CN109687453A - Distributed energy cluster energy management method, system and device and readable storage medium storing program for executing - Google Patents
Distributed energy cluster energy management method, system and device and readable storage medium storing program for executing Download PDFInfo
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- CN109687453A CN109687453A CN201910067498.6A CN201910067498A CN109687453A CN 109687453 A CN109687453 A CN 109687453A CN 201910067498 A CN201910067498 A CN 201910067498A CN 109687453 A CN109687453 A CN 109687453A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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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]
Abstract
This application discloses a kind of distributed energy cluster energy management methods, system and device and computer readable storage medium, utilize power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device charge-discharge electric power and distributed power generation unit active power output predicted value, obtain distributed energy cluster main body benefit and virtual plant operator total revenue, utilize the interest game relationship between distributed energy cluster main body benefit and virtual plant operator total revenue, based on Stark Burger leader-followers games model, distributed energy cluster is accounted for virtual plant operator as two main bodys, energy cluster main body benefit is as follower in a distributed manner, virtual plant operator total revenue is as leader, carry out game, it obtains distributed energy cluster main body benefit maximum value and virtual plant operator benefit is maximum Value, has obtained the maximization optimal policy of distributed energy cluster Yu virtual plant benefit, accuracy is higher.
Description
Technical field
The present invention relates to energy management field, in particular to a kind of distributed energy cluster energy management method, system dress
It sets and computer readable storage medium.
Background technique
As the fossil energy in global range is in short supply, problem of environmental pollution is increasingly serious, and distributed energy is with its efficiency
It is used by countries in the world using the features such as reasonable, loss is small, pollutes less, flexible operation, and system economy is good, however,
Although distributed energy is significant compared to " centralization " energy advantages, there is also many problems.Gradually with distributed energy
Clustering and on a large scale, access intelligent distribution network in high proportion, between distributed energy cluster main body and intelligent distribution network
Energy management problem is increasingly significant, and the function of externally presenting and effect are emphasized in the proposition of " virtual plant " this concept, updates fortune
Battalion's theory simultaneously generates economic results in society, application scenarios first is that electricity market.
The existing research based on virtual plant and distributed energy is mostly for a certain unitary class in distributed energy
The energy of type is analyzed, or virtual plant and distributed energy are analyzed its association between bulk power grid as a whole
Adjust optimal control.In the operation of virtual plant, different type distributed energy main body is likely to belong to different proprietary owners,
Scheme in existing technology by virtual plant as the energetic interaction management that an entirety participates in intelligent distribution network has no longer been fitted
It closes, accuracy will have biggish deviation.
Therefore, it is necessary to study consider between distributed energy cluster and virtual plant more accurate under demand response
Energy management strategies.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of distributed energy cluster energy management methods, system and device
And computer readable storage medium, improve accuracy.Its concrete scheme is as follows:
A kind of distributed energy cluster energy management method, comprising:
It obtains power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device charge-discharge electric power and divides
Cloth power generator active power output predicted value;
It is filled using the power grid sale of electricity valence, the power grid power purchase valence, the Demand-side deferrable load, the distributed energy storage
Charge-discharge electric power and the distributed power generation unit active power output predicted value are set, distributed energy cluster main body benefit and void are obtained
Quasi- operator, power plant total revenue;
Based on Stark Burger leader-followers games model, the distributed energy cluster main body benefit, the virtual electricity are utilized
Operator, factory total revenue and the Demand-side deferrable load, using the distributed energy cluster main body benefit as follower, institute
Virtual plant operator total revenue is stated as leader, carries out game, obtain distributed energy cluster main body benefit maximum value and
Virtual plant operator benefit maximum value.
Optionally, it is described using the power grid sale of electricity valence, it is the power grid power purchase valence, the Demand-side deferrable load, described
Distributed energy storage device charge-discharge electric power and the distributed power generation unit active power output predicted value, obtain distributed energy cluster
The process of main body benefit, comprising:
Using the power grid sale of electricity valence and the power grid power purchase valence, virtual plant sale of electricity valence and virtual plant power purchase are obtained
Valence;
It is filled using the Demand-side deferrable load, the distributed energy storage device charge-discharge electric power and the distributed power generation
Active power output predicted value is set, the total net load of distributed energy cluster main body is obtained;
It is always net using the virtual plant sale of electricity valence, the virtual plant power purchase valence and the distributed energy cluster main body
Load, the electricity charge should be paid by obtaining distributed energy cluster;
The electricity charge and the distributed power generation unit active power output predicted value should be paid using the distributed energy cluster, are obtained
The distributed energy cluster main body benefit.
Optionally, described to utilize the power grid sale of electricity valence and the power grid power purchase valence, obtain virtual plant sale of electricity valence and void
The process of quasi- power plant's power purchase valence, comprising:
Using the power grid sale of electricity valence, the power grid power purchase valence, preset virtual plant power purchase valence regulation coefficient and preset
Virtual plant purchase sale of electricity valence regulation coefficient, obtain the virtual plant sale of electricity valence and virtual plant power purchase valence.
Optionally, described to pay the electricity charge and the distributed power generation unit active power output using the distributed energy cluster
Predicted value obtains the process of the distributed energy cluster main body benefit, including;
The electricity charge should be paid using the distributed energy cluster, the distributed power generation unit active power output predicted value, preset
Distributed power generation subsidy coefficient and preset distributed power generation unit electricity consumption effectiveness, obtain the distributed energy cluster main body
Benefit.
Optionally, it is described using the power grid sale of electricity valence, it is the power grid power purchase valence, the Demand-side deferrable load, described
Distributed energy storage device charge-discharge electric power and the distributed power generation unit active power output predicted value, obtain virtual plant operator
The process of total revenue, comprising:
Using the power grid sale of electricity valence, the power grid power purchase valence and the total net load of distributed energy cluster main body, obtain
To virtual plant and power grid income;
Using the distributed energy cluster should pay the electricity charge, the virtual plant and power grid income and virtual plant O&M at
This, obtains virtual plant operator total revenue.
Optionally, it is described be based on Stark Burger leader-followers games model, using the distributed energy cluster main body benefit,
Virtual plant operator total revenue and the Demand-side deferrable load, using the distributed energy cluster main body benefit as
Follower, virtual plant operator total revenue carry out game, obtain distributed energy cluster main body benefit as leader
The process of maximum value and virtual plant operator benefit maximum value, comprising:
Based on Stark Burger leader-followers games model, the distributed energy cluster main body benefit, the virtual electricity are utilized
Operator, factory total revenue and the Demand-side deferrable load substitute into betting model using the Demand-side deferrable load and obtain institute
State distributed energy cluster main body benefit maximum value;
Utilize the distributed energy cluster main body benefit maximum value and the virtual plant power purchase valence regulation coefficient and institute
Virtual plant purchase sale of electricity valence regulation coefficient is stated, the virtual plant operator benefit maximum value is obtained;Wherein,
The betting model are as follows: GV-D={ (F ∪ L);Ps1,...,Psn;Ed1,...,Edn;γVb;γVs;EV};
In formula, GV-DIndicate that betting model, F indicate that the side's of following distributed energy host complex, L indicate the virtual electricity in leading side
Operator, factory, { Ps1,...,PsnIndicate the Demand-side deferrable load, { Ed1,...,EdnIndicate the distributed energy cluster
Main body benefit, γVbAnd γVsRespectively indicate the virtual plant power purchase valence regulation coefficient and virtual plant purchase sale of electricity valence tune
Integral coefficient, EVIndicate virtual plant operator total revenue.
The invention also discloses a kind of distributed energy cluster Energy Management System, comprising:
Module is obtained, for obtaining power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device
Charge-discharge electric power and distributed power generation unit active power output predicted value;
Computing module, for utilizing the power grid sale of electricity valence, the power grid power purchase valence, the Demand-side deferrable load, institute
Distributed energy storage device charge-discharge electric power and the distributed power generation unit active power output predicted value are stated, distributed energy collection is obtained
Group's main body benefit and virtual plant operator total revenue;
Game module is imitated for being based on Stark Burger leader-followers games model using the distributed energy cluster main body
Beneficial, described virtual plant operator's total revenue and the Demand-side deferrable load, with the distributed energy cluster main body benefit
As follower, virtual plant operator total revenue carries out game, obtains distributed energy cluster main body as leader
Benefit maximum value and virtual plant operator benefit maximum value.
Optionally, the computing module, comprising:
Electricity price computing unit obtains virtual plant sale of electricity for utilizing the power grid sale of electricity valence and the power grid power purchase valence
Valence and virtual plant power purchase valence;
Load calculating unit, for utilizing the Demand-side deferrable load, the distributed energy storage device charge-discharge electric power
With the distributed power generation unit active power output predicted value, the total net load of distributed energy cluster main body is obtained;
Electricity charge computing unit, for utilizing the virtual plant sale of electricity valence, the virtual plant power purchase valence and the distribution
The total net load of formula energy cluster main body, the electricity charge should be paid by obtaining distributed energy cluster;
Benefit calculation unit has for that should pay the electricity charge and the distributed power generation unit using the distributed energy cluster
Function power output predicted value, obtains the distributed energy cluster main body benefit.
The invention also discloses a kind of distributed energy cluster energy management apparatus, comprising:
Memory, for storing computer program;
Processor, for executing the computer program to realize distributed energy cluster as the aforementioned energy management side
Method.
The invention also discloses a kind of computer readable storage medium, meter is stored on the computer readable storage medium
Calculation machine program realizes the step such as aforementioned distributed energy cluster energy management method when the computer program is executed by processor
Suddenly.
In the present invention, distributed energy cluster energy management method, comprising: obtain power grid sale of electricity valence, power grid power purchase valence, need
Ask side deferrable load, distributed energy storage device charge-discharge electric power and distributed power generation unit active power output predicted value;Utilize power grid
Sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device charge-discharge electric power and distributed power generation unit are active
Power output predicted value, obtains distributed energy cluster main body benefit and virtual plant operator total revenue;Based on Stark Burger master
From betting model, using distributed energy cluster main body benefit, virtual plant operator total revenue and Demand-side deferrable load, with
Distributed energy cluster main body benefit carries out game, obtains as follower, virtual plant operator total revenue as leader
Distributed energy cluster main body benefit maximum value and virtual plant operator benefit maximum value.
The present invention utilizes power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device charge and discharge electric work
Rate and distributed power generation unit active power output predicted value, obtain distributed energy cluster main body benefit and virtual plant operator is total
Income is based on using the interest game relationship between distributed energy cluster main body benefit and virtual plant operator total revenue
Stark Burger leader-followers games model examines distributed energy cluster with virtual plant operator as two main bodys
Consider, energy cluster main body benefit is won as follower, virtual plant operator total revenue as leader in a distributed manner
It plays chess, obtains distributed energy cluster main body benefit maximum value and virtual plant operator benefit maximum value, obtained distributed energy
The maximization optimal policy of source cluster and virtual plant benefit, accuracy are higher.
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 only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of distributed energy cluster energy management method flow diagram disclosed by the embodiments of the present invention;
Fig. 2 is a kind of distributed energy cluster Ems Architecture schematic diagram disclosed by the embodiments of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It is shown in Figure 1 the embodiment of the invention discloses a kind of distributed energy cluster energy management method, comprising:
S11: power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device charge-discharge electric power are obtained
With distributed power generation unit active power output predicted value.
Specifically, according to the load variations situation of power grid obtain power grid day part tou power price include power grid sale of electricity valence and
Power grid power purchase valence;Wherein,
Power grid sale of electricity valence expression formula can be with are as follows:
Power grid power purchase valence expression formula can be with are as follows:
In formula, pgsFor power grid sale of electricity valence, pgbFor power grid power purchase valence,Indicate H hours power grid sale of electricity valences,It indicates
H hours power grid power purchase valences.
Wherein, according to current distributed generation resource remaining electricity online policy, power purchase valence be it is indeclinable, i.e.,
Specifically, available Demand-side deferrable load, Demand-side may include connecting with power grid by summarizing and recording
Each electrical equipment, for example, the various electrical equipments such as factory or resident;Wherein,
Demand-side deferrable load expression formula can be with are as follows:
Wherein, PsiMeet
In formula, PsiIt indicates Demand-side deferrable load, is considered a continuous variable,Indicate that t hours Demand-sides can
Load is adjusted,ForValue range, [αi,βi] be translatable load optional time interval.
Specifically, distributed energy storage device includes such as energy-storage battery device;Wherein,
Distributed energy storage device charge-discharge electric power expression formula can be with are as follows:
Wherein, charge and discharge constraint can be with are as follows: PE,min≤PEi≤PE,max;
In formula, PEiIndicate the charge-discharge electric power of i-th of distributed energy storage device, PE,min, PE,maxRespectively distributed energy storage
The charge-discharge electric power bound of device.
Specifically, distributed power generation unit may include generation of electricity by new energy device, for example, wind power generation plant or photovoltaic hair
Electric installation, for that good can be adjusted, there is distributed power generation unit since distributed power generation unit generated energy is unstable
Function power output is predicted, distributed power generation unit active power output value is obtained;Wherein,
Distributed power generation unit active power output value expression can be with are as follows: Pi=[Pi 1..., Pi H], i ∈ [1,2 ..., n];
In formula, PiIndicate i-th of photo-voltaic power supply active power output predicted value.
It is understood that the power grid sale of electricity valence obtained, power grid power purchase valence, Demand-side deferrable load, distributed energy storage dress
The data such as charge-discharge electric power and distributed power generation unit active power output predicted value are set, can be one day and obtain 24 hours often for unit
The data of hour.
S12: power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device charge-discharge electric power are utilized
With distributed power generation unit active power output predicted value, obtains distributed energy cluster main body benefit and virtual plant operator always receives
Benefit.
It should be noted that utilizing power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device
Charge-discharge electric power and distributed power generation unit active power output predicted value, obtain be distributed energy cluster main body benefit and it is virtual
The expression formula or model of operator, power plant total revenue, it is total to embody distributed energy cluster main body benefit and virtual plant operator
Income and known power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device charge-discharge electric power and point
Relationship between each parameter of cloth power generator active power output predicted value, so that by rich based on Stark Burger principal and subordinate in S13
Model is played chess, is divided using distributed energy cluster main body benefit, virtual plant operator total revenue and Demand-side deferrable load
Cloth energy cluster main body benefit maximum value and virtual plant operator benefit maximum value.
S13: being based on Stark Burger leader-followers games model, is transported using distributed energy cluster main body benefit, virtual plant
Quotient's total revenue and Demand-side deferrable load are sought, energy cluster main body benefit is as follower, virtual plant operator in a distributed manner
Total revenue carries out game as leader, obtains distributed energy cluster main body benefit maximum value and virtual plant operator effect
Beneficial maximum value.
Specifically, utilizing power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device charge and discharge
Power and distributed power generation unit active power output predicted value can respectively obtain distributed energy cluster as basic input data
Main body benefit and virtual plant operator total revenue;In distributed energy virtual plant, virtual plant operator and distribution
Energy cluster main body is two independent Interest Main Bodies, and distributed energy main body adjusts itself translatable load according to Spot Price
With the maximized target of seeking results, and itself benefit maximum is pursued by setting sale of electricity valence and power purchase valence regulation coefficient by operator
Change;Since the optimization process of distributed energy needs premised on the power purchase valence of virtual plant operator and sale of electricity valence, and run
The benefit of quotient is also influenced by distributed energy main body deferrable load electricity consumption arrangement simultaneously, therefore, there are interests therebetween
Game;Since virtual plant is as the manager to distributed energy, there are refusal, therefore virtual plant and distribution
The game of the energy may be configured as a Stark Burger leader-followers games, pass through the available distribution of Stark Burger leader-followers games
Energy cluster main body benefit maximum value and virtual plant operator benefit maximum value, to obtain optimal solution.
As it can be seen that the embodiment of the present invention utilizes power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage
Device charge-discharge electric power and distributed power generation unit active power output predicted value obtain distributed energy cluster main body benefit and virtual
Operator, power plant total revenue, it is rich using the interests between distributed energy cluster main body benefit and virtual plant operator total revenue
Relationship is played chess, Stark Burger leader-followers games model is based on, using distributed energy cluster and virtual plant operator as two
A main body accounts for, and energy cluster main body benefit is as follower in a distributed manner, and virtual plant operator total revenue is as master
The person of leading carries out game, obtains distributed energy cluster main body benefit maximum value and virtual plant operator benefit maximum value, obtain
The maximization optimal policy of distributed energy cluster and virtual plant benefit, accuracy are higher.
The embodiment of the invention discloses a kind of specific distributed energy cluster energy management methods, implement relative to upper one
Example, the present embodiment have made further instruction and optimization to technical solution.It is specific:
Specifically, above-mentioned S12 utilizes power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device
Charge-discharge electric power and distributed power generation unit active power output predicted value, obtain the process of distributed energy cluster main body benefit, can
To specifically include S121 to S124;Wherein,
S121: power grid sale of electricity valence and power grid power purchase valence are utilized, virtual plant sale of electricity valence and virtual plant power purchase valence are obtained.
Specifically, utilizing power grid sale of electricity valence, power grid power purchase valence, preset virtual plant power purchase valence regulation coefficient and preset
Virtual plant purchases sale of electricity valence regulation coefficient, and it is virtually electric that power grid sale of electricity valence and virtual plant purchase sale of electricity valence regulation coefficient are substituted into unit
Factory's sale of electricity valence calculation formula, available unit virtual plant sale of electricity valence, virtual plant sale of electricity valence are just that unit virtual plant is sold
The set of electricity price obtains virtual plant sale of electricity valence according to unit virtual plant sale of electricity valence, by power grid power purchase valence and virtual electricity
Factory's power purchase valence regulation coefficient substitutes into unit virtual plant power purchase valence calculation formula, and virtual plant power purchase valence is just unit virtual plant
The set of power purchase valence obtains unit virtual plant power purchase valence according to unit virtual plant power purchase valence;Wherein,
Virtual plant sale of electricity valence expression formula can be with are as follows:
Virtual plant power purchase valence expression formula can be with are as follows:
Unit virtual plant sale of electricity valence calculation formula can be with are as follows:
Unit virtual plant power purchase valence calculation formula can be with are as follows:
In formula, pVsFor the sale of electricity valence of virtual plant operator, pVbFor the power purchase valence of virtual plant operator,Indicate h
Hour virtual plant sale of electricity valence,Indicate h hours virtual plant power purchase valences,γVbIt is virtual
The power purchase valence regulation coefficient of operator, power plant, γVsFor the sale of electricity valence regulation coefficient of virtual plant operator, meet γVs+γVb<
1。
S122: active using Demand-side deferrable load, distributed energy storage device charge-discharge electric power and distributed power generation unit
Power output predicted value, obtains the total net load of distributed energy cluster main body.
Specifically, by each distributed power generation unit Demand-side deferrable load hourly, distributed energy storage device charge and discharge
Electrical power and distributed power generation unit active power output predicted value substitute into the total net load calculation formula of distributed energy cluster main body, obtain
Each main body in distributed power generation unit into distributed energy cluster, i.e., the unit main body net load of each power generator, point
The cloth total net load of energy cluster main body is the set of all unit main body net loads, according to unit main body net load and then is obtained
The total net load of distributed energy cluster main body.
The total net load calculation formula of distributed energy cluster main body are as follows:
In formula,Indicate the total net load of distributed energy cluster main body,Indicate that unit main body net load, i indicate distribution
I-th of distributed power generation unit main body in formula energy cluster.
S123: virtual plant sale of electricity valence, virtual plant power purchase valence and the total net load of distributed energy cluster main body are utilized, is obtained
The electricity charge should be paid to distributed energy cluster.
Specifically, will always be born only using virtual plant sale of electricity valence, virtual plant power purchase valence and distributed energy cluster main body
Lotus substitutes into electricity charge calculation formula, and the electricity charge should be paid by obtaining distributed energy cluster;Wherein,
Electricity charge calculation formula are as follows:
In formula,Based on the electric power expense paid at h hours to virtual plant operator of i, i.e. distributed energy collection
Group should pay the electricity charge.
It is understood that it is that each main body is answered per hour in distributed energy cluster that distributed energy cluster, which should pay the electricity charge,
The set of the electricity charge is paid, therefore, is calculated after main body should pay the electricity charge using electricity charge calculation formula, distributed energy cluster can be obtained
The electricity charge should be paid.
S124: the electricity charge and distributed power generation unit active power output predicted value should be paid using distributed energy cluster, are divided
Cloth energy cluster main body benefit.
Specifically, the revenue stream of distributed energy cluster main body is mainly that electricity consumption effectiveness and photovoltaic are subsidized, cost is purchase
The electricity charge are used, and therefore, should pay the electricity charge, distributed power generation unit active power output predicted value, preset point using distributed energy cluster
Cloth power generation subsidy coefficient and preset distributed power generation unit electricity consumption effectiveness, substitute into main body unit benefit calculation formula, obtain
Main body unit benefit, due to unit benefit set based on distributed energy cluster main body benefit, according to main body unit benefit into
And obtain distributed energy cluster main body benefit;Wherein,
Main body unit benefit calculation formula are as follows:
Distributed energy cluster main body benefit expression formula are as follows:
In formula, EuiFor distributed energy cluster main body benefit, i.e. the main body i at the appointed time total benefit in section,For
Main body unit benefit, i.e. benefit of the main body i at h hours, Pi hThe photovoltaic subsidy that i was obtained at h hours based on α, α are defeated
With distributed photovoltaic degree electricity subsidy standard,Based on i electricity consumption effectiveness,For the energy consumption of h hours main body i, ki
Based on i preference coefficient.
Specifically, above-mentioned S12 utilizes power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device
Charge-discharge electric power and distributed power generation unit active power output predicted value, obtain the process of virtual plant operator total revenue, can be with
Specifically include S125 and S126;Wherein,
S125: power grid sale of electricity valence, power grid power purchase valence and the total net load of distributed energy cluster main body are utilized, virtual electricity is obtained
Factory and power grid income.
Specifically, virtual plant operator mainly by the electricity transaction with distributed energy and is directed to intelligent distribution network
The ancillary services such as peak load shifting obtain income, wherein virtual plant operator and power grid carry out electricity transaction and to distribution
It is to utilize power grid sale of electricity valence, power grid power purchase valence and distributed energy cluster master that net, which provides the income that peak load shifting ancillary service generates,
The total net load of body substitutes into virtual plant and power grid profit calculating formula, obtains virtual plant and power grid income;Wherein,
Virtual plant and power grid profit calculating formula are as follows:
In formula,Electricity transaction is carried out for virtual plant operator and power grid and provides peak load shifting auxiliary to power distribution network
Service the income generated, i.e. virtual plant and power grid income.
S126: should pay the electricity charge, virtual plant and power grid income and virtual plant O&M cost using distributed energy cluster,
Obtain virtual plant operator total revenue.
Specifically, the income that virtual plant operator and distributed energy cluster main body carry out electricity transaction generation is point
Cloth energy cluster should pay the electricity charge, so virtual plant operator total revenue includes that distributed energy cluster should pay the electricity charge and virtual
Power plant and power grid income, meanwhile, virtual plant operation also needs also to need virtual plant O&M cost, therefore, virtual plant operator
Total revenue should pay the electricity charge equal to distributed energy cluster and the sum of virtual plant and power grid income subtract virtual plant O&M cost,
So distributed energy cluster should be paid the electricity charge, virtual plant and power grid income and virtual plant O&M cost substitution total revenue
Calculation formula, obtains virtual plant operator total revenue per hour, and virtual plant operator total revenue is virtual plant operator
The set of total revenue per hour total revenue and then obtains virtual plant operator and always receives per hour according to virtual plant operator
Benefit;Wherein,
Profit calculating formula are as follows:
Virtual plant operator and distributed energy cluster main body carry out the income expression formula of electricity transaction generation are as follows:
Virtual plant operator total revenue expression formula are as follows:
In formula,For the income of h hours virtual plant operators, i.e. virtual plant operator total revenue per hour, EV
For the total revenue of virtual plant operator in specified time interval, i.e. virtual plant operator total revenue,For virtual plant fortune
It seeks quotient and distributed energy cluster main body carries out the income of electricity transaction generation, ChIt is virtual plant operator at h hours
O&M cost, i.e. virtual plant O&M cost.
Wherein, virtual plant O&M cost is obtained previously according to virtual plant operator history O&M cost.
Specifically, above-mentioned S13 be based on Stark Burger leader-followers games model, using distributed energy cluster main body benefit,
Virtual plant operator total revenue and Demand-side deferrable load, energy cluster main body benefit is as follower in a distributed manner, virtually
Operator, power plant total revenue carries out game as leader, obtains distributed energy cluster main body benefit maximum value and virtual electricity
The process of operator, factory benefit maximum value, can specifically include S131 and S132;Wherein,
S131: being based on Stark Burger leader-followers games model, is transported using distributed energy cluster main body benefit, virtual plant
Quotient's total revenue and Demand-side deferrable load are sought, betting model is substituted into using Demand-side deferrable load and obtains distributed energy cluster
Main body benefit maximum value;
S132: distributed energy cluster main body benefit maximum value and virtual plant power purchase valence regulation coefficient and virtual electricity are utilized
Factory purchases sale of electricity valence regulation coefficient, obtains virtual plant operator benefit maximum value;Wherein,
Betting model are as follows: GV-D={ (F ∪ L);Ps1,...,Psn;Ed1,...,Edn;γVb;γVs;EV};
In formula, GV-DIndicate betting model, F indicates the side's of following distributed energy host complex that is, L indicates that leading side is virtual
Operator, power plant, { Ps1,...,PsnIndicate Demand-side deferrable load be set F in each distributed energy cluster main body can
Adjust load values strategy set, wherein main body can therefrom select the strategy of itself, { Ed1,...,EdnIndicate distributed energy
Cluster main body benefit, γVbAnd γVsIt respectively indicates virtual plant power purchase valence regulation coefficient and bidding price adjustment system is sold in virtual plant purchase
The set of strategies of Shuo Ji virtual plant operator, EVIndicate virtual plant operator total revenue.
Correspondingly, the embodiment of the invention also discloses a kind of distributed energy cluster Energy Management System, institute referring to fig. 2
Show, which includes:
Module is obtained, for obtaining power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device
Charge-discharge electric power and distributed power generation unit active power output predicted value;
Computing module, for utilizing power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device
Charge-discharge electric power and distributed power generation unit active power output predicted value, obtain distributed energy cluster main body benefit and virtual plant
Operator's total revenue;
Game module utilizes distributed energy cluster main body benefit, void for being based on Stark Burger leader-followers games model
Quasi- operator, power plant total revenue and Demand-side deferrable load, energy cluster main body benefit is as follower, virtual electricity in a distributed manner
Operator, factory total revenue carries out game, obtains distributed energy cluster main body benefit maximum value and virtual plant as leader
Operator's benefit maximum value.
Specifically, above-mentioned computing module, may include electricity price computing unit, load calculating unit, electricity charge computing unit and
Benefit calculation unit;Wherein,
Electricity price computing unit obtains virtual plant sale of electricity valence and virtual for utilizing power grid sale of electricity valence and power grid power purchase valence
Power plant's power purchase valence;
Load calculating unit, for utilizing Demand-side deferrable load, distributed energy storage device charge-discharge electric power and distribution
Power generator active power output predicted value obtains the total net load of distributed energy cluster main body;
Electricity charge computing unit, for utilizing virtual plant sale of electricity valence, virtual plant power purchase valence and distributed energy cluster master
The total net load of body, the electricity charge should be paid by obtaining distributed energy cluster;
Benefit calculation unit, for the electricity charge should to be paid using distributed energy cluster and distributed power generation unit active power output is pre-
Measured value obtains distributed energy cluster main body benefit.
Specifically, above-mentioned electricity price computing unit, can be specifically used for utilizing power grid sale of electricity valence, power grid power purchase valence, preset
Virtual plant power purchase valence regulation coefficient and preset virtual plant purchase sale of electricity valence regulation coefficient, obtain virtual plant sale of electricity valence and void
Quasi- power plant's power purchase valence.
Specifically, above-mentioned benefit calculation unit, can be specifically used for that the electricity charge, distribution should be paid using distributed energy cluster
Power generator active power output predicted value, preset distributed power generation subsidy coefficient and preset distributed power generation unit electricity consumption effect
With obtaining distributed energy cluster main body benefit.
Further, above-mentioned computing module can also specifically include income calculation unit and total revenue computing unit;Its
In,
Income calculation unit, for always being born only using power grid sale of electricity valence, power grid power purchase valence and distributed energy cluster main body
Lotus obtains virtual plant and power grid income;
Total revenue computing unit, for the electricity charge, virtual plant and power grid income and void should to be paid using distributed energy cluster
Quasi- power plant's O&M cost, obtains virtual plant operator total revenue.
Further, above-mentioned game module, can specific main body benefit calculation unit and profit from power plant computing unit;Its
In,
Main body benefit calculation unit utilizes distributed energy cluster master for being based on Stark Burger leader-followers games model
Body benefit, virtual plant operator total revenue and Demand-side deferrable load substitute into betting model, using Demand-side deferrable load,
Obtain distributed energy cluster main body benefit maximum value;
Profit from power plant computing unit, for utilizing distributed energy cluster main body benefit maximum value and virtual plant power purchase valence
Regulation coefficient and virtual plant purchase sale of electricity valence regulation coefficient, obtain virtual plant operator benefit maximum value;Wherein,
Betting model are as follows: GV-D={ (F ∪ L);Ps1,...,Psn;Ed1,...,Edn;γVb;γVs;EV};
In formula, GV-DIndicate that betting model, F indicate that the side's of following distributed energy host complex, L indicate the virtual electricity in leading side
Operator, factory, { Ps1,...,PsnIndicate Demand-side deferrable load, { Ed1,...,EdnIndicate distributed energy cluster main body effect
Benefit, γVbAnd γVsRespectively indicate virtual plant power purchase valence regulation coefficient and virtual plant purchase sale of electricity valence regulation coefficient, EVIndicate empty
Quasi- operator, power plant total revenue.
In addition, the embodiment of the invention also discloses a kind of distributed energy cluster energy management apparatus, comprising:
Memory, for storing computer program;
Processor realizes distributed energy cluster energy management method as the aforementioned for executing computer program.
In addition, the embodiment of the invention also discloses a kind of computer readable storage medium, on computer readable storage medium
It is stored with computer program, such as aforementioned distributed energy cluster energy management method is realized when computer program is executed by processor
The step of.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning
Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that
A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except there is also other identical elements in the process, method, article or apparatus that includes the element.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond the scope of this invention.
It above can to a kind of distributed energy cluster energy management method provided by the present invention, system and device and computer
It reads storage medium to be described in detail, specific case used herein explains the principle of the present invention and embodiment
It states, the above description of the embodiment is only used to help understand the method for the present invention and its core ideas;Meanwhile for this field
Those skilled in the art, according to the thought of the present invention, there will be changes in the specific implementation manner and application range, to sum up institute
It states, the contents of this specification are not to be construed as limiting the invention.
Claims (10)
1. a kind of distributed energy cluster energy management method characterized by comprising
Obtain power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device charge-discharge electric power and distribution
Power generator active power output predicted value;
It is filled using the power grid sale of electricity valence, the power grid power purchase valence, the Demand-side deferrable load, the distributed energy storage device
Discharge power and the distributed power generation unit active power output predicted value obtain distributed energy cluster main body benefit and virtual electricity
Operator, factory total revenue;
Based on Stark Burger leader-followers games model, transported using the distributed energy cluster main body benefit, the virtual plant
Seek quotient's total revenue and the Demand-side deferrable load, using the distributed energy cluster main body benefit as follower, the void
Quasi- operator, power plant total revenue is used as leader, carries out game, obtains distributed energy cluster main body benefit maximum value and virtually
Operator, power plant benefit maximum value.
2. distributed energy cluster energy management method according to claim 1, which is characterized in that described to utilize the electricity
Net sale of electricity valence, the power grid power purchase valence, the Demand-side deferrable load, the distributed energy storage device charge-discharge electric power and described
Distributed power generation unit active power output predicted value obtains the process of distributed energy cluster main body benefit, comprising:
Using the power grid sale of electricity valence and the power grid power purchase valence, virtual plant sale of electricity valence and virtual plant power purchase valence are obtained;
Have using the Demand-side deferrable load, the distributed energy storage device charge-discharge electric power and the distributed power generation unit
Function power output predicted value, obtains the total net load of distributed energy cluster main body;
It is always born only using the virtual plant sale of electricity valence, the virtual plant power purchase valence and the distributed energy cluster main body
Lotus, the electricity charge should be paid by obtaining distributed energy cluster;
The electricity charge and the distributed power generation unit active power output predicted value should be paid using the distributed energy cluster, are obtained described
Distributed energy cluster main body benefit.
3. distributed energy cluster energy management method according to claim 2, which is characterized in that described to utilize the electricity
Net sale of electricity valence and the power grid power purchase valence, obtain the process of virtual plant sale of electricity valence and virtual plant power purchase valence, comprising:
Utilize the power grid sale of electricity valence, the power grid power purchase valence, preset virtual plant power purchase valence regulation coefficient and preset void
Quasi- power plant purchases sale of electricity valence regulation coefficient, obtains the virtual plant sale of electricity valence and virtual plant power purchase valence.
4. distributed energy cluster energy management method according to claim 3, which is characterized in that described to utilize described point
Cloth energy cluster should pay the electricity charge and the distributed power generation unit active power output predicted value, obtain the distributed energy cluster
The process of main body benefit, including;
The electricity charge, the distributed power generation unit active power output predicted value, preset point should be paid using the distributed energy cluster
Cloth power generation subsidy coefficient and preset distributed power generation unit electricity consumption effectiveness obtain the distributed energy cluster main body effect
Benefit.
5. distributed energy cluster energy management method according to claim 4, which is characterized in that described to utilize the electricity
Net sale of electricity valence, the power grid power purchase valence, the Demand-side deferrable load, the distributed energy storage device charge-discharge electric power and described
Distributed power generation unit active power output predicted value, obtains the process of virtual plant operator total revenue, comprising:
Using the power grid sale of electricity valence, the power grid power purchase valence and the total net load of distributed energy cluster main body, void is obtained
Quasi- power plant and power grid income;
The electricity charge, the virtual plant and power grid income and virtual plant O&M cost should be paid using the distributed energy cluster,
Obtain virtual plant operator total revenue.
6. distributed energy cluster energy management method according to claim 5, which is characterized in that described to be based on Stark
Burger leader-followers games model utilizes the distributed energy cluster main body benefit, virtual plant operator total revenue and institute
Demand-side deferrable load is stated, using the distributed energy cluster main body benefit as follower, the virtual plant operator is total
Income carries out game, obtains distributed energy cluster main body benefit maximum value and virtual plant operator benefit as leader
The process of maximum value, comprising:
Based on Stark Burger leader-followers games model, transported using the distributed energy cluster main body benefit, the virtual plant
Quotient's total revenue and the Demand-side deferrable load are sought, betting model is substituted into, using the Demand-side deferrable load, obtains described point
Cloth energy cluster main body benefit maximum value;
Utilize the distributed energy cluster main body benefit maximum value and the virtual plant power purchase valence regulation coefficient and the void
Quasi- power plant purchases sale of electricity valence regulation coefficient, obtains the virtual plant operator benefit maximum value;Wherein,
The betting model are as follows: GV-D={ (F ∪ L);Ps1,...,Psn;Ed1,...,Edn;γVb;γVs;EV};
In formula, GV-DIndicate that betting model, F indicate that the side's of following distributed energy host complex, L indicate leading square virtual plant fortune
Seek quotient, { Ps1,...,PsnIndicate the Demand-side deferrable load, { Ed1,...,EdnIndicate the distributed energy cluster main body
Benefit, γVbAnd γVsIt respectively indicates the virtual plant power purchase valence regulation coefficient and bidding price adjustment system is sold in virtual plant purchase
Number, EVIndicate virtual plant operator total revenue.
7. a kind of distributed energy cluster Energy Management System characterized by comprising
Module is obtained, for obtaining power grid sale of electricity valence, power grid power purchase valence, Demand-side deferrable load, distributed energy storage device charge and discharge
Electrical power and distributed power generation unit active power output predicted value;
Computing module, for utilizing the power grid sale of electricity valence, the power grid power purchase valence, the Demand-side deferrable load, described point
Cloth energy storage device charge-discharge electric power and the distributed power generation unit active power output predicted value, obtain distributed energy cluster master
Body benefit and virtual plant operator total revenue;
Game module utilizes the distributed energy cluster main body benefit, institute for being based on Stark Burger leader-followers games model
State virtual plant operator total revenue and the Demand-side deferrable load, using the distributed energy cluster main body benefit as with
With person, virtual plant operator total revenue carries out game, obtains distributed energy cluster main body benefit most as leader
Big value and virtual plant operator benefit maximum value.
8. distributed energy cluster Energy Management System according to claim 7, which is characterized in that the computing module,
Include:
Electricity price computing unit, for utilize the power grid sale of electricity valence and the power grid power purchase valence, obtain virtual plant sale of electricity valence and
Virtual plant power purchase valence;
Load calculating unit, for utilizing the Demand-side deferrable load, the distributed energy storage device charge-discharge electric power and institute
Distributed power generation unit active power output predicted value is stated, the total net load of distributed energy cluster main body is obtained;
Electricity charge computing unit, for utilizing the virtual plant sale of electricity valence, the virtual plant power purchase valence and the distributed energy
The total net load of source cluster main body, the electricity charge should be paid by obtaining distributed energy cluster;
Benefit calculation unit, for using the distributed energy cluster should pay the electricity charge and the distributed power generation unit it is active go out
Power predicted value obtains the distributed energy cluster main body benefit.
9. a kind of distributed energy cluster energy management apparatus characterized by comprising
Memory, for storing computer program;
Processor, for executing the computer program to realize such as distributed energy collection as claimed in any one of claims 1 to 6
Group energy quantity management method.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program realizes the distributed energy collection group energy as described in any one of claim 1 to 6 when the computer program is executed by processor
The step of quantity management method.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112749848A (en) * | 2021-01-18 | 2021-05-04 | 深圳供电局有限公司 | Method and system for predicting annual income of virtual power plant |
CN112785094A (en) * | 2021-03-09 | 2021-05-11 | 南京工程学院 | Photovoltaic energy storage power station capacity configuration optimization method based on Stark-Berger game |
CN113435651A (en) * | 2021-06-30 | 2021-09-24 | 南京理工大学 | Three-stage multi-subject optimized game method and system considering user comfort for virtual power plant |
CN117522087A (en) * | 2024-01-05 | 2024-02-06 | 中建科工集团有限公司 | Virtual power plant resource allocation method, device, equipment and medium |
CN117522087B (en) * | 2024-01-05 | 2024-05-03 | 中建科工集团有限公司 | Virtual power plant resource allocation method, device, equipment and medium |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107609779A (en) * | 2017-09-21 | 2018-01-19 | 国网上海市电力公司 | A kind of comprehensive benefit assessment method of distributed energy management system |
CN108764734A (en) * | 2018-05-30 | 2018-11-06 | 南方电网科学研究院有限责任公司 | A kind of integrated energy system interactive simulation method and device based on leader-followers games |
-
2019
- 2019-01-24 CN CN201910067498.6A patent/CN109687453A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107609779A (en) * | 2017-09-21 | 2018-01-19 | 国网上海市电力公司 | A kind of comprehensive benefit assessment method of distributed energy management system |
CN108764734A (en) * | 2018-05-30 | 2018-11-06 | 南方电网科学研究院有限责任公司 | A kind of integrated energy system interactive simulation method and device based on leader-followers games |
Non-Patent Citations (4)
Title |
---|
LI MA,ET AL: "Energy Management for Joint Operation of CHP", 《IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS》 * |
蔡旭 等: "《区域智能电网技术》", 31 October 2018 * |
马丽 等: "基于主从博弈策略的社区能源互联网分布式能量管理", 《电网技术》 * |
马丽: "基于博弈论的智能配用电系统优化运行方法", 《中国优秀博硕士学位论文全文数据库(博士) 工程科技Ⅱ辑》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112749848A (en) * | 2021-01-18 | 2021-05-04 | 深圳供电局有限公司 | Method and system for predicting annual income of virtual power plant |
CN112785094A (en) * | 2021-03-09 | 2021-05-11 | 南京工程学院 | Photovoltaic energy storage power station capacity configuration optimization method based on Stark-Berger game |
CN113435651A (en) * | 2021-06-30 | 2021-09-24 | 南京理工大学 | Three-stage multi-subject optimized game method and system considering user comfort for virtual power plant |
CN117522087A (en) * | 2024-01-05 | 2024-02-06 | 中建科工集团有限公司 | Virtual power plant resource allocation method, device, equipment and medium |
CN117522087B (en) * | 2024-01-05 | 2024-05-03 | 中建科工集团有限公司 | Virtual power plant resource allocation method, device, equipment and medium |
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