CN109472407A - The dispatching method and terminal device of energy device - Google Patents
The dispatching method and terminal device of energy device Download PDFInfo
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Abstract
The present invention is suitable for energy device dispatching technique field, provides the dispatching method and terminal device of a kind of energy device, this method comprises: prediction energy supply demand；The multiple-energy-source operation reserve that user sends is obtained, the multiple-energy-source operation reserve is economic indicator principle of optimality, energy efficiency indexes principle of optimality or environmental index principle of optimality；Operation energy device and its power output are determined according to the energy supply demand and the multiple-energy-source operation reserve.The present invention can realize the scheduling to energy device with multiple-energy-source operation reserve according to the demand of user.
Description
Technical field
The invention belongs to the dispatching methods and terminal of energy device dispatching technique field more particularly to a kind of energy device to set
It is standby.
Background technique
Comprehensive energy service is a kind of novel energy services to meet terminal client diversification energy production and consumption
Mode.The variety of energy sources of comprehensive energy supply side include underground heat, air, wind-force, photovoltaic, energy storage distributed new energy and electricity,
The traditional energies such as natural gas, comprehensive energy Demand-side are mainly the demands such as the electric, hot and cold of multi-user, hot water.How the energy is set
It is standby to be scheduled, it meets the needs of users, is current urgent problem to be solved.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of dispatching method of energy device and terminal device, with solution pair
The problem of energy device is scheduled.
The first aspect of the embodiment of the present invention provides a kind of dispatching method of energy device, comprising: prediction energy supply
Demand；
The multiple-energy-source operation reserve that user sends is obtained, the multiple-energy-source operation reserve is economic indicator principle of optimality, energy
Imitate index principle of optimality or environmental index principle of optimality；
Operation energy device and its power output are determined according to the energy supply demand and the multiple-energy-source operation reserve.
In the first possible implementation, the prediction energy supply demand, comprising:
The object effects factor for influencing energy supply demand and its corresponding weight coefficient are obtained, according to the object effects
Factor obtains the object effects factor attribute of multiple history days and the object effects factor attribute of prediction day and the multiple goes through
The energy supply value of Shi；
According to the object effects factor attribute point of the object effects factor attribute of the multiple history day and the prediction day
The degree of correlation of each history day and the prediction day are not determined；
Choose the target histories day that the degree of correlation is greater than the first preset threshold；
Using the object effects factor attribute of the target histories day and energy supply value as sample is sent, with the target
The weight coefficient of influence factor determines the energy supply demand of prediction day by Weighted Support Vector as weight.
It is in the second possible implementation, described to be gone through according to the multiple in conjunction with the first possible implementation
The object effects factor attribute of Shi and it is described prediction day object effects factor attribute determine respectively each history day with it is described
Predict the degree of correlation of day, comprising:
According to the mapping relations of influence factor attribute and assignment, the object effects factor assignment of the multiple history day is determined
With the object effects factor assignment of the prediction day；
The object effects factor attribute of object effects factor attribute assignment to the history day and the prediction day respectively
Assignment is normalized；
According to expression formulaDetermine the degree of correlation sim of i-th of history day and prediction dayi,
In, bjIt is s for the weight coefficient of j-th of object effects factorijFor normalized i-th of history day j-th of object effects because
Plain assignment, s0jFor j-th of object effects factor assignment of normalized prediction day, m is object effects factor sum.
It is in the third possible implementation, described respectively to the history in conjunction with second of possible implementation
The object effects factor attribute assignment of day and the object effects factor attribute assignment of the prediction day are normalized, and wrap
It includes:
According to the mapping relations of influence factor attribute and assignment, the maximum assignment and minimum of the object effects factor are obtained
Assignment；
According to expression formulaObject effects factor assignment and the target shadow of prediction day to history day
Factor assignment is rung to be normalized；Wherein, s'AFor the assignment of the object effects factor A after normalization, sABefore normalization
Object effects factor A assignment, sA,minFor the minimum assignment of object effects factor A, sA,maxMost for object effects factor A
Big assignment.
In the fourth possible implementation, it is determined according to the energy supply demand and the multiple-energy-source operation reserve
Running equipment and its power output, comprising:
Obtain unit time operation income, primary energy utilization ratio and the unit time greenhouse gases row of each energy device
High-volume；
The economic optimum energy device that unit time operation income is greater than the second preset threshold is chosen, non-renewable energy benefit is chosen
It is greater than the optimal energy device of efficiency of third predetermined threshold value with rate, selects greenhouse gas emissions less than the ring of the 4th preset threshold
The optimal energy device in border；
When the multiple-energy-source operation reserve is economic indicator principle of optimality, the economic optimum energy device is run, and
According to the energy supply demand, its power output is determined；
When the multiple-energy-source operation reserve is energy efficiency indexes principle of optimality, the optimal energy device of the efficiency is run, and
According to the energy supply demand, its power output is determined；
When the multiple-energy-source operation reserve is environmental index principle of optimality, the optimal energy device of the environment is run, and
According to the energy supply demand, its power output is determined.
The second aspect of the embodiment of the present invention provides a kind of dispatching device of energy device, comprising:
Predicting unit, for predicting energy supply demand；
Acquiring unit, for obtaining the multiple-energy-source operation reserve of user's transmission, the multiple-energy-source operation reserve refers to for economy
Mark principle of optimality, energy efficiency indexes principle of optimality or environmental index principle of optimality；
Determination unit, for determining operation energy device according to the energy supply demand and the multiple-energy-source operation reserve
And its power output.
In the first possible implementation, the predicting unit is used to obtain the target shadow for influencing energy supply demand
The factor of sound and its corresponding weight coefficient, the object effects factor attribute of multiple history days is obtained according to the object effects factor
With the object effects factor attribute and the energy supply value of the multiple history day of prediction day；
According to the object effects factor attribute point of the object effects factor attribute of the multiple history day and the prediction day
The degree of correlation of each history day and the prediction day are not determined；
Choose the target histories day that the degree of correlation is greater than the first preset threshold；
Using the object effects factor attribute of the target histories day and energy supply value as sending sample, by support to
Amount machine determines the energy supply demand of prediction day.
In the second possible implementation, the determination unit is used to obtain the unit time fortune of each energy device
Row income, primary energy utilization ratio and unit time greenhouse gas emissions；
The economic optimum energy device that unit time operation income is greater than the second preset threshold is chosen, non-renewable energy benefit is chosen
It is greater than the optimal energy device of efficiency of third predetermined threshold value with rate, selects greenhouse gas emissions less than the ring of the 4th preset threshold
The optimal energy device in border；
When the multiple-energy-source operation reserve is economic indicator principle of optimality, the economic optimum energy device is run, and
According to the energy supply demand, its power output is determined；
When the multiple-energy-source operation reserve is energy efficiency indexes principle of optimality, the optimal energy device of the efficiency is run, and
According to the energy supply demand, its power output is determined；
When the multiple-energy-source operation reserve is environmental index principle of optimality, the optimal energy device of the environment is run, and
According to the energy supply demand, its power output is determined.
The third aspect of the embodiment of the present invention provides a kind of terminal device, including memory, processor and is stored in
In the memory and the computer program that can run on the processor, which is characterized in that described in the processor executes
It realizes when computer program such as the step of first aspect of embodiment of the present invention the method.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, realizes when the computer program is executed by processor such as first aspect of embodiment of the present invention institute
The step of stating method.
Existing beneficial effect is the embodiment of the present invention compared with prior art: the embodiment of the present invention is supplied by the prediction energy
Demand is answered, the multiple-energy-source operation reserve that user sends is obtained, the multiple-energy-source operation reserve is economic indicator principle of optimality, efficiency
Index principle of optimality or environmental index principle of optimality determine fortune according to the energy supply demand and the multiple-energy-source operation reserve
Row energy device and its power output, to realize the tune realized with multiple-energy-source operation reserve according to the demand of user to energy device
Degree.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is the implementation process schematic diagram of the dispatching method of energy device provided in an embodiment of the present invention；
Fig. 2 is step S101 implementation process schematic diagram provided in an embodiment of the present invention；
Fig. 3 is the schematic diagram of the dispatching device of energy device provided in an embodiment of the present invention；
Fig. 4 is the schematic diagram of terminal device provided in an embodiment of the present invention.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed
Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
The detailed description of road and method, in case unnecessary details interferes description of the invention.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " instruction is described special
Sign, entirety, step, operation, the presence of element and/or component, but be not precluded one or more of the other feature, entirety, step,
Operation, the presence or addition of element, component and/or device set.
It is also understood that herein term as used in this specification merely for the sake of for the purpose of describing particular embodiments and
It is not intended to limit the application.As present specification and it is used in the attached claims, unless context
Other situations are clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in present specification and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
As used in this specification and the appended claims, term " if " can be solved according to context
Be interpreted as " when ... when " or " once " or " in response to determination " or " in response to " detect.Similar, phrase " if it is determined that " or " such as
Fruit detects [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to determination "
Or " once detecting [the description condition or event] " or " in response to detecting [described condition or event] ".
In order to illustrate technical solutions according to the invention, the following is a description of specific embodiments.
Referring to FIG. 1, Fig. 1 is the implementation flow chart for the energy device dispatching method that one embodiment of the invention provides, the party
Method the following steps are included:
Step S101 predicts energy supply demand.
In embodiments of the present invention, energy supply demand is the energy total amount for predicting to need day, including electric energy and cold heat
Energy.It includes: illumination resource, wind speed resource, waterpower resourses, natural gas resource and life that electric energy, which supplies natural resources in need of consideration,
Physical resources.The energy device being related to includes solar energy photovoltaic panel, blower, hydro-generating Unit, gas turbine and biomass pot
Furnace.The natural resources that cold heat can need to consider includes: illumination resource, underground temperature, underground water temperature, natural gas money
Source etc..The energy device being related to includes solar water heater, earth source heat pump, flue gas direct-fired machine, electric boiler, gas fired-boiler, electricity
Cooling/heating etc..Simultaneously, it is contemplated that storage cold heat equipment include electric cold-storage water, electric heat storage water, electric ice-reserving etc..
Step S102, obtain user send multiple-energy-source operation reserve, the multiple-energy-source operation reserve be economic indicator most
Excellent principle, energy efficiency indexes principle of optimality or environmental index principle of optimality.
In embodiments of the present invention, multiple-energy-source operation reserve be economic indicator principle of optimality, energy efficiency indexes principle of optimality or
Environmental index principle of optimality.Wherein, economic indicator principle of optimality be the energy device of operation operating cost is minimum, income most
Greatly, energy efficiency indexes principle of optimality be the energy device of operation primary energy consumption is few, utilization rate of non-renewable energy is high, environment refers to
Mark principle of optimality is that the energy device greenhouse gas emissions of operation are minimum.
Step S103, according to the energy supply demand and the multiple-energy-source operation reserve determine operation energy device and its
Power output.
In embodiments of the present invention, it is determined according to the multiple-energy-source operation reserve that the energy supply demand of prediction and user send
It runs energy device and determines its power output.
The embodiment of the present invention obtains the multiple-energy-source operation reserve that user sends by prediction energy supply demand, described more
Energy operation reserve is economic indicator principle of optimality, energy efficiency indexes principle of optimality or environmental index principle of optimality, according to the energy
Source supply requirement and the multiple-energy-source operation reserve determine operation energy device and its power output, to realize according to the demand of user
The scheduling to energy device is realized with multiple-energy-source operation reserve.
As an embodiment of the present invention, referring to FIG. 2, a kind of possible implementation of step S101 includes following
Step:
Step S201 obtains the object effects factor for influencing energy supply demand and its corresponding weight coefficient, according to institute
Object effects factor attribute and the object effects factor attribute of prediction day that object effects factor obtains multiple history days are stated, and
The energy supply value of the multiple history day.
In embodiments of the present invention, energy supply demand is influenced by many factors, such as weather, season and date etc., day
Gas is divided into maximum temperature, minimum temperature, wind-force, fine day, cloudy day, sleet sky etc. again, and the date is divided into festivals or holidays and working day again.Respectively
The weight coefficient of a object effects factor is by expert opinion, for example, the weight coefficient of setting weather is 0.5, the weight system in season
Number is 0.3, and the weight coefficient on date is 0.2.Object effects factor attribute and the prediction of multiple history days are obtained from memory
The object effects factor attribute and the energy supply value of the multiple history day, energy supply value of day includes electric energy supply values
With cold heat supply values, for example, will predict 90 days a few days ago be used as history day, wherein prediction day on the day before Weather property be highest
30 degrees Celsius of temperature, minimum temperature is 20 degrees Celsius, and 2 grades of wind-force, fine day, season are summer, and the date is festivals or holidays.
Step S202, according to the object effects factor attribute of the multiple history day and it is described prediction day object effects because
Plain attribute determines the degree of correlation of each history day and the prediction day respectively.
As an embodiment of the present invention, a kind of possible implementation of step S202 are as follows:
According to the mapping relations of influence factor attribute and assignment, the object effects factor assignment of the multiple history day is determined
With the object effects factor assignment of the prediction day；
The object effects factor attribute of object effects factor attribute assignment to the history day and the prediction day respectively
Assignment is normalized；
According to expression formulaDetermine the degree of correlation sim of i-th of history day and prediction dayi,
In, bjIt is s for the weight coefficient of j-th of object effects factorijFor j-th of object effects factor assignment of i-th of history day,
s0jFor j-th of object effects factor assignment for predicting day, m is object effects factor sum.
In embodiments of the present invention, different influence factor attributes have different assignment, for example, for object effects because
For the generally phase, festivals or holidays assignment 2, working day assignment 1.The mapping relations of influence factor attribute and assignment are by user according to reality
Situation setting.According to mapping relations, the object effects factor assignment and the target of the prediction day of each history day are determined respectively
Influence factor assignment, and be normalized, data are limited in 0 to 1 range, and is determined according to the data after normalization
The degree of correlation of each history day and prediction day.
Data are normalized by maximum-minimum sandards method, a kind of possible implementation are as follows: according to influence
The mapping relations of factor attribute and assignment obtain the maximum assignment and minimum assignment of the object effects factor；According to expression formulaObject effects factor assignment and the object effects factor assignment of prediction day to history day carry out normalizing
Change processing；Wherein, s'AFor the assignment of the object effects factor A after normalization, sAFor the tax of the object effects factor A before normalization
Value, sA,minFor the minimum assignment of object effects factor A, sA,maxFor the maximum assignment of object effects factor A.
Step S203 chooses the target histories day that the degree of correlation is greater than the first preset threshold.
In embodiments of the present invention, history day of the degree of correlation greater than the first preset threshold is chosen as target histories day, or
Person will come first 10 history days as target histories day by the degree of correlation according to descending sequence.
Step S204, using the object effects factor attribute of the target histories day and energy supply value as sending sample,
Using the weight coefficient of the object effects factor as weight, determine that the energy supply of prediction day needs by Weighted Support Vector
It asks.
In embodiments of the present invention, the energy supply demand of prediction day is determined by Weighted Support Vector, wherein sample
Value is the object effects factor attribute and energy supply value of target histories day, and weight is the weight system of each object effects factor
Number.
As an embodiment of the present invention, a kind of possible implementation of step S103 are as follows: obtain each energy and set
Standby unit time operation income, primary energy utilization ratio and unit time greenhouse gas emissions；
The economic optimum energy device that unit time operation income is greater than the second preset threshold is chosen, non-renewable energy benefit is chosen
It is greater than the optimal energy device of efficiency of third predetermined threshold value with rate, selects greenhouse gas emissions less than the ring of the 4th preset threshold
The optimal energy device in border；
When the multiple-energy-source operation reserve is economic indicator principle of optimality, the economic optimum energy device is run, and
According to the energy supply demand, its power output is determined；
When the multiple-energy-source operation reserve is energy efficiency indexes principle of optimality, the optimal energy device of the efficiency is run, and
According to the energy supply demand, its power output is determined；
When the multiple-energy-source operation reserve is environmental index principle of optimality, the optimal energy device of the environment is run, and
According to the energy supply demand, its power output is determined.
In embodiments of the present invention, according to unit time operation income, primary energy utilization ratio and unit time greenhouse gas
Body discharge amount classifies to each energy device, is divided into the optimal energy device of economic optimum energy device, efficiency and environment most
Excellent energy device, the energy operation reserve sent further according to user determines corresponding operation energy device, according to the energy of prediction
Supply requirement determines the power output of each operation energy device.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Referring to FIG. 3, Fig. 3 is the schematic diagram of the dispatching device for the energy device that one embodiment of the invention provides, the device
Include: predicting unit, acquiring unit and determination unit, the function of each unit is as follows:
Predicting unit, for predicting energy supply demand；
Acquiring unit, for obtaining the multiple-energy-source operation reserve of user's transmission, the multiple-energy-source operation reserve refers to for economy
Mark principle of optimality, energy efficiency indexes principle of optimality or environmental index principle of optimality；
Determination unit, for determining operation energy device according to the energy supply demand and the multiple-energy-source operation reserve
And its power output.
As an embodiment of the present invention, the predicting unit is used to obtain the object effects for influencing energy supply demand
Factor and its corresponding weight coefficient, according to the object effects factor obtain multiple history days object effects factor attribute and
Predict the object effects factor attribute and the energy supply value of the multiple history day of day；
According to the object effects factor attribute point of the object effects factor attribute of the multiple history day and the prediction day
The degree of correlation of each history day and the prediction day are not determined；
Choose the target histories day that the degree of correlation is greater than the first preset threshold；
Using the object effects factor attribute of the target histories day and energy supply value as sending sample, by support to
Amount machine determines the energy supply demand of prediction day.
As an embodiment of the present invention, the predicting unit is used to be closed according to the mapping of influence factor attribute and assignment
System determines the object effects factor assignment and the object effects factor assignment of the prediction day of the multiple history day；
The object effects factor attribute of object effects factor attribute assignment to the history day and the prediction day respectively
Assignment is normalized；
According to expression formulaDetermine the degree of correlation sim of i-th of history day and prediction dayi,
In, bjIt is s for the weight coefficient of j-th of object effects factorijFor normalized i-th of history day j-th of object effects because
Plain assignment, s0jFor j-th of object effects factor assignment of normalized prediction day, m is object effects factor sum.
As an embodiment of the present invention, the predicting unit is used to be closed according to the mapping of influence factor attribute and assignment
System obtains the maximum assignment and minimum assignment of the object effects factor；
According to expression formulaObject effects factor assignment and the target shadow of prediction day to history day
Factor assignment is rung to be normalized；Wherein, s'AFor the assignment of the object effects factor A after normalization, sABefore normalization
Object effects factor A assignment, sA,minFor the minimum assignment of object effects factor A, sA,maxMost for object effects factor A
Big assignment.
As an embodiment of the present invention, the unit time operation that determination unit is used to obtain each energy device is received
Benefit, primary energy utilization ratio and unit time greenhouse gas emissions；
The economic optimum energy device that unit time operation income is greater than the second preset threshold is chosen, non-renewable energy benefit is chosen
It is greater than the optimal energy device of efficiency of third predetermined threshold value with rate, selects greenhouse gas emissions less than the ring of the 4th preset threshold
The optimal energy device in border；
When the multiple-energy-source operation reserve is economic indicator principle of optimality, the economic optimum energy device is run, and
According to the energy supply demand, its power output is determined；
When the multiple-energy-source operation reserve is energy efficiency indexes principle of optimality, the optimal energy device of the efficiency is run, and
According to the energy supply demand, its power output is determined；
When the multiple-energy-source operation reserve is environmental index principle of optimality, the optimal energy device of the environment is run, and
According to the energy supply demand, its power output is determined.
Fig. 4 is the schematic diagram for the terminal device that one embodiment of the invention provides.As shown in figure 4, the terminal of the embodiment is set
Standby 4 include: processor 401, memory 402 and are stored in the memory 402 and can run on the processor 401
Computer program 403.The processor 401 realizes the tune of above-mentioned each energy device when executing the computer program 403
Spend the step in embodiment of the method, such as step S101 to S103 shown in FIG. 1.Alternatively, the processor 401 executes the meter
The function of each module/unit in above-mentioned each Installation practice, such as unit 301 to 303 shown in Fig. 3 are realized when calculation machine program 403
Function.
Illustratively, the computer program 403 can be divided into one or more module/units, it is one or
Multiple module/the units of person are stored in the memory 402, and are executed by the processor 401, to complete the present invention.Institute
Stating one or more module/units can be the series of computation machine program instruction section that can complete specific function, the instruction segment
For describing implementation procedure of the computer program 403 in the terminal device 4.For example, the computer program 403 can
To be divided into predicting unit, acquiring unit and determination unit, the function of each unit is as follows:
Predicting unit, for predicting energy supply demand；
Acquiring unit, for obtaining the multiple-energy-source operation reserve of user's transmission, the multiple-energy-source operation reserve refers to for economy
Mark principle of optimality, energy efficiency indexes principle of optimality or environmental index principle of optimality；
Determination unit, for determining operation energy device according to the energy supply demand and the multiple-energy-source operation reserve
And its power output.
As an embodiment of the present invention, the predicting unit is used to obtain the object effects for influencing energy supply demand
Factor and its corresponding weight coefficient, according to the object effects factor obtain multiple history days object effects factor attribute and
Predict the object effects factor attribute and the energy supply value of the multiple history day of day；
According to the object effects factor attribute point of the object effects factor attribute of the multiple history day and the prediction day
The degree of correlation of each history day and the prediction day are not determined；
Choose the target histories day that the degree of correlation is greater than the first preset threshold；
Using the object effects factor attribute of the target histories day and energy supply value as sending sample, by support to
Amount machine determines the energy supply demand of prediction day.
As an embodiment of the present invention, the predicting unit is used to be closed according to the mapping of influence factor attribute and assignment
System determines the object effects factor assignment and the object effects factor assignment of the prediction day of the multiple history day；
The object effects factor attribute of object effects factor attribute assignment to the history day and the prediction day respectively
Assignment is normalized；
According to expression formulaDetermine the degree of correlation sim of i-th of history day and prediction dayi,
In, bjIt is s for the weight coefficient of j-th of object effects factorijFor normalized i-th of history day j-th of object effects because
Plain assignment, s0jFor j-th of object effects factor assignment of normalized prediction day, m is object effects factor sum.
As an embodiment of the present invention, the predicting unit is used to be closed according to the mapping of influence factor attribute and assignment
System obtains the maximum assignment and minimum assignment of the object effects factor；
According to expression formulaObject effects factor assignment and the target shadow of prediction day to history day
Factor assignment is rung to be normalized；Wherein, s'AFor the assignment of the object effects factor A after normalization, sABefore normalization
Object effects factor A assignment, sA,minFor the minimum assignment of object effects factor A, sA,maxMost for object effects factor A
Big assignment.
As an embodiment of the present invention, the unit time operation that determination unit is used to obtain each energy device is received
Benefit, primary energy utilization ratio and unit time greenhouse gas emissions；
The economic optimum energy device that unit time operation income is greater than the second preset threshold is chosen, non-renewable energy benefit is chosen
It is greater than the optimal energy device of efficiency of third predetermined threshold value with rate, selects greenhouse gas emissions less than the ring of the 4th preset threshold
The optimal energy device in border；
When the multiple-energy-source operation reserve is economic indicator principle of optimality, the economic optimum energy device is run, and
According to the energy supply demand, its power output is determined；
When the multiple-energy-source operation reserve is energy efficiency indexes principle of optimality, the optimal energy device of the efficiency is run, and
According to the energy supply demand, its power output is determined；
When the multiple-energy-source operation reserve is environmental index principle of optimality, the optimal energy device of the environment is run, and
According to the energy supply demand, its power output is determined.
The terminal device 4 can be the calculating such as desktop PC, notebook, palm PC and cloud server and set
It is standby.The terminal device may include, but be not limited only to, processor 401, memory 402.It will be understood by those skilled in the art that
Fig. 4 is only the example of terminal device 4, does not constitute the restriction to terminal device 4, may include more more or fewer than illustrating
Component, perhaps combines certain components or different components, for example, the terminal device can also include send output equipment,
Network access equipment, bus etc..
Alleged processor 401 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 402 can be the internal storage unit of the terminal device 4, for example, terminal device 4 hard disk or
Memory.The memory 402 is also possible to the External memory equipment of the terminal device 4, such as is equipped on the terminal device 4
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card,
Flash card (Flash Card) etc..Further, the memory 402 can also have been deposited both the inside including the terminal device 4
Storage unit also includes External memory equipment.The memory 402 is for storing the computer program and the terminal device
Other required programs and data.The memory 402, which can be also used for temporarily storing, have been exported or will export
Data.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, only a kind of logical function partition, there may be another division manner in actual implementation, such as
Multiple units or components can be combined or can be integrated into another system, or some features can be ignored or not executed.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be through some interfaces, device
Or the INDIRECT COUPLING or communication connection of unit, it can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can store in a computer readable storage medium.Based on this understanding, the present invention realizes above-mentioned implementation
All or part of the process in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program generation
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer-readable medium
It may include: any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic that can carry the computer program code
Dish, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described
The content that computer-readable medium includes can carry out increasing appropriate according to the requirement made laws in jurisdiction with patent practice
Subtract, such as does not include electric carrier signal and electricity according to legislation and patent practice, computer-readable medium in certain jurisdictions
Believe signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of dispatching method of energy device characterized by comprising
Predict energy supply demand；
The multiple-energy-source operation reserve that user sends is obtained, the multiple-energy-source operation reserve is economic indicator principle of optimality, efficiency refers to
Mark principle of optimality or environmental index principle of optimality；
Operation energy device and its power output are determined according to the energy supply demand and the multiple-energy-source operation reserve.
2. the dispatching method of energy device as described in claim 1, which is characterized in that the prediction energy supply demand, packet
It includes:
The object effects factor for influencing energy supply demand and its corresponding weight coefficient are obtained, according to the object effects factor
Obtain object effects factor attribute and the multiple history day of the object effects factor attribute of multiple history days with prediction day
Energy supply value；
Object effects factor attribute difference according to the object effects factor attribute of the multiple history day and the prediction day is true
The degree of correlation of fixed each history day and the prediction day；
Choose the target histories day that the degree of correlation is greater than the first preset threshold；
Using the object effects factor attribute of the target histories day and energy supply value as sample is sent, with the object effects
The weight coefficient of factor determines the energy supply demand of prediction day by Weighted Support Vector as weight.
3. the dispatching method of energy device as claimed in claim 2, which is characterized in that described according to the multiple history day
Object effects factor attribute and the object effects factor attribute of the prediction day determine each history day and the prediction day respectively
The degree of correlation, comprising:
According to the mapping relations of influence factor attribute and assignment, object effects factor assignment and the institute of the multiple history day are determined
State the object effects factor assignment of prediction day；
The object effects factor attribute assignment of object effects factor attribute assignment to the history day and the prediction day respectively
It is normalized；
According to expression formulaDetermine the degree of correlation sim of i-th of history day and prediction dayi, wherein bjFor
The weight coefficient of j-th of object effects factor is sijFor j-th of object effects factor assignment of normalized i-th of history day,
s0jFor j-th of object effects factor assignment of normalized prediction day, m is object effects factor sum.
4. the dispatching method of energy device as claimed in claim 3, which is characterized in that described respectively to the target of the history day
The object effects factor attribute assignment of influence factor attribute assignment and the prediction day are normalized, comprising:
According to the mapping relations of influence factor attribute and assignment, the maximum assignment and minimum tax of the object effects factor are obtained
Value；
According to expression formulaTo the object effects of the object effects factor assignment of history day and prediction day because
Plain assignment is normalized；Wherein, s'AFor the assignment of the object effects factor A after normalization, sAFor the mesh before normalization
Mark the assignment of influence factor A, sA,minFor the minimum assignment of object effects factor A, sA,maxIt is assigned for the maximum of object effects factor A
Value.
5. such as the dispatching method of the described in any item energy devices of Claims 1-4, which is characterized in that supplied according to the energy
Demand and the multiple-energy-source operation reserve is answered to determine running equipment and its power output, comprising:
Obtain unit time operation income, primary energy utilization ratio and the unit time greenhouse gas emission of each energy device
Amount；
The economic optimum energy device that unit time operation income is greater than the second preset threshold is chosen, primary energy utilization ratio is chosen
Greater than the optimal energy device of the efficiency of third predetermined threshold value, select greenhouse gas emissions less than the 4th preset threshold environment most
Excellent energy device；
When the multiple-energy-source operation reserve is economic indicator principle of optimality, the economic optimum energy device is run, and according to
The energy supply demand, determines its power output；
When the multiple-energy-source operation reserve is energy efficiency indexes principle of optimality, the optimal energy device of the efficiency is run, and according to
The energy supply demand, determines its power output；
When the multiple-energy-source operation reserve is environmental index principle of optimality, the optimal energy device of the environment is run, and according to
The energy supply demand, determines its power output.
6. a kind of dispatching device of energy device characterized by comprising
Predicting unit, for predicting energy supply demand；
Acquiring unit, for obtain user transmission multiple-energy-source operation reserve, the multiple-energy-source operation reserve be economic indicator most
Excellent principle, energy efficiency indexes principle of optimality or environmental index principle of optimality；
Determination unit, for according to the energy supply demand and the multiple-energy-source operation reserve determine operation energy device and its
Power output.
7. the dispatching device of energy device as claimed in claim 6, which is characterized in that the predicting unit is influenced for obtaining
The object effects factor of energy supply demand and its corresponding weight coefficient obtain multiple history according to the object effects factor
The object effects factor attribute and the object effects factor attribute of prediction day of day and the energy supply of the multiple history day
Value；
Object effects factor attribute difference according to the object effects factor attribute of the multiple history day and the prediction day is true
The degree of correlation of fixed each history day and the prediction day；
Choose the target histories day that the degree of correlation is greater than the first preset threshold；
Using the object effects factor attribute of the target histories day and energy supply value as sample is sent, pass through support vector machines
Determine the energy supply demand of prediction day.
8. the dispatching device of energy device as claimed in claim 6, which is characterized in that the determination unit is each for obtaining
Unit time operation income, primary energy utilization ratio and the unit time greenhouse gas emissions of energy device；
The economic optimum energy device that unit time operation income is greater than the second preset threshold is chosen, primary energy utilization ratio is chosen
Greater than the optimal energy device of the efficiency of third predetermined threshold value, select greenhouse gas emissions less than the 4th preset threshold environment most
Excellent energy device；
When the multiple-energy-source operation reserve is economic indicator principle of optimality, the economic optimum energy device is run, and according to
The energy supply demand, determines its power output；
When the multiple-energy-source operation reserve is energy efficiency indexes principle of optimality, the optimal energy device of the efficiency is run, and according to
The energy supply demand, determines its power output；
When the multiple-energy-source operation reserve is environmental index principle of optimality, the optimal energy device of the environment is run, and according to
The energy supply demand, determines its power output.
9. a kind of terminal device, including memory, processor and storage are in the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 5 when executing the computer program
The step of any one the method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In when the computer program is executed by processor the step of any one of such as claim 1 to 5 of realization the method.
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