CN107516909A - The optimization method and device of wind power output are can access in a kind of rack restructuring procedure - Google Patents
The optimization method and device of wind power output are can access in a kind of rack restructuring procedure Download PDFInfo
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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
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- 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 invention provides the optimization method and device that wind power output is can access in a kind of rack restructuring procedure, this method includes：The pre- structure of rack after wind turbine access power system is carried out, generates rational pre- network forming frame；The adjustment extreme value of fluctuation and the grid-connected adjustable generating set of output based on the pre- medium-and-large-sized output of wind electric field of network forming frame, builds the Optimized model that pre- network forming frame can access wind-powered electricity generation amount；Optimization Optimized model is converted into general uncertain programming model：Two benches Robust Optimization Model, and wind-powered electricity generation amount two benches 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 scope.This method can make wind turbine is accessed into power system and participates in it in rack restructuring procedure after large-scale blackout the wind power output that can be accessed to optimize, and increase the reliability of recovery process.
Description
Technical field
The present invention relates to power system security with recovering control technology field, reconstructed in particular to a kind of rack
The optimization method and device of wind power output are can access in journey.
Background technology
With power system scale expand day by day and continuous improvement of the society to supply of electric power dependency degree, large-scale blackout
Caused by consequence it is also increasingly severe, turn into the serious threat that modern power systems must face, power system after having a power failure on a large scale
Recover also more and more important.With the getting worse of environmental issue, new energy power generation technology is gradually taken seriously in the whole nation；Wind-powered electricity generation
As the regenerative resource that most large-scale development is worth in addition to water power, great development is achieved in the last few years.With wind
Strengthened research of the electricity in power system, its status in 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.
But in fact, wind turbine is accessed into power system, and when making its rack reconstruct after participating in large-scale blackout,
Due to the uncertainty that wind turbine is contributed, rack reconstruct is caused certain risk to be present.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.
The content of the invention
In view of this, the purpose of the embodiment of the present invention can access wind power output in a kind of rack restructuring procedure is provided
Optimization method and device, can be to accessing power system and when reconstructing its rack participated in after large-scale blackout by wind turbine
The wind power output that can be accessed optimizes, existing risk during reduction rack, increases the reliability of recovery process.
In a first aspect, the embodiments of the invention provide the optimization method that a kind of pre- network forming frame can access wind power output, including：
The rack reconstruct after wind turbine access power system is carried out, generates rational pre- network forming frame；
Fluctuation and the grid-connected adjustable generating set of output based on the pre- medium-and-large-sized output of wind electric field of network forming frame
Extreme value is adjusted, builds the Optimized model that pre- network forming frame can access wind-powered electricity generation amount；
The Optimized model is converted into two benches Robust Optimization Model, and the two benches Robust Optimization Model is asked
Solution, obtain pre- network forming frame in rack restructuring procedure and can access wind power output scope.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the first of first aspect, wherein：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 output, structure
The Optimized model that pre- network forming frame can access wind-powered electricity generation amount is built, is specifically included：
Difference between the wind power output maximum and wind power output minimum value that can access with the pre- network forming frame is up to
Object function, using power-balance, Branch Power Flow, contribute adjustable generating set output, output of wind electric field as constraints, construction
The Optimized model.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of second of first aspect, wherein：Institute
State Optimized model and meet following formula (9)：
maxwu-wL
Wherein, wuThe output of wind electric field maximum 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 that wind power plant prediction is contributed；NonCCU is nonadjustable generating set collection of contributing；CCU is adjustable generating 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, its output size are to change with wind power output and change；Under output for adjustable generator unit of contributing
Limit；For the output lower 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 output being connected on bus nodes n；Expression is connected to bus section
The active power output of the adjustable generating set of output on point n；w(n)The wind power plant prediction for representing to be connected on node n is contributed；wmin
Represent the output minimum value of wind turbine；wmaxRepresent the output maximum of wind turbine；D for system institute band load total amount.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the third of first aspect, wherein：Will
The Optimized model is converted into two benches Robust Optimization Model, and the two benches Robust Optimization Model is solved, and obtains rack
Pre- network forming frame can access wind power output scope in restructuring procedure, specifically include：
The Optimized model is modified, obtains the two benches Shandong that the pre- network forming frame under common-mode can access wind-powered electricity generation amount
Rod Optimized model；
The two benches Robust Optimization Model is solved using Benders decomposition algorithms, is met trend verification
It is required that accessible wind power output scope；
Wherein, in the two benches Robust Optimization Model, the decision variable of first stage is the wind that pre- network forming frame can access
The maximum and minimum value that electric field is contributed；The decision variable of second stage is the output of the adjustable generating set of output.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 4th of first aspect kind, wherein：It is 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 benches Robust Optimization Model, is specifically included：
Wind-powered electricity generation amount Optimized model is can access using formula (10) to the pre- network forming frame to be modified；
Wherein, z represents auxiliary variable, and is a stochastic variable；Z span is [0-1]；
The pre- network forming frame obtained can access wind-powered electricity generation amount two benches Robust Optimization Model and meet following formula (7)：
maxwu-wL
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 5th of first aspect kind, wherein：Institute
The pre- structure of rack after carrying out wind turbine access power system is stated, rational pre- network forming frame is generated, specifically includes：
Based on black starting-up unit with fired power generating unit is grid-connected that power system is tentatively recovered, form rack reconstruct at initial stage system
System；
The historical data contributed according to wind turbine, wind turbine corresponding to the acquisition rack reconstruct moment is contributed in real time predicts number
According to；
According to the wind turbine output prediction data and rack at the initial stage reconfiguration system in real time, the pre- structure mould of rack is built
Type；
Based on the pre- structure model of the rack, rationally pre- network forming frame is obtained.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 6th of first aspect kind, wherein：Root
According to the wind turbine, output prediction data and rack at the initial stage reconfiguration system, the structure pre- structure model of rack are specific to wrap in real time
Include：
The on-load switch state and branch switch state in rack at the initial stage reconfiguration system are obtained, and is formed and has recovered negative
He Ji, load collection to be restored, branch road collection and branch road collection to be restored are recovered；
Object function, switching variable, power-balance, Branch Power Flow, generating set are up to the amount of recovery of important load
Output, phase angle are constraints, and the pre- structure of rack for establishing the load restoration that importance grade is different after Large Scale Wind Farm Integration accesses is bought
Model.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 7th of first aspect kind, wherein：Institute
State the pre- structure model of rack and meet following formula (1)~formula (4)：
Wherein, in above-mentioned formula (1)~formula (4)：L is that the load in power system goes out line number；N is in power system
Load outlet sum in all bus nodes；bLFor load outlet L institutes on-load amount；wLFor load outlet L importance level；sL,t
For on-load switch state is cut-off in the t periods；
αmn,tBranch switch between power system median generatrix node m and bus nodes n cut-offs state in the t periods；
sL,tAnd αmn,tRepresent to switch off to belong to 0-1 state variable, 0,1 represents switch closure；sL,t-1And αmn,t-1Represent upper one
Period t-1 on-load switch and the beginning state of branch switch, and the switch of closure of upper period t-1 can not be by this period t
Disconnect；
PGi,tRepresent that t periods fired power generating unit is contributed；PWtRepresent that t periods wind turbine is contributed, PmnRepresent bus nodes m and bus
In branch road between node n, bus nodes n trend power is flowed into；PnmRepresent the branch between bus nodes m and bus nodes n
Lu Zhong, outflow bus nodes m trend power；G is total number of units of fired power generating unit；W is total number of units of Wind turbines, and K is branch road
Collection；
The upper limit of the trend power flowed through in branch road between bus nodes m and bus nodes n；For bus
The lower limit of the trend power flowed through in branch road between node m and bus nodes n；For t period bus nodes m and bus section
The trend power flowed through in branch road between point 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 sections
Angle values on point n；xmn,tThe line electricity inductance value of branch road between bus nodes m and bus nodes n.
With reference in a first aspect, the embodiments of the invention provide the possible embodiment of the 8th of first aspect kind, wherein：Base
In the pre- structure model of the rack, rationally pre- network forming frame is obtained, is specifically included：
Using default mathematical programming model, based on the pre- structure model of the rack, to the switching variable value of branch road and load
Solved, obtain multigroup solution of the switching variable of branch road and load；In described road and multigroup solution of the switching variable of load,
Including optimal solution and suboptimal solution；
Using the optimal solution of the branch road tried to achieve and the switching variable of load as preliminary pre- network forming frame, and circulate and perform following mistakes
Journey, until the result convergence of trend verification, the convergent preliminary pre- network forming frame of result that trend is verified is as the rationally pre- structure
Rack：
The moment is reconstructed in each rack, is built 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 road 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 pre- network forming frame and can access wind power output optimization device, including：
The pre- structure module of rack, the rack reconstruct accessed for carrying out wind turbine after power system, generates rational pre- network forming
Frame；
Model construction module, for the fluctuation based on the pre- medium-and-large-sized output of wind electric field of network forming frame and grid-connected output
The adjustment extreme value of adjustable generating set, build the Optimized model that pre- network forming frame can access wind-powered electricity generation amount；
Computing module, for the Optimized model to be converted into two benches Robust Optimization Model, and to the two benches Shandong
Rod Optimized model solves, and obtains pre- network forming frame in rack restructuring procedure and can access wind power output scope.
The pre- network forming frame that the embodiment of the present invention is provided can access in the optimization method and device of wind power output, carry out wind-powered electricity generation
The pre- structure of rack after machine access power system, generates rational pre- network forming frame；Gone out based on the pre- medium-and-large-sized wind power plant of network forming frame
The fluctuation of power and the adjustment extreme value of the grid-connected adjustable generating set of output, build the optimization that pre- network forming frame can access wind-powered electricity generation amount
Model；The Optimized model is converted into two benches Robust Optimization Model, and the two benches Robust Optimization Model is solved, is obtained
Pre- network forming frame in rack restructuring procedure is taken to can access wind power output scope.In above process, based on big in the pre- network forming frame
The fluctuation of type output of wind electric field and the adjustment extreme value of the grid-connected adjustable generating set of output, build pre- network forming frame and can access wind
After electricity Optimized model, the accessible wind-powered electricity generation amount Optimized model of pre- network forming frame is converted into two ranks of the accessible wind-powered electricity generation amount of pre- network forming frame
Section Robust Optimization Model, is then solved to two benches Robust Optimization Model, and the pre- network forming frame for obtaining optimization can access wind-powered electricity generation
Output scope, it is achieved thereby that to wind turbine is accessed into power system and when reconstructing its rack participated in after large-scale blackout
The wind power output that can be accessed optimizes, existing risk during reduction rack, increases the reliability of recovery process.
To enable the above objects, features and advantages of the present invention to become apparent, preferred embodiment cited below particularly, and coordinate
Appended accompanying drawing, is described in detail below.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by embodiment it is required use it is attached
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore be not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 shows the optimization side that wind power output is can access in a kind of rack restructuring procedure that the embodiment of the present invention is provided
The flow chart of method；
Fig. 2 shows a kind of flow chart of the rational method of pre- network forming frame of generation that the embodiment of the present invention is provided；
Fig. 3 shows the flow chart of the specific method for the structure pre- structure model of rack that the embodiment of the present invention is provided；
Fig. 4 show that the embodiment of the present invention provided based on the pre- structure model of the rack, obtain reasonable pre- network forming frame
The flow chart of specific method；
Fig. 5 shows in the rack restructuring procedure by taking IEEE39 node systems as an example that the embodiment of the present application provides and can access
The embodiment of the optimization of wind power output；
Fig. 6 shows the optimization dress that wind power output is can access in a kind of rack restructuring procedure that the embodiment of the present invention is provided
The structural representation put.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
Middle accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
It is part of the embodiment of the present invention, rather than whole embodiments.The present invention being generally described and illustrated herein in the accompanying drawings is real
Applying the component of example can be configured to arrange and design with a variety of.Therefore, it is of the invention to what is provided in the accompanying drawings below
The detailed description of embodiment is not intended to limit the scope of claimed invention, but is merely representative of the selected reality of the present invention
Apply example.Based on embodiments of the invention, institute that those skilled in the art are obtained on the premise of creative work is not made
There is other embodiment, belong to the scope of protection of the invention.
Following aspect is concentrated mainly on to the recovery process of power system after wind turbine participation large-scale blackout at present：1st, wind
The grid-connected feasibility study of motor, it, which mainly accesses power system after large-scale blackout to wind turbine and has carried out feasibility, grinds
Study carefully, but feasible cut-in method is not provided；2nd, the access opportunity of wind turbine, most of is in the power system recovery later stage
The load restoration stage accesses wind turbine；3rd, the grid-connected strategy of wind turbine, although considering wind-powered electricity generation in Power System Restoration Process,
It is that recovery for wind power output is but based on deterministic models, and in fact, wind-force storing up electricity has the spy of randomness and fluctuation
Point.Due to the uncertainty that wind turbine is contributed, rack reconstruct is caused certain risk to be present.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 during reduction rack, increase recovery
The reliability of process.
For ease of understanding the present embodiment, first to a kind of wind turbine reconstructing method disclosed in the embodiment of the present invention
Describe in detail.
Shown in Figure 1, the optimization that the pre- network forming frame that the embodiment of the present application is provided can access wind power output includes：
S101：The rack reconstruct after wind turbine access power system is carried out, generates rational pre- network forming frame.Implementing
When, the pre- network forming frame that is generated, it is after Large Scale Wind Farm Integration access, being contributed according to the prediction of wind power plant, it is reasonable pre- to be formed
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 power system
Pre- structure, the method for generating rational pre- network forming frame, this method include：
S201：Based on black starting-up unit with fired power generating unit is grid-connected that power system is tentatively recovered, form rack at initial stage
Reconfiguration system.
Specifically, black starting-up refers to that whole power system all has a power failure, in complete " black " state, independent of other networks,
By having the generating set of self-startup ability to start in power system, the generating set of non self starting is driven, is gradually expanded
The recovery scope of large power system, finally realizes the recovery of whole power system.Black starting-up unit is to have self-startup ability
Generating set.
After rack reconfiguration system at initial stage is formed, the load and branch switch in rack reconfiguration system at initial stage 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 power system.
S202：The historical data contributed according to wind turbine, obtaining wind turbine corresponding to the rack reconstruct moment, output is pre- in real time
Survey data.
Specifically, because the geographical position of some wind turbine will not change, and the meteorology in some geographical position exists
There is regularity, cause same wind turbine to contribute has fluctuation in the short time, but has for a long time in certain time length
There is certain regularity.Thus can according to rack reconstruct the moment corresponding to wind turbine contribute historical data, obtain wind turbine
Real-time output prediction data and output fluctuation range.
In addition, obtain rack reconstruct the moment corresponding to wind turbine in real time output prediction data when, to go out from all wind turbines
In the historical data of power, the typical scene contributed with the stronger wind turbine of the pre- structure moment relevance of rack is filtered out.Acquired wind
Motor is contributed under prediction data, and each typical scene in real time, and wind turbine corresponding to each scene is contributed prediction data in real time.
Specifically, when power system carries out rack reconstruct, it is generally based on (such as the base of some region progress
Carried out in the scope having a power failure on a large scale), therefore can first obtain the historical data that wind turbine is contributed in the region.Obtaining in the region
During the historical data that wind turbine is contributed, first have to go out in force data to obtain from magnanimity wind turbine using the method for typical data screening
Rack reconstruct region corresponding to related data, secondly from related data corresponding with the region that rack reconstructs, obtain with again
The historical data that the wind turbine that the structure moment is consistent is contributed.Or it can also first go out from magnanimity wind turbine in force data and obtain and reconstruct
The related data that moment is consistent, it is corresponding then to obtain rack reconstruction region from the related data being consistent with the reconstruct moment
The historical data that wind turbine is contributed.After the historical data of wind turbine output is obtained, statistical method can be used, is obtained
Wind turbine is contributed can be to wind turbine in fluctuation data of being contributed corresponding to the current rack reconstruct moment, and uses certain algorithm,
The historical data contributed according to wind turbine, is estimated to the real-time output of wind turbine, and acquisition wind turbine is contributed in real time predicts number
According to.
S203：According to the wind turbine output prediction data and rack at the initial stage reconfiguration system in real time, rack is built
Pre- structure model；
Shown in Figure 3, the embodiment of the present application also provides a kind of specific method for building the pre- structure model of rack, including：
S301：The on-load switch state and branch switch state in rack at the initial stage reconfiguration system are obtained, and is formed
Recover load collection, load collection to be restored, recover branch road collection and branch road collection to be restored.
, it has been established that can be from rack reconstruct at the initial stage system due to rack reconfiguration system at initial stage when specific implementation
Obtained in system at the time of wind turbine is accessed into power system, the on-load switch state and branch road in initial stage rack reconfiguration system are opened
Off status, and formed and recovered load collection, load collection to be restored accordingly, recovered branch road collection and branch road collection to be restored.
S302：According to the wind turbine output prediction data and rack at the initial stage reconfiguration system in real time, rack is built
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 recover load during the pre- structure of rack, forms formula (1)：
Wherein, L is that the load in power system goes out line number；N is the load outlet in all bus nodes in power system
Sum；bLFor load outlet L institutes on-load amount；wLFor load outlet L importance level；sL,tFor on-load switch cut-offfing in the t periods
State, belong to 0-1 state variable, 0 represents that on-load switch disconnects, and 1 represents on-load switch closure.
Using on-load switch and branch switch state change as constraints, formula (2) is formed：
Wherein, αmn,tFor branch switch the cut-offfing in the t periods between power system median generatrix node m and bus nodes n
State；sL,tAnd αmn,tRepresent to switch off to belong to 0-1 state variable, 0,1 represents switch closure；sL,t-1And αmn,t-1Represent
The on-load switch of upper period t-1 and the beginning state of branch switch, and a upper period t-1 closure switch in this period t not
It can be disconnected.
Using power-balance, Branch Power Flow, generating set output, phase angle as constraints, formula (3) and formula are formed respectively
(4)：
PGi,tRepresent that t periods fired power generating unit is contributed；PWtRepresent that t periods wind turbine is contributed, PmnRepresent bus nodes m and bus
In branch road between node n, bus nodes n trend power is flowed into；PnmRepresent the branch between bus nodes m and bus nodes n
Lu Zhong, outflow bus nodes m trend power；G is total number of units of fired power generating unit；W is total number of units of Wind turbines, and K is branch road
Collection；
The upper limit of the trend power flowed through in branch road between bus nodes m and bus nodes n；For bus
The lower limit of the trend power flowed through in branch road between node m and bus nodes n；For t period bus nodes m and bus section
The trend power flowed through in branch road between point 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 sections
Angle values on point n；xmn,tThe line electricity inductance value of branch road between bus nodes m and bus nodes n.
S204：Based on the pre- structure model of the rack, rationally pre- network forming frame is obtained.
Shown in Figure 4, the embodiment of the present application provides one kind and is based on the pre- structure model of the rack, obtains rationally pre- network forming frame
Specific method, specifically include：
S401：Using default mathematical programming model, based on the pre- structure model of the rack, the switch of branch road and load is become
Value is solved, and obtains multigroup solution of the switching variable of branch road and load；Described road and the switching variable of load it is multigroup
Xie Zhong, including optimal solution and suboptimal solution.
When specific implementation, using default mathematical programming model, in the pre- structure model of above-mentioned rack, to branch road
Solved with the switching variable value of load, that is, solve the s and α of each period in the pre- structure model of above-mentioned rack, and will solve
Obtained branch road and the switching variable of load is as the pre- network forming frame.
It is for instance possible to use the commercial software CPLEX for solving planning solves above-mentioned planning problem, in software CPLEX
It is integrated with a variety of mathematical programming models.
S402：Using the optimal solution of the branch road tried to achieve and the switching variable of load as preliminary pre- network forming frame, and circulate execution
Following processes, until the result convergence of trend verification；
S403：The convergent preliminary pre- network forming frame of result that trend is verified is as the rationally pre- network forming frame：
S404：The moment is reconstructed in each rack, is built 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, jump to S403；If it is not, then jump to
S406。
S406：If the result of trend verification does not restrain, time of the switching variable of obtained branch road 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 output based on the pre- medium-and-large-sized output of wind electric field of network forming frame
The adjustment extreme value of group, build the Optimized model that pre- network forming frame can access wind-powered electricity generation amount.
When specific implementation, due to when pre- network forming frame is built, to be first based on black starting-up unit and thermal motor
Group is grid-connected tentatively to be recovered to power system, forms rack reconfiguration system at initial stage, in the early stage in rack reconfiguration system, has had
Black starting-up unit and part fired power generating unit are incorporated to power system (i.e. grid-connected), and these have generated electricity by way of merging two or more grid systems unit some
Output is adjustable, and the output of another part is nonadjustable, based on the adjustment limit of these adjustable generating sets of output,
Build the Optimized model that pre- network forming frame can access wind-powered electricity generation amount.
Specifically, the embodiment of the present application provides a kind of specific side for building pre- network forming frame and can access wind-powered electricity generation amount Optimized model
Method, this method include：
Difference between the wind power output maximum and wind power output minimum value that can access with the pre- network forming frame is up to
Object function, using power-balance, Branch Power Flow, contribute adjustable generating set output, output of wind electric field as constraints, construction
The Optimized model.
Wherein, the accessible wind-powered electricity generation amount model of pre- network forming frame meets following formula (5)：
maxwu-wL
In the formula, wherein, wuThe output of wind electric field maximum 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 that wind power plant prediction is contributed；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 output of group of motors, its output size are to change with wind power output and change；For adjustable generator unit of contributing
Output lower limit；For the output lower 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 output being connected on bus nodes n；Represent connection
The active power output of the adjustable generating set of output on bus nodes n；w(n)Represent the wind-powered electricity generation field prediction being connected on node n
Contribute；wminRepresent the output minimum value of wind turbine；wmaxRepresent the output maximum of wind turbine；D is total for the load of system institute band
Amount.
S103：The Optimized model is converted into two benches Robust Optimization Model, and mould is optimized to the two benches robust
Type solves, and obtains pre- network forming frame in rack restructuring procedure and can access wind power output scope.
When specific implementation, consider by the pre- network forming frame drawn in S102 can access in wind-powered electricity generation amount Optimized model
The uncertainty of wind-powered electricity generation processing, it is similar with robust optimization, but the scope 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 can obtain pre- network forming frame under common-mode and can access the two of wind-powered electricity generation amount
Stage Robust Optimization Model.Then two benches Robust Optimization Model is solved using Benders decomposition algorithms, be met
The accessible wind power output scope that trend verification requires；Wherein, the pre- network forming frame can access the optimization of wind-powered electricity generation amount two benches robust
In model, the decision variable of first stage is：The maximum and minimum value that the accessible wind power plant wind of pre- network forming frame is contributed；Second
The decision variable in stage is the output of the adjustable generating set of output.
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, non-type Robust Optimization Model is actually converted into two benches Robust Optimization Model, first,
Introduce auxiliary variable z, and z span be [0-1], by and z instead of the fluctuation of former stochastic variable output of wind electric field, obtain formula
(6)：
Pre- network forming frame be can access into output of wind electric field in wind-powered electricity generation amount Optimized model and be changed into mark with model after formula (6) replacement
Quasi- two benches Robust Optimization Model, i.e., pre- network forming frame can access wind-powered electricity generation amount two benches Robust Optimization Model, and stochastic variable is auxiliary
Variable z, decision variable are that pre- network forming frame can access wind power output maximum and wind power output minimum value.
Resulting two benches Robust Optimization Model is formula (7)：
The pre- network forming frame obtained can access wind-powered electricity generation amount two benches Robust Optimization Model and meet following formula (7)：
maxwu-wL
Wherein, in the formula (7), the decision variable of first stage is that the accessible wind park output of pre- network forming frame is maximum
With minimum value wUAnd wL, the decision variable of second stage is adjustable generator output of contributingContribute adjustable hair
Motor 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.
The pre- network forming frame that the embodiment of the present invention is provided can access in the optimization method and device of wind power output, carry out wind-powered electricity generation
The pre- structure of rack after machine access power system, generates rational pre- network forming frame；Gone out based on the pre- medium-and-large-sized wind power plant of network forming frame
The fluctuation of power and the adjustment extreme value of the grid-connected adjustable generating set of output, build the optimization that pre- network forming frame can access wind-powered electricity generation amount
Model；The Optimized model is converted into two benches Robust Optimization Model, and the two benches Robust Optimization Model is solved, is obtained
Pre- network forming frame in rack restructuring procedure is taken to can access wind power output scope.In above process, based on big in the pre- network forming frame
The fluctuation of type output of wind electric field and the adjustment extreme value of the grid-connected adjustable generating set of output, build pre- network forming frame and can access wind
After electricity Optimized model, the accessible wind-powered electricity generation amount Optimized model of pre- network forming frame is converted into two ranks of the accessible wind-powered electricity generation amount of pre- network forming frame
Section Robust Optimization Model, is then solved to two benches Robust Optimization Model, and the pre- network forming frame for obtaining optimization can access wind-powered electricity generation
Output scope, it is achieved thereby that to wind turbine is accessed into power system and when reconstructing its rack participated in after large-scale blackout
The wind power output that can be accessed optimizes, existing risk during reduction rack, increases the reliability of recovery process.
Shown in Figure 5, the application also provides can connect in a rack restructuring procedure by taking IEEE39 node systems as an example
Enter the embodiment of the optimization of wind power output：
Fig. 5 is shown by taking IEEE39 node systems as an example, and the set unit recovery order that traffic control personnel are set is：
33-35-32-36-31-39-34-37-30-38, using No. 33 units as black starting-up unit, formed according to traditional rack reconstructing method
Initial rack it is as described below：Grid-connected unit is No. 35 units of fired power generating unit that except black starts No. 33 units of unit, extensive
The unit of multiple station service is 35,32,36,31, in order to prevent that node voltage is out-of-limit in recovery process, respectively in node 13 and section
The input of point 21 62MW and 31MW power load, initial rack is as shown in the rack that Fig. 5 fine rules are formed.Now Large Scale Wind Farm Integration
No. 18 nodes of place node and grid-connected power supply.
The pre- structure module of rack to the effect that predicts that output model is stopped greatly according to wind-powered electricity generation after Large Scale Wind Farm Integration access
The prediction of rack reconstruct moment wind-powered electricity generation, which is contributed, after electricity establishes load restoration maximum model.Net after being accessed first according to gained wind power plant
Frame initializes system, and formation has recovered load collection krWith load collection k to be restorednr.Wind power plant is gone out according to blower fan output model prediction
Real-time 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 of intelligent algorithm is abandoned in important level different load recovery and optimization model afterwards, has avoided due to intelligent algorithm in itself
Defect causes result to obtain local optimum.Wind-powered electricity generation amount can access with this stage and be up to object function, the putting into operation of load outlet, branch road
The variable that cut-offs of switch is decision variable, and solve software CPLEX using commercialization 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 restrains
Rack is reasonable, and amendment has recovered load collection krWith load collection k to be restorednr.Otherwise, on-load switch collection k to be restored is callednrAccording to preceding
State the model formation pre- network forming frame of suboptimum and carry out next round verification again, untill forming rationally pre- network forming frame.Root after wind power integration
It is predicted that meet the pre- network forming frame of verification requirement as shown in the rack that Fig. 5 perforated lines are formed obtained by wind speed.
Only consider that wind power plant prediction is contributed during the pre- structure of rack, the not wind-powered electricity generation of meter and Large Scale Wind Farm Integration fluctuation, and
The fluctuation range contributed in actual motion according to the real operating condition blower fan of wind power plant is larger, and reconstruct rack might not energy
The fluctuation of consumption wind power completely.Any fluctuation beyond system tolerance range under the extreme case that rack after having a power failure on a large scale reconstructs
Even more serious power outage will be triggered, it is therefore necessary to pre- network forming frame is carried out to can access the assessment of wind-powered electricity generation amount.The present invention's
It can access wind-powered electricity generation amount assessment models based on robust to optimize, build can access wind-powered electricity generation Optimized model first, then make improvements
Establish and can access wind-powered electricity generation amount two benches Robust Optimization Model, finally institute's structure model is solved using Benders decomposition algorithms,
It is met the accessible wind power output upper lower limit value that trend verification requires.
Based on same inventive concept, additionally provided in the embodiment of the present invention with can access wind power output in rack restructuring procedure
Optimization method corresponding to the optimization device of wind power output is can access in rack restructuring procedure, due to the dress in the embodiment of the present invention
It is similar to the optimization method that wind power output is can access in the above-mentioned rack restructuring procedure of the embodiment of the present invention to put the principle solved the problems, such as,
Therefore the implementation of device may refer to the implementation of method, repeats part and repeats no more.
Further embodiment of this invention also provides a kind of power system rack reconstruct device, and shown in Figure 6, the present invention is implemented
The power system rack reconstruct device that example is provided includes：
The pre- structure module of rack, the rack reconstruct accessed for carrying out wind turbine after power system, generates rational pre- network forming
Frame；
Model construction module, for the fluctuation based on the pre- medium-and-large-sized output of wind electric field of network forming frame and grid-connected output
The adjustment extreme value of adjustable generating set, build the Optimized model that pre- network forming frame can access wind-powered electricity generation amount；
Computing module, for the Optimized model to be converted into two benches Robust Optimization Model, and to the two benches Shandong
Rod Optimized model solves, and obtains pre- network forming frame in rack restructuring procedure and can access wind power output scope.
Pre- network forming frame generation module, model construction module and computing module exchange method and function in the present embodiment, tool
Body corresponding to above-mentioned Fig. 1 to Fig. 5 referring to shown in embodiment, will not be repeated here.
The pre- network forming frame that the embodiment of the present invention is provided can access the optimization method of wind power output and the computer journey of device
Sequence product, including the computer-readable recording medium of program code is stored, the instruction that described program code includes can be used for holding
Method described in row previous methods embodiment, specific implementation can be found in embodiment of the method, will not be repeated here.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description
With the specific work process of device, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
If the function is realized in the form of SFU software functional unit and is used as independent production marketing or in use, can be with
It is stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially in other words
The part to be contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are causing a computer equipment (can be
People's computer, server, or network equipment etc.) perform all or part of step of each embodiment methods described of the present invention.
And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all be contained
Cover within protection scope of the present invention.Therefore, protection scope of the present invention described should be defined by scope of the claims.
Claims (10)
1. a kind of pre- network forming frame can access wind power output optimization method, it is characterised in that including：
The rack reconstruct after wind turbine access power system is carried out, generates rational pre- network forming frame；
The adjustment of fluctuation and the grid-connected adjustable generating set of output based on the pre- medium-and-large-sized output of wind electric field of network forming frame
Extreme value, build the Optimized model that pre- network forming frame can access wind-powered electricity generation amount；
The Optimized model is converted into two benches Robust Optimization Model, and the two benches Robust Optimization Model is solved, is obtained
Pre- network forming frame in restructuring procedure is taken to can access wind power output scope.
2. according to the method for claim 1, it is characterised in that the ripple 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 output, builds the Optimized model that pre- network forming frame can access wind-powered electricity generation amount,
Specifically include：
Difference between the wind power output maximum 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, contribute adjustable generating set output, output of wind electric field as constraints, described in construction
Optimized model.
3. according to the method for claim 2, it is characterised in that the Optimized model meets following formula (5)：
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Wherein, wuThe output of wind electric field maximum that can access for pre- network forming frame；wLFor the accessible output of wind electric field of pre- network forming frame most
Small value；W is that wind power plant prediction is contributed；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 output for adjustable generating set of contributing, it goes out
Power size is to change with wind power output and change；For the output lower limit for adjustable generator unit of contributing；
For the output lower limit for adjustable generating set of contributing；N is bus nodes collection；SFn,lFor the Branch Power Flow factor,To be connected to
The active power output of the nonadjustable generating set of output on bus nodes n；Expression is connected to going out on bus nodes n
The active power output of the adjustable generating set of power；w(n)The wind power plant prediction for representing to be connected on node n is contributed；wminRepresent wind turbine
Output minimum value；wmaxRepresent the output maximum of wind turbine；D for system institute band load total amount.
4. according to the method for claim 3, it is characterised in that the Optimized model is converted into two benches robust optimization mould
Type, and the two benches Robust Optimization Model is solved, obtain pre- network forming frame in restructuring procedure and can access wind power output scope, tool
Body includes：
The Optimized model is modified, the two benches robust that the pre- network forming frame under acquisition common-mode can access wind-powered electricity generation amount is excellent
Change model；
The two benches Robust Optimization Model is solved using Benders decomposition algorithms, trend verification is met and requires
Accessible wind power output scope；
Wherein, in the two benches Robust Optimization Model, the decision variable of first stage is the wind power plant that pre- network forming frame can access
The maximum and minimum value of output；The decision variable of second stage is the output of the adjustable generating set of output.
5. according to the method for claim 4, it is characterised in that wind-powered electricity generation amount Optimized model can access to the pre- network forming frame and enter
Row amendment, the pre- network forming frame obtained under common-mode can access wind-powered electricity generation amount two benches Robust Optimization Model, specifically include：
Wind-powered electricity generation amount Optimized model is can access using formula (6) to the pre- network forming frame to be modified；
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The pre- network forming frame obtained can access wind-powered electricity generation amount two benches Robust Optimization Model and meet following formula (7)：
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</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>&le;</mo>
<msubsup>
<mi>F</mi>
<mi>l</mi>
<mi>max</mi>
</msubsup>
<mo>,</mo>
<mo>&ForAll;</mo>
<mi>z</mi>
<mo>&Element;</mo>
<mo>&lsqb;</mo>
<mn>0</mn>
<mo>,</mo>
<mn>1</mn>
<mo>&rsqb;</mo>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msubsup>
<mi>p</mi>
<mi>j</mi>
<mrow>
<mi>C</mi>
<mi>C</mi>
<mi>U</mi>
<mo>,</mo>
<mi>d</mi>
<mi>n</mi>
</mrow>
</msubsup>
<mo>&le;</mo>
<msubsup>
<mi>p</mi>
<mi>j</mi>
<mrow>
<mi>C</mi>
<mi>C</mi>
<mi>U</mi>
</mrow>
</msubsup>
<mrow>
<mo>(</mo>
<mi>w</mi>
<mo>)</mo>
</mrow>
<mo>&le;</mo>
<msubsup>
<mi>p</mi>
<mi>j</mi>
<mrow>
<mi>C</mi>
<mi>C</mi>
<mi>U</mi>
<mo>,</mo>
<mi>u</mi>
<mi>p</mi>
</mrow>
</msubsup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msup>
<mi>w</mi>
<mi>min</mi>
</msup>
<mo>&le;</mo>
<msup>
<mi>w</mi>
<mi>L</mi>
</msup>
<mo>&le;</mo>
<msup>
<mi>w</mi>
<mi>U</mi>
</msup>
<mo>&le;</mo>
<msup>
<mi>w</mi>
<mi>max</mi>
</msup>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>.</mo>
</mrow>
6. according to the method described in claim 1-5 any one, it is characterised in that according to the progress wind turbine access electric power
The pre- structure of rack after system, rational pre- network forming frame is generated, is specifically included：
Based on black starting-up unit with fired power generating unit is grid-connected that power system is tentatively recovered, form rack reconfiguration system at initial stage；
The historical data contributed according to wind turbine, obtain the rack reconstruct moment corresponding to wind turbine contribute in real time prediction data；
According to the wind turbine output prediction data and rack at the initial stage reconfiguration system in real time, the pre- structure model of rack is built；
Based on the pre- structure model of the rack, rationally pre- network forming frame is obtained.
7. according to the method for claim 6, it is characterised in that according to the wind turbine output prediction data and institute in real time
Rack reconfiguration system at initial stage is stated, the pre- structure model of rack is built, specifically includes：
The on-load switch state and branch switch state in rack at the initial stage reconfiguration system are obtained, and is formed and has recovered load
Collection, load collection to be restored, branch road collection and branch road collection to be restored are recovered；
Object function is up to the amount of recovery of important load, switching variable, power-balance, Branch Power Flow, generating set contribute,
Phase angle is constraints, establishes the pre- structure model of rack of the load restoration that importance grade is different after Large Scale Wind Farm Integration accesses.
8. according to the method for claim 7, it is characterised in that the pre- structure model of rack meets following formula (1)~public affairs
Formula (4)：
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>L</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>N</mi>
</munderover>
<msub>
<mi>b</mi>
<mi>L</mi>
</msub>
<msub>
<mi>w</mi>
<mi>L</mi>
</msub>
<msub>
<mi>s</mi>
<mrow>
<mi>L</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
</mrow>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<msub>
<mi>s</mi>
<mrow>
<mi>L</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>&Element;</mo>
<mo>{</mo>
<mn>0</mn>
<mo>,</mo>
<mn>1</mn>
<mo>}</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>s</mi>
<mrow>
<mi>L</mi>
<mo>,</mo>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>&le;</mo>
<msub>
<mi>s</mi>
<mrow>
<mi>L</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&alpha;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>&Element;</mo>
<mo>{</mo>
<mn>0</mn>
<mo>,</mo>
<mn>1</mn>
<mo>}</mo>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>&alpha;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
<mo>,</mo>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>&le;</mo>
<msub>
<mi>&alpha;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>G</mi>
</munderover>
<msub>
<mi>P</mi>
<mrow>
<msub>
<mi>G</mi>
<mi>i</mi>
</msub>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>W</mi>
<mi>t</mi>
</mrow>
</msub>
<mo>-</mo>
<munder>
<mi>&Sigma;</mi>
<mrow>
<mi>n</mi>
<mo>:</mo>
<mrow>
<mo>(</mo>
<mi>m</mi>
<mo>,</mo>
<mi>n</mi>
<mo>)</mo>
</mrow>
<mo>&Element;</mo>
<mi>K</mi>
</mrow>
</munder>
<msub>
<mi>P</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
</msub>
<mo>-</mo>
<munder>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>:</mo>
<mrow>
<mo>(</mo>
<mi>n</mi>
<mo>,</mo>
<mi>m</mi>
<mo>)</mo>
</mrow>
<mo>&Element;</mo>
<mi>K</mi>
</mrow>
</munder>
<msub>
<mi>P</mi>
<mrow>
<mi>n</mi>
<mi>m</mi>
</mrow>
</msub>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>L</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>N</mi>
</munderover>
<msub>
<mi>b</mi>
<mi>L</mi>
</msub>
<msub>
<mi>s</mi>
<mrow>
<mi>L</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
</mrow>
<mrow>
<mo>(</mo>
<mn>4</mn>
<mo>)</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&alpha;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<msubsup>
<mi>P</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
<mi>min</mi>
</msubsup>
<mo>&le;</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<msub>
<mi>&alpha;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<msubsup>
<mi>P</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
<mi>max</mi>
</msubsup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<mn>2</mn>
<mover>
<mi>&theta;</mi>
<mo>&OverBar;</mo>
</mover>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>&alpha;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>&le;</mo>
<msub>
<mi>&theta;</mi>
<mrow>
<mi>m</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&theta;</mi>
<mrow>
<mi>n</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>x</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<msubsup>
<mi>P</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
</mrow>
<mi>t</mi>
</msubsup>
<mo>&le;</mo>
<mn>2</mn>
<mover>
<mi>&theta;</mi>
<mo>&OverBar;</mo>
</mover>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>&alpha;</mi>
<mrow>
<mi>m</mi>
<mi>n</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
Wherein, in above-mentioned formula (1)~formula (4)：L is that the load in power system goes out line number；N is to own in power system
Load outlet sum in bus nodes；bLFor load outlet L institutes on-load amount；wLFor load outlet L importance level；sL,tIt is negative
Lotus switch cut-offs state in the t periods；
αmn,tBranch switch between power system median generatrix node m and bus nodes n cut-offs state in the t periods；sL,tWith
αmn,tRepresent to switch off to belong to 0-1 state variable, 0,1 represents switch closure；sL,t-1And αmn,t-1Represented upper period t-
1 on-load switch and the beginning state of branch switch, and the switch of closure of upper period t-1 can not be disconnected in this period t；
PGi,tRepresent that t periods fired power generating unit is contributed；PWtRepresent that t periods wind turbine is contributed, PmnRepresent bus nodes m and bus nodes
In branch road between n, bus nodes n trend power is flowed into；PnmRepresent in the branch road between bus nodes m and bus nodes n,
Flow out bus nodes m trend power；G is total number of units of fired power generating unit；W is total number of units of Wind turbines, and K is branch road collection；
The upper limit of the trend power flowed through in branch road between bus nodes m and bus nodes n；For bus nodes
The lower limit of the trend power flowed through in branch road between m and bus nodes n；For t period bus nodes m and bus nodes n it
Between branch road 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 road between bus nodes m and bus nodes n.
9. according to the method for claim 8, it is characterised in that it is described to be based on the pre- structure model of the rack, obtain rationally pre-
Network forming frame, is specifically included：
Using default mathematical programming model, based on the pre- structure model of the rack, the switching variable value of branch road and load is carried out
Solve, obtain multigroup solution of the switching variable of branch road and load；In described road and multigroup solution of the switching variable of load, including
Optimal solution and suboptimal solution；
Using the optimal solution of the branch road tried to achieve and the switching variable of load as preliminary pre- network forming frame, and circulate and perform following processes,
Until the result convergence of trend verification, the convergent preliminary pre- network forming frame of result that trend is verified is as the rationally pre- network forming
Frame：
The moment is reconstructed in each rack, is built with the recovery time most short optimal load flow model for optimization aim, and be based on institute
State 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 switching variable of obtained branch road and load will be solved as most
Excellent solution, as the preliminary pre- network forming frame.
10. a kind of pre- network forming frame can access wind power output optimization device, it is characterised in that including：
The pre- structure module of rack, the rack reconstruct accessed for carrying out wind turbine after power system, generates rational pre- network forming frame；
Model construction module, it is adjustable for the fluctuation based on the pre- medium-and-large-sized output of wind electric field of network forming frame and grid-connected output
Generating set adjustment extreme value, build the Optimized model that pre- network forming frame can access wind-powered electricity generation amount；
Computing module, for the Optimized model to be converted into two benches Robust Optimization Model, and it is excellent to the two benches robust
Change model solution, obtain pre- network forming frame in rack restructuring procedure and can access wind power output scope.
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