CN109274092A - Energy management method and device based on energy internet - Google Patents
Energy management method and device based on energy internet Download PDFInfo
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- CN109274092A CN109274092A CN201811204104.9A CN201811204104A CN109274092A CN 109274092 A CN109274092 A CN 109274092A CN 201811204104 A CN201811204104 A CN 201811204104A CN 109274092 A CN109274092 A CN 109274092A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The embodiment of the present invention provides a kind of energy management method and device based on energy internet, belongs to energy Internet technical field.This method comprises: establishing the corresponding linear dynamic model of equipment in microgrid;According to the corresponding linear dynamic model of each equipment, energy management control target is established;According to the corresponding linear dynamic model of each equipment, energy management control target is expressed as corresponding objective function, the optimum control signal of controllable generating equipment in microgrid is obtained based on objective function, the corresponding linear dynamic model of each equipment and operation constraint condition, optimum control signal is input to the micro-grid system of microgrid, to carry out energy management to microgrid.Due to can microgrid group's scene for not being connected with bulk power grid of Dock With Precision Position, so as to pointedly be managed to microgrid, management effect is preferable.In addition, the two is complementary and does not conflict, to further improve management effect due to that can be used in combination with the conventional energy management method being arranged inside energy storage device.
Description
Technical field
The present embodiments relate to energy Internet technical field more particularly to a kind of energy pipes based on energy internet
Manage method and device.
Background technique
It in recent years, is to solve current energy crisis as the energy internet for being related to interdisciplinary field, environmental pollution is used
The effective means for the problems such as electricity scheduling is difficult.Under energy Internet scene, multiple microgrids are connected by energy router, energy
It can be opened between multiple microgrids by router, peer switch.Energy management criterion is under energy internet: local autonomy exists
First, after wide area is interconnected at.That is, each microgrid preferentially realizes its internal electric energy equilibrium of supply and demand, then realize that wide area energy is mutual again
Energy peer switch under networking scenario.The energy management method of energy internet is not quasi- based entirely on above-mentioned management at present
Then, now it is badly in need of a kind of energy management method based on above-mentioned energy management criterion.
Summary of the invention
To solve the above-mentioned problems, the embodiment of the present invention provides one kind and overcomes the above problem or at least be partially solved
State the energy management method and device based on energy internet of problem.
According to a first aspect of the embodiments of the present invention, a kind of energy management method based on energy internet is provided, is wrapped
It includes:
Establish the corresponding linear dynamic model of equipment in microgrid;
According to the corresponding linear dynamic model of each equipment, energy management control target is established;
According to the corresponding linear dynamic model of each equipment, energy management control target is expressed as corresponding target letter
Number solves to obtain controllable in microgrid based on objective function, the corresponding linear dynamic model of each equipment and operation constraint condition
Optimum control signal, is input to the micro-grid system of microgrid by the optimum control signal of generating equipment, to carry out energy pipe to microgrid
Reason.
Method provided in an embodiment of the present invention, by establishing the corresponding linear dynamic model of equipment in microgrid, according to each
The corresponding linear dynamic model of equipment establishes energy management control target.It is right according to the corresponding linear dynamic model of each equipment
Energy management control target is expressed as corresponding objective function, is based on objective function, the corresponding linear dynamic model of each equipment
And operation constraint condition solves to obtain the optimum control signal of controllable generating equipment in microgrid, and optimum control signal is input to
The micro-grid system of microgrid, to carry out energy management to microgrid.Due to can microgrid group's scene for not being connected with bulk power grid of Dock With Precision Position,
So as to pointedly be managed to microgrid, management effect is preferable.In addition, since controller is only in controllable generating equipment,
Controller is not set directly on energy storage device.It in other words, can be with the conventional energy pipe that is arranged inside energy storage device
Reason method is used in combination, and the two is complementary and does not conflict, to further improve management effect.
According to a second aspect of the embodiments of the present invention, a kind of energy management apparatus based on energy internet is provided, is wrapped
It includes:
First establishes module, for establishing the corresponding linear dynamic model of equipment in microgrid;
Second establishes module, for establishing energy management control target according to the corresponding linear dynamic model of each equipment;
Management module, for being expressed as to energy management control target according to the corresponding linear dynamic model of each equipment
Corresponding objective function is solved based on objective function, the corresponding linear dynamic model of each equipment and operation constraint condition
Optimum control signal, is input to the micro-grid system of microgrid, to micro- by the optimum control signal of controllable generating equipment in microgrid
Net carries out energy management.
According to a third aspect of the embodiments of the present invention, a kind of electronic equipment is provided, comprising:
At least one processor;And
At least one processor being connect with processor communication, in which:
Memory is stored with the program instruction that can be executed by processor, and the instruction of processor caller is able to carry out first party
Energy management based on energy internet provided by any possible implementation in the various possible implementations in face
Method.
According to the fourth aspect of the invention, a kind of non-transient computer readable storage medium, non-transient computer are provided
Readable storage medium storing program for executing stores computer instruction, and computer instruction makes the various possible implementations of computer execution first aspect
In the energy management method based on energy internet provided by any possible implementation.
It should be understood that above general description and following detailed description be it is exemplary and explanatory, can not
Limit the embodiment of the present invention.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of flow diagram of the energy management method based on energy internet provided in an embodiment of the present invention;
Fig. 2 is a kind of structural schematic diagram of the energy management apparatus based on energy internet provided in an embodiment of the present invention;
Fig. 3 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
It in recent years, is to solve current energy crisis as the energy internet for being related to interdisciplinary field, environmental pollution is used
The effective means for the problems such as electricity scheduling is difficult.Under energy Internet scene, multiple microgrids are connected by energy router, energy
It can be opened between multiple microgrids by router, peer switch.Energy management criterion is under energy internet: local autonomy exists
First, after wide area is interconnected at.That is, each microgrid preferentially realizes its internal electric energy equilibrium of supply and demand.Concrete example is said, if one micro-
Net is on the basis of realizing Equilibrium, and energy storage is filled substantially with, and still has extra renewable energy in lasting power generation,
So much remaining electric energy can pass to another coupled microgrid by energy router.If a microgrid power itself
Release finishes electric energy substantially for insufficient and itself energy storage, and load still has a large amount of power demands in the microgrid, then must pass through energy
Router is measured from external microgrid scheduling energy to compensate electric energy unbalanced supply-demand.It is autonomous that each microgrid should follow internal supply and demand
Balance criterion operation, i.e. local are autonomous online;From the point of view of wide area angle, multiple microgrids are before it cannot achieve own power balance
It puts, realizes that the energy under similar Internet scene interconnects, realize energy peer switch, i.e., after wide area is interconnected at.
On the other hand, in realizing bottom-up control process, energy control engineer needs to guarantee respectively to set in microgrid
For by reasonable employment.Some unreasonable uses include the excessive control to controllable power generator and energy router, and
Some operations for damaging energy storage device service life.The reasonable employment of these equipment is critically important in practical operation level, microgrid.
For said circumstances, the embodiment of the invention provides a kind of energy management methods based on energy internet.It needs
Illustrate, this method can be applied to any one microgrid in energy internet.Referring to Fig. 1, this method comprises:
101, the corresponding linear dynamic model of equipment in microgrid is established.
Wherein, the equipment in microgrid may include generating equipment, load equipment, energy storage device and energy router, this hair
Bright embodiment is not especially limited this.In addition, linear dynamic model can be specially the differential equation, the embodiment of the present invention is to this
Also it is not especially limited.
102, according to the corresponding linear dynamic model of each equipment, energy management control target is established.
Wherein, the item to be solved in energy management control target is the control signal of controllable generating equipment in microgrid.Controllably
Generating equipment refers to the generating equipment that indices can be observed or estimate in power generation process in microgrid.
103, according to the corresponding linear dynamic model of each equipment, energy management control target is expressed as corresponding target
Function, solving to obtain based on objective function, the corresponding linear dynamic model of each equipment and operation constraint condition can in microgrid
Optimum control signal, is input to the micro-grid system of microgrid by the optimum control signal for controlling generating equipment, to carry out energy to microgrid
Management.
Wherein, operation constraint condition refers to whether the electrical power generated in microgrid puts down with consumption and the electrical power produced
Weighing apparatus.Based on theory of stochastic optimal control, the control signal of generating equipment controllable in microgrid is solved, controllable power generation can be obtained
The optimum control signal of equipment.
Method provided in an embodiment of the present invention, by establishing the corresponding linear dynamic model of equipment in microgrid.According to every
The corresponding linear dynamic model of one equipment establishes energy management control target.According to the corresponding linear dynamic model of each equipment,
Energy management control target is expressed as corresponding objective function, is based on objective function, the corresponding linear dynamic mould of each equipment
Type and operation constraint condition solve to obtain the optimum control signal of controllable generating equipment in microgrid, and optimum control signal is inputted
To the micro-grid system of microgrid, to carry out energy management to microgrid.Due to can the microgrid group that is not connected with bulk power grid of Dock With Precision Position
Scape, so as to pointedly be managed to microgrid, management effect is preferable.In addition, since controller is only in controllable generating equipment
On, controller is not set directly on energy storage device.It in other words, can be with the conventional energy that is arranged inside energy storage device
Management method is used in combination, and the two is complementary and does not conflict, to further improve management effect.
Content based on the above embodiment, as a kind of alternative embodiment, the embodiment of the present invention is not set to establishing in microgrid
The mode of standby corresponding linear dynamic model specifically limits, including but not limited to: establishing uncontrollable generating equipment in microgrid
The electric power model of generated output model and load equipment establishes the generated output model and energy of controllable generating equipment in microgrid
The power module for measuring router, establishes the charged state model of energy storage device in microgrid.
In view of the random fluctuation of uncontrollable its power of generating equipment, so as to respectively to different uncontrollable generating equipments
It is modeled, so that modeling result is closer to true effect.Content based on the above embodiment, as a kind of optional reality
Example is applied, uncontrollable generating equipment includes at least photovoltaic power generation equipment and wind turbine power generation equipment;Correspondingly, the hair of photovoltaic power generation equipment
The expression formula of electrical power model is as follows:
Wherein,Indicate the generated output of photovoltaic power generation equipment,Indicate the power generation function of photovoltaic power generation equipment
The differential of rate,Indicate the time constant of photovoltaic power generation equipment,Indicate the randomness amplifying parameters in microgrid,Table
Show that the differential of the corresponding Wiener-Hopf equation function of the generated output of photovoltaic power generation equipment, dt indicate the differential of time;
The expression formula of the generated output model of wind turbine power generation equipment is as follows:
Wherein,Indicate the generated output of wind turbine power generation equipment,Indicate the power generation function of wind turbine power generation equipment
The differential of rate,Indicate the time constant of wind turbine power generation equipment,Indicate the randomness amplifying parameters in microgrid,
Indicate that the differential of the corresponding Wiener-Hopf equation function of generated output of wind turbine power generation equipment, dt indicate the differential of time.
Content based on the above embodiment, as a kind of alternative embodiment, the expression of the electric power model of load equipment
Formula is as follows:
Wherein,Indicate the generated output of load equipment,Indicate the differential of the electric power of load equipment,Indicate the time constant of load equipment,Indicate the randomness amplifying parameters in microgrid,Indicate the function of load equipment
The differential of the corresponding Wiener-Hopf equation function of rate, dt indicate the differential of time.
It should be noted thatAndIt can be known by parameter and be obtained otherwise, this hair
Bright embodiment is not especially limited this.Multiple Wiener-Hopf equationsAndAnd generated by computer random,
The embodiment of the present invention is also not especially limited this.
Content based on the above embodiment, as a kind of alternative embodiment, controllable generating equipment includes at least micro generation
Equipment, diesel power generation equipment and fuel cell;Correspondingly, the following institute of the expression formula of the generated output model of micro generation equipment
Show:
Wherein,Indicate the generated output of micro generation equipment,Indicate micro generation equipment uses electric work
The differential of rate,Indicate the time constant of micro generation equipment,Indicate the incidence coefficient of micro generation equipment internal controller,Indicate that the control signal of micro generation equipment internal controller, dt indicate the differential of time.
The expression formula of the generated output model of diesel power generation equipment is as follows:
Wherein,Indicate the generated output of diesel power generation equipment,Indicate diesel power generation equipment uses electric work
The differential of rate,Indicate the time constant of diesel power generation equipment,Indicate the incidence coefficient of diesel power generation equipment internal controller,Indicate that the control signal of diesel power generation equipment internal controller, dt indicate the differential of time;
The expression formula of the generated output model of fuel cell is as follows:
Wherein,Indicate the generated output of fuel cell,Indicate the differential of the electric power of fuel cell,Indicate the time constant of fuel cell,Indicate the incidence coefficient of fuel cell internal controller,Indicate fuel cell
The control signal of internal controller, dt indicate the differential of time.
Content based on the above embodiment, as a kind of alternative embodiment, the expression formula of the power module of energy router
It is as follows:
Wherein,Indicate the generated output of energy router,Indicate the electric power of energy router
Differential,Indicate the time constant of energy router,Indicate the incidence coefficient of energy router internal controller,Table
Show that the control signal of energy router internal controller, dt indicate the differential of time.
It should be noted thatAndIt can be known by parameter and be obtained otherwise, this
Inventive embodiments are not especially limited this.AndFor the control signal of controllable generating equipment,
Item as to be solved.
Content based on the above embodiment, as a kind of alternative embodiment, the charged state model of energy storage device in microgrid
Expression formula it is as follows:
Wherein, dSOCi(t) indicate microgrid in i-th of energy storage device t moment charged state differential,It indicates
I-th of energy storage device t moment power,Indicate the charging coefficient of i-th of energy storage device,It indicates i-th
The capacity of energy storage device, dt indicate the differential of time.
Wherein, charging coefficientIt can be defined as:
Wherein,Indicate i-th of energy storage device in the power of t moment,WithIndicate constant term.
Content based on the above embodiment, as a kind of alternative embodiment, the embodiment of the present invention is not to according to each equipment
Corresponding linear dynamic model, the mode for establishing energy management control target specifically limit, including but not limited to following process:
(1) introduced feature functionThis feature function can refer to following expression:
Wherein,Indicate SOCi(t) lower limit,For SOCi(t) the upper limit.
(2) it definesIt can refer to following expression:
Wherein,ForMaximum permissible value.
(3) it defines energy management and controls target, expression formula is as follows:
Wherein, α1、α2、α3、α4、α5And α6For system weight function.
In the expression formula of above-mentioned energy management control target,Protection energy storage is used to set
It is standby,It is used to prevent the excessive control to controllable generating equipment,It is used to realize bottom-up energy management criterion.
(4) electric energy equilibrium of supply and demand relationship is established, can refer to following expression:
(5) solve to obtain the optimum control signal of controllable generating equipment in microgrid based on above-mentioned electric energy equilibrium of supply and demand relationship,
So that the calculated result of energy management control target is minimized, to obtainAndIt is optimal
Solution namely optimum control signal.
Method provided in an embodiment of the present invention, due to use stochastic differential equation in isolated island microgrid with randomness
Power generation modeled with electrical equipment, it is contemplated that photovoltaic power generation equipment, wind turbine power generation equipment and load equipment three's power
Random fluctuation, so that modeling result is closer to true effect.
Content based on the above embodiment, the embodiment of the invention provides a kind of, and the energy management based on energy internet fills
It sets, which is used to execute the energy management method based on energy internet in above method embodiment.Referring to fig. 2, the dress
Set includes: first to establish module 201, second establish module 202 and management module 203;Wherein,
First establishes module 201, for establishing the corresponding linear dynamic model of equipment in microgrid;
Second establishes module 202, for establishing energy management control mesh according to the corresponding linear dynamic model of each equipment
Mark;
Management module 203, for according to the corresponding linear dynamic model of each equipment, energy management control target to be stated
For corresponding objective function, solved based on objective function, the corresponding linear dynamic model of each equipment and operation constraint condition
The optimum control signal of controllable generating equipment in microgrid is obtained, optimum control signal is input to the micro-grid system of microgrid, with right
Microgrid carries out energy management.
Wherein, the equipment in microgrid may include generating equipment, load equipment, energy storage device and energy router, this hair
Bright embodiment is not especially limited this.In addition, linear dynamic model could alternatively be the general differential equation, the present invention is implemented
Example is also not especially limited this.Energy management controls the control letter that the item to be solved in target is controllable generating equipment in microgrid
Number.Controllable generating equipment refers to the generating equipment that indices can be observed or estimate in power generation process in microgrid.Microgrid
Electric energy equilibrium of supply and demand relationship refer to whether the electrical power generated in microgrid balances with the electrical power for consuming and producing.Using
Theory of stochastic optimal control solves the control signal of generating equipment controllable in microgrid, and controllable generating equipment can be obtained most
Excellent control signal.
Device provided in an embodiment of the present invention, by establishing the corresponding linear dynamic model of equipment in microgrid.According to each
The corresponding linear dynamic model of equipment establishes energy management control target.It, will according to the corresponding linear dynamic model of each equipment
Energy management control target is expressed as corresponding objective function, is based on objective function, the corresponding linear dynamic model of each equipment
And operation constraint condition solves to obtain the optimum control signal of controllable generating equipment in microgrid, and optimum control signal is input to
The micro-grid system of microgrid, to carry out energy management to microgrid.Due to can microgrid group's scene for not being connected with bulk power grid of Dock With Precision Position,
So as to pointedly be managed to microgrid, management effect is preferable.In addition, since controller is only in controllable generating equipment,
Controller is not set directly on energy storage device.It in other words, can be with the conventional energy pipe that is arranged inside energy storage device
Reason method is used in combination, and the two is complementary and does not conflict, to further improve management effect.
It should also be noted that, due to using power generation and electricity consumption of the stochastic differential equation to having randomness in isolated island microgrid
Equipment is modeled, it is contemplated that the random fluctuation of photovoltaic power generation equipment, wind turbine power generation equipment and load equipment three's power makes
Modeling result is obtained closer to true micro-grid system.
Fig. 3 illustrates the entity structure schematic diagram of a kind of electronic equipment, as shown in figure 3, the electronic equipment may include: place
Manage device (processor) 310, communication interface (Communications Interface) 320,330 He of memory (memory)
Communication bus 340, wherein processor 310, communication interface 320, memory 330 complete mutual lead to by communication bus 340
Letter.Processor 310 can call the logical order in memory 330, to execute following method: it is corresponding to establish equipment in microgrid
Linear dynamic model;According to the corresponding linear dynamic model of each equipment, energy management control target is established;According to each equipment
Corresponding linear dynamic model is expressed as corresponding objective function to energy management control target, is based on objective function, Mei Yishe
Standby corresponding linear dynamic model and operation constraint condition solve to obtain the optimum control signal of controllable generating equipment in microgrid,
Optimum control signal is input to the micro-grid system of microgrid, to carry out energy management to microgrid.
In addition, the logical order in above-mentioned memory 330 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
Substantially the part of the part that contributes to existing technology or the technical solution can be in other words for the technical solution of invention
The form of software product embodies, which is stored in a storage medium, including some instructions to
So that a computer equipment (can be personal computer, electronic equipment or the network equipment etc.) executes each reality of the present invention
Apply all or part of the steps of a method.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. it is various
It can store the medium of program code.
The embodiment of the present invention also provides a kind of non-transient computer readable storage medium, is stored thereon with computer program,
The computer program is implemented to carry out the various embodiments described above offer method when being executed by processor, for example, establish microgrid
The corresponding linear dynamic model of interior equipment;According to the corresponding linear dynamic model of each equipment, energy management control target is established;
According to the corresponding linear dynamic model of each equipment, corresponding objective function is expressed as to energy management control target, is based on mesh
Scalar functions, the corresponding linear dynamic model of each equipment and operation constraint condition solve to obtain controllable generating equipment in microgrid
Optimum control signal is input to the micro-grid system of microgrid by optimum control signal, to carry out energy management to microgrid.
Embodiments described above is only schematical, wherein as illustrated by the separation member unit can be or
It may not be and be physically separated, component shown as a unit may or may not be physical unit, it can
It is in one place, or may be distributed over multiple network units.Part therein can be selected according to the actual needs
Or whole modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creative labor
In the case of, it can it understands and implements.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features;
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of energy management method based on energy internet characterized by comprising
Establish the corresponding linear dynamic model of equipment in microgrid;
According to the corresponding linear dynamic model of each equipment, energy management control target is established;
According to the corresponding linear dynamic model of each equipment, energy management control target is expressed as corresponding target letter
Number solves to obtain described micro- based on the objective function, the corresponding linear dynamic model of each equipment and operation constraint condition
The optimum control signal, is input to the micro-grid system of the microgrid by the optimum control signal of controllable generating equipment in net, with
Energy management is carried out to the microgrid.
2. the method according to claim 1, wherein described establish the corresponding linear dynamic mould of equipment in microgrid
Type, comprising:
The generated output model of uncontrollable generating equipment in the microgrid and the electric power model of load equipment are established, institute is established
The controllable generated output model of generating equipment and the power module of energy router in microgrid are stated, energy storage in the microgrid is established and sets
Standby charged state model.
3. according to the method described in claim 2, it is characterized in that, the uncontrollable generating equipment is set including at least photovoltaic power generation
Standby and wind turbine power generation equipment;Correspondingly, the expression formula of the generated output model of the photovoltaic power generation equipment is as follows:
Wherein,Indicate the generated output of the photovoltaic power generation equipment,Indicate the hair of the photovoltaic power generation equipment
The differential of electrical power,Indicate the time constant of the photovoltaic power generation equipment,Indicate the randomness amplification ginseng in the microgrid
Number,Indicate that the differential of the corresponding Wiener-Hopf equation function of the generated output of the photovoltaic power generation equipment, dt indicate the time
Differential;
The expression formula of the generated output model of the wind turbine power generation equipment is as follows:
Wherein,Indicate the generated output of the wind turbine power generation equipment,Indicate the hair of the wind turbine power generation equipment
The differential of electrical power,Indicate the time constant of the wind turbine power generation equipment,Indicate the randomness amplification in the microgrid
Parameter,Indicate that the differential of the corresponding Wiener-Hopf equation function of the generated output of the wind turbine power generation equipment, dt indicate the time
Differential.
4. according to the method described in claim 2, it is characterized in that, the expression formula of the electric power model of the load equipment such as
Shown in lower:
Wherein,Indicate the generated output of the load equipment,Indicate the electric power of the load equipment
Differential,Indicate the time constant of the load equipment,Indicate the randomness amplifying parameters in the microgrid,Table
Show that the differential of the corresponding Wiener-Hopf equation function of the power of the load equipment, dt indicate the differential of time.
5. according to the method described in claim 2, it is characterized in that, the controllable generating equipment is set including at least micro generation
Standby, diesel power generation equipment and fuel cell;Correspondingly, the following institute of the expression formula of the generated output model of the micro generation equipment
Show:
Wherein,Indicate the generated output of the micro generation equipment,Indicate the use of the micro generation equipment
The differential of electrical power,Indicate the time constant of the micro generation equipment,Indicate control in the micro generation equipment
The incidence coefficient of device,Indicate that the control signal of the micro generation equipment internal controller, dt indicate the differential of time;
The expression formula of the generated output model of the diesel power generation equipment is as follows:
Wherein,Indicate the generated output of the diesel power generation equipment,Indicate the use of the diesel power generation equipment
The differential of electrical power,Indicate the time constant of the diesel power generation equipment,Indicate control in the diesel power generation equipment
The incidence coefficient of device,Indicate that the control signal of the diesel power generation equipment internal controller, dt indicate the differential of time;
The expression formula of the generated output model of the fuel cell is as follows:
Wherein,Indicate the generated output of the fuel cell,Indicate the electric power of the fuel cell
Differential,Indicate the time constant of the fuel cell,Indicate the incidence coefficient of the fuel cell internal controller,Indicate that the control signal of the fuel cell internal controller, dt indicate the differential of time.
6. according to the method described in claim 2, it is characterized in that, the expression formula of the power module of the energy router is as follows
It is shown:
Wherein,Indicate the generated output of the energy router,Indicate the energy router uses electric work
The differential of rate,Indicate the time constant of the energy router,Indicate the association system of the energy router internal controller
Number,Indicate that the control signal of the energy router internal controller, dt indicate the differential of time.
7. according to the method described in claim 2, it is characterized in that, in the microgrid charged state model of energy storage device table
It is as follows up to formula:
Wherein, dSOCi(t) indicate i-th of energy storage device in the microgrid in the differential of t moment charged state,It indicates
I-th of energy storage device t moment power,Indicate the charging coefficient of i-th of energy storage device,It indicates i-th
The capacity of energy storage device, dt indicate the differential of time.
8. a kind of energy management apparatus based on energy internet characterized by comprising
First establishes module, for establishing the corresponding linear dynamic model of equipment in microgrid;
Second establishes module, for establishing the energy management control target according to the corresponding linear dynamic model of each equipment;
Management module, for according to the corresponding linear dynamic model of each equipment, energy management control target to be expressed as
Corresponding objective function is asked based on the objective function, the corresponding linear dynamic model of each equipment and operation constraint condition
Solution obtains the optimum control signal of controllable generating equipment in the microgrid, and the optimum control signal is input to the microgrid
Micro-grid system, to carry out energy management to the microgrid.
9. a kind of electronic equipment characterized by comprising
At least one processor;And
At least one processor being connect with the processor communication, in which:
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program to instruct energy
Enough methods executed as described in claim 1 to 7 is any.
10. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction makes the computer execute the method as described in claim 1 to 7 is any.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114172840A (en) * | 2022-01-17 | 2022-03-11 | 河海大学 | Multi-microgrid system energy routing method based on graph theory and deep reinforcement learning |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107491833A (en) * | 2017-07-21 | 2017-12-19 | 清华大学 | A kind of method and apparatus of photovoltaic power generation power prediction |
CN107590570A (en) * | 2017-09-28 | 2018-01-16 | 清华大学 | A kind of bearing power Forecasting Methodology and system |
CN108171384A (en) * | 2017-12-30 | 2018-06-15 | 国网天津市电力公司电力科学研究院 | One kind is based on composite particle swarm optimization algorithm microgrid energy management method |
-
2018
- 2018-10-16 CN CN201811204104.9A patent/CN109274092A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107491833A (en) * | 2017-07-21 | 2017-12-19 | 清华大学 | A kind of method and apparatus of photovoltaic power generation power prediction |
CN107590570A (en) * | 2017-09-28 | 2018-01-16 | 清华大学 | A kind of bearing power Forecasting Methodology and system |
CN108171384A (en) * | 2017-12-30 | 2018-06-15 | 国网天津市电力公司电力科学研究院 | One kind is based on composite particle swarm optimization algorithm microgrid energy management method |
Non-Patent Citations (3)
Title |
---|
HAOCHEN HUA: "Stochastic Optimal Control for Energy Internet: A Bottom-Up Energy Management Approach", 《IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS》 * |
THERESA ODUN-AYO: "Structure-Preserved Power System Transient Stability Using Stochastic Energy Functions", 《IEEE TRANSACTIONS ON POWER SYSTEMS》 * |
曹军威: "能源互联网大数据分析技术综述", 《南方电网技术》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114172840A (en) * | 2022-01-17 | 2022-03-11 | 河海大学 | Multi-microgrid system energy routing method based on graph theory and deep reinforcement learning |
CN114172840B (en) * | 2022-01-17 | 2022-09-30 | 河海大学 | Multi-microgrid system energy routing method based on graph theory and deep reinforcement learning |
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