CN117559439A - Intelligent control method and device based on AGC regulation and control and storage medium - Google Patents
Intelligent control method and device based on AGC regulation and control and storage medium 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
- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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Abstract
The embodiment of the specification provides an intelligent control method, device and storage medium based on AGC regulation, wherein the method comprises the following steps: receiving an AGC instruction; acquiring current unit power according to the time for receiving the AGC instruction; determining a difference value between the target power carried in the AGC command and the current unit power; according to the difference value, determining a power change curve of the unit from a preset database, wherein at least one preset power change curve is stored in the database; and controlling the operation of the energy storage battery according to the power change curve of the unit. The technical scheme provided by the application is used for solving the problem that the transmission signal in the prior art has delay.
Description
Technical Field
The present document relates to the field of AGC adjustment technologies, and in particular, to an intelligent control method, device and storage medium based on AGC adjustment.
Background
Energy storage battery systems have received attention as a solution to rapidly cope with the power demand. It has high charge and discharge rate, energy density, high efficiency, and long life.
After the power plant introduces the energy storage battery, the battery system and the electric power unit are operated cooperatively based on AGC (Automatic Generation Control, automatic power generation control).
However, when the unit participates in AGC regulation, transmission delay exists between a power grid issuing instruction and a power plant receiving signal, and different delays exist between a unit load signal and a power grid instruction signal acquired by an energy storage battery system in the power plant, so that the condition of overshoot or low response precision often occurs between the load response of the energy storage system and the actual load of the unit, and the regulation efficiency based on AGC is reduced.
Disclosure of Invention
In view of the above analysis, the present application aims to propose an intelligent control method, device and storage medium based on AGC regulation, so as to improve the regulation efficiency based on AGC.
In a first aspect, one or more embodiments of the present disclosure provide an intelligent control method based on AGC regulation, including:
receiving an AGC instruction;
acquiring current unit power according to the time of receiving the AGC command;
determining a difference value between the target power carried in the AGC command and the current unit power;
according to the difference value, determining a power change curve of the unit from a preset database, wherein at least one preset power change curve is stored in the database;
and controlling the operation of the energy storage battery according to the power change curve of the unit.
Further, the method further comprises:
acquiring a plurality of historical target powers and a plurality of historical current unit powers, wherein the historical target powers and the historical current unit powers are in one-to-one correspondence, and the historical target powers and the historical current unit powers correspond to the same historical moment;
respectively determining the historical difference value of each historical target power and the corresponding historical current unit power;
determining a plurality of power change curves according to the historical difference values and the historical current unit power;
the plurality of power profiles are stored in the database.
Further, the determining a plurality of power change curves according to each historical difference value and each historical current unit power includes:
classifying the plurality of historical current unit powers according to the historical difference values, wherein each historical difference value corresponds to one class;
determining a power change data set in a preset period according to the historical moment corresponding to the historical current unit power aiming at each historical current unit power in each class;
and determining a power change curve corresponding to the corresponding historical difference value according to each power change data set.
Further, the determining a power change curve of the unit according to the difference value from a preset database includes:
determining, in the database, a historical difference value that is the same as the difference value;
and determining a corresponding power change curve as the power change curve of the unit according to the determined historical difference value.
Further, when there is no history difference identical to the difference, a minimum history difference is determined.
In a second aspect, an embodiment of the present application provides an intelligent control device based on AGC regulation, including:
the receiving module is used for receiving the AGC instruction;
the acquisition module is used for acquiring the current unit power according to the time for receiving the AGC command;
the data processing module determines a difference value between the target power carried in the AGC command and the current unit power; according to the difference value, determining a power change curve of the unit from a preset database, wherein at least one preset power change curve is stored in the database;
and the control module controls the operation of the energy storage battery according to the power change curve of the unit.
Further, the device also comprises a preprocessing module;
the preprocessing module is used for corresponding the historical current unit power one by one, and the historical target power and the historical current unit power correspond to the same historical moment; respectively determining the historical difference value of each historical target power and the corresponding historical current unit power; determining a plurality of power change curves according to the historical difference values and the historical current unit power; the plurality of power profiles are stored in the database.
Further, the data processing module is configured to classify the plurality of historical current unit powers according to the historical difference values, where each historical difference value corresponds to one of the classes; determining a power change data set in a preset period according to the historical moment corresponding to the historical current unit power aiming at each historical current unit power in each class; and determining a power change curve corresponding to the corresponding historical difference value according to each power change data set.
Further, the data processing module is used for determining a historical difference value which is the same as the difference value in the database; and determining a corresponding power change curve as the power change curve of the unit according to the determined historical difference value.
In a third aspect, embodiments of the present application provide a storage medium, including:
for storing computer-executable instructions which, when executed, implement the method of any of the first aspects.
Compared with the prior art, the application can at least realize the following technical effects:
the method and the device directly determine the power change curve of the unit based on the difference value between the target power carried in the AGC instruction and the current unit power, and directly control the energy storage battery system according to the power change curve of the unit, so that the influence of signal transmission delay on the control effect is avoided.
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For a clearer description of one or more embodiments of the present description or of the solutions of the prior art, the drawings that are necessary for the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description that follow are only some of the embodiments described in the description, from which, for a person skilled in the art, other drawings can be obtained without inventive faculty.
Fig. 1 is a flowchart of an intelligent control method based on AGC regulation according to one or more embodiments of the present disclosure.
Detailed Description
In order to enable a person skilled in the art to better understand the technical solutions in one or more embodiments of the present specification, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the drawings in one or more embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one or more embodiments of the present disclosure without inventive faculty, are intended to be within the scope of the present disclosure.
In the prior art, when manufacturing a personalized shoe last, foot data is generally required to be acquired first and then brought into a preset shoe last model, however, the above manner generally has two problems:
aiming at the technical problems, the embodiment of the application provides an intelligent control method based on AGC regulation, which comprises the following steps:
and step 1, receiving an AGC instruction.
In the embodiment of the application, the AGC instruction is sent to the energy storage system by the unit, so in a practical scenario, the control system may be disposed in the energy storage system, so as to receive the AGC instruction.
And step 2, acquiring the current unit power according to the time of receiving the AGC command.
In the embodiment of the application, in order to ensure that the operation of the energy storage device is synchronous with the unit, the unit power corresponding to the time of receiving the AGC instruction is obtained to be the current power.
And step 3, determining a difference value between the target power carried in the AGC command and the current unit power.
In the embodiment of the application, the target power is carried in the AGC command. For example, the ACG carries 200W of power, i.e., the energy storage system is required to power the unit to change the unit power from the current power to 200W.
And 4, determining a power change curve of the unit from a preset database according to the difference value.
In the embodiment of the application, at least one preset power change curve is stored in a database. In order to realize step 4, the corresponding relation between the difference value and the power change curve is required to be determined in advance based on the historical data, specifically, a plurality of historical target powers and a plurality of historical current unit powers are obtained, the historical target powers and the historical current unit powers are in one-to-one correspondence, and the historical target powers and the historical current unit powers correspond to the same historical moment; respectively determining historical difference values of each historical target power and corresponding historical current unit power; determining a plurality of power change curves according to each historical difference value and each historical current unit power; a plurality of power profiles are stored in a database. By the method, the power change curve corresponding to the historical difference value can be obtained, so that the corresponding power change curve can be determined according to the current difference value.
In the embodiment of the application, according to each historical difference value and each historical current unit power, determining the specific excess of a plurality of power change curves is as follows:
classifying a plurality of historical current unit powers according to the historical difference values, wherein each historical difference value corresponds to a class;
determining a power change data set in a preset period according to the historical moment corresponding to the historical current unit power aiming at each historical current unit power in each class;
and determining a power change curve corresponding to the corresponding historical difference value according to each power change data set.
It should be noted that, when classifying according to the difference, the partial output values may be made approximately equal by controlling the accuracy. For example, one difference is 23.9 and the other is 24.1, both differences are approximately 24, so both differences are approximately equal, thus classifying the historical current unit power corresponding to both differences into one class. And determining the occurrence time of the historical current unit power according to each historical current unit power, and collecting power data generated 2 minutes after the time according to the step length of 0.2s to obtain a power change data set.
And 5, controlling the operation of the energy storage battery according to the power change curve of the unit.
In the embodiment of the application, the power change curve comprises the power change of the unit in a period of time, so that the energy storage battery can directly supply energy to the unit according to the power change curve without waiting for a subsequent instruction, and the influence of signal delay on the control efficiency is avoided.
To demonstrate the feasibility of the above solution, the present application gives the following examples, including the following steps:
and S11, acquiring load response data of the unit after receiving the AGC regulation command of the historical power grid, wherein the historical response data comprises unit power change and the difference between the AGC command and the current load.
In step S11, the unit operation data is collected in a specific data step length for a long history time, wherein the history operation data is the power data of the unit which receives the power grid AGC instruction and performs self-adjustment each time in the time period. The acquired data step size is for example 0.2s.
In step S11, the obtained historical operating data includes the time when the unit issues the AGC instruction in each time of receiving the scheduling of the grid AGC instruction, the target power carried by each AGC instruction, and the power response data change sequence corresponding to each time of issuing the AGC instruction. Wherein T is Issue i And indicating the issuing time of the ith power grid AGC command. P (P) Issue i Representing target power carried by ith power grid AGC instruction, P Run t Representing the power value of the t-th unit.
In step S11, the power response data change sequence corresponding to each AGC instruction is the power change in the current AGC instruction issuing period after the unit issues the AGC instruction. Wherein the AGC instruction issue average period is typically set to 2 minutes.
And step S12, determining a set of unit power changes corresponding to the intervals to which the differences belong based on the AGC command and the current load difference demand, and determining a fitting load change curve of the intervals to which all the differences belong based on the set of unit power changes.
In step S12, the AGC instruction and the current load difference requirement determine a set of unit power changes corresponding to the interval to which each difference value belongs, specifically: the difference between the unit power at each AGC command issuing time and the target power carried by the corresponding AGC command. After the set of unit power changes is obtained, the difference between the AGC command and the unit power at the moment of sending the AGC command is classified. The values of the difference values are classified into one type. Specifically:
ERRORi＝P issue i -P Actual i
Wherein P is Actual i Issuing instruction time T for indicating ith power grid AGC instruction Issue i And the unit power in time ERRORi represents the difference between the target power carried by the ith power grid AGC command and the unit power at the moment of issuing the AGC command.
The average period of the AGC command issuing is 2 minutes, so that the power response data change sequence corresponding to the AGC command is 600 power data sequences with the time interval of 0.2s within 2 minutes after the start of the issuing of each AGC command, and the set power change set corresponding to the interval to which each difference value belongs is determined by the AGC command and the current load difference requirement is as follows:
P ERROR1,1 ＝[P ERROR1,1,1 P ERROR1,1,2 ...P ERROR1,1,600 ]
P ERROR1,2 ＝[P ERROR1,2,1 P ERROR1,2,2 ...P ERROR1,2，600 ]
...
P ERROR1,k1 ＝[P ERROR1,k1,1 P ERROR1,k1,2 ...P ERROR1,k1，600 ]
P ERROR2,1 ＝[P ERROR2,2,1 P ERROR2,1,2 ...P ERROR2,1，600 ]
P ERROR2,2 ＝[P ERROR2,2,1 P ERROR2,2,2 ...P ERROR2,2，600 ]
...
P ERRORj,kj ＝[P ERRORj,kj,1 P ERRORj,kj,2 ...P ERRORj,kj,600 ]
wherein j is the difference ERROR between the AGC command and the unit power at the moment of issuing the AGC command i Packet numbering (i.e. multiple ERROR i When the values of (a) are the same, the same group is counted and numbered in sequence), and k is ERROR of the same group i At corresponding P ERRORj Sequence numbers in the packet. E.g. jth packet number P ERRORj Includes the difference ERROR between the AGC command with the same kj number and the unit power at the moment of the current AGC command i Kj difference values simultaneously correspond to kj AGC frequency modulation instructions, and the j power data sequence corresponding to the j group number is { P } ERRORj，1 ，P ERRORj，2 ，……，P ERRORj，kj }，P ERRORj，kj And the power data sequence of all items after the kj AGC frequency modulation command is issued in the j-th group is shown. P (P) ERRORj I.e. the power response data set corresponding to the j-th group.
Determining a set power change set corresponding to an interval to which each difference value belongs based on an AGC instruction and current load difference requirements, and determining a power change data sequence after issuing an AGC instruction of a power grid
P Actual variation 1,1 ＝[P ERROR1,1，1 P ERROR1,1,2 -P ERROR1 ,1，1...P ERROR1,1,600 -P ERROR1,1，1 ]
P Actual variation 1,2 ＝[P ERROR1,2，1 P ERROR1,2,2 -P ERROR1,2，1 ...P ERROR1,2,600 -P ERROR1,2，1 ]
...
P Actual variation 1, k1 ＝[P ERROR1,k1,1 P ERROR1,k1,2 -P ERROR1,k1，1 ...P ERROR1,k1,600 -P ERROR1,k1，1 ]
P Actual variation 2,1 ＝[P ERROR2,1，1 P ERROR2,1,2 -P ERROR2,1，1 ...P ERROR2,1,600 -P ERROR2,1，1 ]
P Actual variation 2,2 ＝[P ERROR2,2，1 P ERROR2,2,2 -P ERROR2,2，1 ...P ERROR2,2,600 -P ERROR2,2，1 ]
...
P Actual variation j, kj ＝[P ERRORj,kj,1 P ERRORj,kj,2 -P ERRORj,kj，1 ...P ERRORj,,kj,600 -P ERRORj,kj，1 ]
Based on the power change data sequence issued by the power grid AGC instruction, a fitting load change curve corresponding to each difference value is obtained through a fitting mode of a least square method.
And step S13, when the AGC command is obtained by the real-time running of the unit, the unit power at the current time of issuing the AGC command is obtained, and the difference between the target power carried by the AGC command and the unit power at the current time of issuing the AGC command is calculated.
In step S13, the current AGC instruction carrying target power may be expressed as P Issuing instructions . The unit power at the current time of issuing the AGC command can be expressed as P Actual machine set during issuing instruction 。
And S14, determining a fitting power change curve according to the power difference obtained in the step 13.
In the embodiment of the present application, the difference between the power difference obtained in step 13 and the power of the unit and the command at the time of issuing the AGC command last time is compared, if the difference is the same, the fitting power change curve corresponding to the same difference is used, and if the difference is not the same, the fitting power change curve corresponding to the minimum difference is applied.
And S15, calculating theoretical output of the energy storage battery based on the AGC instruction and the fitting power change curve so as to control the energy storage battery to respond.
In the embodiment of the application, starting from the issuing of a real-time power grid AGC command, for each time interval, calculating a difference value of the power grid AGC command value and the difference between the AGC command value and the current power to determine a fitting power change curve, and taking the difference value as the theoretical output power of the energy storage battery.
Taking the j group as an example, uploading the fitting power change curve corresponding to the j group to a power control unit of the energy storage battery as the actual power of the unit to participate in the output calculation.
Energy storage battery calculated output P Energy storage battery The method meets the following conditions:
P energy storage battery ＝P Issuing instructions -P Fitting a power variation curve j
Wherein P is Fitting a power variation curve j Fitting a power profile for the belonging group. For each time step after the power grid AGC command is issued, unit power change data of a corresponding time point is obtained from the fitting power change curve of the belonging group, the least square fitting is used as a predicted unit power curve, and then the difference is made with the power grid AGC command to obtain the output of the energy storage battery.
The embodiment of the application provides an intelligent control device based on AGC regulation and control, which comprises: the device comprises a receiving module, an acquisition module, a data processing module and a control module;
the receiving module is used for receiving the AGC instruction;
the acquisition module is used for acquiring the current unit power according to the time for receiving the AGC instruction;
the data processing module determines a difference value between the target power carried in the AGC command and the current unit power; according to the difference value, determining a power change curve of the unit from a preset database, wherein at least one preset power change curve is stored in the database;
and the control module controls the operation of the energy storage battery according to the power change curve of the unit.
In an embodiment of the present application, the apparatus further includes a preprocessing module;
the preprocessing module is used for corresponding the historical current unit power one by one, and the historical target power and the historical current unit power correspond to the same historical moment; respectively determining the historical difference value of each historical target power and the corresponding historical current unit power; determining a plurality of power change curves according to the historical difference values and the historical current unit power; the plurality of power profiles are stored in the database.
In this embodiment of the present application, the data processing module is configured to classify the plurality of historical current unit powers according to the difference value, where each historical difference value corresponds to one of the classes; determining a power change data set in a preset period according to the historical moment corresponding to the historical current unit power aiming at each historical current unit power in each class; and determining a power change curve corresponding to the corresponding historical difference value according to each power change data set.
In this embodiment, the data processing module is configured to determine, in the database, a historical difference value that is the same as the difference value; and determining a corresponding power change curve as the power change curve of the unit according to the determined historical difference value.
An embodiment of the present application provides a storage medium, including:
for storing computer-executable instructions that when executed implement the following flow:
the foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In the 30 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented by using "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but not just one of the hdds, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each unit may be implemented in the same piece or pieces of software and/or hardware when implementing the embodiments of the present specification.
One skilled in the relevant art will recognize that one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present description is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
One or more embodiments of the present specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The foregoing description is by way of example only and is not intended to limit the present disclosure. Various modifications and changes may occur to those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. that fall within the spirit and principles of the present document are intended to be included within the scope of the claims of the present document.
Claims (10)
1. An intelligent control method based on AGC regulation and control is characterized by comprising the following steps:
receiving an AGC instruction;
acquiring current unit power according to the time of receiving the AGC command;
determining a difference value between the target power carried in the AGC command and the current unit power;
according to the difference value, determining a power change curve of the unit from a preset database, wherein at least one preset power change curve is stored in the database;
and controlling the operation of the energy storage battery according to the power change curve of the unit.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the method further comprises the steps of:
acquiring a plurality of historical target powers and a plurality of historical current unit powers, wherein the historical target powers and the historical current unit powers are in one-to-one correspondence, and the historical target powers and the historical current unit powers correspond to the same historical moment;
respectively determining the historical difference value of each historical target power and the corresponding historical current unit power;
determining a plurality of power change curves according to the historical difference values and the historical current unit power;
the plurality of power profiles are stored in the database.
3. The method of claim 2, wherein the step of determining the position of the substrate comprises,
and determining a plurality of power change curves according to each historical difference value and each historical current unit power, wherein the power change curves comprise:
classifying the plurality of historical current unit powers according to the historical difference values, wherein each historical difference value corresponds to one class;
determining a power change data set in a preset period according to the historical moment corresponding to the historical current unit power aiming at each historical current unit power in each class;
and determining a power change curve corresponding to the corresponding historical difference value according to each power change data set.
4. The method of claim 3, wherein the step of,
and determining a power change curve of the unit from a preset database according to the difference value, wherein the power change curve comprises the following steps:
determining, in the database, a historical difference value that is the same as the difference value;
and determining a corresponding power change curve as the power change curve of the unit according to the determined historical difference value.
5. The method according to claim 4, wherein the method further comprises:
when there is no history difference identical to the difference, a history difference with the smallest is determined.
6. Intelligent control device based on AGC regulation and control, characterized by comprising: the device comprises a receiving module, an acquisition module, a data processing module and a control module;
the receiving module is used for receiving the AGC instruction;
the acquisition module is used for acquiring the current unit power according to the time for receiving the AGC command;
the data processing module determines a difference value between the target power carried in the AGC command and the current unit power; according to the difference value, determining a power change curve of the unit from a preset database, wherein at least one preset power change curve is stored in the database;
and the control module controls the operation of the energy storage battery according to the power change curve of the unit.
7. The apparatus of claim 6, further comprising a preprocessing module;
the preprocessing module is used for corresponding the historical current unit power one by one, and the historical target power and the historical current unit power correspond to the same historical moment; respectively determining the historical difference value of each historical target power and the corresponding historical current unit power; determining a plurality of power change curves according to the historical difference values and the historical current unit power; the plurality of power profiles are stored in the database.
8. The apparatus of claim 7, wherein the device comprises a plurality of sensors,
the data processing module is used for classifying the plurality of historical current unit powers according to the historical difference values, and each historical difference value corresponds to one class; determining a power change data set in a preset period according to the historical moment corresponding to the historical current unit power aiming at each historical current unit power in each class; and determining a power change curve corresponding to the corresponding historical difference value according to each power change data set.
9. The apparatus of claim 8, wherein the device comprises a plurality of sensors,
the data processing module is used for determining a historical difference value which is the same as the difference value in the database; and determining a corresponding power change curve as the power change curve of the unit according to the determined historical difference value.
10. A storage medium, comprising:
for storing computer-executable instructions which, when executed, implement the method of any one of claims 1 to 5.
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