CN110059843A - A kind of monthly energy market operation method of associated wind-fire Contract generation transaction - Google Patents
A kind of monthly energy market operation method of associated wind-fire Contract generation transaction Download PDFInfo
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Abstract
The invention discloses a kind of monthly energy market operation methods of associated wind-fire Contract generation transaction, comprising: determines that acceptance of the bid step, share determine that step, share decomposition step, production run simulation steps, modification ratio step, best proportion determine ratio.This method passes through in thermoelectricity long-term in and large user's direct dealing, the Contract generation for introducing wind-powered electricity generation and thermoelectricity is traded, realize long-term electricity market in wind-powered electricity generation participation, be conducive to push the development of wind-powered electricity generation all-round market, the trade variety of suitable high proportion wind-power market is probed into from wind-powered electricity generation angle, transaction cycle, simultaneously, this method has also considered the problem of how coordinating Long-term Market trading program and production simulation a few days ago in Long-term Marketization reform, from of that month global optimization, guarantee performing effectively for medium and long-term transaction plan, to realize wind-power market, solve the problems, such as that wind-powered electricity generation enters market and leads to qualitative this of unsteady market.
Description
Technical field
The present invention relates to energy market operation methods, and in particular to a kind of associated wind-fire Contract generation transaction is monthly
Energy market operation method.
Background technique
Under Power Market, a large amount of wind-powered electricity generations, the output of photovoltaic constant power have intermittent, fluctuation unit access not
New challenge is only brought to the safe and economic operation of power grid, is returned marketing and is brought acid test.To ensure market
Stablize safety, currently, Power Market Structure of the China using " plan electricity+market electricity ", and wind power output is because of its power producing characteristics, it is main
Market is participated in the form of plan electricity.Therefore, how to realize that high proportion wind-powered electricity generation enters market is one of problem urgently to be resolved, existing rank
Section lays particular emphasis on the research such as spot market mechanism of permitting the entrance, settlement mechanism, the angle from spot market for the research of wind-power market
Promote the realization of wind-power market." medium-term and long-term+stock " Power Market Structure, and electric flux long-term city in are used based on China
Transaction specific gravity is up to 80% national conditions in, and domestic scholars set about probing into Long-term Market trade variety to the shadow of wind electricity digestion
It rings, to realize the coordination optimization of Long-term Market wind-powered electricity generation and thermoelectricity.And studied for Long-term Market model, it lays particular emphasis on and probes into
Bidding fashion of trading concentrates on from the Bidding Mechanism of the suitable main market players of trade variety angle exploration and probes into Long-term Market friendship
Easily plan guarantees performing effectively for medium and long-term transaction plan from the transaction complete period.Current Medium and long term generation scheduling research achievement
The decision-making mode of " economic load dispatching+Unit Combination " is generallyd use, decision objective is that unit power purchase expense and switching cost minimize,
Another thinking is more targetedly modeled by finding the particularity of monthly energy market operation problem.
For wind-power market, at present mainly from a few days ago, the ancillary services such as spot markets mechanism and spare frequency modulation such as in real time
The foundation and optimization of market mechanism, and the existing medium-term and long-term kind of coordination optimization, promote wind-powered electricity generation to enter market.For medium-term and long-term city
Field model concentrates on and probes into Long-term Market trading program, guarantees performing effectively for medium and long-term transaction plan from the transaction complete period.
Long-term Market trading program problem is actually monthly Optimization of Unit Commitment By Improved, at present there are mainly two types of method for solving: will
The operation method of energy market a few days ago of comparative maturity is deduced to monthly problem；Another thinking is by finding monthly electric flux
The particularity of market operation problem more targetedly models.
It is studied for wind-power marketization, does not probe into the trade variety of suitable high proportion wind-power market from wind-powered electricity generation angle, hands over
The easy period.For Long-term Market model, do not consider how to coordinate Long-term Market trading program in Long-term Marketization reform
The problem of production simulation a few days ago.For Long-term Market trading program problem, the Optimized model of Unit Combination a few days ago is extended
To monthly Optimized model, this decision-making mode is substantially that traditional daily trading planning Trajectory is extended to monthly determine
In plan, since monthly time scale is longer, calculation scale is larger, because the influence of computational efficiency be difficult to it is practical；It is monthly by finding
The method that the particularity of Optimization of Unit Commitment By Improved more targetedly models, existing research primarily focuses on quantity division mould at present
Type and technique study, but monthly energy market operation problem also faces the reasonable decomposition of electricity, macrocyclic calculating complexity
The problems such as spending cannot achieve single model analysis entirety problem.
As electricity market reform promotes, how to realize wind-power market, solves wind-powered electricity generation and enter market and lead to market not
This problem of stability is more more and more urgent.
Summary of the invention
In view of the deficiencies of the prior art, the purpose of the present invention is intended to provide a kind of moon of associated wind-fire Contract generation transaction
Energy market operation method is spent, leads to qualitative this of unsteady market to realize wind-power market, solve wind-powered electricity generation and enter market
Problem.
To achieve the above object, the present invention adopts the following technical scheme:
A kind of monthly energy market operation method of associated wind-fire Contract generation transaction, comprising:
Determine acceptance of the bid step: terminal downloads the power generation capacity and power generation capacity quote data of several Power Generations from server
And the power purchase capacity and power purchase capacity quote data of several power purchase business, and brought together and bidded as target using social welfare maximization,
Determine the monthly contract transaction electricity of thermoelectricity quotient, and target power generation electricity and price in announcement；
Share determines step: by thermoelectricity quotient power generation equity partly or entirely transfer wind power plant, with and determine fired power generating unit,
The monthly contract generated energy share of Wind turbines；
Share decomposition step: monthly Contract Energy share is decomposed into hour power generation share；
Production run simulation steps: introduce monthly, day, when the straight power purchase constraint and straight power purchase units limits building life of unit
Simulation model is produced, with system operation cost and the minimum target of purchases strategies, determines the plan of putting into operation of monthly each unit and the machine that puts into operation
Group power output plan；
Modification ratio step: modification fired power generating unit, the generated energy share of Wind turbines, then repeatedly share determine step,
Share decomposition step and production run simulation steps, to obtain several production analog results；
Best proportion determines ratio: the monthly conjunction of fired power generating unit, Wind turbines is determined from several production analog results
About generated energy share best proportion.
The beneficial effects of the present invention are:
This method is handed over by thermoelectricity long-term in and large user's direct dealing, introducing the Contract generation of wind-powered electricity generation and thermoelectricity
Easily, it realizes long-term electricity market in wind-powered electricity generation participation, is conducive to the development for pushing wind-powered electricity generation all-round market, is probed into from wind-powered electricity generation angle suitable
Close high proportion wind-power market trade variety, transaction cycle, meanwhile, this method also considered Long-term Marketization reform in how
The problem of coordinating Long-term Market trading program and production simulation a few days ago, from of that month global optimization, guarantees medium and long-term transaction
Plan performs effectively, to realize wind-power market, solve the problems, such as that wind-powered electricity generation enters market and leads to qualitative this of unsteady market.
Detailed description of the invention
Fig. 1 is the monthly energy market operation method of associated wind provided in an embodiment of the present invention-fire Contract generation transaction
Flow chart.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention:
As shown in fig.1, the monthly energy market operation side of associated wind provided in this embodiment-fire Contract generation transaction
Method includes:
101, terminal downloads the power generation capacity and power generation capacity quote data and several of several Power Generations from server
The power purchase capacity and power purchase capacity quote data of power purchase business, and brought together and bidded as target using social welfare maximization, determine thermoelectricity
The monthly contract transaction electricity of quotient, and target power generation electricity and price in announcement.Certainly before this step, trade center is preparatory
Transaction bulletin is issued to monthly energy market and various constraint conditions, Power Generation and power purchase business are then carried out according to constraint condition
It submits a tender, and crucial power generation capacity and power generation capacity quote data and power purchase capacity and the quotation of power purchase capacity is filled in and be uploaded to
In server.In the present embodiment, terminal can be computer, mobile phone etc..
102, by thermoelectricity quotient power generation equity partly or entirely transfer wind power plant, with and determine fired power generating unit, Wind turbines
Monthly contract generated energy share.
103, monthly Contract Energy share is decomposed into hour power generation share.
104, introduce monthly, day, when the straight power purchase constraint and straight power purchase units limits building production simulation model of unit, with
System operation cost and the minimum target of purchases strategies determine the plan of putting into operation of monthly each unit and the unit output plan that puts into operation.
105, fired power generating unit, the generated energy share of Wind turbines are modified, then repeatedly share determines step 102-105, with
Obtain several production analog results；
106, fired power generating unit, the monthly contract generated energy share of Wind turbines are determined most from several production analog results
Ratio of greater inequality example.,
It follows that this method is by thermoelectricity long-term in and large user's direct dealing, introducing wind-powered electricity generation and thermoelectricity
Contract generation transaction realizes long-term electricity market in wind-powered electricity generation participation, probes into suitable high proportion wind-power market from wind-powered electricity generation angle
Trade variety, transaction cycle, meanwhile, this method has also considered how to coordinate Long-term Market transaction meter in Long-term Marketization reform
The problem of drawing and producing simulation a few days ago, from of that month global optimization, guarantees performing effectively for medium and long-term transaction plan, thus real
Existing wind-power market solves the problems, such as that wind-powered electricity generation enters market and leads to qualitative this of unsteady market.
Specifically, the object module of above-mentioned social welfare maximization are as follows:
Constraint condition:
Objective function (1) indicates social welfare maximization in the model.N is Power Generation sum, and m is power purchase business sum, and i is
Power Generation number, i=1,2,3 ... n, j are power purchase business number, j=1,2,3 ..., m；PijFor i-th of Power Generation and j-th of power purchase
Quotient's trading volume；The generated energy sold for i-th of Power Generation；The purchase of electricity bought for j-th of power purchase business；For power purchase business
J quotation,For Power Generation i quotation, CijFor transaction cost, 350 yuan/MW is taken.
The object module of monthly each unit plan of putting into operation and the unit output plan that puts into operation are as follows:
In formula, T is number of segment when going out clear total a few days ago, and N is unit number, and NM is total number of segment of unit multistage quotation；Cg(i,m)
It offers for full stock conventional power unit,It offers for the spot trading volume containing straight purchase conventional power unit,For containing straight purchase wind
The spot trading volume of motor group is offered, CgteThe energy storage purchase spot trading volume quotation of (i, m) Wind turbines, CzFor straight power purchase price；Pg(t,
I, m) it is full stock conventional power unit i in t m sections of power output of period；For containing straight purchase Wind turbines i in t period m
The stock power output of section；To contribute containing straight purchase Wind turbines i in t m sections of stock of period； Pgte
The energy storage i of (t, i, m) Wind turbines is in m sections of stock power purchase of t period；For containing straight purchase
Straight purchase of the unit i in the t period is contributed；SUt,iFor full stock conventional power unit i the t period booting cost.
In addition, monthly each unit plan of putting into operation and the unit output planned target model that puts into operation are additionally provided with following constraint item
Part:
System constraints:
System power balance:
B in formulaijFor the node admittance matrix ignoring branch resistance and being set up to ground leg；For the node of t period
Phase angle vector.
System positive rotation Reserve Constraint:
R in formulaU(t, i) is the positive rotation spare capacity that conventional power unit i is provided in the t period；wu% is wind power output to dextrorotation
Turn spare service demand factor；TrFor the spinning reserve response time of conventional power unit.
System negative rotation turns Reserve Constraint:
R in formulaD(t, i) is the negative spinning reserve capacity that conventional power unit i is provided in the t period；wd% is wind power output to negative rotation
Turn spare service demand factor.
Line transmission constraint:
-Plmax≤Pl≤Plmax\*MERGEFORMAT (11)
P in formulalFor the transmission capacity of route l；PlmaxFor route l maximum transfer capacity.
The complete electric conventional power unit constraint of stock:
Bound of contributing constraint:
Pgmin(i)、Pgmax(i) be respectively full stock conventional power unit i active power output lower and upper limit；U (t, i) is complete existing
Start and stop state of the goods conventional power unit i in the t period.
Climbing, landslide constraint:
RP (i), RD (i) are climb ratio of slope and the downward landslide rate of full stock conventional power unit i in formula.
The minimum continuous start/stop time constraint of unit:
T in formulaD(t,i)、TUThe time and company that (t, i), which is respectively full stock conventional power unit i, continuously to shut down in the t period
The time of continuous booting；TD、TUThe time continuously shut down for full stock conventional power unit i minimum and the time being continuously switched on.
Start expense restriction:
In formulaThe single of full stock conventional power unit i starts expense.
Conventional power unit constraint containing straight power purchase:
Bound of contributing constraint:
In formulaThe respectively active power output lower and upper limit of the conventional power unit i containing straight power purchase.
Straight purchase of electricity constraint:
In formulaFor the straight power purchase share of the conventional power unit i containing straight power purchase.
Climbing, landslide constraint:
RP in formulanz(i)、RDnz(i) climb ratio of slope and the downward landslide rate for being the conventional power unit i containing straight power purchase.
Wind power plant constraint containing energy storage:
Wind-powered electricity generation constraint:
In formulaIt contributes for Wind turbines i in the prediction of t period.
Energy storage constraint:
Power constraint:
Uc (t, i), ud (t, i) are 0-1 variable, charging of the respectively energy storage i in the t period, discharge condition in formula；Pbcmax
(i)、PbdmaxIt (i) is the maximum charge of energy storage i, discharge power.
Capacity-constrained:
SOC (t, i) is t moment, the capacity status of energy-accumulating power station i in formula；ηc(i)、ηdIt (i) is respectively filling for energy-accumulating power station i
Electrical efficiency and discharging efficiency；SOC (Fin, i), SOC (Ini, i) respectively indicate initial time and final moment, energy-accumulating power station i's
Capacity status, general value areWhereinFor the maximum capacity of energy-accumulating power station i.
Wind stores up straight power purchase constraint:
In formulaFor the straight power purchase share of Wind turbines.
Straight purchase risk constraint:
Monthly constraint:
P in formulazIt (d) is daily straight power purchase total amount.
Daily constraint:
It is constrained when per:
P in formulaz(d, t) straight power purchase total amount when being per.
Day departure constraint:
Above-mentioned monthly Unit Combination model is complicated, and time granularity 1h, 720*14 integer variable, solving speed is slow, meter
It calculates difficult, it is difficult to acquire optimal solution, be not suitable with large-scale power system.
In view of the above-mentioned problems, this method also proposes that the Unit Combination based on typical day sequence quickly simplifies method for solving, with
It is specific as follows that monthly Contract Energy share is decomposed into hour power generation share: (1) according to day curve separating thought is divided the moon, by 30 days
It is divided into 20 working days, 4 Saturdays, 4 Sundays, 2 festivals or holidays, and heaven-made from these four types of each extractions one is this type date
Typical day, be 6 groups of sequences by 4 typical day random combines；(2) of that month 6 groups of sequence probabilities distribution is sought, determines of that month choose
Combined sequence；(3) this combined sequence is selected, establishes with the 96h Unit Combination model of the minimum target of system operation cost, determines
The conventional power unit start and stop state on sequence corresponding 4 class date；(4) using the conventional power unit start and stop state on 4 class dates as of that month right
Answer the set state of date type；(5) it establishes with the monthly 720h economic load dispatching model of the minimum target of system operation cost, really
Fixed each unit output plan in this month.
Concrete model change is as follows:
Above-mentioned monthly Unit Combination modular form (17), (22), (23) are transformed to following formula (27) (28) (29) respectively, are constructed
96h Unit Combination model, determines 96h conventional power unit start and stop state u (t, i).
And using this state as monthly conventional power unit start and stop state, monthly economic load dispatching modeling production fortune is then constructed
Row, determines the power output of each unit.
Target:
Constraint condition with above-mentioned monthly each unit put into operation plan and put into operation unit output planned target model but without unit most
Small continuous startup-shutdown time-constrain and switching cost constraint.
To sum up, compared with prior art, the present invention having following technical advantage:
(1) for wind-power marketization research aspect, in long-term thermoelectricity and large user's direct dealing, wind-powered electricity generation and fire are introduced
The Contract generation transaction of electricity, realizes long-term electricity market in wind-powered electricity generation participation, probes into suitable high proportion wind-power market from wind-powered electricity generation angle
Trade variety, the transaction cycle of change.
(2) it is directed to Long-term Market model, operation reserve proposed by the present invention considers in Long-term Marketization reform such as
What coordinates the problem of Long-term Market trading program and production simulation a few days ago, from of that month global optimization, hands over for a long time in guarantee
That easily plans performs effectively.
(3) it is directed to Long-term Market trading program problem, the present invention proposes to construct based on extracting for four quasi-representative days with system
The 96h Unit Combination model of operating cost and the minimum target of purchases strategies determines the conventional power unit state on four class dates, and will
This set state assigns of that month conventional power unit, constructs 720h economic load dispatching model, and the method for determining each unit output is reduced monthly
Unit Combination calculation scale improves calculating speed, facilitates popularization in practical applications.
It will be apparent to those skilled in the art that can make various other according to the above description of the technical scheme and ideas
Corresponding change and deformation, and all these changes and deformation all should belong to the protection scope of the claims in the present invention
Within.
Claims (10)
1. a kind of monthly energy market operation method of associated wind-fire Contract generation transaction characterized by comprising
Determine acceptance of the bid step: terminal downloaded from server several Power Generations power generation capacity and power generation capacity quote data and
The power purchase capacity and power purchase capacity quote data of several power purchase business, and brought together and bidded as target using social welfare maximization, it determines
The monthly contract transaction electricity of thermoelectricity quotient, and target power generation electricity and price in announcement；
Share determines step: by middle target thermoelectricity quotient power generation equity partly or entirely transfer wind power plant, with and determine thermal motor
Group, the monthly contract generated energy share of Wind turbines；
Share decomposition step: monthly Contract Energy share is decomposed into hour power generation share；
Production run simulation steps: introduce monthly, day, when the straight power purchase constraint and straight power purchase units limits building production mould of unit
Analog model determines that the plan of putting into operation of monthly each unit and the unit that puts into operation go out with system operation cost and the minimum target of purchases strategies
Power plan；
Modification ratio step: modification fired power generating unit, the generated energy share of Wind turbines, then repeatedly share determines step, share
Decomposition step and production run simulation steps, to obtain several production analog results；
Best proportion determines ratio: the monthly contract hair of fired power generating unit, Wind turbines is determined from several production analog results
Electricity share best proportion.
2. the monthly energy market operation method of associated wind as described in claim 1-fire Contract generation transaction, feature exist
In the object module of the social welfare maximization are as follows:
Constraint condition:
Wherein, n is Power Generation sum, and m is power purchase business sum, and i is Power Generation number, and i=1,2,3 ... n, j are power purchase business number,
J=1,2,3 ..., m；PijFor i-th of Power Generation and j-th of power purchase business trading volume；The generated energy sold for i-th of Power Generation；The purchase of electricity bought for j-th of power purchase business；It offers for power purchase business j,For Power Generation i quotation, CijFor transaction cost.
3. the monthly energy market operation method of associated wind as described in claim 1-fire Contract generation transaction, feature exist
In the object module of monthly each unit plan of putting into operation and the unit output plan that puts into operation are as follows:
In formula, j is number of segment when going out clear total a few days ago, and N is unit number, and NM is total number of segment of unit multistage quotation；Cg(i, m) is complete
The quotation of stock conventional power unit,It offers for the spot trading volume containing straight purchase conventional power unit,For containing straight purchase wind turbine
The spot trading volume quotation of group, CgteThe energy storage purchase spot trading volume quotation of (i, m) Wind turbines, CzFor straight power purchase price；Pg(t,i,m)
It is full stock conventional power unit i in t m sections of power output of period；For containing straight purchase Wind turbines i at m sections of the t period
Stock is contributed；To contribute containing straight purchase Wind turbines i in t m sections of stock of period；Pgte(t,i,
M) the energy storage i of Wind turbines is in m sections of stock power purchase of t period；For containing straight purchase unit i
It contributes in the straight purchase of t period；SUt,iFor full stock conventional power unit i the t period booting cost.
4. the monthly energy market operation method of associated wind as claimed in claim 1 or 3-fire Contract generation transaction, special
Sign is, described monthly Contract Energy share is decomposed to hour power generation share to include:
It was divided into 20 working days, 4 Saturdays, 4 Sundays, 2 festivals or holidays for 30 days, and heaven-made thus from these four types of each extractions one
4 typical day random combines are 6 groups of sequences by the typical day on type date；
Of that month 6 groups of sequence probabilities distribution is sought, determines the of that month combined sequence chosen；
This combined sequence is selected, establishes with the 96h Unit Combination model of the minimum target of system operation cost, determines that sequence is corresponding
The conventional power unit start and stop state on 4 class dates；
Using the conventional power unit start and stop state on 4 class dates as the set state of of that month corresponding date type；
It establishes with the monthly 720h economic load dispatching model of the minimum target of system operation cost, to determine in terms of this month each unit output
It draws.
5. the monthly energy market operation method of associated wind as claimed in claim 3-fire Contract generation transaction, feature exist
In monthly each unit plan of putting into operation and the unit output planned target model that puts into operation are additionally provided with constraint condition, the constraint
Condition includes system constraints, the electric conventional power unit constraint of full stock, the conventional power unit constraint containing straight power purchase, the wind-powered electricity generation containing energy storage
Field constraint, the constraint of straight purchase risk.
6. the monthly energy market operation method of associated wind as claimed in claim 5-fire Contract generation transaction, feature exist
In the system constraints include:
System power balance:
B in formulaijFor the node admittance matrix ignoring branch resistance and being set up to ground leg；For the node phase angle of t period
Vector；
System positive rotation Reserve Constraint:
R in formulaU(t, i) is the positive rotation spare capacity that conventional power unit i is provided in the t period；wu% is that wind power output is standby to positive rotation
Service demand factor；TrFor the spinning reserve response time of conventional power unit；
System negative rotation turns Reserve Constraint:
R in formulaD(t, i) is the negative spinning reserve capacity that conventional power unit i is provided in the t period；wd% is that wind power output turns standby to negative rotation
Service demand factor；
Line transmission constraint:
-Plmax≤Pl≤Plmax
P in formulalFor the transmission capacity of route l；PlmaxFor route l maximum transfer capacity.
7. the monthly energy market operation method of associated wind as claimed in claim 5-fire Contract generation transaction, feature exist
In the full stock electricity conventional power unit constraint includes:
Bound of contributing constraint:
Pgmin(i)、Pgmax(i) be respectively full stock conventional power unit i active power output lower and upper limit；U (t, i) is that full stock is normal
Unit i is advised in the start and stop state of t period；
Climbing, landslide constraint:
RP (i), RD (i) are climb ratio of slope and the downward landslide rate of full stock conventional power unit i in formula；
The minimum continuous start/stop time constraint of unit:
TD(t,i)-(u(t,i)-u(t-1,i))TD≥0
TU(t,i)-(u(t-1,i)-u(t,i))TU≥0
T in formulaD(t,i)、TUThe time and continuously open that (t, i), which is respectively full stock conventional power unit i, continuously to shut down in the t period
The time of machine；TD、TUThe time continuously shut down for full stock conventional power unit i minimum and the time being continuously switched on；
Start expense restriction:
SUt,i≥0
In formulaThe single of full stock conventional power unit i starts expense.
8. the monthly energy market operation method of associated wind as claimed in claim 5-fire Contract generation transaction, feature exist
In the conventional power unit constraint containing straight power purchase includes:
Bound of contributing constraint:
In formulaThe respectively active power output lower and upper limit of the conventional power unit i containing straight power purchase；
Straight purchase of electricity constraint:
In formulaFor the straight power purchase share of the conventional power unit i containing straight power purchase；
Climbing, landslide constraint:
RP in formulanz(i)、RDnz(i) climb ratio of slope and the downward landslide rate for being the conventional power unit i containing straight power purchase.
9. the monthly energy market operation method of associated wind as claimed in claim 5-fire Contract generation transaction, feature exist
In the wind power plant constraint containing energy storage includes:
Wind-powered electricity generation constraint:
In formulaIt contributes for Wind turbines i in the prediction of t period；
Energy storage constraint:
Power constraint:
Uc (t, i), ud (t, i) are 0-1 variable, charging of the respectively energy storage i in the t period, discharge condition in formula；Pbcmax(i)、
PbdmaxIt (i) is the maximum charge of energy storage i, discharge power；
Capacity-constrained:
SOC (T, i)=SOC (Fin, i)
SOC (0, i)=SOC (Ini, i)
SOC (t, i) is t moment, the capacity status of energy-accumulating power station i in formula；ηc(i)、ηd(i) be respectively energy-accumulating power station i charging effect
Rate and discharging efficiency；SOC (Fin, i), SOC (Ini, i) respectively indicate initial time and final moment, the capacity of energy-accumulating power station i
State, whereinFor the maximum capacity of energy-accumulating power station i；
Wind stores up straight power purchase constraint:
In formulaFor the straight power purchase share of Wind turbines.
10. the monthly energy market operation method of associated wind as claimed in claim 5-fire Contract generation transaction, feature
It is, the straight purchase risk constraint includes:
Monthly constraint:
P in formulazIt (d) is daily straight power purchase total amount；
Daily constraint:
It is constrained when per:
P in formulaz(d, t) straight power purchase total amount when being per；
Day departure constraint:
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| CN110611308A (en) * | 2019-08-30 | 2019-12-24 | 贵州电网有限责任公司 | Method for correcting and determining minimum active power of new energy station participating in direct electricity purchase of large users |
| CN112653180A (en) * | 2020-09-24 | 2021-04-13 | 北京信息科技大学 | Wind-fire-storage combined system environment economic dispatching method and system |
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| CN113077096A (en) * | 2021-04-13 | 2021-07-06 | 国网安徽省电力有限公司 | Method for determining planned electricity proportion of electricity trading center |
| CN113131528A (en) * | 2021-04-23 | 2021-07-16 | 广东电网有限责任公司 | Method, device, equipment and storage medium for determining optimal capacity of wind fire bundling |
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| CN110611308A (en) * | 2019-08-30 | 2019-12-24 | 贵州电网有限责任公司 | Method for correcting and determining minimum active power of new energy station participating in direct electricity purchase of large users |
| CN110611308B (en) * | 2019-08-30 | 2022-05-06 | 贵州电网有限责任公司 | Method for correcting and determining minimum active power of new energy station participating in direct electricity purchase of large users |
| CN112653180A (en) * | 2020-09-24 | 2021-04-13 | 北京信息科技大学 | Wind-fire-storage combined system environment economic dispatching method and system |
| CN112653180B (en) * | 2020-09-24 | 2022-09-30 | 北京信息科技大学 | Wind-fire-storage combined system environment economic dispatching method and system |
| CN112668753A (en) * | 2020-12-01 | 2021-04-16 | 华电电力科学研究院有限公司 | Day-ahead safety constraint unit combination method for standby auxiliary service and electric energy coordinated optimization |
| CN112668753B (en) * | 2020-12-01 | 2022-12-09 | 华电电力科学研究院有限公司 | Day-ahead safety constraint unit combination method for standby auxiliary service and electric energy coordinated optimization |
| CN113077096A (en) * | 2021-04-13 | 2021-07-06 | 国网安徽省电力有限公司 | Method for determining planned electricity proportion of electricity trading center |
| CN113077096B (en) * | 2021-04-13 | 2023-12-15 | 国网安徽省电力有限公司 | Method for determining planned electricity proportion of electric power transaction center |
| CN113131528A (en) * | 2021-04-23 | 2021-07-16 | 广东电网有限责任公司 | Method, device, equipment and storage medium for determining optimal capacity of wind fire bundling |
| CN113904364A (en) * | 2021-09-18 | 2022-01-07 | 北京交通大学 | Method for making day-ahead power dispatching plan of wind power cluster |
| CN113904364B (en) * | 2021-09-18 | 2024-04-09 | 北京交通大学 | Method for making wind power cluster day-ahead power scheduling plan |
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