data based on the load regulation feedback time segment;
and sending the flexible load regulation and control data to a preset control center.
3. The intelligent control method for the electric power flexible load according to claim 1, wherein the load control terminal executes the instruction and comprises any one or more of closing control, power control, electric quantity control and time interval control on the demand side of the user load.
4. The intelligent control method for the electric power flexible load according to claim 1, wherein the time series prediction model is any one of an autoregressive model, a moving average model, an autoregressive moving average model and a differential autoregressive moving average model which are learned by a machine.
5. The intelligent control method for the electric power flexible load according to claim 1, wherein the setting of the load control time slice of each load control terminal according to the flexible load prediction data specifically comprises:
and setting a data change rate threshold according to the flexible load prediction data, and setting a load control time segment of each load control terminal according to the data change rate threshold.
6. The intelligent control method for the electric power flexible load according to claim 2, wherein the flexible load regulation and control data comprises a flexible load type, a flexible load priority, a flexible load peak time period, a flexible load valley time period and a flexible load flat time period; the flexible load types include large industrial user flexible loads, commercial user flexible loads, and residential user flexible loads.
7. An intelligent control system for an electric power flexible load, the intelligent control system comprising: the system comprises a control center, at least one area server and a plurality of load control terminals; the control center is connected with the regional servers and is used for controlling the regional servers according to a preset flexible load scheduling plan mode; each regional server is connected with a plurality of load control terminals and is used for receiving load demand data sent by the load control terminals and executing the intelligent control method of any one of claims 1 to 6 to realize intelligent control on the load control terminals; the load control terminal is used for collecting load demand data and executing a load control terminal execution instruction sent by the regional server.
8. The intelligent control system for electric power flexible loads according to claim 7, characterized in that the scheduling plan mode of the flexible loads comprises any one or more of a power price-based mode, a contractual agreement-based mode, a demand-side bid-based mode, an orderly power utilization-based mode, a standby plan participation-based mode and a frequency control participation-based mode.
9. The intelligent control system for the electric power flexible load according to claim 7, wherein the load control terminal comprises a control module, an acquisition module, a setting module, a load control module, a communication module and a power supply module; the acquisition module, the setting module, the load control module, the communication module and the power supply module are respectively connected with the control module; the load control terminal is arranged at a user side, and the acquisition module is used for acquiring load demand data of a user side load and sending the load demand data to a regional service through the communication module; the setting module is used for realizing the system and parameter setting of the load control terminal by the regional server; the load control module is used for executing a load control terminal execution instruction issued by the regional server; the communication module comprises any one of a narrow-band Internet of things, Bluetooth, wireless Wifi and RS 484; the power supply module is an independent three-phase power supply module.
10. A storage medium storing a computer program comprising a flexible load intelligent control program which, when executed by a processor, implements a flexible load intelligent control method according to any one of claims 1 to 6.
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