CN108428013A - A kind of more market robust Bidding systems of photo-thermal power station containing hot energy storage - Google Patents
A kind of more market robust Bidding systems of photo-thermal power station containing hot energy storage Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of more market robust Bidding systems of photo-thermal power station containing hot energy storage and devices, solve the technical problem that photo-thermal power station faces the dual uncertainty of sunlight-heat reaources and market guidance during participating in electricity market and submitting a tender.
Description
Technical field
The present invention relates to electricity market technical field more particularly to a kind of more market robusts of photo-thermal power station containing hot energy storage
Bidding system and device.
Background technology
It establishes scientific and reasonable based on real-time spot market and assisted hatching being a few days ago power market reform
Vital task, many provinces and cities in the construction for actively preparing spot market and assisted hatching, formulate more scientific and reasonable
Market mechanism instructs the orderly function in market with supply-demand relationship.Establish the energy market and auxiliary of just, fair and open competition
Service market is must be with crucial task.
By taking the market mechanism of Dezhou electricity market (ERCOT) as an example, it is assumed that photo-thermal power station is price takers, is joined simultaneously
With energy market a few days ago, rotation standby market and frequency modulation market.Energy and assisted hatching are combined by power system dispatching organisation a few days ago
Clearly.The ancillary service provided includes by photo-thermal power station：Spinning reserve service (Responsive Reserve Service,
RRS), up-regulation is taken in small doses at short intervals business (Regulation Up Service, Reg-Up) and downward is taken in small doses at short intervals business (Regulation Down
Service, Reg-Down).Photo-thermal power station needs while ensureing to be middle target ancillary service capacity reservation enough power and energy
Amount.According to the requirement of ERCOT, spinning reserve service should at least can continuous service 30 minutes, and frequency modulation service can should at least continue
Operation 2 minutes.In addition, the spinning reserve capacity that unit provides must not exceed its sustainable output upper limit (high sustained
Limit, HSL) 24%, the response time of frequency regulation capacity must be within 5 minutes.The bid of ahead market must be in operation day
The ahead market of the previous day is closed forward direction system scheduling institution and is submitted.
ERCOT is also equipped with real-time power market and supplement auxiliary clothes in the real-time adjusting stage (adjustment period)
It is engaged in market (supplemental ancillary service markets, SASMs).When ERCOT has found ancillary service not
Foot, when determining the ancillary service capacity before real time execution outside volumn of purchase, photo-thermal power station can be in supplement assisted hatching
Middle submission incremental bidding (incremental offer).But photo-thermal power station cannot be placed hope in the adjusting stage to a few days ago auxiliary
It helps the middle scalar component of service substantially to be changed, because supplement assisted hatching is small, and exists greatly not
Certainty.Thus, it is supposed that target ancillary service is reasonable during photo-thermal power station strictly fulfils it a few days ago.
Solar light-heat power-generation (concentrating solar power, CSP) is another other than photovoltaic generation
The solar energy generation technology of the great application prospect of kind.Photo-thermal power station converts luminous energy aggregation to thermal energy, manufactures steam drive steamer
Machine generates electricity, and heat exchange link therein makes photo-thermal power station have and hot energy storage (thermal energy storage, TES)
In conjunction with natural endowment.Hot energy storage imparts photo-thermal power station adjustability and flexibility so that photo-thermal power station can not only be provided and be held
Continuous smooth output, can also provide the ancillary services such as spinning reserve, frequency modulation (ancillary service, AS) for system.
Photo-thermal power station provides on the one hand flexibility that ancillary service will increase system for system, on the other hand will also enrich
The revenue source of photo-thermal power station promotes its economy.But the capacity of hot energy storage is limited, if photo-thermal power station is too much
The flexibility of itself is supplied to system, when the prediction error of illumination resource is larger or fluctuation occurs, photo-thermal electricity
Flexibility deficiency may be faced and the scene for abandoning light of having to by standing.Abandoning light means the damage of present or future energy market income
It loses.Therefore, in order to maximize market income, photo-thermal power station must flexibility is supplied to system and retain flexibility with
It should weigh between the uncertainty of sunlight-heat reaources.Not only photo-thermal power station, in power grid it is other it is any have both it is uncertain
Property and the resource of flexibility all suffer from this tradeoff.
Therefore, those skilled in the art need to propose a kind of more market robust Bidding systems of the photo-thermal power station containing hot energy storage
The dual uncertainty of sunlight-heat reaources and market guidance is faced to solve photo-thermal power station during participating in electricity market and submitting a tender
The technical issues of.
Invention content
The present invention provides a kind of more market robust Bidding systems of photo-thermal power station containing hot energy storage and devices, solve light
Dual probabilistic technology that thermo-power station faces sunlight-heat reaources and market guidance during participating in electricity market and submitting a tender is asked
Topic.
The present invention provides a kind of more market robust Bidding systems of photo-thermal power station containing hot energy storage, including：
Based on the random optimization method of more scenes, market guidance model is established；
Robust optimization based on interval prediction establishes available light thermal energy model；
According to market guidance model and photo-thermal energy model, at least to obtain first most for target in ahead market income
The producible first maximum thermal energy of the light field of t moment under bad scene and the first the worst scene
According to market guidance model and photo-thermal energy model, so that potential abandon light quantity and the corresponding potential following receipts
Enter loss and be up to target to obtain the light field producible second of t moment under the second the worst scene and the second the worst scene most
Big thermal energy
According to the common objective function of the first the worst scene and the second the worst scene, determine it is maximum acceptable abandon light rate,
In, maximum acceptable light rate of abandoning is to abandon light quantity under the second the worst scene to predict averagely with available light thermal energy when decision a few days ago
The ratio between value；
More markets optimization bid robust Model of photo-thermal power station is established, and photo-thermal power station is determined according to preset constraints
Optimize the energy of distribution in different market different periods.
Optionally, the robust optimization based on interval prediction is established available light thermal energy model and is specifically included：
The light field of photo-thermal power station t moment maximum available light thermal energy as a stochastic variable,Interior value, whereinRepresent the predicted mean vote of maximum available light thermal energy； Γt、WithRespectively represent the maximum deflection difference value up and down of Robust degree and maximum available light thermal energy；Robust degree ΓtIt is taken between [0,1]
Value, Γt=0 represents and ignores possible deviation, and Γt=1 represents most conservative situation.
Optionally, more markets optimization bid robust Model of photo-thermal power station is established, and light is determined according to preset constraints
The energy that thermo-power station optimizes distribution in different market different periods specifically includes：
Using under the worst scene each market income the sum of desired value as object function, with preset constraints build light
More markets of thermo-power station optimize bid robust Model, and wherein object function is：
Wherein, γsRepresent the probability that each electricity price scene occurs；And CopIt is energy city a few days ago respectively
Field income, the standby market income of rotation, frequency modulation market takes in and operating cost, and corresponding expression formula is respectively such as formula (2)-(5)：
WhereinWithBe respectively under scene s t moment a few days ago energy market, the standby market of rotation,
It is spaced between upper frequency modulation city, usually 1 hour；copIt is the operating cost of photo-thermal power station unit energy；Steam Turbine field with
And the price in lower frequency modulation market；WithRespectively represent the electric power for revolving the consumption of standby and frequency modulation；The thermal energy consumed when h is.
Optionally, the more market robust Bidding systems of the photo-thermal power station provided by the invention containing hot energy storage further include：
Bid robust is optimized to more markets of the demand and photo-thermal power station of supplementing ancillary service according to power system dispatching organisation
Model determines bid curve of the photo-thermal power station in supplementing assisted hatching.
The present invention provides a kind of more market robust bid devices of photo-thermal power station containing hot energy storage, including：
First modeling unit is used for the random optimization method based on more scenes, establishes market guidance model；
Second modeling unit is used for the robust optimization based on interval prediction, establishes available light thermal energy model；
First the worst scenario building unit is used for according to market guidance model and photo-thermal energy model, in ahead market
The light field producible first that income at least obtains t moment under the first the worst scene and the first the worst scene for target is maximum
Thermal energy
Second the worst scenario building unit is used for according to market guidance model and photo-thermal energy model, so that potential abandon
Light quantity and the corresponding potential following revenue losses are up to target and obtain t under the second the worst scene and the second the worst scene
The producible second maximum thermal energy of light field at moment
It is maximum acceptable to abandon light rate determination unit, for the common mesh according to the first the worst scene and the second the worst scene
Scalar functions determine and maximum acceptable abandon light rate, wherein it is maximum acceptable abandon light rate be abandoned under the second the worst scene light quantity with
The ratio between available light thermal energy predicted mean vote when decision a few days ago；
Third modeling unit, more markets for establishing photo-thermal power station optimize bid robust Model, and according to preset constraint
Condition determines that photo-thermal power station optimizes the energy of distribution in different market different periods.
Optionally, the second modeling unit specifically includes：
The light field of photo-thermal power station t moment maximum available light thermal energy as a stochastic variable,Interior value, whereinRepresent the predicted mean vote of maximum available light thermal energy； Γt、WithRespectively represent the maximum deflection difference value up and down of Robust degree and maximum available light thermal energy；Robust degree ΓtIt is taken between [0,1]
Value, Γt=0 represents and ignores possible deviation, and Γt=1 represents most conservative situation.
Optionally, third modeling unit specifically includes：
Using under the worst scene each market income the sum of desired value as object function, with preset constraints build light
More markets of thermo-power station optimize bid robust Model, and wherein object function is：
Wherein, γsRepresent the probability that each electricity price scene occurs；And CopIt is energy city a few days ago respectively
Field income, the standby market income of rotation, frequency modulation market takes in and operating cost, and corresponding expression formula is respectively such as formula (2)-(5)：
WhereinWithBe respectively under scene s t moment a few days ago energy market, the standby market of rotation,
It is spaced between upper frequency modulation city, usually 1 hour；copIt is the operating cost of photo-thermal power station unit energy；Steam Turbine field with
And the price in lower frequency modulation market；WithRespectively represent the electric power for revolving the consumption of standby and frequency modulation；The thermal energy consumed when h is.
Optionally, the more market robust bid devices of the photo-thermal power station provided by the invention containing hot energy storage further include：
Bid curve determining unit, for electric to the demand and photo-thermal of supplementing ancillary service according to power system dispatching organisation
The more markets optimization bid robust Model stood, determines bid curve of the photo-thermal power station in supplementing assisted hatching.
The present invention provides a kind of more market robust bid devices of photo-thermal power station containing hot energy storage, including：
Memory, for storing instruction；
Processor, is coupled to the memory, and the processor is configured as holding based on the instruction that the memory stores
Row realize as above any one of described in method.
The present invention provides a kind of computer readable storage medium, the computer-readable recording medium storage has calculating
Machine instruct, when described instruction is executed by processor realize as above any one of described in method.
As can be seen from the above technical solutions, the present invention has the following advantages：
The present invention provides a kind of more market robust Bidding systems of photo-thermal power station containing hot energy storage, including：Based on more scenes
Random optimization method, establish market guidance model；Robust optimization based on interval prediction establishes available light thermal energy model；
According to market guidance model and photo-thermal energy model, at least to obtain the first the worst scene for target in ahead market income, with
And first t moment under the worst scene the producible first maximum thermal energy of light fieldAccording to market guidance model and light and heat energy
Model is measured, light quantity is abandoned and the corresponding potential following revenue losses is up to target and obtains the second the worst scene so that potential,
And second t moment under the worst scene the producible second maximum thermal energy of light fieldAccording to the first the worst scene and second
The common objective function of the worst scene determines and maximum acceptable abandons light rate, wherein it is maximum acceptable abandon light rate be second most
The ratio between light quantity and available light thermal energy predicted mean vote when decision a few days ago are abandoned under bad scene；The more markets for establishing photo-thermal power station are excellent
Change bid robust Model, and determines that photo-thermal power station optimizes distribution in different market different periods according to preset constraints
Energy.
The present invention considers that photo-thermal power station faces sunlight-heat reaources and market guidance during participating in electricity market and submitting a tender
The robust Optimal methods based on interval prediction and the randomized optimization process pair based on more scenes is respectively adopted in dual uncertainty
Available light thermal energy and market guidance uncertainty are modeled, and propose it is maximum acceptable abandon light rate, reflect photo-thermal power station
Flexibility is being provided for system and is being the tradeoff itself retained between flexibility, and is adapting to the model framework of robust optimization, finally
It establishes and participates in more markets and consider the maximum acceptable more markets optimization bid robust Model for abandoning light rate, photo-thermal power station is instructed to exist
A few days ago with the bid of real time phase and operation reserve, realize and maximize market income solve photo-thermal power station and participating in electric power city
Field faces the technical problem of the dual uncertainty of sunlight-heat reaources and market guidance during submitting a tender.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will to embodiment or
Attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only
Some embodiments of the present invention, for those of ordinary skill in the art, without having to pay creative labor,
It can also be obtained according to these attached drawings other attached drawings.
Fig. 1 is an a kind of implementation of the more market robust Bidding systems of photo-thermal power station containing hot energy storage provided by the invention
The flow diagram of example；
Fig. 2 is an a kind of implementation of the more market robust bid devices of photo-thermal power station containing hot energy storage provided by the invention
The structural schematic diagram of example；
Fig. 3 is a kind of another reality of the more market robust bid devices of photo-thermal power station containing hot energy storage provided by the invention
Apply the structural schematic diagram of example.
Specific implementation mode
An embodiment of the present invention provides a kind of more market robust Bidding systems of photo-thermal power station containing hot energy storage and device, solutions
Photo-thermal power station of having determined faces the dual probabilistic of sunlight-heat reaources and market guidance during participating in electricity market and submitting a tender
Technical problem.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with this hair
Attached drawing in bright embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that is retouched below
The embodiment stated is only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, originally
All other embodiment that field those of ordinary skill is obtained without making creative work, belongs to this hair
The range of bright protection.
Referring to Fig. 1, the present invention provides one of a kind of more market robust Bidding systems of photo-thermal power station containing hot energy storage
Embodiment, including：
101, the random optimization method based on more scenes, establishes market guidance model；
It should be noted that photo-thermal power station is submitted a tender in the market needs while considering the uncertainty and market price of illumination
The uncertainty of lattice.Have for the ahead market Authorize to Bid of photo-thermal power station since both are uncertain different
Meaning needs respectively to model it according to its characteristic.Usually to the method for uncertainties model have based on more scenes with
Machine optimization method and robust Optimal methods based on interval prediction.
Assuming that photo-thermal power station is price takers, and since the operating cost of photo-thermal power station can almost be ignored, photo-thermal power station
Optimal bidding strategy for the abswolute level of the market price and insensitive.Photo-thermal power station concerns in each market one day
Price curve, namely in different market, different periods price relative level, with the capacity and energy of reasonable distribution oneself,
To realize maximum revenue.The correlation that the price in different markets has can be modeled by generating scene, and be based on area
Between the robust method predicted cannot but reflect this correlation.Therefore, using the randomized optimization process based on more scenes to market
The uncertainty of price is modeled more suitable.
102, the robust optimization based on interval prediction establishes available light thermal energy model；
It specifically includes：
The light field of photo-thermal power station t moment maximum available light thermal energy as a stochastic variable,Interior value, whereinRepresent the predicted mean vote of maximum available light thermal energy； Γt、
WithRespectively represent the maximum deflection difference value up and down of Robust degree and maximum available light thermal energy；Robust degree ΓtIt is taken between [0,1]
Value, Γt=0 represents and ignores possible deviation, and Γt=1 represents most conservative situation；
It should be noted that for the uncertainty of sunlight-heat reaources, photo-thermal power station major concern each period can utilize light
The abswolute level of thermal energy.The abundant degree of sunlight-heat reaources can greatly influence the optimal bidding strategy and plan for start-up and shut-down of photo-thermal.
And the robust optimization based on interval prediction can not only reflect the abundant degree of photo-thermal, but also reduce predictive information need read group total
Burden, thus suitable for being modeled to the uncertainty of photo-thermal.
103, according to market guidance model and photo-thermal energy model, at least to obtain for target in ahead market income
The producible first maximum thermal energy of the light field of t moment under one the worst scene and the first the worst scene
It should be noted that when determining its bidding strategy a few days ago, photo-thermal power station will be there are two main target：1) maximum
Change the income of its ahead market；2) keep it in real-time photo-thermal digestion capability and revenue potential.In order to simultaneously consider this two
A target needs to model the worst different scene, to be considered the robust bid plan of the worst a variety of scenes simultaneously
Slightly, according to market guidance model and photo-thermal energy model, at least to obtain the first the worst field for target in ahead market income
The producible first maximum thermal energy of the light field of t moment under scape and the first the worst scene
104, according to market guidance model and photo-thermal energy model so that it is potential abandon light quantity and it is corresponding it is potential not
Carry out revenue losses and be up to target to obtain the light field producible of t moment under the second the worst scene and the second the worst scene
Two maximum thermal energy
It should be noted that according to market guidance model and photo-thermal energy model, so that the potential light quantity and corresponding of abandoning
The potential following revenue losses be up to target obtain the light field of t moment under the second the worst scene and the second the worst scene can
The the second maximum thermal energy generated
105, it according to the common objective function of the first the worst scene and the second the worst scene, determines and maximum acceptable abandons light
Rate, wherein maximum acceptable light rate of abandoning is to abandon light quantity under the second the worst scene to predict with available light thermal energy when decision a few days ago
The ratio between average value；
It should be noted that above-mentioned two target is conflict.In order to realize the maximization of ahead market income, photo-thermal
Power station will maximally utilise its capacity in ahead market.Since the scale in a few days supplementing assisted hatching is usual
Smaller and have prodigious uncertainty, target ancillary service capacity is difficult to be adjusted in a few days in ahead market.Therefore, if
Real-time sunlight-heat reaources are very abundant, and capacity of the photo-thermal power station including hot energy storage has all been utilized, and just will appear can not
What is avoided abandons light.These photo-thermal energy originally can be sold in the energy market in real-time power market or future and be taken in, because
And abandoning light means the loss of real-time or future market income.In order to avoid potentially abandoning light and revenue losses, need to be potential
Additional photo-thermal energy reserve the capacity of some Steam Turbines and hot energy storage.
In order to coordinate above-mentioned two target, introduce it is maximum acceptable abandon light rate this index, indicate under the second the worst scene
It abandons light quantity and the ratio between photo-thermal predicted mean vote can be used when decision a few days ago.Light can be limited by setting maximum acceptable light rate of abandoning
What thermo-power station may occur abandons light, and no matter how real-time sunlight-heat reaources change in forecast interval.Reserved capacity is latent to limit
Abandon light will cause ahead market income reduce, thus it is potential abandon the bigger scene of light quantity, take in a few days ago smaller.In this way
There is common minimum to take in a few days ago namely same object function for first the worst scene and the second the worst scene.Pass through change
Robust degree and maximum acceptable light rate of abandoning can adjust the conservative of bidding strategy.
The maximum acceptable introducing for abandoning light rate not only reflects photo-thermal power station in energy market income and assisted hatching
Tradeoff between income also reflects its tradeoff between ahead market income and real-time or following potential market income, with
And for system provide flexibility and be itself retain flexibility between tradeoff.
106, more markets optimization bid robust Model of photo-thermal power station is established, and photo-thermal is determined according to preset constraints
Power station optimizes the energy of distribution in different market different periods；
It should be noted that more markets optimization bidding model of photo-thermal power station is a robust mixed integer optimization problem.
Photo-thermal power station as price takers a few days ago according to its sunlight-heat reaources and the predictive information of the market price different markets not
Its capacity is distributed with optimization in the period.Using under the worst scene each market income the sum of desired value as object function, with preset
More markets that constraints builds photo-thermal power station optimize bid robust Model, and wherein object function is：
Wherein, γsRepresent the probability that each electricity price scene occurs；And CopIt is energy city a few days ago respectively
Field income, the standby market income of rotation, frequency modulation market takes in and operating cost, and corresponding expression formula is respectively such as formula (2)-(5)：
WhereinWithBe respectively under scene s t moment a few days ago energy market, the standby market of rotation,
It is spaced between upper frequency modulation city, usually 1 hour；copIt is the operating cost of photo-thermal power station unit energy；Steam Turbine field with
And the price in lower frequency modulation market；WithRespectively represent the electric power for revolving the consumption of standby and frequency modulation；The thermal energy consumed when h is；
Preset constraints includes：
1) power balance constraints：
Wherein, η1And η2Respectively conversion efficiency of thermoelectric and external losses efficiency；βrrsAnd βregIt is the standby average tune of rotation respectively
With the mean consumption electric power of rate and unit frequency regulation capacity；
2) thermal energy balance constraints：
Wherein,WithRespectively represent the charge and discharge thermal power of hot energy storage；ESUIt is the single booting chargeable heat of Steam Turbine
Energy；rtIt is the 0-1 variables for characterizing Steam Turbine booting history, takes 1 to represent unit and be switched in present period, take 0 representative
Present period does not boot up；Expression abandons light quantity in the first the worst scene；
3) hot storage energy operation constraints：
Wherein,Represent the thermal energy reserves in the hot energy storage of t moment；α is hot energy storage from the proportion of goods damageds；η3For hot energy storage
Storage system efficiency；WithRespectively represent the maximum storage system power of hot energy storage；hTSIt is charged with maximum power for hot energy storage
Longest hourage；wtTo characterize the 0-1 variables of hot energy storage charge and discharge Warm status, 1 representative is taken currently to carry out filling heat (or empty
It is not busy), take 0 representative currently carrying out heat release (or idle)；
4) steam turbine start and stop constraints：
Wherein utFor the 0-1 variables of the operating status of characterization Steam Turbine, takes 1 representative to be currently running, take 0 representative
It is currently at shutdown status；tonAnd tdownThe minimum of respectively Steam Turbine opened, between the stopping time.
5) power and energy constraint condition：
When Steam Turbine is currently running, output necessarily is between bound, as shown in formula (18)：
Photo-thermal power station need to be get the bid the capacity reservation enough power and energy space of energy and assisted hatching, such as
Shown in formula (19)-(21).
Wherein,WithRespectively represent the power bound of Steam Turbine；hrrsAnd hregIt respectively represents and unit appearance is provided
The rotation of amount is standby and frequency modulation needs reserved energy；
According to market rules, the maximum spinning reserve capacity and frequency regulation capacity that photo-thermal power station can be provided are no more than it
(HSL is equal to the output upper limit) certain proportion, as shown in formula (22) and (23)：
μrrsAnd μregRespectively represent the maximum standby ratio that its output upper limit is accounted for frequency regulation capacity of the rotation that can be submitted a tender of photo-thermal power station
Example；
6) potential to abandon light constraints：
Compared with the first the worst scene, photo-thermal energy that the second the worst scene additionally has moreIt calculates such as formula (24) institute
Show.
The additional photo-thermal energy demand in this part is disappeared by selling the idle capacity of Steam Turbine in Real-time markets
It receives, or is stored in hot energy storage, otherwise can only just discard；On the basis of submit a tender a few days ago, the idle capacity (energy of Steam Turbine
Enough electrical power additionally dissolved) FtScalar determines in energy by its output upper limit and a few days ago and ancillary service, such as formula (25) institute
Show：
The remaining additional photo-thermal energy for needing to be dissolved with hot energy storageSteamer is subtracted equal to total additional photo-thermal energy
The idle capacity of unit, as shown in formula (26)：
Max function in formula (26) can be linearized by introducing integer variable, when hot energy storage is filled,
Remaining additional photo-thermal energy will have to discard, and light quantity is abandoned in the accumulation that can be calculated accordingly in the second the worst sceneSuch as
Shown in formula (27)：
Introduce it is maximum acceptable abandon light rate κ, limit the accumulative of any time t in the second the worst scene and potential abandon light quantity
The certain proportion that must not exceed total available light thermal energy, as shown in formula (28)：
7) model dual linearization constrains
The robust Model that formula (1)-(28) are constituted can be converted by the dual variable and auxiliary variable for introducing former problem
Robust mixed integer linear programming model is constituted by formula (2)-(34).
In formula (29)-(34)WithThe Robust degree of respectively first the worst scene and the second the worst scene；WithIt is the first the worst scene and the corresponding dual variable of the second the worst scene respectively；yIAnd yIIIt is auxiliary variable.By
After conversion, the object function of model can be replaced with formula (34) by formula (1).Finally obtained equivalent MIXED INTEGER linear gauge
Drawing model can easily solve.
107, more markets of the demand and photo-thermal power station of supplementing ancillary service are optimized according to power system dispatching organisation and is submitted a tender
Robust Model determines bid curve of the photo-thermal power station in supplementing assisted hatching；
It should be noted that when power system dispatching organisation needs to purchase more ancillary services in supplement assisted hatching
When, photo-thermal power station can adjust its operational plan, submit incremental bidding to meet the needs of system.
It is known it is former submit a tender and scalar in each market a few days ago under operation reserve, increase certain ancillary service of a unit moment
Bid amount, fixed other Auxiliary market bid amounts, scalar in making it equal to a few days ago, then solve formula (2)-(34) again and constitute
Model, a set of new bid and operation reserve can be obtained.Under new bid and operation reserve day total revenue with original strategy
Under day total revenue difference be exactly certain frequency modulation service for being additionally provided unit capacity opportunity cost.Photo-thermal power station should wish
The opportunity cost corresponding compensation is further obtained on the basis of ahead market electricity price.Therefore, auxiliary in the supplement of photo-thermal power station
It helps on service market bid curve, the quotation (marginal cost) under different additional bid amounts should be equal to ahead market electricity price and work as
The sum of unit overhead provision opportunity cost under the outer bid amount of forehead.Photo-thermal power station can be determined in supplement ancillary service accordingly
Bid curve in market.
The embodiment of the present invention considers that photo-thermal power station faces sunlight-heat reaources and market during participating in electricity market bid
The robust Optimal methods based on interval prediction and the random optimization based on more scenes is respectively adopted in the dual uncertainty of electricity price
Method models available light thermal energy and market guidance uncertainty, and propose it is maximum acceptable abandon light rate, reflect light
Thermo-power station is providing flexibility for system and is being the tradeoff itself retained between flexibility, and adapts to the model frame of robust optimization
Frame is finally established and participates in more markets and consider the maximum acceptable more markets optimization bid robust Model for abandoning light rate, instructs photo-thermal
It, with the bid of real time phase and operation reserve, realizes a few days ago and maximizes market income, solve photo-thermal power station and participating in power station
Electricity market faces the technical problem of the dual uncertainty of sunlight-heat reaources and market guidance during submitting a tender.
It is a reality to a kind of more market robust Bidding systems of photo-thermal power station containing hot energy storage provided by the invention above
The explanation for applying example progress, below will be to a kind of more market robust bid devices of photo-thermal power station containing hot energy storage provided by the invention
One embodiment illustrate.
Referring to Fig. 2, the present invention provides one of a kind of more market robust bid devices of photo-thermal power station containing hot energy storage
Embodiment, including：
First modeling unit 201 is used for the random optimization method based on more scenes, establishes market guidance model；
Second modeling unit 202 is used for the robust optimization based on interval prediction, establishes available light thermal energy model；
Second modeling unit 202 specifically includes：
The light field of photo-thermal power station t moment maximum available light thermal energy as a stochastic variable,Interior value, whereinRepresent the predicted mean vote of maximum available light thermal energy； Γt、
WithRespectively represent the maximum deflection difference value up and down of Robust degree and maximum available light thermal energy；Robust degree ΓtIt is taken between [0,1]
Value, Γt=0 represents and ignores possible deviation, and Γt=1 represents most conservative situation；
First the worst scenario building unit 203 is used for according to market guidance model and photo-thermal energy model, with a few days ago
Market income at least obtains the light field producible first of t moment under the first the worst scene and the first the worst scene for target
Maximum thermal energy
Second the worst scenario building unit 204 is used for according to market guidance model and photo-thermal energy model, so that latent
Abandoning light quantity and the corresponding potential following revenue losses is up to target and obtains the second the worst scene and the second the worst field
The producible second maximum thermal energy of the light field of t moment under scape
It is maximum acceptable to abandon light rate determination unit 205, for according to the common of the first the worst scene and the second the worst scene
Object function determines and maximum acceptable abandons light rate, wherein maximum acceptable light rate of abandoning is to abandon light quantity under the second the worst scene
With the ratio between available light thermal energy predicted mean vote when decision a few days ago；
Third modeling unit 206, more markets for establishing photo-thermal power station optimize bid robust Model, and according to preset
Constraints determines that photo-thermal power station optimizes the energy of distribution in different market different periods；
Third modeling unit 206 specifically includes：
Using under the worst scene each market income the sum of desired value as object function, with preset constraints build light
More markets of thermo-power station optimize bid robust Model, and wherein object function is：
Wherein, γsRepresent the probability that each electricity price scene occurs；And CopIt is energy city a few days ago respectively
Field income, the standby market income of rotation, frequency modulation market takes in and operating cost, and corresponding expression formula is respectively such as formula (2)-(5)：
WhereinWithBe respectively under scene s t moment a few days ago energy market, the standby market of rotation,
It is spaced between upper frequency modulation city, usually 1 hour；copIt is the operating cost of photo-thermal power station unit energy；Steam Turbine field with
And the price in lower frequency modulation market；WithRespectively represent the electric power for revolving the consumption of standby and frequency modulation；The thermal energy consumed when h is；
Bid curve determining unit 207, for the demand and photo-thermal according to power system dispatching organisation to supplement ancillary service
More markets in power station optimize bid robust Model, determine bid curve of the photo-thermal power station in supplementing assisted hatching.
It is a reality to a kind of more market robust bid devices of photo-thermal power station containing hot energy storage provided by the invention above
The explanation for applying example progress, below will be to a kind of more market robust bid devices of photo-thermal power station containing hot energy storage provided by the invention
Another embodiment illustrate.
Referring to Fig. 3, the present invention provides a kind of the another of the more market robust bid devices of photo-thermal power station containing hot energy storage
A embodiment, including：
Memory 301, for storing instruction；
Processor 302, is coupled to memory 301, and processor 302 is configured as the instruction execution stored based on memory
Realize the method that embodiment is related in such as Fig. 1.
The more market robust bid devices of photo-thermal power station as shown in Figure 3 containing hot energy storage further include communication interface 303, are used for
Information exchange is carried out with miscellaneous equipment.The device further includes bus 304, processor 302, communication interface 303 and storage simultaneously
Device 301 completes mutual communication by bus 304.
Memory 301 can include high-speed RAM memory, also can further include nonvolatile memory (non-volatile
Memory), a for example, at least magnetic disk storage.Memory 301 can also be memory array.Memory 301 be also possible to by
Piecemeal, and block can be combined into virtual volume by certain rule.
In addition, processor 302 can be a central processor CPU, or it can be application-specific integrated circuit ASIC
(application specific integrated circuit), or be arranged to implement the one of the embodiment of the present invention
A or multiple integrated circuits.
Be above to a kind of more market robust bid devices of photo-thermal power station containing hot energy storage provided by the invention another
The explanation that embodiment carries out, below will be to a kind of one embodiment progress of computer readable storage medium provided by the invention
Explanation.
A kind of one embodiment of computer readable storage medium provided by the invention, computer readable storage medium are deposited
Computer instruction is contained, the method that embodiment is related in such as Fig. 1 is realized when described instruction is executed by processor.
It is apparent to those skilled in the art that for convenience and simplicity of description, foregoing description is
System, the specific work process of device and unit can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or group
Part can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown
Or the mutual coupling, direct-coupling or communication connection discussed can be by some interfaces, between device or unit
Coupling or communication connection are connect, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, as unit
The component of display may or may not be physical unit, you can be located at a place, or may be distributed over more
In a network element.Some or all of unit therein can be selected according to the actual needs to realize this embodiment scheme
Purpose.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention essence
On all or part of the part that contributes to existing technology or the technical solution can be with the shape of software product in other words
Formula embodies, which is stored in a storage medium, including some instructions are used so that a calculating
Machine equipment (can be personal computer, server or the network equipment etc.) executes each embodiment the method for the present invention
All or part of step.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various to store
The medium of program code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although reference
Invention is explained in detail for previous embodiment, it will be understood by those of ordinary skill in the art that：It still can be right
Technical solution recorded in foregoing embodiments is modified or equivalent replacement of some of the technical features；And this
A little modification or replacements, the spirit and model of various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution
It encloses.
Claims (10)
1. a kind of more market robust Bidding systems of photo-thermal power station containing hot energy storage, which is characterized in that including：
Based on the random optimization method of more scenes, market guidance model is established；
Robust optimization based on interval prediction establishes available light thermal energy model；
According to market guidance model and photo-thermal energy model, at least to obtain the first the worst field for target in ahead market income
The producible first maximum thermal energy of the light field of t moment under scape and the first the worst scene
According to market guidance model and photo-thermal energy model, so that potential abandon light quantity and the corresponding potential following revenue losses
It is up to target and obtains the producible second maximum thermal energy of light field of t moment under the second the worst scene and the second the worst scene
According to the common objective function of the first the worst scene and the second the worst scene, determines and maximum acceptable abandon light rate, wherein most
Big acceptable light rate of abandoning is that the ratio between light quantity and available light thermal energy predicted mean vote when decision a few days ago are abandoned under the second the worst scene；
More markets optimization bid robust Model of photo-thermal power station is established, and determines photo-thermal power station in difference according to preset constraints
Optimize the energy of distribution in the different periods of market.
2. the more market robust Bidding systems of the photo-thermal power station according to claim 1 containing hot energy storage, which is characterized in that be based on
The robust optimization of interval prediction is established available light thermal energy model and is specifically included：
The light field of photo-thermal power station t moment maximum available light thermal energy as a stochastic variable,Interior value, whereinRepresent the predicted mean vote of maximum available light thermal energy；Γt、WithRespectively represent the maximum deflection difference value up and down of Robust degree and maximum available light thermal energy；Robust degree ΓtThe value between [0,1],
Γt=0 represents and ignores possible deviation, and Γt=1 represents most conservative situation.
3. the more market robust Bidding systems of the photo-thermal power station according to claim 2 containing hot energy storage, which is characterized in that establish
More markets of photo-thermal power station optimize bid robust Model, and determine photo-thermal power station in different markets difference according to preset constraints
The energy for optimizing distribution in period specifically includes：
Using under the worst scene each market income the sum of desired value as object function, with preset constraints build photo-thermal power station
More markets optimize bid robust Model, wherein object function is：
Wherein, γsRepresent the probability that each electricity price scene occurs；And CopIt is that energy market is received a few days ago respectively
Enter, revolve standby market income, frequency modulation market income and operating cost, corresponding expression formula is respectively such as formula (2)-(5)：
WhereinWithIt is t moment energy market, the standby market of rotation, up-regulation a few days ago under scene s respectively
Frequency is spaced between city, usually 1 hour；copIt is the operating cost of photo-thermal power station unit energy；Be Steam Turbine field and under
The price in frequency modulation market；WithRespectively represent the electric power for revolving the consumption of standby and frequency modulation；The thermal energy consumed when h is.
4. the more market robust Bidding systems of the photo-thermal power station according to claim 3 containing hot energy storage, which is characterized in that also wrap
It includes：
Bid robust Model is optimized to more markets of the demand and photo-thermal power station of supplementing ancillary service according to power system dispatching organisation,
Determine bid curve of the photo-thermal power station in supplementing assisted hatching.
5. a kind of more market robust bid devices of photo-thermal power station containing hot energy storage, which is characterized in that including：
First modeling unit is used for the random optimization method based on more scenes, establishes market guidance model；
Second modeling unit is used for the robust optimization based on interval prediction, establishes available light thermal energy model；
First the worst scenario building unit is used for according to market guidance model and photo-thermal energy model, to be taken in ahead market
The producible first maximum thermal energy of the minimum light field that t moment under the first the worst scene and the first the worst scene is obtained for target
Second the worst scenario building unit is used for according to market guidance model and photo-thermal energy model, so that potential abandon light quantity
And the corresponding potential following revenue losses is up to target and obtains t moment under the second the worst scene and the second the worst scene
The producible second maximum thermal energy of light field
It is maximum acceptable to abandon light rate determination unit, for the common objective letter according to the first the worst scene and the second the worst scene
Number determines and maximum acceptable abandons light rate, wherein maximum acceptable light rate of abandoning is to abandon light quantity under the second the worst scene and determine a few days ago
The ratio between available light thermal energy predicted mean vote when plan；
Third modeling unit, more markets for establishing photo-thermal power station optimize bid robust Model, and according to preset constraints
Determine that photo-thermal power station optimizes the energy of distribution in different market different periods.
6. the more market robust bid devices of the photo-thermal power station according to claim 5 containing hot energy storage, which is characterized in that second
Modeling unit specifically includes：
The light field of photo-thermal power station t moment maximum available light thermal energy as a stochastic variable,Interior value, whereinRepresent the predicted mean vote of maximum available light thermal energy；Γt、WithRespectively represent the maximum deflection difference value up and down of Robust degree and maximum available light thermal energy；Robust degree ΓtThe value between [0,1],
Γt=0 represents and ignores possible deviation, and Γt=1 represents most conservative situation.
7. the more market robust bid devices of the photo-thermal power station according to claim 6 containing hot energy storage, which is characterized in that third
Modeling unit specifically includes：
Using under the worst scene each market income the sum of desired value as object function, with preset constraints build photo-thermal power station
More markets optimize bid robust Model, wherein object function is：
Wherein, γsRepresent the probability that each electricity price scene occurs；And CopBe respectively a few days ago energy market income,
The standby market income of rotation, frequency modulation market income and operating cost, corresponding expression formula is respectively such as formula (2)-(5)：
WhereinWithIt is t moment energy market, the standby market of rotation, up-regulation a few days ago under scene s respectively
Frequency is spaced between city, usually 1 hour；copIt is the operating cost of photo-thermal power station unit energy；Be Steam Turbine field and under
The price in frequency modulation market；WithRespectively represent the electric power for revolving the consumption of standby and frequency modulation；The thermal energy consumed when h is.
8. the more market robust bid devices of the photo-thermal power station according to claim 7 containing hot energy storage, which is characterized in that also wrap
It includes：
Bid curve determining unit, for according to power system dispatching organisation to supplement ancillary service demand and photo-thermal power station it is more
Market optimizes bid robust Model, determines bid curve of the photo-thermal power station in supplementing assisted hatching.
9. a kind of more market robust bid devices of photo-thermal power station containing hot energy storage, which is characterized in that including：
Memory, for storing instruction；
Processor is coupled to the memory, and it is real that the processor is configured as the instruction execution stored based on the memory
Now method according to any one of claims 1 to 4.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer to refer to
It enables, method according to any one of claims 1 to 4 is realized when described instruction is executed by processor.
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