CN109812927A - Family microgrid energy optimization method, device, readable medium and electronic equipment - Google Patents
Family microgrid energy optimization method, device, readable medium and electronic equipment Download PDFInfo
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- CN109812927A CN109812927A CN201910069372.2A CN201910069372A CN109812927A CN 109812927 A CN109812927 A CN 109812927A CN 201910069372 A CN201910069372 A CN 201910069372A CN 109812927 A CN109812927 A CN 109812927A
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Abstract
The invention discloses a kind of family microgrid energy optimization method, device, readable medium and electronic equipments, by the scene for predefining operation of air conditioner, to overcome the problems, such as that air-conditioning Energy Efficiency Ratio coefficient, building parameter are not easy to obtain in the affiliated building thermodynamical model of air-conditioning, determine the initial environment parameter under the scene.Under the Run-time scenario set, the operating power that air-conditioning is run in the initial environment parameter scene at least one continuous operating time section is obtained, to obtain the historical data of operation of air conditioner, for generating thermodynamical model parameter.According to the operating power of corresponding air-conditioning in the room temperature, outdoor temperature and each runing time section, data are carried out using genetic algorithm and are fitted to obtain thermodynamical model parameter.It can satisfy the different demands of user, and improve the accuracy and practicability of the scheduling of family micro-capacitance sensor.
Description
Technical field
The present invention relates to the computer technology application field of gas fired-boiler deaerator level controller more particularly to a kind of families
With microgrid energy optimization method, device, readable medium and electronic equipment.
Background technique
With the improvement of people's living standards, ratio of the air conditioner load in customer charge is gradually increasing, economically developed
Regional ratio has huge potentiality more than 40% in terms of Load Regulation.Air conditioner load is as main in resident
Load becomes the important object of family microgrid energy management, how to be optimized to family with microgrid energy, allows to full
The different demands of sufficient user, and the accuracy and practicability of the scheduling of family micro-capacitance sensor are improved, it is current urgent problem to be solved.
Summary of the invention
The present invention provides a kind of family microgrid energy optimization method, device, readable medium and electronic equipment, passes through acquisition
Air conditioner heat mechanics model parameter under different Run-time scenarios, training air-conditioning adaptive correction model, utilizes air-conditioning adaptive correction
Model formulates family microgrid energy optimisation strategy, can satisfy the different demands of user, and improves the scheduling of family micro-capacitance sensor
Accuracy and practicability.
In a first aspect, the present invention provides a kind of family microgrid energy optimization methods, comprising:
The initial environment parameter of operation of air conditioner is set, and the environmental parameter includes room temperature, outdoor temperature；
Obtain the work function that air-conditioning is run in the initial environment parameter scene at least one continuous operating time section
Rate；
According to the work function of corresponding air-conditioning in the room temperature, outdoor temperature and each runing time section
Rate carries out data and is fitted to obtain thermodynamical model parameter；
Obtain the environmental parameter delta data collection of different moments operation of air conditioner；
According to the environmental parameter delta data collection and the thermodynamical model parameter, air-conditioning setting temperature self-adaptation is established
Correction model carries out online adaptive amendment to air-conditioning setting temperature.
Preferably,
It is described to obtain the work that air-conditioning is run in the initial environment parameter scene at least one continuous operating time section
Make efficiency, comprising:
Obtain the refrigeration or heating capacity of the Energy Efficiency Ratio and fixed time air-conditioning of air-conditioning in the initial environment parameter scene；
According to the refrigeration or the ratio of heating capacity and the Energy Efficiency Ratio, air-conditioning is obtained in the initial environment parameter scene
The working efficiency of middle operation.
Preferably,
The work according to corresponding air-conditioning in the room temperature, outdoor temperature and each runing time section
The rate of doing work carries out data and is fitted to obtain thermodynamical model parameter, comprising:
By the room temperature, outdoor temperature and the corresponding air-conditioning work at least one continuous operating time section
Efficiency is as fitting data；
The fitting data is fitted using genetic algorithm, obtains thermodynamical model parameter；
According to the thermodynamical model parameter, ideal room temperature is determined.
Preferably,
It is described according to the environmental parameter delta data collection and the thermodynamical model parameter, establish air-conditioning setting temperature from
Correction model is adapted to, online adaptive amendment is carried out to air-conditioning setting temperature, comprising:
It calculates between the actual indoor temperature and the ideal room temperature that the environmental parameter delta data is concentrated
Difference；
It obtains under the actual room temperature environment, air-conditioning real time execution needs the temperature being arranged；
Construct the corresponding relationship between the difference and the temperature.
Preferably,
It is described according to the environmental parameter delta data collection and the thermodynamical model parameter, establish air-conditioning setting temperature from
Correction model is adapted to, online adaptive amendment is carried out to air-conditioning setting temperature, further includes:
According to the corresponding relationship between the difference and the temperature, the upper limit and air-conditioning setting of air-conditioning setting temperature are obtained
The lower limit of temperature；
The control action collection of setting air-conditioner temperature is determined according to the difference in continuous time period；
According to the environmental parameter delta data collection and control action collection to air-conditioning be arranged temperature self-adaptation correction model into
Row training.
Second aspect, the present invention provides a kind of family microgrid energies to optimize device, comprising:
Configuration processing module, for being arranged the initial environment parameter of operation of air conditioner, the environmental parameter include room temperature,
Outdoor temperature；
First obtains module, for obtaining at least one continuous operating time section air-conditioning in the initial environment parameter field
The operating power run in scape；
Data fitting module, for distinguishing according in the room temperature, outdoor temperature and each runing time section
The operating power of corresponding air-conditioning carries out data and is fitted to obtain thermodynamical model parameter；
Second obtains module, for obtaining the environmental parameter delta data collection of different moments operation of air conditioner；
Adaptive correction module, for building according to the environmental parameter delta data collection and the thermodynamical model parameter
Temperature self-adaptation correction model is arranged in vertical air-conditioning, carries out online adaptive amendment to air-conditioning setting temperature.
Preferably,
The adaptive correction module, comprising:
Computing unit, for calculating the actual indoor temperature and the ideal room that the environmental parameter delta data is concentrated
Difference between interior temperature；
Temperature adjustment control unit, for obtaining under the actual room temperature environment, air-conditioning real time execution needs the temperature being arranged；
Adaptive correction model training unit, for constructing the corresponding relationship between the difference and the temperature, to sky
Setting temperature self-adaptation correction model is adjusted to be trained.
Preferably,
The adaptive correction model training unit, for executing following steps:
According to the corresponding relationship between the difference and the temperature, the upper limit and air-conditioning setting of air-conditioning setting temperature are obtained
The lower limit of temperature；
The control action collection of setting air-conditioner temperature is determined according to the difference in continuous time period；
According to the environmental parameter delta data collection and control action collection to air-conditioning be arranged temperature self-adaptation correction model into
Row training.
The third aspect, the present invention provides a kind of readable mediums, including execute instruction, when the processor of electronic equipment executes
When described instruction, the electronic equipment executes the method as described in any in first aspect.
Fourth aspect, the present invention provides a kind of electronic equipment, comprising: processor, memory and bus；The memory
The processor is executed instruction for storage to connect with the memory by the bus, when electronic equipment operation,
The processor executes the described of the memory and executes instruction, so that the processor is executed as described in any in first aspect
Method.
The present invention provides a kind of family microgrid energy optimization method, device, readable medium and electronic equipments, by obtaining
The air conditioner heat mechanics model parameter under different Run-time scenarios is taken, training air-conditioning adaptive correction model is adaptively repaired using air-conditioning
Positive model formulates family microgrid energy optimisation strategy, can satisfy the different demands of user, and improve family and dispatched with micro-capacitance sensor
Accuracy and practicability.
Detailed description of the invention
It in order to illustrate the embodiments of the present invention more clearly or existing technical solution, below will be to embodiment or the prior art
Attached drawing needed in description is briefly described, it should be apparent that, the accompanying drawings in the following description is only in the present invention
The some embodiments recorded without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is a kind of flow diagram for family microgrid energy optimization method that one embodiment of the invention provides；
Fig. 2 is the structural schematic diagram that a kind of family microgrid energy that one embodiment of the invention provides optimizes device；
Fig. 3 is the structural schematic diagram for a kind of electronic equipment that one embodiment of the invention provides.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with specific embodiment and accordingly
Technical solution of the present invention is clearly and completely described in attached drawing.Obviously, described embodiment is only a part of the invention
Embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making wound
Every other embodiment obtained under the premise of the property made labour, shall fall within the protection scope of the present invention.
As shown in Figure 1, the embodiment of the invention provides a kind of family microgrid energy optimization methods, including
Step 101, the initial environment parameter of operation of air conditioner is set, and the environmental parameter includes room temperature, outdoor temperature.
Step 102, air-conditioning at least one continuous operating time section is obtained to run in the initial environment parameter scene
Operating power.
Step 103, according to corresponding air-conditioning in the room temperature, outdoor temperature and each runing time section
Operating power, carry out data be fitted to obtain thermodynamical model parameter.
Step 104, the environmental parameter delta data collection of different moments operation of air conditioner is obtained.
Step 105, according to the environmental parameter delta data collection and the thermodynamical model parameter, air-conditioning setting temperature is established
Adaptive correction model is spent, online adaptive amendment is carried out to air-conditioning setting temperature.
Embodiment as shown in Figure 1, this method by predefine operation of air conditioner scene, to overcome building belonging to air-conditioning
Air-conditioning Energy Efficiency Ratio coefficient, building parameter are not easy the problem of obtaining in thermodynamic model, determine to include Indoor Temperature under the scene
The initial environment parameter of the operation of air conditioner of the supplemental characteristics such as degree, outdoor temperature.Under the Run-time scenario set, at least one is obtained
The operating power that air-conditioning is run in the initial environment parameter scene in a continuous operating time section, to obtain operation of air conditioner
Historical data, for generating thermodynamical model parameter.According to the room temperature, outdoor temperature and each runing time section
The operating power of interior corresponding air-conditioning carries out data using genetic algorithm and is fitted to obtain thermodynamical model parameter.For example,
When formulating same day air-conditioning optimal setting temperature, the previous day is obtained not every 15 minutes air-conditioning work efficiency, temperature is constant indoors
In the case where, by outdoor temperature and air-conditioning work efficiency fitting data the most, accurate thermodynamics mould is obtained by being fitted structure
Shape parameter.On the basis for acquiring accurate thermodynamical model parameter, continue the environment for obtaining different moments operation of air conditioner
Parameters variation data set, including for environment dynamic changes such as indoor occupant activity, the changes of other cold and hot type load operating conditions
Room temperature data variation caused by factor, thus to obtain final environmental parameter delta data collection is arrived.Finally, according to the ring
Border Parameters variation data set and the thermodynamical model parameter are established air-conditioning setting temperature self-adaptation correction model, are set to air-conditioning
It sets temperature and carries out online adaptive amendment.
Air-conditioning at least one continuous operating time section is obtained in step 102 to run in the initial environment parameter scene
Working efficiency, by obtaining under default Run-time scenario, the operation datas such as Energy Efficiency Ratio, refrigeration or heating capacity of air-conditioning are determined
The working efficiency of air-conditioning, for obtaining the thermodynamical model parameter of air-conditioning.Specifically, step 102 includes:
Obtain the refrigeration or heating capacity of the Energy Efficiency Ratio and fixed time air-conditioning of air-conditioning in the initial environment parameter scene；
According to the refrigeration or the ratio of heating capacity and the Energy Efficiency Ratio, air-conditioning is obtained in the initial environment parameter scene
The working efficiency of middle operation.
In the embodiment, the refrigeration or heating capacity of air-conditioning can be obtained according to the variation of room parameter, for fixed frequency air conditioner
Or convertible frequency air-conditioner, the Energy Efficiency Ratio of air-conditioning can change with frequency of air condition compressor and be changed, it is therefore desirable within the continuous period,
Different moments obtain the refrigeration of air-conditioning or the Energy Efficiency Ratio of heating capacity and air-conditioning respectively, corresponding data set are constituted, then in basis
This data set calculates the ratio of each moment refrigeration or heating capacity and the Energy Efficiency Ratio, obtains air-conditioning in preset initial ring
The working efficiency run in the parameter scene of border.
In one embodiment of the invention, step 103 is according to the room temperature, outdoor temperature and each operation
The operating power of corresponding air-conditioning in period carries out data and is fitted to obtain thermodynamical model parameter, comprising:
By the room temperature, outdoor temperature and the corresponding air-conditioning work at least one continuous operating time section
Efficiency is as fitting data；
The fitting data is fitted using genetic algorithm, obtains thermodynamical model parameter；
According to the thermodynamical model parameter, ideal room temperature is determined.
After ideal room temperature has been determined, since indoor occupant activity, other cold and hot type load operating conditions change
Room temperature data variation caused by the environment dynamic change factors such as change obtains the environmental parameter variation of different moments operation of air conditioner
Data set.
On this basis, step 105 is established according to the environmental parameter delta data collection and the thermodynamical model parameter
Temperature self-adaptation correction model is arranged in air-conditioning, carries out online adaptive amendment to air-conditioning setting temperature, comprising:
It calculates between the actual indoor temperature and the ideal room temperature that the environmental parameter delta data is concentrated
Difference.
It obtains under the actual room temperature environment, air-conditioning real time execution needs the temperature being arranged.
Construct the corresponding relationship between the difference and the temperature.
In order to establish accurate air-conditioner temperature adaptive correction model, further, following steps can also be passed through
Realize step 105:
According to the corresponding relationship between the difference and the temperature, the upper limit and air-conditioning setting of air-conditioning setting temperature are obtained
The lower limit of temperature.
The control action collection of setting air-conditioner temperature is determined according to the difference in continuous time period.
According to the environmental parameter delta data collection and control action collection to air-conditioning be arranged temperature self-adaptation correction model into
Row training.
Based on design identical with embodiment of the present invention method, referring to FIG. 2, the embodiment of the invention provides a kind of family use
Microgrid energy optimizes device, comprising:
Configuration processing module 201, for the initial environment parameter of operation of air conditioner to be arranged, the environmental parameter includes Indoor Temperature
Degree, outdoor temperature.
First obtains module 202, joins for obtaining at least one continuous operating time section air-conditioning in the initial environment
The operating power run in number scene.
Data fitting module 203, for according in the room temperature, outdoor temperature and each runing time section points
The operating power of not corresponding air-conditioning carries out data and is fitted to obtain thermodynamical model parameter.
Second obtains module 204, for obtaining the environmental parameter delta data collection of different moments operation of air conditioner；
Adaptive correction module 205 is used for according to the environmental parameter delta data collection and the thermodynamical model parameter,
Air-conditioning setting temperature self-adaptation correction model is established, online adaptive amendment is carried out to air-conditioning setting temperature.
In a preferred embodiment of the present invention, the adaptive correction module 205, comprising:
Computing unit 251, for calculating the actual indoor temperature and the ideal that the environmental parameter delta data is concentrated
Room temperature between difference.
Temperature adjustment control unit 252, for obtaining under the actual room temperature environment, air-conditioning real time execution needs the temperature being arranged
Degree.
Adaptive correction model training unit 253, it is right for constructing the corresponding relationship between the difference and the temperature
Air-conditioning setting temperature self-adaptation correction model is trained.
In a preferred embodiment of the present invention, the adaptive correction model training unit 253, for executing following step
It is rapid:
According to the corresponding relationship between the difference and the temperature, the upper limit and air-conditioning setting of air-conditioning setting temperature are obtained
The lower limit of temperature；
The control action collection of setting air-conditioner temperature is determined according to the difference in continuous time period；
According to the environmental parameter delta data collection and control action collection to air-conditioning be arranged temperature self-adaptation correction model into
Row training.
Fig. 3 is the structural schematic diagram of one embodiment of the present of invention electronic equipment.In hardware view, which includes
Processor, optionally further comprising internal bus, network interface, memory.Wherein, memory may include memory, such as high speed
Random access memory (Random-AccessMemory, RAM), it is also possible to further include nonvolatile memory (non-
Volatilememory), for example, at least 1 magnetic disk storage etc..Certainly, which is also possible that needed for other business
The hardware wanted.
Processor, network interface and memory can be connected with each other by internal bus, which can be ISA
(IndustryStandardArchitecture, industry standard architecture) bus, PCI (Peripheral Component
Interconnect, Peripheral Component Interconnect standard) bus or EISA (Extended Industry
StandardArchitecture, expanding the industrial standard structure) bus etc..It is total that the bus can be divided into address bus, data
Line, control bus etc..Only to be indicated with a four-headed arrow in Fig. 3, it is not intended that an only bus or one convenient for indicating
The bus of seed type.
Memory, for storing program.Specifically, program may include program code, and said program code includes calculating
Machine operational order.Memory may include memory and nonvolatile memory, and provide instruction and data to processor.
In a kind of mode in the cards, processor read from nonvolatile memory corresponding computer program to
It is then run in memory, corresponding computer program can also be obtained from other equipment, to form family on logic level with micro-
Power grid energy optimizes device.Processor executes the program that memory is stored, to realize that the present invention is any by the program executed
The family provided in embodiment microgrid energy optimization method.
The method that the above-mentioned family microgrid energy optimization device provided such as embodiment illustrated in fig. 2 of the present invention executes can answer
It is realized in processor, or by processor.Processor may be a kind of IC chip, the processing energy with signal
Power.During realization, each step of the above method can pass through the integrated logic circuit or software of the hardware in processor
The instruction of form is completed.Above-mentioned processor can be general processor, including central processing unit
(CentralProcessingUnit, CPU), network processing unit (NetworkProcessor, NP) etc.；It can also be digital letter
Number processor (DigitalSignalProcessor, DSP), specific integrated circuit (ApplicationSpecificIntegra
TedCircuit, ASIC), field programmable gate array (Field-ProgrammableGateArray, FPGA) or other
Programmable logic device, discrete gate or transistor logic, discrete hardware components.It may be implemented or execute and is of the invention real
Apply disclosed each method, step and the logic diagram in example.It is either any conventional that general processor can be microprocessor
Processor etc..
The step of method in conjunction with disclosed in the embodiment of the present invention, can be embodied directly in hardware decoding processor and execute
At, or in decoding processor hardware and software module combination execute completion.Software module can be located at random access memory,
This fields such as flash memory, read-only memory, programmable read only memory or electrically erasable programmable memory, register maturation
In storage medium.The storage medium is located at memory, and processor reads the information in memory, completes above-mentioned side in conjunction with its hardware
The step of method.
The embodiment of the present invention also proposed a kind of computer readable storage medium, the computer-readable recording medium storage one
A or multiple programs, the one or more program include instruction, which holds when by the electronic equipment including multiple application programs
When row, the electronic equipment can be made to execute the family microgrid energy optimization method provided in any embodiment of the present invention.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by the product with certain function.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play
It is any in device, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or these equipment
The combination of equipment.
For convenience of description, it describes to be divided into various units when apparatus above with function or module describes respectively.Certainly, exist
Implement to realize the function of each unit or module in the same or multiple software and or hardware when the present invention.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flashRAM).Memory is showing for computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method of element, commodity or equipment.
It will be understood by those skilled in the art that the embodiment of the present invention can provide as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the present invention
Form.It is deposited moreover, the present invention can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The present invention can describe in the general context of computer-executable instructions executed by a computer, such as program
Module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, programs, objects, group
Part, data structure etc..The present invention can also be practiced in a distributed computing environment, in these distributed computing environments, by
Task is executed by the connected remote processing devices of communication network.In a distributed computing environment, program module can be with
In the local and remote computer storage media including storage equipment.
Various embodiments are described in a progressive manner in the present invention, same and similar part between each embodiment
It may refer to each other, each embodiment focuses on the differences from other embodiments.Implement especially for system
For example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part illustrates.
The above description is only an embodiment of the present invention, is not intended to restrict the invention.For those skilled in the art
For, the invention may be variously modified and varied.All any modifications made within the spirit and principles of the present invention are equal
Replacement, improvement etc., should be included within scope of the presently claimed invention.
Claims (10)
1. a kind of family microgrid energy optimization method characterized by comprising
The initial environment parameter of operation of air conditioner is set, and the environmental parameter includes room temperature, outdoor temperature；
Obtain the operating power that air-conditioning is run in the initial environment parameter scene at least one continuous operating time section；
According to the operating power of corresponding air-conditioning in the room temperature, outdoor temperature and each runing time section,
Data are carried out to be fitted to obtain thermodynamical model parameter；
Obtain the environmental parameter delta data collection of different moments operation of air conditioner；
According to the environmental parameter delta data collection and the thermodynamical model parameter, establishes air-conditioning setting temperature self-adaptation and correct
Model carries out online adaptive amendment to air-conditioning setting temperature.
2. family according to claim 1 microgrid energy optimization method, which is characterized in that described to obtain at least one company
The working efficiency that air-conditioning is run in the initial environment parameter scene in the reforwarding row period, comprising:
Obtain the refrigeration or heating capacity of the Energy Efficiency Ratio and fixed time air-conditioning of air-conditioning in the initial environment parameter scene；
According to the refrigeration or the ratio of heating capacity and the Energy Efficiency Ratio, obtains air-conditioning and transported in the initial environment parameter scene
Capable working efficiency.
3. family according to claim 1 microgrid energy optimization method, which is characterized in that described according to the Indoor Temperature
The operating power of corresponding air-conditioning in degree, outdoor temperature and each runing time section carries out data and is fitted to obtain heat
Mechanical model parameter, comprising:
By the room temperature, outdoor temperature and the corresponding air-conditioning work efficiency at least one continuous operating time section
As fitting data；
The fitting data is fitted using genetic algorithm, obtains thermodynamical model parameter；
According to the thermodynamical model parameter, ideal room temperature is determined.
4. family according to claim 3 microgrid energy optimization method, which is characterized in that described to be joined according to the environment
Number delta data collection and the thermodynamical model parameter establish air-conditioning setting temperature self-adaptation correction model, temperature are arranged to air-conditioning
Degree carries out online adaptive amendment, comprising:
Calculate the difference between the actual indoor temperature and the ideal room temperature that the environmental parameter delta data is concentrated；
It obtains under the actual room temperature environment, air-conditioning real time execution needs the temperature being arranged；
Construct the corresponding relationship between the difference and the temperature.
5. family according to claim 4 microgrid energy optimization method, which is characterized in that described to be joined according to the environment
Number delta data collection and the thermodynamical model parameter establish air-conditioning setting temperature self-adaptation correction model, temperature are arranged to air-conditioning
Degree carries out online adaptive amendment, further includes:
According to the corresponding relationship between the difference and the temperature, temperature is arranged in the upper limit and air-conditioning for obtaining air-conditioning setting temperature
Lower limit；
The control action collection of setting air-conditioner temperature is determined according to the difference in continuous time period；
Air-conditioning setting temperature self-adaptation correction model is instructed according to the environmental parameter delta data collection and control action collection
Practice.
6. a kind of family optimizes device with microgrid energy, which is characterized in that described device includes:
Configuration processing module, for the initial environment parameter of operation of air conditioner to be arranged, the environmental parameter includes room temperature, outdoor
Temperature；
First obtains module, for obtaining at least one continuous operating time section air-conditioning in the initial environment parameter scene
The operating power of operation；
Data fitting module, for according to being respectively corresponded in the room temperature, outdoor temperature and each runing time section
Air-conditioning operating power, carry out data be fitted to obtain thermodynamical model parameter；
Second obtains module, for obtaining the environmental parameter delta data collection of different moments operation of air conditioner；
Adaptive correction module, for establishing empty according to the environmental parameter delta data collection and the thermodynamical model parameter
Setting temperature self-adaptation correction model is adjusted, online adaptive amendment is carried out to air-conditioning setting temperature.
7. a kind of family according to claim 6 optimizes device with microgrid energy, which is characterized in that the adaptive correction
Module, comprising:
Computing unit, for calculating the actual indoor temperature and the ideal Indoor Temperature that the environmental parameter delta data is concentrated
Difference between degree；
Temperature adjustment control unit, for obtaining under the actual room temperature environment, air-conditioning real time execution needs the temperature being arranged；
Adaptive correction model training unit sets air-conditioning for constructing the corresponding relationship between the difference and the temperature
Temperature self-adaptation correction model is set to be trained.
8. a kind of family according to claim 7 optimizes device with microgrid energy, which is characterized in that the adaptive correction
Model training unit, for executing following steps:
According to the corresponding relationship between the difference and the temperature, temperature is arranged in the upper limit and air-conditioning for obtaining air-conditioning setting temperature
Lower limit；
The control action collection of setting air-conditioner temperature is determined according to the difference in continuous time period；
Air-conditioning setting temperature self-adaptation correction model is instructed according to the environmental parameter delta data collection and control action collection
Practice.
9. a kind of readable medium, including execute instruction, when the processor of electronic equipment executes described instruction, the electronic equipment
Execute the method as described in any in claim 1 to 5.
10. a kind of electronic equipment, comprising: processor, memory and bus；The memory executes instruction the place for storing
Reason device is connect with the memory by the bus, and when electronic equipment operation, the processor executes the storage
The described of device executes instruction, so that the processor executes the method as described in any in claim 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910069372.2A CN109812927A (en) | 2019-01-24 | 2019-01-24 | Family microgrid energy optimization method, device, readable medium and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910069372.2A CN109812927A (en) | 2019-01-24 | 2019-01-24 | Family microgrid energy optimization method, device, readable medium and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109812927A true CN109812927A (en) | 2019-05-28 |
Family
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111442478A (en) * | 2020-03-10 | 2020-07-24 | 珠海派诺科技股份有限公司 | Air conditioning system optimization control method, intelligent terminal and storage device |
| CN112902406A (en) * | 2019-12-04 | 2021-06-04 | 佛山市云米电器科技有限公司 | Parameter setting method, device and computer readable storage medium |
| CN114562805A (en) * | 2020-11-27 | 2022-05-31 | 广东美的制冷设备有限公司 | Air conditioner, control method thereof and computer storage medium |
| WO2022110743A1 (en) * | 2020-11-27 | 2022-06-02 | 深圳比特微电子科技有限公司 | Method and apparatus for determining configuration parameter of data processing device, and storage medium |
| CN116447730A (en) * | 2023-06-09 | 2023-07-18 | 连云港凯瑞拓自动化科技有限公司 | Automatic control method and system for air conditioner |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112902406A (en) * | 2019-12-04 | 2021-06-04 | 佛山市云米电器科技有限公司 | Parameter setting method, device and computer readable storage medium |
| CN111442478A (en) * | 2020-03-10 | 2020-07-24 | 珠海派诺科技股份有限公司 | Air conditioning system optimization control method, intelligent terminal and storage device |
| CN114562805A (en) * | 2020-11-27 | 2022-05-31 | 广东美的制冷设备有限公司 | Air conditioner, control method thereof and computer storage medium |
| WO2022110743A1 (en) * | 2020-11-27 | 2022-06-02 | 深圳比特微电子科技有限公司 | Method and apparatus for determining configuration parameter of data processing device, and storage medium |
| CN114562805B (en) * | 2020-11-27 | 2024-03-29 | 广东美的制冷设备有限公司 | Air conditioner, control method thereof and computer storage medium |
| CN116447730A (en) * | 2023-06-09 | 2023-07-18 | 连云港凯瑞拓自动化科技有限公司 | Automatic control method and system for air conditioner |
| CN116447730B (en) * | 2023-06-09 | 2023-11-24 | 连云港凯瑞拓自动化科技有限公司 | Automatic control method and system for air conditioner |
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