CN110097263A - The equipment of integrated energy system regulates and controls method and device - Google Patents
The equipment of integrated energy system regulates and controls method and device Download PDFInfo
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Abstract
The invention discloses a kind of equipment of integrated energy system regulation method, apparatus, computer readable storage medium and electronic equipment, method includes: the objective function for being up to target with efficiency for constructing integrated energy system；The corresponding multiple historical datas of at least one uncertain factor institute for influencing integrated energy system are obtained, and the corresponding interval parameter model of each uncertain factor institute is determined according to each historical data；According to each uncertain factor corresponding interval parameter model, integrated energy system at least one system operation constraint and integrated energy system at least one equipment at least one equipment run constraint, algorithm optimization objective function is converted using confidence level, determines the distributed area of the operation power of each equipment in integrated energy system；Each equipment is regulated and controled according to the distributed area of the operation power of each equipment.According to the technical solution of the present invention, the efficiency of integrated energy system can be improved.
Description
Technical field
The present invention relates to the equipment of energy field more particularly to integrated energy system to regulate and control method and device.
Background technique
Integrated energy system is the important directions of Energy restructuring, it usually needs according to practical business scene to comprehensive energy
Each equipment in the system of source is regulated and controled.
Currently, being mainly that integrated energy system configures corresponding energy scheduling model with energy data by multiple history, ask
The energy scheduling model is solved with the optimum operation power of each equipment of determination, according to the optimum operation power to integrated energy system
In each equipment regulated and controled.
But there are multiple uncertain factors (photovoltaic power output and load power) in integrated energy system, these are uncertain
The scheduling that factor may result in the energy in integrated energy system has greatly changed, and then causes the operation power of equipment can
It can have greatly changed, it therefore, may when regulating and controlling through the above way to each equipment in integrated energy system
The efficiency that will lead to integrated energy system reduces.
Summary of the invention
The present invention provides a kind of equipment of integrated energy system regulation method, apparatus, computer readable storage medium and
The efficiency of integrated energy system can be improved in electronic equipment.
In a first aspect, the present invention provides a kind of equipment of integrated energy system to regulate and control method, comprising:
Construct the objective function for being up to target with efficiency of the integrated energy system；
The corresponding multiple historical datas of at least one uncertain factor institute for influencing the integrated energy system are obtained,
And the corresponding interval parameter model of each uncertain factor institute is determined according to each historical data；
According to each uncertain factor corresponding interval parameter model, the integrated energy system at least
At least one equipment of at least one equipment runs constraint in one system operation constraint and the integrated energy system, using setting
Reliability converts objective function described in algorithm optimization, determines point of the operation power of each equipment in the integrated energy system
Cloth section；
According to the distributed area of the operation power of each equipment, each equipment is regulated and controled.
Preferably,
It is described that the corresponding interval parameter mould of each uncertain factor institute is determined according to each historical data
Type, comprising:
For each uncertain factor, multiple historical datas according to corresponding to the uncertain factor are determined
Lower limit value and upper limit value, and interval parameter corresponding to the uncertain factor is determined according to the lower limit value and the upper limit value
Model.
Preferably,
The historical datas multiple according to corresponding to the uncertain factor determine lower limit value and upper limit value, packet
It includes:
According to pre-set confidence level and multiple historical datas, determine corresponding to multiple historical datas
The minimum value of the confidence interval is determined as the lower limit value of the uncertain factor by confidence interval, by the confidence interval
Maximum value is determined as the upper limit value of the uncertain factor.
Preferably,
It is described according to each uncertain factor corresponding interval parameter model, the integrated energy system
At least one equipment of at least one equipment runs constraint, benefit at least one system operation constraint and the integrated energy system
The objective function described in confidence level transformation algorithm optimization, determines the operation power of each equipment in the integrated energy system
Distributed area, comprising:
For each interval parameter model, the confidence of the uncertain factor in the interval parameter model is determined
Degree, and the being determined property of interval parameter model is converted according to the confidence level, obtain certainty constraint；
It is constrained according to each certainty constraint, at least one system operation of the integrated energy system and described comprehensive
At least one equipment for closing at least one equipment in energy resource system runs constraint, optimizes the objective function with the determination synthesis
The distributed area of the operation power of each equipment in energy resource system.
Second aspect, the present invention provides a kind of equipment regulation devices of integrated energy system, comprising:
Function determination module, for constructing the objective function for being up to target with efficiency of the integrated energy system；
Model determining module, for obtain influence the integrated energy system at least one uncertain factor institute it is right respectively
The multiple historical datas answered, and the corresponding section of each uncertain factor institute is determined according to each historical data
Parameter model；
Module is solved, for according to the corresponding interval parameter model of each uncertain factor institute, the synthesis
At least one equipment of at least one equipment at least one system operation constraint of energy resource system and the integrated energy system
Operation constraint determines each in the integrated energy system described set using objective function described in confidence level transformation algorithm optimization
The distributed area of standby operation power；
Regulate and control module, for the distributed area according to the operation power of each equipment, to each described
Equipment is regulated and controled.
Preferably,
The model determining module, for being directed to each uncertain factor, according to corresponding to the uncertain factor
Multiple historical datas determine lower limit value and upper limit value, and according to the lower limit value and the upper limit value determine it is described not really
Determine interval parameter model corresponding to factor.
Preferably,
The model determining module, for according to pre-set confidence level and multiple historical datas, determination to be more
Confidence interval corresponding to a historical data, the minimum value of the confidence interval is determined as under the uncertain factor
The maximum value of the confidence interval is determined as the upper limit value of the uncertain factor by limit value.
Preferably,
The solution module, comprising: converting unit and solution unit；Wherein,
The converting unit determines the institute in the interval parameter model for being directed to each interval parameter model
The confidence level of uncertain factor is stated, and the being determined property of interval parameter model is converted according to the confidence level, is obtained really
Qualitative constraint；
The solution unit, for being according at least one of each certainty constraint, the integrated energy system
At least one equipment of at least one equipment runs constraint in system operation constraint and the integrated energy system, optimizes the target
Function is with the distributed area of the operation power of each equipment in the determination integrated energy system.
The third aspect, the present invention provides a kind of computer readable storage mediums, including execute instruction, when electronic equipment
When executing instruction described in processor execution, the processor executes the method as described in any in first aspect.
Fourth aspect, the present invention provides a kind of electronic equipment, including processor and are stored with the storage executed instruction
Device, when executing instruction described in the processor executes memory storage, the processor is executed as in first aspect
Any method.
The present invention provides a kind of equipment of integrated energy system regulation method, apparatus, computer readable storage medium and
Then electronic equipment, this method obtain influence by constructing the objective function for being up to target with efficiency of integrated energy system
The corresponding multiple historical datas of one or more uncertain factors institute of integrated energy system, and according to each historical data
Determine that the corresponding interval parameter model of each uncertain factor institute is respectively corresponded according to each uncertain factor later
Interval parameter model, integrated energy system one or more systems operation constraint and integrated energy system in it is one or more
One or more equipment of equipment run constraint, convert algorithm optimization objective function using confidence level, determine integrated energy system
In each equipment operation power distributed area, obtained distributed area be pass through objective function, each system operation constraint
And each equipment operation constraint has comprehensively considered the uncertain factor for influencing integrated energy system, therefore, when according to each equipment
The distributed area of operation power when regulating and controlling to each equipment, the efficiency of integrated energy system can be improved.
Further effect possessed by above-mentioned non-usual preferred embodiment adds hereinafter in conjunction with specific embodiment
With explanation.
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 that a kind of equipment for integrated energy system that one embodiment of the invention provides regulates and controls the flow diagram of method；
Fig. 2 is a kind of structural schematic diagram of the equipment regulation device for integrated energy system that one embodiment of the invention provides；
Fig. 3 is the structural representation of the equipment regulation device for another integrated energy system that one embodiment of the invention provides
Figure；
Fig. 4 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 described in Figure 1, the embodiment of the invention provides a kind of equipment of integrated energy system to regulate and control method, including following each
A step:
Step 101, the objective function for being up to target with efficiency of the integrated energy system is constructed；
Step 102, at least one uncertain factor institute for obtaining the influence integrated energy system is corresponding multiple
Historical data, and the corresponding interval parameter mould of each uncertain factor institute is determined according to each historical data
Type；
Step 103, according to the corresponding interval parameter model of each uncertain factor institute, the comprehensive energy system
At least one equipment of at least one equipment is run about at least one system operation constraint of system and the integrated energy system
Beam determines the fortune of each equipment in the integrated energy system using objective function described in confidence level transformation algorithm optimization
The distributed area of row power；
Step 104, according to the distributed area of the operation power of each equipment, to each equipment into
Row regulation.
Embodiment as shown in Figure 1, the target for being up to target with efficiency that this method passes through building integrated energy system
Then function obtains the corresponding multiple historical datas of one or more uncertain factors institute for influencing integrated energy system,
And the corresponding interval parameter model of each uncertain factor institute is determined according to each historical data, later, according to it is each not
Determine factor corresponding interval parameter model, one or more systems operation constraint of integrated energy system and comprehensive energy
One or more equipment of one or more equipment run constraint in the system of source, convert algorithm optimization target letter using confidence level
Number determines that the distributed area of the operation power of each equipment in integrated energy system, obtained distributed area are to pass through target letter
Several, each system operation constraint and the operation constraint of each equipment have comprehensively considered the uncertain factor for influencing integrated energy system,
Therefore, when regulating and controlling according to the distributed area of the operation power of each equipment to each equipment, comprehensive energy system can be improved
The efficiency of system.
It should be noted that the efficiency of integrated energy system refers specifically within the set duration, in integrated energy system
Supply the ratio of the energy of user and the energy of actual consumption.
Specifically, the operation power of the equipment is regulated and controled in the distributed area corresponding to equipment.
In the above-described embodiments, user can determine that objective function, the operation of each system constrain, are each according to actual needs
Equipment operation constraint and each interval parameter model.
It is described to determine that each uncertain factor is divided according to each historical data in one embodiment of the invention
Not corresponding interval parameter model, comprising:
For each uncertain factor, multiple historical datas according to corresponding to the uncertain factor are determined
Lower limit value and upper limit value, and interval parameter corresponding to the uncertain factor is determined according to the lower limit value and the upper limit value
Model.
Specifically, without considering the relationship between multiple historical datas corresponding to uncertain factor, directly pass through determination
Maximum value (i.e. upper limit value) and minimum value (i.e. lower limit value) in multiple historical datas corresponding to uncertain factor, and then basis
The maximum value and minimum value determine interval parameter model corresponding to uncertain factor, and above method modeling is simple and to history number
According to dependence it is smaller, subsequently through corresponding to maximum value (i.e. upper limit value), minimum value (i.e. lower limit value) and uncertain factor
Confidence level can convert being determined property of interval parameter model.
Specifically, may exist inequality relation between the corresponding interval parameter model of two uncertain factor institutes,
For example, the corresponding section of interval parameter model corresponding to uncertain factor Y is greater than section corresponding to uncertain factor y1
Section corresponding to parameter model.
For example, the interval parameter model [M] of uncertain factor M±=[M-,M+], wherein M-Indicate uncertain factor M
Lower limit value, M+Indicate that the upper limit value of uncertain factor M, the corresponding confidence level of uncertain factor M are λM, then to uncertain factor M
Corresponding interval parameter model [M]±=[M-,M+] certainty be converted to [M]±=M-λM+M+(1-λM)；Assuming that it is uncertain because
The corresponding confidence level of plain m is λmIf the interval parameter model [m] of uncertain factor m±=[m-,m+], wherein m-Indicate uncertain
Lower limit value, the m of factor m+Indicate the upper limit value of uncertain factor m, [m-,m+] it is less than [M-,M+], then to the area of uncertain factor m
Between parameter model [m]±<[M-,M+] certainty be converted to [m]±≤M-λm+M+(1-λm), if the interval parameter of uncertain factor m
Model is [m]±<[M-,M+], then to interval parameter model [m] corresponding to uncertain factor m±<[M-,M+] certainty conversion
For [m]±≥M+λm+M-(1-λm)。
It should be noted that uncertain factor can specifically include any one in irradiation level, electric load and thermic load
Or it is multiple.
In one embodiment of the invention, the historical datas multiple according to corresponding to the uncertain factor are determined
Lower limit value and upper limit value, comprising:
According to pre-set confidence level and multiple historical datas, determine corresponding to multiple historical datas
The minimum value of the confidence interval is determined as the lower limit value of the uncertain factor by confidence interval, by the confidence interval
Maximum value is determined as the upper limit value of the uncertain factor.
In the embodiment, multiple historical datas corresponding to uncertain factor can be distributed in a certain numerical intervals, only
Small part historical data can deviate the numerical intervals, and the frequency for deviateing the historical data appearance of the numerical intervals is relatively low, and
It is excessive or too small relative to other historical datas, at this point, the reference value of the historical data is relatively small, can be gone through according to each
History data determine a confidence level, are the reasonable value that can determine that each historical data should be affiliated by the confidence level
Section (confidence interval i.e. under certain confidence level), at this point, can be by minimum value (the i.e. confidence in the reasonable value section
The minimum value in section) it is determined as the lower limit value of uncertain factor, (i.e. confidence interval is most for maximum value in the reasonable value section
Big value) it is determined as the upper limit value of uncertain factor, at this point, the reference value of the lower limit value and the upper limit value is relatively large, it is subsequent,
Then interval parameter model corresponding to uncertain factor can be determined according to the lower limit value and the upper limit value, so that it is guaranteed that the section
Parameter model has relatively large reference value.
It should be noted that confidence level need multiple historical datas according to corresponding to uncertain factor distribution situation into
Row setting, usually can be any percentage in 90%~99%, and optimal confidence level is 95%.
It is described according to the corresponding interval parameter mould of each uncertain factor institute in one embodiment of the invention
Type, at least one system of the integrated energy system operation constraint and the integrated energy system at least one equipment extremely
Few equipment operation constraint is determined in the integrated energy system using objective function described in confidence level transformation algorithm optimization
The distributed area of the operation power of each equipment, comprising:
For each interval parameter model, the confidence of the uncertain factor in the interval parameter model is determined
Degree, and the being determined property of interval parameter model is converted according to the confidence level, obtain certainty constraint；
It is constrained according to each certainty constraint, at least one system operation of the integrated energy system and described comprehensive
At least one equipment for closing at least one equipment in energy resource system runs constraint, optimizes the objective function with the determination synthesis
The distributed area of the operation power of each equipment in energy resource system.
Specifically, by taking a determining factor, the operation constraint of system as an example, for directly include uncertain factor or/
Constraint is run with the system indirectly including uncertain factor, by qualitative constraint is directly substituted into system really corresponding to uncertain factor
Operation constraint；It herein, indirectly include that uncertain factor refers specifically to that there are direct function relationships with uncertain factor.
It should be noted that the value interval of confidence level is [0,1], because considering the risk information and subjectivity meaning of policymaker
Know, therefore introduce confidence level, confidence level indicates the risk that management and running decision is born, and when confidence level is equal to 0, policymaker inclines
To the upper limit value in interval parameter model, when confidence level is equal to 1, policymaker tends to the lower limit in interval parameter model
Value tends to the uncertainty for reducing interval parameter model.
It should also be noted that, the maximum value in the distributed area of operation power is to optimize most after considering uncertain factor
Bad situation or least ideal situation, run the minimum value in the distributed area of power be consider uncertain factor after optimize it is best
Situation or most ideal situation.
Based on design identical with embodiment of the present invention method, referring to FIG. 2, the embodiment of the invention also provides a kind of comprehensive
Close the equipment regulation device of energy resource system, comprising:
Function determination module 201, for constructing the objective function for being up to target with efficiency of the integrated energy system；
Model determining module 202 influences at least one uncertain factor of the integrated energy system and divides for obtaining
Not corresponding multiple historical datas, and determine that each uncertain factor institute is corresponding according to each historical data
Interval parameter model；
Module 203 is solved, for according to the corresponding interval parameter model of each uncertain factor institute, described comprehensive
At least one of at least one equipment at least one system operation constraint and the integrated energy system of energy resource system is closed to set
The constraint of received shipment row is determined each described in the integrated energy system using objective function described in confidence level transformation algorithm optimization
The distributed area of the operation power of equipment；
Regulate and control module 204, for the distributed area according to the operation power of each equipment, to each institute
Equipment is stated to be regulated and controled.
In one embodiment of the invention, the model determining module 202, for being directed to each uncertain factor, root
Determine lower limit value and upper limit value according to multiple historical datas corresponding to the uncertain factor, and according to the lower limit value and
The upper limit value determines interval parameter model corresponding to the uncertain factor.
In one embodiment of the present of invention, the model determining module 202, for according to pre-set confidence level and
Multiple historical datas determine confidence interval corresponding to multiple historical datas, by the minimum value of the confidence interval
It is determined as the lower limit value of the uncertain factor, the maximum value of the confidence interval is determined as to the upper limit of the uncertain factor
Value.
Referring to FIG. 3, in one embodiment of the invention, the solution module 203, comprising: converting unit 2031 and solution
Unit 2032；Wherein,
The converting unit 2031 determines in the interval parameter model for being directed to each interval parameter model
The uncertain factor confidence level, and the being determined property of interval parameter model is converted according to the confidence level, is obtained
It is constrained to certainty；
The solution unit 2032, for according at least the one of each certainty constraint, the integrated energy system
At least one equipment of at least one equipment, which is run, in a system operation constraint and the integrated energy system constrains, described in optimization
Objective function is with the distributed area of the operation power of each equipment in the determination integrated energy system.
Fig. 4 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.In hardware view, the electronic equipment
Including processor 401 and it is stored with the memory 402 executed instruction, optionally further comprising internal bus 403 and network interface
404.Wherein, memory 402 may include memory 4021, such as high-speed random access memory (Random-Access
Memory, RAM), it is also possible to it further include nonvolatile memory 4022 (non-volatile memory), for example, at least 1 magnetic
Disk storage etc.；Processor 401, network interface 404 and memory 402 can be connected with each other by internal bus 403, inside this
Bus 403 can be ISA (Industry Standard Architecture, industry standard architecture) bus, PCI
(Peripheral Component Interconnect, Peripheral Component Interconnect standard) bus or EISA (Extended
Industry Standard Architecture, expanding the industrial standard structure) bus etc.；The internal bus 403 can divide
For address bus, data/address bus, control bus etc., only to be indicated with a four-headed arrow in Fig. 4, but not table convenient for indicating
Show only a bus or a type of bus.Certainly, which is also possible that hardware required for other business.
When processor 401 executes when executing instruction of the storage of memory 402, processor 401 is executed in any one embodiment of the invention
The method, and at least for executing method as shown in Figure 1.
In a kind of mode in the cards, processor reads corresponding execute instruction to interior from nonvolatile memory
It is then run in depositing, can also obtain from other equipment and execute instruction accordingly, to form a kind of comprehensive energy on logic level
The equipment regulation device of source system.What processor execution memory was stored executes instruction, to execute instruction reality by what is executed
A kind of equipment regulation method of the integrated energy system provided in existing any embodiment of the present invention.
Processor may be a kind of IC chip, the processing capacity with signal.During realization, the above method
Each step can be completed by the instruction of the integrated logic circuit of the hardware in processor or software form.Above-mentioned processing
Device can be general processor, including central processing unit (Central Processing Unit, CPU), network processing unit
(Network Processor, NP) etc.；Can also be digital signal processor (Digital Signal Processor,
DSP), specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate
Array (Field-Programmable GateArray, FPGA) either other programmable logic device, discrete gate or crystal
Pipe logical device, discrete hardware components.It may be implemented or execute the disclosed each method in the embodiment of the present invention, step and patrol
Collect block diagram.General processor can be microprocessor or the processor is also possible to any conventional processor etc..
The embodiment of the invention also provides a kind of computer readable storage mediums, including execute instruction, when electronic equipment
When executing instruction described in processor execution, the processor executes the method provided in any one embodiment of the invention.The electricity
Sub- equipment specifically can be electronic equipment as shown in Figure 4；Execute instruction be a kind of integrated energy system equipment regulation device
Corresponding computer program.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method or computer program product.
Therefore, the form that complete hardware embodiment, complete software embodiment or software and hardware combine can be used in the present invention.
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.
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.
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 equipment of integrated energy system regulates and controls method characterized by comprising
Construct the objective function for being up to target with efficiency of the integrated energy system；
Obtain the corresponding multiple historical datas of at least one uncertain factor institute for influencing the integrated energy system, and root
The corresponding interval parameter model of each uncertain factor institute is determined according to each historical data；
According to each uncertain factor corresponding interval parameter model, the integrated energy system at least one
At least one equipment of at least one equipment runs constraint in system operation constraint and the integrated energy system, utilizes confidence level
Objective function described in algorithm optimization is converted, determines the distributed area of the operation power of each equipment in the integrated energy system
Between；
According to the distributed area of the operation power of each equipment, each equipment is regulated and controled.
2. the method according to claim 1, wherein
It is described that the corresponding interval parameter model of each uncertain factor institute, packet are determined according to each historical data
It includes:
For each uncertain factor, multiple historical datas according to corresponding to the uncertain factor determine lower limit
Value and upper limit value, and interval parameter mould corresponding to the uncertain factor is determined according to the lower limit value and the upper limit value
Type.
3. according to the method described in claim 2, it is characterized in that,
The historical datas multiple according to corresponding to the uncertain factor determine lower limit value and upper limit value, comprising:
According to pre-set confidence level and multiple historical datas, confidence corresponding to multiple historical datas is determined
The minimum value of the confidence interval is determined as the lower limit value of the uncertain factor by section, by the maximum of the confidence interval
Value is determined as the upper limit value of the uncertain factor.
4. method according to any one of claims 1 to 3, which is characterized in that
It is described according to each uncertain factor corresponding interval parameter model, the integrated energy system at least
At least one equipment of at least one equipment runs constraint in one system operation constraint and the integrated energy system, using setting
Reliability converts objective function described in algorithm optimization, determines point of the operation power of each equipment in the integrated energy system
Cloth section, comprising:
For each interval parameter model, the confidence level of the uncertain factor in the interval parameter model is determined,
And the being determined property of interval parameter model is converted according to the confidence level, obtain certainty constraint；
According to each certainty constraint, at least one system operation constraint of the integrated energy system and the comprehensive energy
At least one equipment of at least one equipment runs constraint in the system of source, optimizes the objective function with the determination comprehensive energy
The distributed area of the operation power of each equipment in system.
5. a kind of equipment regulation device of integrated energy system characterized by comprising
Function determination module, for constructing the objective function for being up to target with efficiency of the integrated energy system；
Model determining module, for obtain influence the integrated energy system at least one uncertain factor institute it is corresponding
Multiple historical datas, and the corresponding interval parameter of each uncertain factor institute is determined according to each historical data
Model；
Module is solved, for according to the corresponding interval parameter model of each uncertain factor institute, the comprehensive energy
At least one equipment operation of at least one equipment at least one system operation constraint of system and the integrated energy system
Constraint determines each equipment in the integrated energy system using objective function described in confidence level transformation algorithm optimization
Run the distributed area of power；
Regulate and control module, for the distributed area according to the operation power of each equipment, to each equipment
Regulated and controled.
6. device according to claim 5, which is characterized in that
The model determining module is more according to corresponding to the uncertain factor for being directed to each uncertain factor
A historical data determines lower limit value and upper limit value, and according to the lower limit value and the upper limit value determine it is described it is uncertain because
Interval parameter model corresponding to element.
7. according to right want 6 described in device, which is characterized in that
The model determining module, for determining multiple institutes according to pre-set confidence level and multiple historical datas
Confidence interval corresponding to historical data is stated, the minimum value of the confidence interval is determined as to the lower limit of the uncertain factor
The maximum value of the confidence interval, is determined as the upper limit value of the uncertain factor by value.
8. according to the device any in claim 5 to 7, which is characterized in that
The solution module, comprising: converting unit and solution unit；Wherein,
The converting unit, for be directed to each interval parameter model, determine in the interval parameter model it is described not
It determines the confidence level of factor, and the being determined property of interval parameter model is converted according to the confidence level, obtain certainty
Constraint；
The solution unit, for being transported according at least one system of each certainty constraint, the integrated energy system
At least one equipment of at least one equipment runs constraint in row constraint and the integrated energy system, optimizes the objective function
With the distributed area of the operation power of each equipment in the determination integrated energy system.
9. a kind of computer readable storage medium, including execute instruction, executed when the processor of electronic equipment described in execute instruction
When, the processor executes the method as described in any in Claims 1-4.
10. a kind of electronic equipment including processor and is stored with the memory executed instruction, described in processor execution
When executing instruction described in memory storage, the processor executes the method as described in any in Claims 1-4.
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