CN109672223A - A kind of probabilistic electric system back bone network recovery scheme of consideration output of wind electric field - Google Patents
A kind of probabilistic electric system back bone network recovery scheme of consideration output of wind electric field Download PDFInfo
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- CN109672223A CN109672223A CN201710950765.5A CN201710950765A CN109672223A CN 109672223 A CN109672223 A CN 109672223A CN 201710950765 A CN201710950765 A CN 201710950765A CN 109672223 A CN109672223 A CN 109672223A
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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
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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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Abstract
The present invention provides a kind of probabilistic electric system back bone network recovery scheme of consideration output of wind electric field, method includes the following steps: I, building power system network topological model；II, building output of wind electric field uncertainty models；III, building rack revert to power index；IV, the probabilistic rack reconstruct mathematical model of consideration output of wind electric field is established；V, using discrete particle cluster algorithm and stochastic simulation technology solving model.Wind power plant limit power output strategy proposed in this paper can sufficiently excavate the recovery potential for the system of having been turned on and wind power plant starts fireballing feature, rack reverts to the risk embodiment that power reflects output of wind electric field uncertainty to rack recovery process, and final result can significantly shorten rack recovery time while successfully managing wind power output uncertainty.Recovery policy proposed in this paper has certain guidance meaning for the formulation of the power system recovery scheme containing abundant new energy area, has a good application prospect.
Description
Technical field
The present invention relates to power system blackstart fields, specifically, being that a kind of consideration output of wind electric field is probabilistic
The method of electric system parallel recovery back bone network reconstruct.
Background technique
As the continuous development of power grid is built, power grid scale constantly expands, and power supply and load type are increasing, power grid
Operating status also becomes increasingly complex changeable, and electric system is also increasing by the probability of massive blackout.For extensive electricity
For net, to reduce the loss after having a power failure on a large scale as far as possible, accelerates system and restore progress, need rational power grid"black-start" in advance
Rack reconfiguration scheme.
Summary of the invention
The purpose of the present invention is being continuously increased for power grid new energy permeability, i.e. new energy power grid scale and appearance
Amount is continuously increased, and proposes a kind of probabilistic rack reconstruct recovery scheme of consideration new energy power output, and the program fully considers
Wind power plant startup power is small, the fireballing feature of starting, considers all kinds of security constraints under the premise of, using wind power plant limit power output
Strategy and parallel recovery plan restore total time as optimization aim to maximize rack and revert to power and minimize rack, build
The probabilistic rack reconstruct Restoration model of consideration output of wind electric field is found, using stochastic simulation technology and discrete particle cluster algorithm
Obtain the optimal recovery sequence of node and optimal restoration path.
In order to achieve the above object, the technical solution adopted by the present invention is that:
A kind of probabilistic electric system back bone network recovery scheme of consideration output of wind electric field, the method construct first
Power system network topological model obtains route and power supply node parameter, then counts output of wind electric field historical forecast error letter
Breath obtains wind power plant under different wind speed and predicts error distribution character, predicts to go out to describe wind power plant in conjunction with wind power One-Point-Value
Power is uncertain, obtains output of wind electric field uncertainty models；Rack is defined simultaneously and reverts to power index, and wind power plant participates in
When rack reconstructs, it is necessary to short-term forecast is carried out to the following output of wind electric field, due to predicting the presence of error, when actually power output is small
When predicting power output, fired power generating unit starting failure or important load may be caused due to the startup power deficiency that wind power plant provides
Power delivery termination, and then rack restructuring procedure is influenced, therefore restoring it is recognized herein that unit and important load all ought be activated
When successfully obtaining abundant startup power in journey and meeting all kinds of security constraints, it is believed that be successfully recovered, otherwise it is assumed that restoring failure.
It is the important indicator for reflecting rack reconstruct safety that rack, which reverts to power, while being also that output of wind electric field uncertainty is extensive to rack
The risk of multiple process embodies.On this basis, power is reverted to node to establish at random not less than the premise of certain confidence level
Dependent-chance objective programming model model reverts to power and minimum rack recovery time as optimization aim to maximize rack, adopts
It is suitable to obtain the optimal recovery of node for the integrated intelligent algorithm solving model formed with discrete particle cluster algorithm and stochastic simulation technology
The rack reconfiguration scheme on sequence, optimal restoration path, wind power plant optimal access opportunity and optimal access amount.It is reconstructed compared to traditional rack
Recovery scheme, recovery policy proposed in this paper can sufficiently excavate the recovery potential for the system of having been turned on, wind power plant made full use of to open
Fireballing feature is moved, can significantly shorten rack recovery time while successfully managing wind power output uncertainty.Herein
The recovery policy of proposition has certain guidance meaning for the formulation of the power system recovery scheme containing abundant new energy area, has
There is good application prospect.
A kind of probabilistic electric system back bone network recovery scheme of consideration output of wind electric field, the method includes following
Step:
Step 1: building power system network topological model obtains route and node parameter, and obtain wind-powered electricity generation field prediction
Force information and history power output prediction error information；
Step 2: building output of wind electric field uncertainty models obtain wind-powered electricity generation by counting to historical forecast control information
Field day part predicts model of error estimate, and prediction model of error estimate combination wind power plant prediction force information obtains output of wind electric field
Uncertainty models are constrained by the two o'clock to wind power plant as startup power supply, determine wind power plant startup power access strategy；
Step 3: building rack reverts to power index, due to predicting the presence of error, predicts when actually contributing to be less than
When power, fired power generating unit starting failure or important load power supply may be caused due to the startup power deficiency that wind power plant provides eventually
Only, and then rack restructuring procedure is influenced.Therefore rack is defined herein revert to power index, when all units and important of being activated
When load successfully obtains abundant startup power in recovery process and meets all kinds of security constraints, it is believed that be successfully recovered, otherwise
Think to restore failure；
Step 4: according to network topology, establishing and consider that the probabilistic rack of output of wind electric field reconstructs mathematical model, i.e. net
Frame reverts to power highest, rack restores total time minimum；
Step 5: since black starting-up power supply, being successively reconstructed according to specified recovery sequence；If node to be restored with
When band electrical nodes are non-conterminous, find band electrical nodes and most short weight structure path recently using dijkstra's algorithm, successively to node and
Line charging, until specified node full recovery is completed；
Step 6: starting considers that the probabilistic rack of new energy power output restores prediction scheme, electric using hydroelectric power plant as black starting-up
Wind-powered electricity generation node and thermoelectricity node are restored using parallel recovery plan, finally under the premise of meeting all kinds of security constraints in source
Target net is formed, is ready for next step load restoration.
As further describing, step 3 determines that rack is extensive when building rack reverts to power index according to the following formula
Multiple success rate size,
In formula: PwPower is reverted to for rack；For the output of wind electric field predicted value changed over time, Δ PW, tFor prediction
Error；PGiFor startup power needed for being activated unit i, PDjTo restore power needed for important load j；TSiStart to start for unit i
At the time of, TQiAt the time of for unit i start completion, TKjAt the time of starting to restore for load j, TZjIt is that load j is supplied for other power supplys
At the time of electric；NGFor the unit node set started by wind power plant, NDFor the load bus set powered by wind power plant.
Certain constraint condition should also be met in rack reconstruct searching process, be specifically expressed as follows:
(1) startup power constrains
Can smoothly it start to guarantee to be activated unit after its power transmission path is restored, it is desirable that be activated unit and starting
Cheng Zhong, required power are no more than the available startup power of system.Constraint condition is as follows:
T(PGi≤P)≥TKi+TRi i∈φG
In formula: PGiFor startup power needed for being activated unit i；P is the startup power that recovery system is capable of providing；TKi
And TRiSee Fig. 2；φGUnit set is activated to be all.
(2) start time-constrain
In fired power generating unit starting, there are maximum crash time limitation and minimum critical time restriction[17].The maximum crash time
Refer to that the maximum time for allowing unit to carry out thermal starting limits, within this time, unit can carry out thermal starting, be more than this
Time can only be cold-started.The minimum critical time refers to when unit misses the chance of thermal starting, that is, has exceeded maximum critical
Between, unit needs, which wait for a period of time, just can be carried out cold start-up, this time, that is, unit minimum critical time.
0 < TSi≤TCH, i||TSi≥TCC, i i∈φG
In formula, TSiAt the time of obtaining startup power for generating set；TCH, iWhen can be critical with the maximum of thermal starting for unit
Between；TCC, iFor the minimum critical time being cold-started.
(3) idle constraint and generator self-excitation magnetic confinement
It may result in lasting power-frequency overvoltage when carrying out unloaded charging to the restoration path for being activated unit, while
It is easy to appear self-excitation problem when starting fired power generating unit band idle load long line, idle constraint and generator self-excitation constraint condition are such as
Under:
In formula, nLFor the number of lines in parallel recovery path；QLjFor line charging reactive power；QBr, maxTo have been turned on machine
Group reactive absorption amount, for conventional rack, reactive absorption amount is that its is idle into compatible amount, for wind power plant, reactive absorption amount
It is idle into compatible amount and Reactive Compensation in Wind Farm device absorption inductive reactive power capacity including blower；K1For coefficient of reliability；KCBr?
Start the short-circuit ratio of unit r；SBrFor rated capacity, nBTo provide the power generation node set of startup power.
(4) transient security constrains
When being activated the large-scale subsidiary engine starting of unit, system frequency decline and transient voltage dip will lead to, it can when serious
It can cause frequency unstability and Voltage Instability, rack is caused to restore failure.When conventional rack starts thermal motor as startup power supply
When group, judges whether to meet transient voltage security constraint and frequency constraint herein using document [19] model method, work as wind power plant
As startup power supply start fired power generating unit when, it is recognized herein that wind power plant can by improve itself Vf control strategy quickly adjust it is active
Idle power output maintains system frequency and voltage stabilization[6]。
(5) other are constrained
Other constraints predominantly system load flow constraint and unit starting time-constrain, as follows.
In formula: NG、NLAnd NBIt respectively indicates and has restored unit, route and bus set；WithIndicate that generator g has
Function power output bound,WithIndicate the idle power output bound of generator g；WithRespectively indicate route l active reactive
The upper limit；WithIndicate bus i voltage bound；TSiAt the time of obtaining startup power for unit i；TCH, iIt can be with for unit i
The maximum crash time of thermal starting；TCC, iThe minimum critical time being cold-started for unit i；φGFor unit set to be restored.
Detailed description of the invention
Fig. 1 are as follows: wind power prediction figure of the embodiment of the present invention.
Fig. 2 are as follows: electric network composition topological diagram of the embodiment of the present invention.
Fig. 3 are as follows: flow chart of the embodiment of the present invention.
Fig. 4 are as follows: recovery of embodiment of the present invention sequence and target net figure.
Specific embodiment
Technical solution of the present invention is described in further detail below by drawings and examples.
As shown in figure 3, a kind of probabilistic electric system back bone network of consideration output of wind electric field of the present invention is extensive
Compound case, includes the following steps:
Step 1: building power system network topological model, as shown in Figure 3；Route and power parameter are obtained, and is obtained
The start-up parameter of fired power generating unit, as shown in the table.
The start-up parameter of fired power generating unit
Step 2: building output of wind electric field uncertainty models obtain wind-powered electricity generation by counting to historical forecast control information
Field day part predicts model of error estimate, and prediction model of error estimate combination wind power plant prediction force information obtains output of wind electric field
Uncertainty models are constrained by the two o'clock to wind power plant as startup power supply, determine wind power plant startup power access strategy；
Step 3: building rack reverts to power index, due to predicting the presence of error, predicts when actually contributing to be less than
When power, fired power generating unit starting failure or important load power supply may be caused due to the startup power deficiency that wind power plant provides eventually
Only, and then rack restructuring procedure is influenced.Therefore rack is defined herein revert to power index, when all units and important of being activated
When load successfully obtains abundant startup power in recovery process and meets all kinds of security constraints, it is believed that be successfully recovered, otherwise
Think to restore failure；
Step 4: according to network topology, establishing and consider that the probabilistic rack of output of wind electric field reconstructs mathematical model, i.e. net
Frame reverts to power highest, rack restores total time minimum；
Step 5: since black starting-up power supply, being successively reconstructed according to specified recovery sequence；If node to be restored with
When band electrical nodes are non-conterminous, find band electrical nodes and most short weight structure path recently using dijkstra's algorithm, successively to node and
Line charging, until specified node full recovery is completed, flow chart is as shown in Figure 3；
Step 6: starting considers that the probabilistic rack of new energy power output restores prediction scheme, electric using hydroelectric power plant as black starting-up
Wind-powered electricity generation node and thermoelectricity node are restored using parallel recovery plan, finally under the premise of meeting all kinds of security constraints in source
Target net is formed, is ready for next step load restoration.As shown in Figure 4.
Node recovery sequence is determined according to mentioned reconstruction strategy, and reconstruction result is as shown in figure 4, branch Intermediate Gray frame number
Represent the electric sequence number of the branch.
Restoration result compares under different reset modes
As seen from the above table, the rack reconstruct parallel recovery total time under wind power plant participates in is minimum, is 300.15min, calm
The rack reconstruct parallel recovery total time that electric field participates in is secondly, be 357.46min, the rack reconstruct under no wind power plant participates in is serial
Restore total time maximum, is 635.55min (see annex), from the above, it can be seen that: parallel recovery plan is used, recovery time can be reduced
278.09min, while participating in recovery policy using parallel recovery and wind power plant limit power output and can reduce recovery time 335.4min.Just
For recovery time shortens effect, while using the rack recovery time of parallel recovery and wind power plant limit power output participation recovery policy
Minimum, recovery effects are optimal, this is because build down low efficiency, recovery time is long, and it is big that recovery time can shorten space, use
The rack reconfiguration scheme that parallel recovery and wind power plant participate in restoring can make full use of unit starting ability, restore more efficient.Phase
Recovery time can be made to shorten 53.6% for build down, while using parallel recovery and wind power plant limit power output recovery policy.
Claims (7)
1. a kind of probabilistic rack reconstruct restoration methods of consideration output of wind electric field are it is characterized by: the method includes following
Step:
I, power system network topological model is constructed, route and node parameter are obtained, and obtains wind power plant prediction force information
With history power output prediction error information；
II, building output of wind electric field uncertainty models obtain wind power plant day part by counting to historical forecast control information
Predict model of error estimate, prediction model of error estimate combination wind power plant prediction force information obtains output of wind electric field uncertainty
Model is constrained by the two o'clock to wind power plant as startup power supply, determines wind power plant startup power access strategy；
III, building rack revert to power index,, can when actually power output is less than prediction power output due to predicting the presence of error
It can lead to fired power generating unit starting failure or important load power delivery termination, Jin Erying due to the startup power deficiency that wind power plant provides
Ring rack restructuring procedure.Therefore defining rack herein reverts to power index, when all units and important load of being activated are extensive
When successfully obtaining abundant startup power during multiple and meet all kinds of security constraints, it is believed that be successfully recovered, otherwise it is assumed that restoring
Failure；
IV, according to network topology, establish and consider that the probabilistic rack of output of wind electric field reconstructs mathematical model, is i.e. rack reverts to
Power highest, rack restore total time minimum；
V, it since black starting-up power supply, is successively reconstructed according to specified recovery sequence；If node to be restored and band electrical nodes
When non-conterminous, band electrical nodes and most short weight structure path recently is found using dijkstra's algorithm, successively to node and line charging,
Until specified node full recovery is completed；
VI, starting consider that the probabilistic rack of new energy power output is restored prediction scheme and met using hydroelectric power plant as black starting-up power supply
Under the premise of all kinds of security constraints, wind-powered electricity generation node and thermoelectricity node are restored using parallel recovery plan, ultimately form target
Rack is ready for next step load restoration.
2. being based on a kind of consideration output of wind electric field described in claim 1 probabilistic electric system back bone network recovery side
Case, it is characterised in that: consideration electric power system power source and line parameter circuit value described in step I are more nearly with actual electric network.
3. being based on a kind of consideration output of wind electric field described in claim 1 probabilistic electric system back bone network recovery side
Case, it is characterised in that: output of wind electric field uncertainty models described in step II, it is contemplated that practical wind-powered electricity generation field prediction error is deposited
, by the statistics to wind power plant historical forecast control information, the prediction error distribution character under its different wind speed is obtained, in conjunction with
The prediction of wind power plant One-Point-Value can sufficiently reflect output of wind electric field uncertainty, be more nearly with actual electric network situation.
4. being based on a kind of consideration output of wind electric field described in claim 1 probabilistic electric system back bone network recovery side
Case, it is characterised in that: power is reverted to rack based on random theory described in step III and is defined and analyzes, establishes phase
The rack answered reverts to power index, which sufficiently reflects the safety of rack reconstruct, while also embodying wind power plant and going out
Power uncertainty is on the risk of rack recovery process and influence.
5. being based on a kind of consideration output of wind electric field described in claim 1 probabilistic electric system back bone network recovery side
Case, it is characterised in that: objective function described in step IV includes that rack reverts to power highest, rack restores total time minimum.
6. being based on a kind of consideration output of wind electric field described in claim 1 probabilistic electric system back bone network recovery side
Case, it is characterised in that: reconstructing method described in step V can restore power supply node and most plant stands in bulk transmission grid as early as possible,
Be conducive to raising system and restore efficiency.
7. being based on a kind of consideration output of wind electric field described in claim 1 probabilistic electric system back bone network recovery side
Case, it is characterised in that: the probabilistic rack of the power output of consideration new energy described in step VI restores prediction scheme, using discrete particle cluster
The optimal recovery sequence of algorithm calculate node and optimal restoration path, realize wind power plant node and thermoelectricity nodes coordinating is restored, and have
Conducive to the advantage for giving full play to wind power plant quick start and offer startup power.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110889779A (en) * | 2019-12-03 | 2020-03-17 | 华北电力大学（保定） | Typical scene model construction method and unit recovery method for multi-wind-farm output |
| CN112271727A (en) * | 2020-10-15 | 2021-01-26 | 北京交通大学 | Fault recovery method for flexible power distribution network containing flexible soft switch |
-
2017
- 2017-10-13 CN CN201710950765.5A patent/CN109672223A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110889779A (en) * | 2019-12-03 | 2020-03-17 | 华北电力大学（保定） | Typical scene model construction method and unit recovery method for multi-wind-farm output |
| CN110889779B (en) * | 2019-12-03 | 2022-10-21 | 华北电力大学（保定） | Typical scene model construction method and unit recovery method for multi-wind-farm output |
| CN112271727A (en) * | 2020-10-15 | 2021-01-26 | 北京交通大学 | Fault recovery method for flexible power distribution network containing flexible soft switch |
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