CN107516909B - It can access the optimization method and device of wind power output in a kind of rack restructuring procedure - Google Patents
It can access the optimization method and device of wind power output in a kind of rack restructuring procedure Download PDFInfo
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- CN107516909B CN107516909B CN201710775487.4A CN201710775487A CN107516909B CN 107516909 B CN107516909 B CN 107516909B CN 201710775487 A CN201710775487 A CN 201710775487A CN 107516909 B CN107516909 B CN 107516909B
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- 230000005611 electricity Effects 0.000 claims abstract description 63
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- 238000011084 recovery Methods 0.000 claims abstract description 20
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- 238000004422 calculation algorithm Methods 0.000 claims description 7
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- H02J3/386—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
Abstract
The present invention provides the optimization methods and device that can access wind power output in a kind of rack restructuring procedure, this method comprises: carrying out the pre- structure of rack after wind turbine access electric system, generate reasonable pre- network forming frame；The adjustment extreme value of fluctuation and the grid-connected adjustable generating set of power output based on the pre- medium-and-large-sized output of wind electric field of network forming frame, constructing pre- network forming frame can access the Optimized model of wind-powered electricity generation amount；General uncertain programming model: two stages Robust Optimization Model is converted by optimization Optimized model, and wind-powered electricity generation amount two stages Robust Optimization Model can access to the pre- network forming frame and solve, the pre- network forming frame for obtaining optimization can access wind power output range.This method can be such that the wind power output that can be accessed in the rack restructuring procedure after wind turbine is accessed electric system and participates in large-scale blackout to it optimizes, and increase the reliability of recovery process.
Description
Technical field
The present invention relates to power system security and restore control technology field, was reconstructed in particular to a kind of rack
It can access the optimization method and device of wind power output in journey.
Background technique
With electric system scale be growing and continuous improvement of the society to power supply dependency degree, large-scale blackout
Caused by consequence it is also increasingly severe, become that modern power systems must face seriously threatens, electric system after having a power failure on a large scale
Restore also more and more important.With getting worse for environmental issue, new energy power generation technology is gradually taken seriously in the whole nation；Wind-powered electricity generation
As in addition to water power most large-scale development value renewable energy, achieve great development in recent years.With wind
The strengthened research of electricity in the power system, status in the power system are also more and more important.Therefore, wind-powered electricity generation is played in electric power
There should be effect to be very important in system recovery.
When rack reconstruct but in fact, wind turbine is accessed electric system, and after making it participate in large-scale blackout,
Due to the uncertainty of wind turbine power output, leading to rack reconstruct, there are certain risks.Therefore, it is necessary to by wind turbine to rack
It can access wind power output in restructuring procedure specifically to be optimized, existing risk, increases recovery process during reduction rack
Reliability.
Summary of the invention
In view of this, a kind of being designed to provide in rack restructuring procedure for the embodiment of the present invention can access wind power output
Optimization method and device, when can be reconstructed to the rack after accessing electric system by wind turbine and it is made to participate in large-scale blackout
The wind power output that can be accessed optimizes, and existing risk, increases the reliability of recovery process during reduction rack.
In a first aspect, the embodiment of the invention provides the optimization methods that a kind of pre- network forming frame can access wind power output, comprising:
Rack reconstruct after carrying out wind turbine access electric system, generates reasonable pre- network forming frame；
Fluctuation and the grid-connected adjustable generating set of power output based on the pre- medium-and-large-sized output of wind electric field of network forming frame
Extreme value is adjusted, constructing pre- network forming frame can access the Optimized model of wind-powered electricity generation amount；
Two stages Robust Optimization Model is converted by the Optimized model, and the two stages Robust Optimization Model is asked
Solution, obtaining pre- network forming frame in rack restructuring procedure can access wind power output range.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, in which: base
In the fluctuation of the pre- medium-and-large-sized output of wind electric field of network forming frame and the adjustment extreme value of the grid-connected adjustable generating set of power output, structure
Building pre- network forming frame can access the Optimized model of wind-powered electricity generation amount, specifically include:
The difference between wind power output maximum value and wind power output minimum value that can access with the pre- network forming frame is up to
Objective function, using power-balance, Branch Power Flow, the adjustable generating set power output of power output, output of wind electric field as constraint condition, construction
The Optimized model.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, in which: institute
It states Optimized model and meets following formula (9):
Wherein, wuThe output of wind electric field maximum value that can access for pre- network forming frame；wLThe wind power plant that can access for pre- network forming frame goes out
Power minimum value；W is wind power plant prediction power output；NonCCU is nonadjustable generating set collection of contributing；CCU is adjustable power generation of contributing
Unit collection；For the active power output for nonadjustable generating set of contributing；For going out for adjustable generating set of contributing
Power, power output size are to change with wind power output and change；Under power output for adjustable generator unit of contributing
Limit；For the power output upper limit for adjustable generating set of contributing；N is bus nodes collection；SFn,lFor the Branch Power Flow factor,For the active power output for the nonadjustable generating set of power output being connected on bus nodes n；Expression is connected to mother
The active power output of the adjustable generating set of power output on line node n；w(n)Indicate the wind power plant being connected on node n prediction power output；
wminIndicate the power output minimum value of wind turbine；wmaxIndicate the power output maximum value of wind turbine；D for system institute band load total amount.
With reference to first aspect, the embodiment of the invention provides the third possible embodiments of first aspect, in which: will
The Optimized model is converted into two stages Robust Optimization Model, and solves to the two stages Robust Optimization Model, obtains rack
Pre- network forming frame can access wind power output range in restructuring procedure, specifically include:
The Optimized model is modified, obtaining the pre- network forming frame under common-mode can access the two stages Shandong of wind-powered electricity generation amount
Stick Optimized model；
The two stages Robust Optimization Model is solved using Benders decomposition algorithm, obtains meeting trend verification
It is required that accessible wind power output range；
Wherein, in the two stages Robust Optimization Model, the decision variable of first stage is the wind that pre- network forming frame can access
The maximum value and minimum value of electric field power output；The decision variable of second stage is the power output of adjustable generating set of contributing.
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, in which: right
The pre- network forming frame can access wind-powered electricity generation amount Optimized model and be modified, and the pre- network forming frame obtained under common-mode can access wind-powered electricity generation amount
Two stages Robust Optimization Model, specifically includes:
It can access wind-powered electricity generation amount Optimized model to the pre- network forming frame using formula (10) to be modified；
Wherein, z indicates auxiliary variable, and is a stochastic variable；The value range of z is [0-1]；
Pre- network forming frame obtained can access wind-powered electricity generation amount two stages Robust Optimization Model and meet following formula (7):
With reference to first aspect, the embodiment of the invention provides the 5th kind of possible embodiments of first aspect, in which: institute
The pre- structure of rack after carrying out wind turbine access electric system is stated, reasonable pre- network forming frame is generated, specifically includes:
Based on black starting-up unit with fired power generating unit is grid-connected is tentatively restored to electric system, form initial stage rack reconstruct system
System；
According to the historical data that wind turbine is contributed, corresponding wind turbine contributed predict number in real time the acquisition rack reconstruct moment
According to；
It is contributed in real time prediction data and the initial stage rack reconfiguration system according to the wind turbine, constructs the pre- structure mould of rack
Type；
Based on the pre- structure model of the rack, rationally pre- network forming frame is obtained.
With reference to first aspect, the embodiment of the invention provides the 6th kind of possible embodiments of first aspect, in which: root
It contributes in real time prediction data and the initial stage rack reconfiguration system according to the wind turbine, constructs the pre- structure model of rack, it is specific to wrap
It includes:
The on-load switch state and branch switch state in the initial stage rack reconfiguration system are obtained, and is formed and has restored negative
He Ji, load collection to be restored have restored branch collection and branch collection to be restored；
It is up to objective function, switching variable, power-balance, Branch Power Flow, generating set with the amount of recovery of important load
Power output, phase angle are constraint condition, and the pre- structure of rack for establishing the load restoration that different degree grade is different after Large Scale Wind Farm Integration accesses is bought
Model.
With reference to first aspect, the embodiment of the invention provides the 7th kind of possible embodiments of first aspect, in which: institute
It states the pre- structure model of rack and meets following formula (1)~formula (4):
Wherein, in above-mentioned formula (1)~formula (4): L is that the load in electric system goes out line number；N is in electric system
Load outlet sum in all bus nodes；bLFor load outlet L institute on-load amount；wLFor the importance level of load outlet L；sL,t
State is cut-off in the t period for on-load switch；
αmn,tBranch switch between electric system median generatrix node m and bus nodes n cut-offs state in the t period；
sL,tAnd αmn,tIndicate that switch disconnects for the state variable for belonging to 0-1,0,1 indicates to close the switch；sL,t-1And αmn,t-1Indicate upper one
The on-load switch of period t-1 and the beginning state of branch switch, and the switch of closure of upper period t-1 this period t cannot be by
It disconnects；
PGi,tIndicate t period fired power generating unit power output；PWtIndicate t period wind turbine power output, PmnIndicate bus nodes m and bus
In branch between node n, the trend power of bus nodes n is flowed into；PnmIndicate the branch between bus nodes m and bus nodes n
Lu Zhong flows out the trend power of bus nodes m；G is total number of units of fired power generating unit；W is total number of units of Wind turbines, and K is branch
Collection；
The upper limit of the trend power flowed through in branch between bus nodes m and bus nodes n；For mother
The lower limit of the trend power flowed through in branch between line node m and bus nodes n；For t period bus nodes m and bus
The trend power flowed through in branch between node n；
For the phase angle extreme value of bus nodes；θm,tFor the angle values on t period bus nodes m；θn,tFor t period bus section
Angle values on point n；xmn,tThe line electricity inductance value of branch between bus nodes m and bus nodes n.
With reference to first aspect, the embodiment of the invention provides the 8th kind of possible embodiments of first aspect, in which: base
In the pre- structure model of the rack, rationally pre- network forming frame is obtained, is specifically included:
Using preset mathematical programming model, it is based on the pre- structure model of the rack, to the switching variable value of branch and load
It is solved, obtains the multiple groups solution of the switching variable of branch and load；In the multiple groups solution of the switching variable of the branch and load,
Including optimal solution and suboptimal solution；
Using the optimal solution of the branch acquired and the switching variable of load as preliminary pre- network forming frame, and recycles and execute following mistakes
Journey, until the result convergence of trend verification, the convergent preliminary pre- network forming frame of the result that trend is verified is as the rationally pre- structure
Rack:
The moment is reconstructed in each rack, is constructed with the recovery time most short optimal load flow model for optimization aim, and base
Optimal load flow verification is carried out to the preliminary pre- network forming frame in the optimal load flow model；
Judge whether the result of trend verification restrains；
If the result of trend verification does not restrain, the suboptimal solution that will solve the switching variable of obtained branch and load is made
For optimal solution, as the preliminary pre- network forming frame.
Second aspect, the embodiment of the present invention also provide a kind of accessible wind power output optimization device of pre- network forming frame, comprising:
The pre- structure module of rack accesses the rack reconstruct after electric system for carrying out wind turbine, generates reasonable pre- network forming
Frame；
Model construction module, for fluctuation and grid-connected power output based on the pre- medium-and-large-sized output of wind electric field of network forming frame
The adjustment extreme value of adjustable generating set, constructing pre- network forming frame can access the Optimized model of wind-powered electricity generation amount；
Computing module, for converting two stages Robust Optimization Model for the Optimized model, and to the two stages Shandong
Stick Optimized model solves, and obtaining pre- network forming frame in rack restructuring procedure can access wind power output range.
Pre- network forming frame provided by the embodiment of the present invention can access in the optimization method and device of wind power output, carry out wind-powered electricity generation
Machine accesses the pre- structure of rack after electric system, generates reasonable pre- network forming frame；Gone out based on the pre- medium-and-large-sized wind power plant of network forming frame
The adjustment extreme value of the fluctuation of power and the grid-connected adjustable generating set of power output, constructing pre- network forming frame can access the optimization of wind-powered electricity generation amount
Model；Two stages Robust Optimization Model is converted by the Optimized model, and the two stages Robust Optimization Model is solved, is obtained
Pre- network forming frame in rack restructuring procedure is taken to can access wind power output range.In above process, based on big in the pre- network forming frame
The adjustment extreme value of the fluctuation of type output of wind electric field and the grid-connected adjustable generating set of power output, constructing pre- network forming frame can access wind
After electricity Optimized model, pre- network forming frame be can access into two ranks that wind-powered electricity generation amount Optimized model is converted into the accessible wind-powered electricity generation amount of pre- network forming frame
Section Robust Optimization Model, then solves two stages Robust Optimization Model, and the pre- network forming frame for obtaining optimization can access wind-powered electricity generation
It contributes range, to realize to wind turbine being accessed electric system and when the rack after making it participate in large-scale blackout reconstructs
The wind power output that can be accessed optimizes, and existing risk, increases the reliability of recovery process during reduction rack.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 shows the optimization side that can access wind power output in a kind of rack restructuring procedure provided by the embodiment of the present invention
The flow chart of method；
Fig. 2 shows a kind of flow charts of method for generating reasonable pre- network forming frame provided by the embodiment of the present invention；
Fig. 3 shows the flow chart of the specific method of the building pre- structure model of rack provided by the embodiment of the present invention；
Fig. 4 is shown provided by the embodiment of the present invention based on the pre- structure model of the rack, obtains reasonable pre- network forming frame
The flow chart of specific method；
Fig. 5 shows in the rack restructuring procedure provided by the embodiments of the present application by taking IEEE39 node system as an example and can access
The embodiment of the optimization of wind power output；
Fig. 6 shows the optimization dress that can access wind power output in a kind of rack restructuring procedure provided by the embodiment of the present invention
The structural schematic diagram set.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
Middle attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
It is a part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is real
The component for applying example can be arranged and be designed with a variety of different configurations.Therefore, of the invention to what is provided in the accompanying drawings below
The detailed description of embodiment is not intended to limit the range of claimed invention, but is merely representative of selected reality of the invention
Apply example.Based on the embodiment of the present invention, those skilled in the art institute obtained without making creative work
There are other embodiments, shall fall within the protection scope of the present invention.
Following aspect: 1, wind is concentrated mainly on to the recovery process of electric system after wind turbine participation large-scale blackout at present
The grid-connected feasibility study of motor mainly accesses electric system after large-scale blackout to wind turbine and has carried out feasibility and grinds
Study carefully, but feasible cut-in method is not provided；2, the access opportunity of wind turbine, most of is in the power system recovery later period
The load restoration stage accesses wind turbine；3, the grid-connected strategy of wind turbine, although considering wind-powered electricity generation in Power System Restoration Process,
Be deterministic models are but based on for the recovery of wind power output, and in fact, wind-force storage have randomness and fluctuation spy
Point.Due to the uncertainty of wind turbine power output, leading to rack reconstruct, there are certain risks.Therefore, it is necessary to by wind turbine pair
It can access wind power output in rack restructuring procedure specifically to be optimized, existing risk, increases and restore during reduction rack
The reliability of process.
For convenient for understanding the present embodiment, first to a kind of wind turbine reconstructing method disclosed in the embodiment of the present invention
It describes in detail.
Shown in Figure 1, the optimization that pre- network forming frame provided by the embodiment of the present application can access wind power output includes:
S101: the rack reconstruct after carrying out wind turbine access electric system generates reasonable pre- network forming frame.It is implementing
When, pre- network forming frame generated is formed according to the prediction power output of wind power plant reasonable pre- after Large Scale Wind Farm Integration access
Network forming frame.
Specifically, shown in Figure 2, the embodiment of the present application provides a kind of rack carried out after wind turbine access electric system
Pre- structure, the method for generating reasonable pre- network forming frame, this method comprises:
S201: based on black starting-up unit with fired power generating unit is grid-connected is tentatively restored to electric system, form initial stage rack
Reconfiguration system.
Specifically, black starting-up refers to that entire electric system all has a power failure, and in complete " black " state, does not depend on other networks,
Started by the generating set in electric system with self-startup ability, drives the generating set of non self starting, gradually expand
The recovery range of large power system, finally realizes the recovery of entire electric system.Black starting-up unit is to have self-startup ability
Generating set.
After forming initial stage rack reconfiguration system, the load and branch switch in initial stage rack reconfiguration system can be obtained
State is cut-off in some period t.It is also desirable to which the node where ensuring wind turbine restores electricity, can so incite somebody to action
Wind turbine is incorporated to electric system.
S202: the historical data contributed according to wind turbine obtains rack reconstruct moment corresponding wind turbine and contributes in real time in advance
Measured data.
Specifically, since the geographical location of some wind turbine will not change, and the meteorology in some geographical location exists
There is regularity in certain time length, cause the same wind turbine power output that there is fluctuation in the short time, but have for a long time
There is certain regularity.The historical data that moment corresponding wind turbine power output can be thus reconstructed according to rack, obtains wind turbine
Power output prediction data and power output fluctuation range in real time.
In addition, acquisition rack reconstruct moment corresponding wind turbine is contributed in real time when prediction data, to go out from all wind turbines
In the historical data of power, the typical scene with the stronger wind turbine power output of the pre- structure moment relevance of rack is filtered out.Acquired wind
Motor is contributed in real time under prediction data and each typical scene, and the corresponding wind turbine of each scene is contributed prediction data in real time.
Specifically, when electric system carries out rack reconstruct, it is generally based on (such as the base of some region progress
Carried out in the range having a power failure on a large scale), therefore can first obtain the historical data that wind turbine is contributed in the region.It is obtaining in the region
When the historical data of wind turbine power output, first have to go out in force data to obtain from magnanimity wind turbine using the method for typical data screening
Rack reconstruct the corresponding related data in region, secondly from related data corresponding with the region that rack reconstructs, obtain with again
The historical data for the wind turbine power output that the structure moment is consistent.Or it can also first go out in force data from magnanimity wind turbine and obtain and reconstruct
Then it is corresponding to obtain rack reconstruction region from the related data being consistent with the reconstruct moment for the related data that moment is consistent
The historical data of wind turbine power output.After the historical data for obtaining wind turbine power output, statistical method can be used, is obtained
Wind turbine power output can fluctuate data in current rack reconstruct moment corresponding power output to wind turbine, and use certain algorithm,
According to the historical data that wind turbine is contributed, the real-time power output of wind turbine is estimated, acquisition wind turbine is contributed in real time predicts number
According to.
S203: contributing prediction data and the initial stage rack reconfiguration system in real time according to the wind turbine, constructs rack
Pre- structure model；
Shown in Figure 3, the embodiment of the present application also provides a kind of specific method for constructing the pre- structure model of rack, comprising:
S301: the on-load switch state and branch switch state in the initial stage rack reconfiguration system are obtained, and is formed
Restore load collection, load collection to be restored, restore branch collection and branch collection to be restored.
When specific implementation, due to initial stage rack reconfiguration system it has been established that system can be reconstructed from the initial stage rack
On-load switch state and branch at the time of wind turbine is accessed electric system, in initial stage rack reconfiguration system is obtained in system to open
Off status, and formed and restored load collection, load collection to be restored accordingly, restored branch collection and branch collection to be restored.
S302: contributing prediction data and the initial stage rack reconfiguration system in real time according to the wind turbine, constructs rack
Pre- structure model.
When specific implementation, the pre- structure model of constructed rack meets following formula (1)~formula (4):
It is up to target constructor to restore load during the pre- structure of rack, is formed formula (1):
Wherein, L is that the load in electric system goes out line number；N is the load outlet in electric system in all bus nodes
Sum；bLFor load outlet L institute on-load amount；wLFor the importance level of load outlet L；sL,tFor on-load switch cut-offfing in the t period
State belongs to the state variable of 0-1, and 0 indicates that on-load switch disconnects, and 1 indicates on-load switch closure.
Using on-load switch and branch switch state change as constraint condition, formed formula (2):
Wherein, αmn,tFor branch switch the cut-offfing in the t period between electric system median generatrix node m and bus nodes n
State；sL,tAnd αmn,tIndicate that switch disconnects for the state variable for belonging to 0-1,0,1 indicates to close the switch；sL,t-1And αmn,t-1It indicates
The on-load switch of upper period t-1 and the beginning state of branch switch, and a upper period t-1 closure switch this period t not
It can be disconnected.
Using power-balance, Branch Power Flow, generating set power output, phase angle as constraint condition, it is respectively formed formula (3) and formula
(4):
PGi,tIndicate t period fired power generating unit power output；PWtIndicate t period wind turbine power output, PmnIndicate bus nodes m and bus
In branch between node n, the trend power of bus nodes n is flowed into；PnmIndicate the branch between bus nodes m and bus nodes n
Lu Zhong flows out the trend power of bus nodes m；G is total number of units of fired power generating unit；W is total number of units of Wind turbines, and K is branch
Collection；
The upper limit of the trend power flowed through in branch between bus nodes m and bus nodes n；For mother
The lower limit of the trend power flowed through in branch between line node m and bus nodes n；For t period bus nodes m and bus
The trend power flowed through in branch between node n；
For the phase angle extreme value of bus nodes；θm,tFor the angle values on t period bus nodes m；θn,tFor t period bus section
Angle values on point n；xmn,tThe line electricity inductance value of branch between bus nodes m and bus nodes n.
S204: being based on the pre- structure model of the rack, obtains rationally pre- network forming frame.
Shown in Figure 4, the embodiment of the present application provides a kind of based on the pre- structure model of the rack, the reasonable pre- network forming frame of acquisition
Specific method, specifically include:
S401: using preset mathematical programming model, is based on the pre- structure model of the rack, becomes to the switch of branch and load
Magnitude is solved, and the multiple groups solution of the switching variable of branch and load is obtained；The multiple groups of the switching variable of the branch and load
Xie Zhong, including optimal solution and suboptimal solution.
When specific implementation, using preset mathematical programming model, in the pre- structure model of above-mentioned rack, to branch
It is solved with the switching variable value of load, that is, solves the s and α of each period in the pre- structure model of above-mentioned rack, and will solve
The switching variable of obtained branch and load is as the pre- network forming frame.
For example, above-mentioned planning problem can be solved using the commercial software CPLEX for solving planning, in software CPLEX
It is integrated with a variety of mathematical programming models.
S402: using the optimal solution of the branch acquired and the switching variable of load as preliminary pre- network forming frame, and execution is recycled
Following processes, until the result convergence of trend verification；
S403: the convergent preliminary pre- network forming frame of the result that trend is verified is as the rationally pre- network forming frame:
S404: reconstructing the moment in each rack, construct with the recovery time most short optimal load flow model for optimization aim,
And optimal load flow verification is carried out to the preliminary pre- network forming frame based on the optimal load flow model.
S405: judge whether the result of trend verification restrains.If it is, jumping to S403；If it is not, then jumping to
S406。
S406: if the result of trend verification does not restrain, time of the switching variable of obtained branch and load will be solved
Excellent solution is used as optimal solution, as the preliminary pre- network forming frame.
S102: fluctuation and the grid-connected adjustable generator of power output based on the pre- medium-and-large-sized output of wind electric field of network forming frame
The adjustment extreme value of group, constructing pre- network forming frame can access the Optimized model of wind-powered electricity generation amount.
When specific implementation, due to be first based on black starting-up unit and thermal motor when constructing pre- network forming frame
Group is grid-connected tentatively to restore electric system, and form initial stage rack reconfiguration system has had in the early stage in rack reconfiguration system
Black starting-up unit and part fired power generating unit are incorporated to electric system (i.e. grid-connected), and these have generated electricity by way of merging two or more grid systems unit some
Power output be it is adjustable, the power output of another part be it is nonadjustable, based on the adjustment limit of these adjustable generating sets of contributing,
Constructing pre- network forming frame can access the Optimized model of wind-powered electricity generation amount.
Specifically, the embodiment of the present application provides a kind of specific side for constructing the accessible wind-powered electricity generation amount Optimized model of pre- network forming frame
Method, this method comprises:
The difference between wind power output maximum value and wind power output minimum value that can access with the pre- network forming frame is up to
Objective function, using power-balance, Branch Power Flow, the adjustable generating set power output of power output, output of wind electric field as constraint condition, construction
The Optimized model.
Wherein, the accessible wind-powered electricity generation amount model of pre- network forming frame meets following formula (5):
In the formula, wherein wuThe output of wind electric field maximum value that can access for pre- network forming frame；wLIt can be connect for pre- network forming frame
The output of wind electric field minimum value entered；W is wind power plant prediction power output；NonCCU is nonadjustable generating set collection of contributing；CCU is
The adjustable generating set collection of power；For the active power output for nonadjustable generating set of contributing；For adjustable hair of contributing
The power output of motor group, power output size are to change with wind power output and change；For adjustable generator unit of contributing
Power output lower limit；For the power output upper limit for adjustable generating set of contributing；N is bus nodes collection；SFn,lFor Branch Power Flow
The factor,For the active power output for the nonadjustable generating set of power output being connected on bus nodes n；The company of expression
Connect the active power output of the adjustable generating set of power output on bus nodes n；w(n)Indicate that the wind power plant being connected on node n is pre-
Measure power；wminIndicate the power output minimum value of wind turbine；wmaxIndicate the power output maximum value of wind turbine；D for system institute band load
Total amount.
S103: two stages Robust Optimization Model is converted by the Optimized model, and mould is optimized to the two stages robust
Type solves, and obtaining pre- network forming frame in rack restructuring procedure can access wind power output range.
When specific implementation, consider since the pre- network forming frame obtained in S102 can access in wind-powered electricity generation amount Optimized model
The uncertainty of wind-powered electricity generation processing, it is with robust optimization similar, but the range of stochastic variable is decision variable, therefore can be to above-mentioned
Pre- network forming frame can access wind-powered electricity generation amount Optimized model and be modified, and pre- network forming frame under common-mode, which can be obtained, can access the two of wind-powered electricity generation amount
Stage Robust Optimization Model.Then two stages Robust Optimization Model is solved using Benders decomposition algorithm, is met
The accessible wind power output range that trend verification requires；Wherein, the pre- network forming frame can access the optimization of wind-powered electricity generation amount two stages robust
In model, the decision variable of first stage are as follows: the maximum value and minimum value of the accessible wind power plant wind power output of pre- network forming frame；Second
The decision variable in stage is the power output of adjustable generating set of contributing.
Specifically, the pre- network forming frame be can access into wind-powered electricity generation amount Optimized model and is converted into the accessible wind-powered electricity generation amount two of pre- network forming frame
Stage Robust Optimization Model actually converts two stages Robust Optimization Model for non-type Robust Optimization Model, firstly,
Introduce auxiliary variable z, and the value range of z is [0-1], by and z replace former stochastic variable output of wind electric field fluctuation, obtain formula
(6):
Model after output of wind electric field formula (6) substitution in the accessible wind-powered electricity generation amount Optimized model of pre- network forming frame is changed into mark
Quasi- two stages Robust Optimization Model, i.e., pre- network forming frame can access wind-powered electricity generation amount two stages Robust Optimization Model, and stochastic variable is auxiliary
Variable z, decision variable are that pre- network forming frame can access wind power output maximum value and wind power output minimum value.
Obtained two stages Robust Optimization Model is formula (7):
Pre- network forming frame obtained can access wind-powered electricity generation amount two stages Robust Optimization Model and meet following formula (7):
Wherein, in the formula (7), the decision variable of first stage is that the accessible wind park power output of pre- network forming frame is maximum
With minimum value wUAnd wL, the decision variable of second stage is adjustable generator output of contributingIt contributes adjustable hair
Motor power output upper lower limit value is determined that nonadjustable generator output upper lower limit value of contributing is taken as both having made by pre- structure wire frame model
Power.
Pre- network forming frame provided by the embodiment of the present invention can access in the optimization method and device of wind power output, carry out wind-powered electricity generation
Machine accesses the pre- structure of rack after electric system, generates reasonable pre- network forming frame；Gone out based on the pre- medium-and-large-sized wind power plant of network forming frame
The adjustment extreme value of the fluctuation of power and the grid-connected adjustable generating set of power output, constructing pre- network forming frame can access the optimization of wind-powered electricity generation amount
Model；Two stages Robust Optimization Model is converted by the Optimized model, and the two stages Robust Optimization Model is solved, is obtained
Pre- network forming frame in rack restructuring procedure is taken to can access wind power output range.In above process, based on big in the pre- network forming frame
The adjustment extreme value of the fluctuation of type output of wind electric field and the grid-connected adjustable generating set of power output, constructing pre- network forming frame can access wind
After electricity Optimized model, pre- network forming frame be can access into two ranks that wind-powered electricity generation amount Optimized model is converted into the accessible wind-powered electricity generation amount of pre- network forming frame
Section Robust Optimization Model, then solves two stages Robust Optimization Model, and the pre- network forming frame for obtaining optimization can access wind-powered electricity generation
It contributes range, to realize to wind turbine being accessed electric system and when the rack after making it participate in large-scale blackout reconstructs
The wind power output that can be accessed optimizes, and existing risk, increases the reliability of recovery process during reduction rack.
Shown in Figure 5, the application is also provided can connect in a rack restructuring procedure by taking IEEE39 node system as an example
Enter the embodiment of the optimization of wind power output:
Fig. 5 is shown by taking IEEE39 node system as an example, the set unit recovery sequence of traffic control personnel setting are as follows:
33-35-32-36-31-39-34-37-30-38 is formed using No. 33 units as black starting-up unit according to traditional rack reconstructing method
Initial rack it is as described below: grid-connected unit be except No. 33 units of black starting-up unit No. 35 units of fired power generating unit, it is extensive
The unit of multiple station service is 35,32,36,31, and node voltage is out-of-limit in order to prevent in recovery process, respectively in node 13 and section
The power load of 21 investment 62MW and 31MW of point, shown in the rack that initial rack such as Fig. 5 filament is constituted.Large Scale Wind Farm Integration at this time
No. 18 nodes of place node and grid-connected power supply.
The pre- structure module of rack to the effect that predicts that power output model is stopped greatly according to wind-powered electricity generation after Large Scale Wind Farm Integration access
The prediction power output of rack reconstruct moment wind-powered electricity generation establishes load restoration maximum model after electricity.First according to net after the access of gained wind power plant
Frame initializes system, and formation has restored load collection krWith load collection k to be restorednr.Go out wind power plant according to blower power output model prediction
Real-time power output, to predict that wind power as wind power integration amount, establishes peak load Restoration model.The present invention is finding wind power integration
The dependence for having abandoned intelligent algorithm in important level different load recovery and optimization model afterwards, avoids due to intelligent algorithm itself
Defect causes result to obtain local optimum.It can access wind-powered electricity generation amount with this stage and be up to objective function, the putting into operation of load outlet, branch
The variable that cut-offs of switch is decision variable, solves software CPLEX using commercialization and solves to pre- network forming frame formation model.Then
The pre- network forming frame of formation verified with the recovery time most short optimal load flow for target, illustrates pre- structure if trend convergence
Rack is reasonable, and amendment has restored load collection krWith load collection k to be restorednr.Otherwise, on-load switch collection k to be restored is callednrAccording to preceding
It states the model formation pre- network forming frame of suboptimum and carries out next round verification again, until forming rationally pre- network forming frame.Root after wind power integration
It is predicted that meeting shown in the rack that pre- network forming frame such as Fig. 5 perforated line that verification requires is constituted obtained by wind speed.
Wind power plant prediction power output is only considered during the pre- structure of rack, there is no the fluctuations of the wind-powered electricity generation of meter and Large Scale Wind Farm Integration, and
The fluctuation range contributed in actual operation according to the real operating condition blower of wind power plant is larger, and reconstruct rack may not be able to
The fluctuation of consumption wind power completely.Any fluctuation beyond system tolerance range under the extreme case that rack reconstructs after having a power failure on a large scale
Even more serious power outage will be caused, it is therefore necessary to carry out can access the assessment of wind-powered electricity generation amount to pre- network forming frame.Of the invention
It can access wind-powered electricity generation amount assessment models to optimize based on robust, construct can access wind-powered electricity generation Optimized model first, then make improvements
It establishes and can access wind-powered electricity generation amount two stages Robust Optimization Model, finally institute's structure model is solved using Benders decomposition algorithm,
It obtains meeting the accessible wind power output upper lower limit value that trend verification requires.
Based on the same inventive concept, it is additionally provided in the embodiment of the present invention and can access wind power output in rack restructuring procedure
The corresponding rack restructuring procedure of optimization method in can access wind power output optimization device, due to the dress in the embodiment of the present invention
It is similar to can access the optimization method of wind power output in the above-mentioned rack restructuring procedure of the embodiment of the present invention to set the principle solved the problems, such as,
Therefore the implementation of device may refer to the implementation of method, and overlaps will not be repeated.
Further embodiment of this invention also provides a kind of electric system rack reconstruct device, and shown in Figure 6, the present invention is implemented
Electric system rack provided by example reconstructs device
The pre- structure module of rack accesses the rack reconstruct after electric system for carrying out wind turbine, generates reasonable pre- network forming
Frame；
Model construction module, for fluctuation and grid-connected power output based on the pre- medium-and-large-sized output of wind electric field of network forming frame
The adjustment extreme value of adjustable generating set, constructing pre- network forming frame can access the Optimized model of wind-powered electricity generation amount；
Computing module, for converting two stages Robust Optimization Model for the Optimized model, and to the two stages Shandong
Stick Optimized model solves, and obtaining pre- network forming frame in rack restructuring procedure can access wind power output range.
Pre- network forming frame generation module, model construction module and computing module exchange method and function in the present embodiment, tool
Body is referring to shown in the corresponding embodiment of above-mentioned Fig. 1 to Fig. 5, and details are not described herein.
Pre- network forming frame provided by the embodiment of the present invention can access the optimization method of wind power output and the computer journey of device
Sequence product, the computer readable storage medium including storing program code, the instruction that said program code includes can be used for holding
Row previous methods method as described in the examples, specific implementation can be found in embodiment of the method, and details are not described herein.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description
It with the specific work process of device, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of pre- network forming frame can access wind power output optimization method characterized by comprising
Rack reconstruct after carrying out wind turbine access electric system, generates reasonable pre- network forming frame；
The adjustment of fluctuation and the grid-connected adjustable generating set of power output based on the pre- medium-and-large-sized output of wind electric field of network forming frame
Extreme value, constructing pre- network forming frame can access the Optimized model of wind-powered electricity generation amount；
Two stages Robust Optimization Model is converted by the Optimized model, and the two stages Robust Optimization Model is solved, is obtained
Pre- network forming frame in restructuring procedure is taken to can access wind power output range.
2. the method according to claim 1, wherein the wave based on the pre- medium-and-large-sized output of wind electric field of network forming frame
The adjustment extreme value of the dynamic and grid-connected adjustable generating set of power output, constructing pre- network forming frame can access the Optimized model of wind-powered electricity generation amount,
It specifically includes:
The difference between wind power output maximum value and wind power output minimum value that can access with the pre- network forming frame is up to target
Function, using power-balance, Branch Power Flow, the adjustable generating set power output of power output, output of wind electric field as constraint condition, described in construction
Optimized model.
3. according to the method described in claim 2, it is characterized in that, the Optimized model meets following formula (5):
max(wu-wL)
(5)
Wherein, wuThe output of wind electric field maximum value that can access for pre- network forming frame；wLMost for the accessible output of wind electric field of pre- network forming frame
Small value；W is wind power plant prediction power output；NonCCU is nonadjustable generating set collection of contributing；CCU is adjustable generating set of contributing
Collection；For the active power output for nonadjustable generating set of contributing；For the power output for the adjustable generating set of contributing,
Power output size is to change with wind power output and change；For the power output lower limit for adjustable generator unit of contributing；For the power output upper limit for adjustable generating set of contributing；N is bus nodes collection；SFn,lFor the Branch Power Flow factor,For
It is connected to the active power output of the nonadjustable generating set of power output on bus nodes n；Expression is connected to bus nodes n
On the adjustable generating set of power output active power output；w(n)Indicate the wind power plant being connected on node n prediction power output；wminIt indicates
The power output minimum value of wind turbine；wmaxIndicate the power output maximum value of wind turbine；D for system institute band load total amount.
4. according to the method described in claim 3, it is characterized in that, converting two stages robust optimization mould for the Optimized model
Type, and the two stages Robust Optimization Model is solved, obtaining pre- network forming frame in restructuring procedure can access wind power output range, tool
Body includes:
The Optimized model is modified, the two stages robust for obtaining the accessible wind-powered electricity generation amount of pre- network forming frame under common-mode is excellent
Change model；
The two stages Robust Optimization Model is solved using Benders decomposition algorithm, obtains meeting trend verification requirement
Accessible wind power output range；
Wherein, in the two stages Robust Optimization Model, the decision variable of first stage is the wind power plant that pre- network forming frame can access
The maximum value and minimum value of power output；The decision variable of second stage is the power output of adjustable generating set of contributing.
5. according to the method described in claim 4, it is characterized in that, to the pre- network forming frame can access wind-powered electricity generation amount Optimized model into
Row amendment, the pre- network forming frame obtained under common-mode can access wind-powered electricity generation amount two stages Robust Optimization Model, specifically include:
It can access wind-powered electricity generation amount Optimized model to the pre- network forming frame using formula (6) to be modified；
(6)
Wherein, z indicates auxiliary variable, and is a stochastic variable；The value range of z is [0-1]；
Pre- network forming frame obtained can access wind-powered electricity generation amount two stages Robust Optimization Model and meet following formula (7):
max(wu-wL)
(7)
6. method described in -5 any one according to claim 1, which is characterized in that access electric power according to the progress wind turbine
The pre- structure of rack after system generates reasonable pre- network forming frame, specifically includes:
Based on black starting-up unit with fired power generating unit is grid-connected is tentatively restored to electric system, form initial stage rack reconfiguration system；
According to the historical data that wind turbine is contributed, obtains rack reconstruct moment corresponding wind turbine and contribute in real time prediction data；
It is contributed in real time prediction data and the initial stage rack reconfiguration system according to the wind turbine, constructs the pre- structure model of rack；
Based on the pre- structure model of the rack, rationally pre- network forming frame is obtained.
7. according to the method described in claim 6, it is characterized in that, being contributed in real time prediction data and institute according to the wind turbine
Initial stage rack reconfiguration system is stated, the pre- structure model of rack is constructed, specifically includes:
The on-load switch state and branch switch state in the initial stage rack reconfiguration system are obtained, and is formed and has restored load
Collection, has restored branch collection and branch collection to be restored at load collection to be restored；
Be up to objective function with the amount of recovery of important load, switching variable, power-balance, Branch Power Flow, generating set power output,
Phase angle is constraint condition, establishes the pre- structure model of rack for the load restoration that different degree grade is different after Large Scale Wind Farm Integration accesses.
8. the method according to the description of claim 7 is characterized in that the pre- structure model of the rack meets following formula (1)~public affairs
Formula (4):
(1)
(2)
(3)
(4)
Wherein, in above-mentioned formula (1)~formula (4): L is that the load in electric system goes out line number；N is to own in electric system
Load outlet sum in bus nodes；bLFor load outlet L institute on-load amount；wLFor the importance level of load outlet L；sL,tFor
On-load switch cut-offs state the t period；
αmn,tBranch switch between electric system median generatrix node m and bus nodes n cut-offs state in the t period；sL,tWith
αmn,tIndicate that switch disconnects for the state variable for belonging to 0-1,0,1 indicates to close the switch；sL,t-1And αmn,t-1Indicate upper period t-
1 on-load switch and the beginning state of branch switch, and the switch of closure of upper period t-1 cannot be disconnected in this period t；
PGi,tIndicate t period fired power generating unit power output；PWtIndicate t period wind turbine power output, PmnIndicate bus nodes m and bus nodes
In branch between n, the trend power of bus nodes n is flowed into；PnmIt indicates in the branch between bus nodes m and bus nodes n,
Flow out the trend power of bus nodes m；G is total number of units of fired power generating unit；W is total number of units of Wind turbines, and K is branch collection；
The upper limit of the trend power flowed through in branch between bus nodes m and bus nodes n；For bus section
The lower limit of the trend power flowed through in branch between point m and bus nodes n；For t period bus nodes m and bus nodes n
Between branch in the trend power that flows through；
For the phase angle extreme value of bus nodes；θm,tFor the angle values on t period bus nodes m；θn,tFor on t period bus nodes n
Angle values；xmn,tThe line electricity inductance value of branch between bus nodes m and bus nodes n.
9. according to the method described in claim 8, acquisition is rationally pre- it is characterized in that, described be based on the rack pre- structure model
Network forming frame, specifically includes:
Using preset mathematical programming model, it is based on the pre- structure model of the rack, the switching variable value of branch and load is carried out
It solves, obtains the multiple groups solution of the switching variable of branch and load；In the multiple groups solution of the switching variable of the branch and load, including
Optimal solution and suboptimal solution；
Using the optimal solution of the branch acquired and the switching variable of load as preliminary pre- network forming frame, and recycles and executes following processes,
Until the result convergence of trend verification, the convergent preliminary pre- network forming frame of the result that trend is verified is as the rationally pre- network forming
Frame:
The moment is reconstructed in each rack, is constructed with the recovery time most short optimal load flow model for optimization aim, and be based on institute
It states optimal load flow model and optimal load flow verification is carried out to the preliminary pre- network forming frame；
Judge whether the result of trend verification restrains；
If the result of trend verification does not restrain, the suboptimal solution of the switching variable of obtained branch and load will be solved as most
Excellent solution, as the preliminary pre- network forming frame.
10. a kind of pre- network forming frame, which can access wind power output, optimizes device characterized by comprising
The pre- structure module of rack accesses the rack reconstruct after electric system for carrying out wind turbine, generates reasonable pre- network forming frame；
Model construction module, it is adjustable for fluctuating based on the pre- medium-and-large-sized output of wind electric field of network forming frame and grid-connected power output
Generating set adjustment extreme value, construct pre- network forming frame can access wind-powered electricity generation amount Optimized model；
Computing module, for converting two stages Robust Optimization Model for the Optimized model, and it is excellent to the two stages robust
Change model solution, obtaining pre- network forming frame in rack restructuring procedure can access wind power output range.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104242356A (en) * | 2014-09-26 | 2014-12-24 | 国家电网公司 | Method and device for robust interval wind power scheduling based on consideration on wind power field current collecting line fault |
| CN104715288A (en) * | 2015-02-03 | 2015-06-17 | 华北电力大学 | Nonlinear agricultural non-point source pollution control method |
| CN106327091A (en) * | 2016-08-26 | 2017-01-11 | 清华大学 | Multi-region asynchronous coordination dynamic economic dispatching method based on robustness tie line plan |
| CN106655246A (en) * | 2016-10-18 | 2017-05-10 | 国网黑龙江省电力有限公司哈尔滨供电公司 | Method of solving robust two-layer optimization model based on wind power prediction and demand response |
| CN107069716A (en) * | 2017-05-05 | 2017-08-18 | 山东大学 | A kind of robust real-time scheduling method counted and inject transfer distribution factor evaluated error |
-
2017
- 2017-08-31 CN CN201710775487.4A patent/CN107516909B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104242356A (en) * | 2014-09-26 | 2014-12-24 | 国家电网公司 | Method and device for robust interval wind power scheduling based on consideration on wind power field current collecting line fault |
| CN104715288A (en) * | 2015-02-03 | 2015-06-17 | 华北电力大学 | Nonlinear agricultural non-point source pollution control method |
| CN106327091A (en) * | 2016-08-26 | 2017-01-11 | 清华大学 | Multi-region asynchronous coordination dynamic economic dispatching method based on robustness tie line plan |
| CN106655246A (en) * | 2016-10-18 | 2017-05-10 | 国网黑龙江省电力有限公司哈尔滨供电公司 | Method of solving robust two-layer optimization model based on wind power prediction and demand response |
| CN107069716A (en) * | 2017-05-05 | 2017-08-18 | 山东大学 | A kind of robust real-time scheduling method counted and inject transfer distribution factor evaluated error |
Non-Patent Citations (1)
| Title |
|---|
| 含不确定性的鲁棒机组组合问题研究现状及展望;袁泉 等;《通信电源技术》;20160925;第33卷(第5期);全文 * |
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