CN109038556A - A kind of fired power generating unit flexibility transformation capacity calculation methods and system - Google Patents
A kind of fired power generating unit flexibility transformation capacity calculation methods and system Download PDFInfo
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- CN109038556A CN109038556A CN201810863206.5A CN201810863206A CN109038556A CN 109038556 A CN109038556 A CN 109038556A CN 201810863206 A CN201810863206 A CN 201810863206A CN 109038556 A CN109038556 A CN 109038556A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The present invention relates to a kind of fired power generating unit flexibility transformation capacity calculation methods and systems, the described method includes: system flexibility pondage range is arranged based on target year renewable energy power generation theoretical power (horse-power) model, determine that target year renewable energy abandons electric rate range according to system flexibility pondage range, electric rate range, which is abandoned, according to target year renewable energy determines the whole network flexibility demand capacity, and then determine that capacity is transformed in fired power generating unit flexibility according to the whole network flexibility demand capacity, using the method overcome the prior arts, and the problem that scale is insufficient or transformation capacity is excessive is easily transformed, contacting between meter and flexibility transformation capacity requirement and renewable energy installation scale, fired power generating unit flexibility transformation capacity can effectively be calculated using above-mentioned calculation method, the coordination of transformation scale and renewable energy installation scale is realized simultaneously Optimization.
Description
Technical field
The present invention relates to renewable energy power station coordinated control fields, and in particular to a kind of fired power generating unit flexibility transformation appearance
Amount calculates method and system.
Background technique
As renewable energy (mainly including wind-powered electricity generation, solar power generation) installed capacity is higher and higher, wind-powered electricity generation, solar energy hair
Electricity has the characteristics that randomness, fluctuation and intermittence also obtain more and more significant embodiment, when electric system flexibility is insufficient
When will lead to the generation that abandonment abandons light, and the flexibility of electric system is mainly reflected in the flexibility pondage of fired power generating unit,
Statistical result showed, the common regional abandonment of thermoelectricity abandon light and occur mainly in the Winter heat supply phase, and thermoelectricity flexibility capability deficiency is to make
The main reason for abandoning light at abandonment, operation characteristic and electricity, the heat of existing pure condensate (conventional thermoelectricity)/thermal power plant unit are independently dispatched
Mode limits electric system flexibility, is the difficult first cause of the common regional renewable energy consumption of thermoelectricity；For this purpose, promoting
The flexibility of conventional thermoelectricity, thermal power plant unit is transformed into a key measure for promoting renewable energy consumption.
Existing fired power generating unit flexibility transformation correlative study is concentrated mainly on the correctional effect and unit of fired power generating unit
Electric power assisted hatching relevant benefit obtained is participated in after transformation, it is insufficient there are transformation scale or transformation capacity is excessive asks
Topic.
Summary of the invention
The present invention relates to a kind of fired power generating unit flexibility transformation capacity calculation methods and system, purposes for present invention offer
It is: is determined according to the system flexibility pondage range being arranged based on target year renewable energy power generation theoretical power (horse-power) model
Target year renewable energy abandons electric rate range, abandons electric rate range according to target year renewable energy and determines the whole network flexibility need
Capacity is sought, and then determines that capacity is transformed in fired power generating unit flexibility according to the whole network flexibility demand capacity, to overcome existing fire
The problem that scale is insufficient or transformation capacity is excessive is easily transformed in motor group flexibility renovation technique, effectively realize transformation scale with can
The coordination optimization of renewable sources of energy installation scale simultaneously promotes electric system flexibility.
The purpose of the present invention is adopt the following technical solutions realization:
A kind of fired power generating unit flexibility transformation capacity calculation methods, it is improved in that the described method includes:
Electric rate range is abandoned using system flexibility pondage setting target year renewable energy；
Electric rate range, which is abandoned, according to target year renewable energy determines the whole network flexibility demand capacity；
Determine that capacity is transformed in fired power generating unit flexibility according to the whole network flexibility demand capacity.
Preferably, described to abandon electric rate range, packet using system flexibility pondage setting target year renewable energy
It includes:
Based on target year renewable energy power generation theoretical power (horse-power) model, system flexibility pondage range is set；
Determine that target year renewable energy abandons electric rate range according to system flexibility pondage range.
Further, described to be adjusted based on target year renewable energy power generation theoretical power (horse-power) model setting system flexibility
Range of capacity, comprising:
Each moment renewable energy of target year is obtained using target year renewable energy power generation theoretical power (horse-power) model
Maximum value P in power generation theoretical power (horse-power)ca_max, system flexibility pondage P is setrRange are as follows: Pr∈(0,Pca_max]；
Wherein, target year renewable energy power generation theoretical power (horse-power) model are as follows:
In above formula, PcaIt (t) is the power generation theoretical power (horse-power) of target year renewable energy t moment, For wind-power electricity generation
The normalization generated output for t moment of standing,For the normalization generated output of solar power plant t moment,For wind-force hair
The generated output of power station t moment,For the abandoning electrical power of wind power station t moment, Cw(t) it is filled for the wind-powered electricity generation of the whole network t moment
Machine capacity,For the generated output of solar power plant t moment,For the abandoning electrical power of solar power plant t moment,
CpvIt (t) is the solar power generation installed capacity of the whole network t moment, i is annual sampling instant quantity；T ∈ (0, j), j are target year
Spend the quantity of sampling instant, C'w(t) installed capacity, C' are planned for the wind-powered electricity generation of target year t momentpv(t) be target year t when
The solar power generation at quarter plans installed capacity.
Further, described to determine that target year renewable energy abandons electric rate model according to system flexibility pondage range
It encloses, comprising:
It is obtained according to the abandoning electrical power model at system flexibility pondage range and target year renewable energy power generation station
Take the range of the abandoning electrical power at target year renewable energy power generation station；
Electric rate model, which is abandoned, using target year renewable energy obtains the range that target year renewable energy abandons electric rate, from
And it determines system flexibility pondage and target year renewable energy and abandons the relation curve of electric rate；Wherein, the target year
Spend the abandoning electrical power model at renewable energy power generation station are as follows:
The target year renewable energy abandons electric rate model are as follows:
In above formula,For the abandoning electrical power of target year renewable energy power generation station t moment, RnFor each system flexibility
The corresponding target year renewable energy of pondage abandons electric rate, PrFor system flexibility pondage, Pr∈(0,Pca_max], j
For the quantity of target year sampling instant,For the power generation theoretical power (horse-power) of target year.
Preferably, described that the whole network flexibility demand capacity is determined according to the electric rate range of target year renewable energy abandoning, it wraps
It includes:
Choose the intersection conduct that target year renewable energy abandons electric rate range and renewable energy abandons electric rate allowed band
The whole network can use the electric rate of abandoning；
Electric rate can be currently abandoned with electric rate setting is abandoned according to described the whole network, and the electric rate of current abandoning is determined according to the relation curve
Corresponding system flexibility pondage, as the whole network flexibility demand capacity.
It is preferably, described to determine that capacity is transformed in fired power generating unit flexibility according to the whole network flexibility demand capacity, comprising:
Determine that capacity C is transformed in the flexibility of t moment fired power generating unit as the following formulaf(t):
In formula, For the system flexibility pondage of t momentFtFor the generation load of the whole network t moment,For t moment the whole network fired power generating unit minimum technology power output, I is thermal motor
The optimal booting capacity of group,It contributes for the minimum technology of s platform fired power generating unit t moment,What it is for current t moment is
System flexibility pondage,For the whole network flexibility demand capacity；
The maximum value chosen in each moment fired power generating unit flexibility transformation capacity is flexible as the motor group of target year fire
Property transformation capacity.
Further, the acquisition process of the optimal booting capacity of the fired power generating unit, comprising:
Obtain the fired power generating unit booting capacity for meeting the booting capacity constraints of fired power generating unit；
The thermoelectricity minimum booting capacity for the guarantee heating that fired power generating unit booting capacity and energy supervision department are appraised and decided
Compare, takes the larger value in the two as the optimal booting capacity of fired power generating unit；
Wherein, the booting capacity constraints of the fired power generating unit are as follows:
Pt,max+Ph,max+Po,max+Pw,c+Ppv,c≥max{Pl+Pc}·(1+βu)
min(Pt,max+Ph,max+Po,max)
Pt,min+Ph,min+Po,min≤min{Pl+Pc}·(1+βd)
In above formula,Pw,cCapacity is predicted for target year wind-power electricity generation
Credible capacity, Ppv,cThe credible capacity of capacity, P are predicted for target year solar power generationt,maxFor the booting capacity of thermoelectricity, Ph,max
For the booting capacity of water power, Po,maxThe booting capacity of other power supplys, PlPower, P are sent outside for power loadcFunction is sent outside for interconnection
Rate,For wind power generation output prediction result,For solar power generation power output prediction result, EwFor wind power generation output prediction
Error, EpvIt contributes for solar power generation and predicts error, CwFor wind-power electricity generation installed capacity, CpvFor solar power generation installed capacity；
Pt,minFor thermoelectricity minimum technology power output, Ph,minFor water power minimum technology power output, Po,minFor other power supply minimum technologies power output, βd
For lower rotation percentage reserve.
A kind of fired power generating unit flexibility transformation calculation of capacity system, it is improved in that the system comprises:
Setup module, for abandoning electric rate range using system flexibility pondage setting target year renewable energy；
First determining module determines that the whole network flexibility demand is held for abandoning electric rate range according to target year renewable energy
Amount；
Second determining module, for determining that capacity is transformed in fired power generating unit flexibility according to the whole network flexibility demand capacity.
Preferably, described to abandon electric rate range, packet using system flexibility pondage setting target year renewable energy
It includes:
Setting unit, for being adjusted based on target year renewable energy power generation theoretical power (horse-power) model setting system flexibility
Range of capacity；
First determination unit, for determining that target year renewable energy abandons electricity according to system flexibility pondage range
Rate range.
Further, the setting unit, is used for:
Each moment renewable energy of target year is obtained using target year renewable energy power generation theoretical power (horse-power) model
Maximum value P in power generation theoretical power (horse-power)ca_max, system flexibility pondage P is setrRange are as follows: Pr∈(0,Pca_max]；
Wherein, target year renewable energy power generation theoretical power (horse-power) model are as follows:
In above formula, PcaIt (t) is the power generation theoretical power (horse-power) of target year renewable energy t moment, For wind-power electricity generation
The normalization generated output for t moment of standing,For the normalization generated output of solar power plant t moment,For wind-force hair
The generated output of power station t moment,For the abandoning electrical power of wind power station t moment, Cw(t) it is filled for the wind-powered electricity generation of the whole network t moment
Machine capacity,For the generated output of solar power plant t moment,For the abandoning electrical power of solar power plant t moment,
CpvIt (t) is the solar power generation installed capacity of the whole network t moment, i is annual sampling instant quantity；T ∈ (0, j), j are target year
Spend the quantity of sampling instant, C'w(t) installed capacity, C' are planned for the wind-powered electricity generation of target year t momentpv(t) be target year t when
The solar power generation at quarter plans installed capacity.
Further, first determination unit, is used for:
It is obtained according to the abandoning electrical power model at system flexibility pondage range and target year renewable energy power generation station
Take the range of the abandoning electrical power at target year renewable energy power generation station；
Electric rate model, which is abandoned, using target year renewable energy obtains the range that target year renewable energy abandons electric rate, from
And it determines system flexibility pondage and target year renewable energy and abandons the relation curve of electric rate；Wherein, the target year
Spend the abandoning electrical power model at renewable energy power generation station are as follows:
The target year renewable energy abandons electric rate model are as follows:
In above formula,For the abandoning electrical power of target year renewable energy power generation station t moment, RnFor each system flexibility
The corresponding target year renewable energy of pondage abandons electric rate, PrFor system flexibility pondage, Pr∈(0,Pca_max], j
For the quantity of target year sampling instant,For the power generation theoretical power (horse-power) of target year.
Preferably, first determining module, is used for:
Choose the intersection conduct that target year renewable energy abandons electric rate range and renewable energy abandons electric rate allowed band
The whole network can use the electric rate of abandoning；
Electric rate can be currently abandoned with electric rate setting is abandoned according to described the whole network, and the electric rate of current abandoning is determined according to the relation curve
Corresponding system flexibility pondage, as the whole network flexibility demand capacity.
Preferably, second determining module, is used for:
Determine that capacity C is transformed in the flexibility of t moment fired power generating unit as the following formulaf(t):
In formula, For the system flexibility pondage of t momentFtFor the generation load of the whole network t moment,For t moment the whole network fired power generating unit minimum technology power output, I is thermal motor
The optimal booting capacity of group,It contributes for the minimum technology of s platform fired power generating unit t moment,What it is for current t moment is
System flexibility pondage,For the whole network flexibility demand capacity；
The maximum value chosen in each moment fired power generating unit flexibility transformation capacity is flexible as the motor group of target year fire
Property transformation capacity.
Further, the acquisition process of the optimal booting capacity of the fired power generating unit, comprising:
Obtain the fired power generating unit booting capacity for meeting the booting capacity constraints of fired power generating unit；
The thermoelectricity minimum booting capacity for the guarantee heating that fired power generating unit booting capacity and energy supervision department are appraised and decided
Compare, takes the larger value in the two as the optimal booting capacity of fired power generating unit；
Wherein, the booting capacity constraints of the fired power generating unit are as follows:
Pt,max+Ph,max+Po,max+Pw,c+Ppv,c≥max{Pl+Pc}·(1+βu)
min(Pt,max+Ph,max+Po,max)
Pt,min+Ph,min+Po,min≤min{Pl+Pc}·(1+βd)
In above formula,Pw,cCapacity is predicted for target year wind-power electricity generation
Credible capacity, Ppv,cThe credible capacity of capacity, P are predicted for target year solar power generationt,maxFor the booting capacity of thermoelectricity, Ph,max
For the booting capacity of water power, Po,maxThe booting capacity of other power supplys, PlPower, P are sent outside for power loadcFunction is sent outside for interconnection
Rate,For wind power generation output prediction result,For solar power generation power output prediction result, EwFor wind power generation output prediction
Error, EpvIt contributes for solar power generation and predicts error, CwFor wind-power electricity generation installed capacity, CpvFor solar power generation installed capacity；
Pt,minFor thermoelectricity minimum technology power output, Ph,minFor water power minimum technology power output, Po,minFor other power supply minimum technologies power output, βd
For lower rotation percentage reserve.
Compared with the immediate prior art, the present invention is also had the following beneficial effects:
Using technical solution of the present invention, electricity is abandoned using system flexibility pondage setting target year renewable energy
Rate range determines that target year renewable energy abandons electric rate according to normalized annual legacy system flexibility data, after being
Fired power generating unit flexibility transformation accurately calculating for capacity lay the foundation；It is true that electric rate range is abandoned according to target year renewable energy
Determine the whole network flexibility demand capacity, by the abandoning electricity situation under the conditions of the different flexibilities of calculating, obtains allowing to abandon the spirit under electric rate
Active overall transformation capacity requirement, ensure that the reliability of target year the whole network flexibility demand capacity；According to the whole network flexibility
Demand capacity determines that capacity is transformed in fired power generating unit flexibility, to overcome scale in the prior art insufficient or transformation capacity is excessive
Problem achievees the purpose that promote electric system flexibility；Using the calculation method of the application, specify that electric system flexibility needs
The quantitative relationship between renewable energy installation scale is sought, fired power generating unit transformation scale is realized and the system of optical issue is abandoned in abandonment
Coordination is raised, is capable of the degrees of coordination of effective Promotion Transformation scale and renewable energy installation scale, ensures renewable energy consumption
Reduce the total size of fired power generating unit transformation as far as possible simultaneously, the economy that fired power generating unit flexibility is transformed is higher, in reality
More standby operability in execution.
Detailed description of the invention
Fig. 1 is the flow chart of fired power generating unit flexibility of embodiment of the present invention transformation capacity calculation methods；
Fig. 2 is the process detailed map of fired power generating unit flexibility of embodiment of the present invention transformation capacity calculation methods；
Fig. 3 is the graph of relation that renewable energy of the embodiment of the present invention abandons electric rate and system flexibility pondage；
Fig. 4 is the structural schematic diagram of fired power generating unit flexibility of embodiment of the present invention transformation calculation of capacity system.
Specific embodiment
It elaborates with reference to the accompanying drawing to a specific embodiment of the invention.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
All other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Technical solution of the present invention is first according to single wind power plant, the annual theoretical power (horse-power) data of solar power station, respectively
The power producing characteristics of the whole network wind-powered electricity generation, solar power generation are calculated, the wind-powered electricity generation in combining target year, solar power generation installation scale obtain mesh
Wind-powered electricity generation, the solar power generation year power output in year are marked, and by the abandoning electricity situation under the conditions of the different flexibilities of calculating, is allowed
Capacity requirement is totally transformed in the flexibility abandoned under electric rate；Then, according to target year load, interconnection, spare capacity and fire
The constraint conditions such as the start-up period of motor group, are calculated the booting capacity of annual fired power generating unit, and then the whole network is calculated
Fired power generating unit minimum technology power output；And then the difference of calculated load and fired power generating unit minimum technology power output is the practical spirit of the whole network
Active Regulation space compares the difference between practical flexibility adjusting space and flexibility population size demand, as the whole network fire
Capacity is transformed in motor group flexibility, and the present invention considers the timing of renewable energy flexibility demand, is suitable for power output not
Determining wind-powered electricity generation, solar power generation power output propose that demand is transformed in flexibility for the system flexibility deficiency period in actual motion,
The thermoelectricity minimum booting capacity for considering the guarantee heating that energy supervision department appraises and decides in calculating process simultaneously, in practical execution
In more standby operability.
The present invention provides a kind of fired power generating unit flexibility transformation capacity calculation methods and systems, are illustrated below.
Fig. 1 shows the flow chart of fired power generating unit flexibility transformation capacity calculation methods in the embodiment of the present invention, such as Fig. 1 institute
Show, the method may include:
101. abandoning electric rate range using system flexibility pondage setting target year renewable energy；
102. abandoning electric rate range according to target year renewable energy determines the whole network flexibility demand capacity；
103. determining that capacity is transformed in fired power generating unit flexibility according to the whole network flexibility demand capacity.
When this method calculates fired power generating unit flexibility transformation population size, considering can be in the power producing characteristics and dress of the raw energy
Machine scale, Fig. 2 shows the process detailed map of fired power generating unit flexibility of embodiment of the present invention transformation capacity calculation methods, such as Fig. 2
It is shown, it is described to abandon electric rate range using system flexibility pondage setting target year renewable energy, may include:
Based on target year renewable energy power generation theoretical power (horse-power) model, system flexibility pondage range is set；
Determine that target year renewable energy abandons electric rate range according to system flexibility pondage range.
Count each wind power plant of the whole network, solar power station whole year by the moment generated output and abandon electrical power historical data,
Each wind power plant is added to obtain the whole network wind-powered electricity generation theoretical power (horse-power) time series data by moment generated output with electrical power is abandoned,
Each solar power station is added to obtain the whole network solar energy theoretical power (horse-power) timing by moment generated output with electrical power is abandoned
Data.Respectively by the whole network wind-powered electricity generation, solar energy theoretical power (horse-power) time series data divided by the whole network installed capacity of wind-driven power for corresponding to the moment and too
The accumulated value of positive energy capacity of installed generator respectively obtains the normalized wind-powered electricity generation of t moment, solar power generation power output, calculates by hour
Wind-powered electricity generation, solar energy can be obtained in annual normalization power output, the curve linked up by the renewable energy normalization power output of hour
Generate electricity annual generated output characteristic curve.Installed capacity is planned according to target year wind-powered electricity generation, solar power generation, respectively multiplied by wind
Electricity, solar power generation power producing characteristics curve, obtain target year the whole network wind-powered electricity generation, solar power generation theoretical power (horse-power) time series data；It will
It is added to obtain renewable energy power generation theoretical power (horse-power) time series data by wind-powered electricity generation, the solar power generation theoretical power (horse-power) at moment.
It searches renewable energy power generation theoretical power (horse-power) time series data and obtains target year renewable energy power generation theoretical power (horse-power)
Maximum value Pca_max, the quantity of target year sampling instant herein can be set to 8760；
It is described that system flexibility pondage range is arranged based on target year renewable energy power generation theoretical power (horse-power) model,
May include:
Each moment renewable energy of target year is obtained using target year renewable energy power generation theoretical power (horse-power) model
Maximum value P in power generation theoretical power (horse-power)ca_max, system flexibility pondage P is setrRange are as follows: Pr∈(0,Pca_max]；
Wherein, target year renewable energy power generation theoretical power (horse-power) model are as follows:
In above formula, PcaIt (t) is the power generation theoretical power (horse-power) of target year renewable energy t moment, For wind-power electricity generation
The normalization generated output for t moment of standing,For the normalization generated output of solar power plant t moment,For wind-force hair
The generated output of power station t moment,For the abandoning electrical power of wind power station t moment, Cw(t) it is filled for the wind-powered electricity generation of the whole network t moment
Machine capacity,For the generated output of solar power plant t moment,For the abandoning electrical power of solar power plant t moment,
CpvIt (t) is the solar power generation installed capacity of the whole network t moment, i is annual sampling instant quantity；T ∈ (0, j), j are target year
Spend the quantity of sampling instant, C'w(t) installed capacity, C' are planned for the wind-powered electricity generation of target year t momentpv(t) be target year t when
The solar power generation at quarter plans installed capacity.
Specifically, described to determine that target year renewable energy abandons electric rate model according to system flexibility pondage range
It encloses, may include:
It is obtained according to the abandoning electrical power model at system flexibility pondage range and target year renewable energy power generation station
Take the range of the abandoning electrical power at target year renewable energy power generation station；
Electric rate model, which is abandoned, using target year renewable energy obtains the range that target year renewable energy abandons electric rate, from
And it determines system flexibility pondage and target year renewable energy and abandons the relation curve of electric rate；Wherein, the target year
Spend the abandoning electrical power model at renewable energy power generation station are as follows:
The target year renewable energy abandons electric rate model are as follows:
In above formula,For the abandoning electrical power of target year renewable energy power generation station t moment, RnFor each system flexibility
The corresponding target year renewable energy of pondage abandons electric rate, PrFor system flexibility pondage, Pr∈(0,Pca_max], j
For the quantity of target year sampling instant,For the power generation theoretical power (horse-power) of target year.
By system flexibility pondage PrFrom 0 to Pca_maxBetween linear increase, calculate separately different system flexibility tune
It saves the corresponding target year renewable energy of capacity and abandons electric rate, according to the system flexibility pondage value and correspondence at each moment
Renewable energy abandon electric rate value, the relation curve that renewable energy abandons electric rate and system flexibility pondage can be obtained
Figure, as shown in figure 3, abscissa is system flexibility pondage, ordinate is that renewable energy abandons electric rate；According to the longitudinal axis can
The renewable sources of energy, which allow to abandon electric rate, can correspond to the system flexibility pondage demand for finding horizontal axis.
Concrete operations may include: to adjust to hold by comparison renewable energy power generation theoretical power (horse-power) constantly and system flexibility
Amount, renewable energy power generation theoretical power (horse-power) are less than or equal to system flexibility pondage, and renewable energy can be dissolved fully；It can be again
Raw energy power generation theoretical power (horse-power) is greater than system flexibility pondage, and abandoning electrical power is renewable energy power generation theoretical power (horse-power) and be
The difference for flexibility pondage of uniting, it is annual to obtain abandoning electricity renewable energy year by abandoning electrical power constantly is cumulative, it is renewable
The ratio for abandoning electricity and the theoretical power (horse-power) that generates electricity energy year is that renewable energy abandons electric rate；It is described according to target year renewable energy
Source abandons electric rate range and determines the whole network flexibility demand capacity, may include:
Choose the intersection conduct that target year renewable energy abandons electric rate range and renewable energy abandons electric rate allowed band
The whole network can use the electric rate of abandoning；
Electric rate can be currently abandoned with electric rate setting is abandoned according to described the whole network, in actual condition, electricity rate is abandoned in setting, generally as far as possible
Take smaller value, such as 5%；And the corresponding system flexibility pondage of the electric rate of current abandoning is determined according to the relation curve, make
For the whole network flexibility demand capacity；It is usually 0~10% that the renewable energy, which abandons electric rate allowed band,；
It is described to determine that capacity is transformed in fired power generating unit flexibility according to the whole network flexibility demand capacity, may include:
It is obtained by moment fired power generating unit most according to the optimal booting calculation of capacity of the fired power generating unit of heat supply the considerations of being calculated
The difference of small technology power output, generation load and fired power generating unit minimum technology power output is the existing flexibility pondage of system, and by
System flexibility pondage in the existing flexibility pondage of moment comparison system and the whole network flexibility demand capacity, the whole network
The difference of system flexibility pondage and the existing flexibility pondage of system in flexibility demand capacity is by the moment
Need newly-increased flexibility that capacity is transformed, the maximum value of whole year newly-increased flexibility transformation capacity time series data is target year fire
Capacity is transformed in motor group flexibility；
Determine that capacity C is transformed in the fired power generating unit flexibility of t moment as the following formulaf(t):
In formula, For the system flexibility pondage of t momentFtFor the generation load of the whole network t moment,For t moment the whole network fired power generating unit minimum technology power output, I is thermal motor
The optimal booting capacity of group,It contributes for the minimum technology of s platform fired power generating unit t moment,What it is for current t moment is
System flexibility pondage,For the whole network flexibility demand capacity；
The maximum value chosen in each moment fired power generating unit flexibility transformation capacity is flexible as the fired power generating unit of target year
Property transformation capacity.
Wherein, the acquisition process of the optimal booting capacity of the fired power generating unit may include:
Obtain the fired power generating unit booting capacity for meeting the booting capacity constraints of fired power generating unit；
It can specifically include: according to target year load prediction maximum value, calculating and consider renewable energy power generation, interconnection
It sends outside, the unit start-up mode of spare capacity, all kinds of power supplys power output.Unit start-up mode should meet thermoelectricity, water power, other power supplys
The capacity that is switched on always adds within the booting period with the credible power output of renewable energy is more than or equal to maximum generation load and upper spinning reserve
The total of capacity adds, wherein generation load is power load and the adduction that interconnection is sent outside, and the optimization aim of unit start-up mode is
Other power supplys booting capacity in addition to renewable energy is minimum.
Whether verification unit start-up mode, which meets the whole network minimum load, goes out force request, i.e. thermoelectricity, water power, other power supplys are minimum
Technology power output is total plus always adds less than or equal to minimum load with lower spinning reserve capacity, executes subsequent step if meeting, is unsatisfactory for
Then adjust unit start-up mode；
The thermoelectricity minimum booting capacity for the guarantee heating that fired power generating unit booting capacity and energy supervision department are appraised and decided
Compare, takes the larger value in the two as the optimal booting capacity of fired power generating unit；Held according to the fired power generating unit booting being calculated
The thermoelectricity minimum booting capacity comparison for the guarantee heating that amount is appraised and decided with energy supervision department, if the fired power generating unit being calculated is opened
Machine capacity is less than the thermoelectricity minimum booting capacity for guaranteeing heating, then replaces with the thermoelectricity minimum booting capacity for guaranteeing heating, formed
Consider the booting capacity of the fired power generating unit of heat supply.
Wherein, the booting capacity constraints of the fired power generating unit are as follows:
Pt,max+Ph,max+Po,max+Pw,c+Ppv,c≥max{Pl+Pc}·(1+βu)
min(Pt,max+Ph,max+Po,max)
Pt,min+Ph,min+Po,min≤min{Pl+Pc}·(1+βd)
In above formula,Pw,cCapacity is predicted for target year wind-power electricity generation
Credible capacity, Ppv,cThe credible capacity of capacity, P are predicted for target year solar power generationt,maxFor the booting capacity of thermoelectricity, Ph,max
For the booting capacity of water power, Po,maxThe booting capacity of other power supplys, PlPower, P are sent outside for power loadcFunction is sent outside for interconnection
Rate,For wind power generation output prediction result,For solar power generation power output prediction result, EwIt predicts to miss for wind power generation output
Difference, EpvIt contributes for solar power generation and predicts error, CwFor wind-power electricity generation installed capacity, CpvFor solar power generation installed capacity；
Pt,minFor thermoelectricity minimum technology power output, Ph,minFor water power minimum technology power output, Po,minFor other power supply minimum technologies power output, βd
For lower rotation percentage reserve.
Fig. 4 shows the structural schematic diagram of fired power generating unit flexibility of embodiment of the present invention transformation calculation of capacity system, such as Fig. 4
Shown, the system may include:
Setup module, for abandoning electric rate range using system flexibility pondage setting target year renewable energy；
First determining module determines that the whole network flexibility demand is held for abandoning electric rate range according to target year renewable energy
Amount；
Second determining module, for determining that capacity is transformed in fired power generating unit flexibility according to the whole network flexibility demand capacity.
It is described to abandon electric rate range using system flexibility pondage setting target year renewable energy, may include:
Setting unit, for being adjusted based on target year renewable energy power generation theoretical power (horse-power) model setting system flexibility
Range of capacity；
First determination unit, for determining that target year renewable energy abandons electricity according to system flexibility pondage range
Rate range.
Wherein, the setting unit, is used for: obtaining target using target year renewable energy power generation theoretical power (horse-power) model
Maximum value P in the power generation theoretical power (horse-power) of annual each moment renewable energyca_max, system flexibility pondage P is setr's
Range are as follows: Pr∈(0,Pca_max]；
Wherein, target year renewable energy power generation theoretical power (horse-power) model are as follows:
In above formula, PcaIt (t) is the power generation theoretical power (horse-power) of target year renewable energy t moment, For wind-power electricity generation
The normalization generated output for t moment of standing,For the normalization generated output of solar power plant t moment,For wind-force hair
The generated output of power station t moment,For the abandoning electrical power of wind power station t moment, Cw(t) it is filled for the wind-powered electricity generation of the whole network t moment
Machine capacity,For the generated output of solar power plant t moment,For the abandoning electrical power of solar power plant t moment,
CpvIt (t) is the solar power generation installed capacity of the whole network t moment, i is annual sampling instant quantity；T ∈ (0, j), j are target year
Spend the quantity of sampling instant, C'w(t) installed capacity, C' are planned for the wind-powered electricity generation of target year t momentpv(t) be target year t when
The solar power generation at quarter plans installed capacity.
Specifically, first determination unit, is used for:
It is obtained according to the abandoning electrical power model at system flexibility pondage range and target year renewable energy power generation station
Take the range of the abandoning electrical power at target year renewable energy power generation station；
Electric rate model, which is abandoned, using target year renewable energy obtains the range that target year renewable energy abandons electric rate, from
And it determines system flexibility pondage and target year renewable energy and abandons the relation curve of electric rate；Wherein, the target year
Spend the abandoning electrical power model at renewable energy power generation station are as follows:
The target year renewable energy abandons electric rate model are as follows:
In above formula,For the abandoning electrical power of target year renewable energy power generation station t moment, RnFor each system flexibility
The corresponding target year renewable energy of pondage abandons electric rate, PrFor system flexibility pondage, Pr∈(0,Pca_max], j
For the quantity of target year sampling instant,For the power generation theoretical power (horse-power) of target year.
First determining module, is used for: choosing target year renewable energy and abandons electric rate range and renewable energy abandoning
The intersection of electric rate allowed band can use the electric rate of abandoning as the whole network；
Electric rate can be currently abandoned with electric rate setting is abandoned according to described the whole network, and the electric rate of current abandoning is determined according to the relation curve
Corresponding system flexibility pondage, as the whole network flexibility demand capacity.
Second determining module, is used for: determining that capacity C is transformed in the flexibility of t moment fired power generating unit as the following formulaf(t):
In formula, For the system flexibility pondage of t momentFtFor the generation load of the whole network t moment,For t moment the whole network fired power generating unit minimum technology power output, I is thermal motor
The optimal booting capacity of group,It contributes for the minimum technology of s platform fired power generating unit t moment,For the system spirit of t moment
Active Regulation capacity,For in the whole network flexibility demand capacity；
The maximum value chosen in each moment fired power generating unit flexibility transformation capacity is flexible as the fired power generating unit of target year
Property transformation capacity；
The number of units that thermoelectricity transformation total capacity can be used for that fired power generating unit is instructed to be transformed, if transformation lazy weight cannot effectively promote
It is dissolved into renewable energy, transformation quantity excessively will cause waste economically again.
Wherein, the acquisition process of the optimal booting capacity of the fired power generating unit may include:
Obtain the fired power generating unit booting capacity for meeting the booting capacity constraints of fired power generating unit；
The thermoelectricity minimum booting capacity for the guarantee heating that fired power generating unit booting capacity and energy supervision department are appraised and decided
Compare, takes the larger value in the two as the optimal booting capacity of fired power generating unit；
Wherein, the booting capacity constraints of the fired power generating unit are as follows:
Pt,max+Ph,max+Po,max+Pw,c+Ppv,c≥max{Pl+Pc}·(1+βu)
min(Pt,max+Ph,max+Po,max)
Pt,min+Ph,min+Po,min≤min{Pl+Pc}·(1+βd)
In above formula,Pw,cCapacity is predicted for target year wind-power electricity generation
Credible capacity, Ppv,cThe credible capacity of capacity, P are predicted for target year solar power generationt,maxFor the booting capacity of thermoelectricity, Ph,max
For the booting capacity of water power, Po,maxThe booting capacity of other power supplys, PlPower, P are sent outside for power loadcFunction is sent outside for interconnection
Rate,For wind power generation output prediction result,For solar power generation power output prediction result, EwFor wind power generation output prediction
Error, EpvIt contributes for solar power generation and predicts error, CwFor wind-power electricity generation installed capacity, CpvFor solar power generation installed capacity；
Pt,minFor thermoelectricity minimum technology power output, Ph,minFor water power minimum technology power output, Po,minFor other power supply minimum technologies power output, βd
For lower rotation percentage reserve.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Finally it should be noted that: the above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, to the greatest extent
Invention is explained in detail referring to above-described embodiment for pipe, it should be understood by those ordinary skilled in the art that: still
It can be with modifications or equivalent substitutions are made to specific embodiments of the invention, and without departing from any of spirit and scope of the invention
Modification or equivalent replacement, should all cover within the scope of the claims of the present invention.
Claims (14)
1. capacity calculation methods are transformed in a kind of fired power generating unit flexibility, which is characterized in that the described method includes:
Electric rate range is abandoned using system flexibility pondage setting target year renewable energy；
Electric rate range, which is abandoned, according to target year renewable energy determines the whole network flexibility demand capacity；
Determine that capacity is transformed in fired power generating unit flexibility according to the whole network flexibility demand capacity.
2. the method as described in claim 1, which is characterized in that described that target year is arranged using system flexibility pondage
Renewable energy abandons electric rate range, comprising:
Based on target year renewable energy power generation theoretical power (horse-power) model, system flexibility pondage range is set；
Determine that target year renewable energy abandons electric rate range according to system flexibility pondage range.
3. method according to claim 2, which is characterized in that described to be based on target year renewable energy power generation theoretical power (horse-power)
System flexibility pondage range is arranged in model, comprising:
The power generation of each moment renewable energy of target year is obtained using target year renewable energy power generation theoretical power (horse-power) model
Maximum value P in theoretical power (horse-power)ca_max, system flexibility pondage P is setrRange are as follows: Pr∈(0,Pca_max]；
Wherein, target year renewable energy power generation theoretical power (horse-power) model are as follows:
In above formula, PcaIt (t) is the power generation theoretical power (horse-power) of target year renewable energy t moment, For wind-power electricity generation
The normalization generated output for t moment of standing,For the normalization generated output of solar power plant t moment,For wind-force hair
The generated output of power station t moment,For the abandoning electrical power of wind power station t moment, Cw(t) it is filled for the wind-powered electricity generation of the whole network t moment
Machine capacity,For the generated output of solar power plant t moment,For the abandoning electrical power of solar power plant t moment,
CpvIt (t) is the solar power generation installed capacity of the whole network t moment, i is annual sampling instant quantity；T ∈ (0, j), j are target year
Spend the quantity of sampling instant, C'w(t) installed capacity, C' are planned for the wind-powered electricity generation of target year t momentpv(t) be target year t when
The solar power generation at quarter plans installed capacity.
4. method according to claim 2, which is characterized in that described to determine target according to system flexibility pondage range
Annual renewable energy abandons electric rate range, comprising:
Mesh is obtained according to the abandoning electrical power model at system flexibility pondage range and target year renewable energy power generation station
Mark the range of the abandoning electrical power at annual renewable energy power generation station；
Electric rate model is abandoned using target year renewable energy and obtains the range that target year renewable energy abandons electric rate, thus really
Determine system flexibility pondage and target year renewable energy abandons the relation curve of electric rate；
Wherein, the abandoning electrical power model at target year renewable energy power generation station are as follows:
The target year renewable energy abandons electric rate model are as follows:
In above formula,For the abandoning electrical power of target year renewable energy power generation station t moment, RnFor the adjusting of each system flexibility
The corresponding target year renewable energy of capacity abandons electric rate, PrFor system flexibility pondage, Pr∈(0,Pca_max], j is mesh
The quantity of annual sampling instant is marked,For the power generation theoretical power (horse-power) of target year.
5. the method as described in claim 1, which is characterized in that described true according to the electric rate range of target year renewable energy abandoning
Determine the whole network flexibility demand capacity, comprising:
It chooses target year renewable energy and abandons the intersection of electric rate range and the electric rate allowed band of renewable energy abandoning as the whole network
The electric rate of abandoning can be used；
Electric rate can be currently abandoned with electric rate setting is abandoned according to described the whole network, and determine that the electric rate of current abandoning is corresponding according to the relation curve
System flexibility pondage, as the whole network flexibility demand capacity.
6. the method as described in claim 1, which is characterized in that described to determine fired power generating unit according to the whole network flexibility demand capacity
Capacity is transformed in flexibility, comprising:
Each moment fired power generating unit flexibility transformation capacity is determined as the following formula:
In formula, Cf(t) capacity is transformed for the flexibility of t moment fired power generating unit, For the system flexibility pondage of current t moment, FtFor the generation load of the whole network t moment,For t moment the whole network
Fired power generating unit minimum technology power output, I are the optimal booting capacity of fired power generating unit,Most for s platform fired power generating unit t moment
Small technology power output,For the whole network flexibility demand capacity；
The maximum value chosen in each moment fired power generating unit flexibility transformation capacity changes as the fired power generating unit flexibility of target year
Make capacity.
7. method as claimed in claim 6, which is characterized in that the acquisition process of the optimal booting capacity of the fired power generating unit,
Include:
Obtain the fired power generating unit booting capacity for meeting the booting capacity constraints of fired power generating unit；
By fired power generating unit booting capacity compared with the thermoelectricity minimum booting capacity for the guarantee heating that energy supervision department appraises and decides,
Take the larger value in the two as the optimal booting capacity of fired power generating unit；
Wherein, the booting capacity constraints of the fired power generating unit are as follows:
Pt,max+Ph,max+Po,max+Pw,c+Ppv,c≥max{Pl+Pc}·(1+βu)
min(Pt,max+Ph,max+Po,max)
Pt,min+Ph,min+Po,min≤min{Pl+Pc}·(1+βd)
In above formula,Pw,cThe credible of capacity is predicted for target year wind-power electricity generation
Capacity, Ppv,cThe credible capacity of capacity, P are predicted for target year solar power generationt,maxFor the booting capacity of thermoelectricity, Ph,maxFor water
The booting capacity of electricity, Po,maxThe booting capacity of other power supplys, PlPower, P are sent outside for power loadcPower is sent outside for interconnection,For wind power generation output prediction result,For solar power generation power output prediction result, EwIt predicts to miss for wind power generation output
Difference, EpvIt contributes for solar power generation and predicts error, CwFor wind-power electricity generation installed capacity, CpvFor solar power generation installed capacity；
Pt,minFor thermoelectricity minimum technology power output, Ph,minFor water power minimum technology power output, Po,minFor other power supply minimum technologies power output, βd
For lower rotation percentage reserve.
8. calculation of capacity system is transformed in a kind of fired power generating unit flexibility, which is characterized in that the system comprises:
Setup module, for abandoning electric rate range using system flexibility pondage setting target year renewable energy；
First determining module determines the whole network flexibility demand capacity for abandoning electric rate range according to target year renewable energy；
Second determining module, for determining that capacity is transformed in fired power generating unit flexibility according to the whole network flexibility demand capacity.
9. system as claimed in claim 8, which is characterized in that described that target year is arranged using system flexibility pondage
Renewable energy abandons electric rate range, comprising:
Setting unit, for system flexibility pondage to be arranged based on target year renewable energy power generation theoretical power (horse-power) model
Range；
First determination unit, for determining that target year renewable energy abandons electric rate model according to system flexibility pondage range
It encloses.
10. system as claimed in claim 9, which is characterized in that the setting unit is used for:
The power generation of each moment renewable energy of target year is obtained using target year renewable energy power generation theoretical power (horse-power) model
Maximum value P in theoretical power (horse-power)ca_max, system flexibility pondage P is setrRange are as follows: Pr∈(0,Pca_max]；
Wherein, target year renewable energy power generation theoretical power (horse-power) model are as follows:
In above formula, PcaIt (t) is the power generation theoretical power (horse-power) of target year renewable energy t moment, For wind-power electricity generation
The normalization generated output for t moment of standing,For the normalization generated output of solar power plant t moment,For wind-force hair
The generated output of power station t moment,For the abandoning electrical power of wind power station t moment, Cw(t) it is filled for the wind-powered electricity generation of the whole network t moment
Machine capacity,For the generated output of solar power plant t moment,For the abandoning electrical power of solar power plant t moment,
CpvIt (t) is the solar power generation installed capacity of the whole network t moment, i is annual sampling instant quantity；T ∈ (0, j), j are target year
Spend the quantity of sampling instant, C'w(t) installed capacity, C' are planned for the wind-powered electricity generation of target year t momentpv(t) be target year t when
The solar power generation at quarter plans installed capacity.
11. system as claimed in claim 9, which is characterized in that first determination unit is used for:
Mesh is obtained according to the abandoning electrical power model at system flexibility pondage range and target year renewable energy power generation station
Mark the range of the abandoning electrical power at annual renewable energy power generation station；
Electric rate model is abandoned using target year renewable energy and obtains the range that target year renewable energy abandons electric rate, thus really
Determine system flexibility pondage and target year renewable energy abandons the relation curve of electric rate；
Electric rate model, which is abandoned, using target year renewable energy obtains the range that target year renewable energy abandons electric rate；
Wherein, the abandoning electrical power model at target year renewable energy power generation station are as follows:
The target year renewable energy abandons electric rate model are as follows:
In above formula,For the abandoning electrical power of target year renewable energy power generation station t moment, RnFor the adjusting of each system flexibility
The corresponding target year renewable energy of capacity abandons electric rate, PrFor system flexibility pondage, Pr∈(0,Pca_max], j is mesh
The quantity of annual sampling instant is marked,For the power generation theoretical power (horse-power) of target year.
12. system as claimed in claim 8, which is characterized in that first determining module is used for:
It chooses target year renewable energy and abandons the intersection of electric rate range and the electric rate allowed band of renewable energy abandoning as the whole network
The electric rate of abandoning can be used；
Electric rate can be currently abandoned with electric rate setting is abandoned according to described the whole network, and determine that the electric rate of current abandoning is corresponding according to the relation curve
System flexibility pondage, as the whole network flexibility demand capacity.
13. system as claimed in claim 8, which is characterized in that second determining module is used for:
Determine that capacity C is transformed in the flexibility of t moment fired power generating unit as the following formulaf(t):
In formula, For the system flexibility pondage of t moment
FtFor the generation load of the whole network t moment,For t moment the whole network fired power generating unit minimum technology power output, I be fired power generating unit most
Excellent booting capacity,It contributes for the minimum technology of s platform fired power generating unit t moment,System for current t moment is flexible
Property pondage,For the whole network flexibility demand capacity；
The maximum value chosen in each moment fired power generating unit flexibility transformation capacity changes as the fired power generating unit flexibility of target year
Make capacity.
14. system as claimed in claim 13, which is characterized in that the acquisition of the optimal booting capacity of the fired power generating unit
Journey, comprising:
Obtain the fired power generating unit booting capacity for meeting the booting capacity constraints of fired power generating unit；
By fired power generating unit booting capacity compared with the thermoelectricity minimum booting capacity for the guarantee heating that energy supervision department appraises and decides,
Take the larger value in the two as the optimal booting capacity of fired power generating unit；
Wherein, the booting capacity constraints of the fired power generating unit are as follows:
Pt,max+Ph,max+Po,max+Pw,c+Ppv,c≥max{Pl+Pc}·(1+βu)
min(Pt,max+Ph,max+Po,max)
Pt,min+Ph,min+Po,min≤min{Pl+Pc}·(1+βd)
In above formula,Pw,cThe credible of capacity is predicted for target year wind-power electricity generation
Capacity, Ppv,cThe credible capacity of capacity, P are predicted for target year solar power generationt,maxFor the booting capacity of thermoelectricity, Ph,maxFor water
The booting capacity of electricity, Po,maxThe booting capacity of other power supplys, PlPower, P are sent outside for power loadcPower is sent outside for interconnection,For wind power generation output prediction result,For solar power generation power output prediction result, EwError is predicted for wind power generation output,
EpvIt contributes for solar power generation and predicts error, CwFor wind-power electricity generation installed capacity, CpvFor solar power generation installed capacity；Pt,min
For thermoelectricity minimum technology power output, Ph,minFor water power minimum technology power output, Po,minFor other power supply minimum technologies power output, βdFor backspin
Turn percentage reserve.
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| CN112736961A (en) * | 2020-12-03 | 2021-04-30 | 国网综合能源服务集团有限公司 | Wind and light absorption planning method based on flexible resources |
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