CN108110793B - The safety margin analysis method and system of wind-powered electricity generation participation black starting-up - Google Patents
The safety margin analysis method and system of wind-powered electricity generation participation black starting-up Download PDFInfo
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Abstract
The present invention provides safety margin analysis methods and system that wind-powered electricity generation participates in black starting-up, are related to power system security defence and restore control technology field, according to the simulation collection of the history wind power output data acquisition future wind power output sequence of wind power plant；Simulation is collected according to wind regime severe degree and carries out wind regime division, obtains multiple analogue subsets, and calculates the wind regime probability distribution column of multiple analogue subsets；The power system security margin value of each analogue subset is calculated separately, and is arranged according to the probability distribution that power system security margin value and wind regime probability distribution arrange to obtain safety margin.The present invention can instruct wind-powered electricity generation safety, participate in black starting-up in an orderly manner, and then mitigate bring loss of having a power failure on a large scale.
Description
Technical field
The present invention relates to power system security defence to participate in black starting-up with recovery control technology field more particularly to wind-powered electricity generation
Safety margin analysis method and system.
Background technique
By 2017, large-scale blackout of the 21 century loss more than ten million dollar had been over 20.In order to
Have a power failure on a large scale generation after quickly, restore electric system in an orderly manner, work out reasonable, reliable black-start scheme in advance and necessitate.Wind
Electricity have the advantages that startup power it is small, starting it is fireballing, with the continuous improvement of wind-powered electricity generation permeability, wind-powered electricity generation participation black starting-up must
The property wanted also gradually increases, especially will significantly if wind-powered electricity generation can smoothly participate in black starting-up in some areas for lacking water power
Accelerate black starting-up process.
Existing wind-powered electricity generation participates in black starting-up relation technological researching, by way of improving control strategy, transformation hardware facility,
Wind turbines have been made to have certain low voltage ride-through capability, voltage regulation capability as conventional hydropower, fired power generating unit
With frequency response ability；And the feasibility and value that wind-powered electricity generation participates in black starting-up are demonstrated by Digital Simulation and field test, it mentions
Points for attention and method and step that wind-powered electricity generation participates in black starting-up are gone out.However, existing method lays particular emphasis on the black starting-up for maximizing wind-powered electricity generation
Value, accesses wind-powered electricity generation as much as possible in safe operation of power system restrict, does not consider wind-electricity integration to black starting-up mistake
The safety of system has anything specifically to influence in journey, does not analyze the safety margin of system after wind-electricity integration especially, cannot
Guarantee wind-powered electricity generation safety, participate in black starting-up in an orderly manner, so that bring loss of having a power failure on a large scale is very huge.
Summary of the invention
In view of this, the purpose of the present invention is to provide safety margin analysis method and system that wind-powered electricity generation participates in black starting-up,
It can instruct wind-powered electricity generation safety, participate in black starting-up in an orderly manner, and then mitigate bring loss of having a power failure on a large scale.
In a first aspect, the embodiment of the invention provides the safety margin analysis methods that a kind of wind-powered electricity generation participates in black starting-up, comprising:
According to the simulation collection of the history wind power output data acquisition future wind power output sequence of wind power plant；
The simulation is collected according to wind regime severe degree and carries out wind regime division, obtains multiple analogue subsets, and calculate multiple
The wind regime probability distribution of the analogue subset arranges；
The power system security margin value of each analogue subset is calculated separately, and abundant according to the power system security
Angle value and the wind regime probability distribution arrange to obtain the probability distribution column of safety margin.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein institute
Stating history wind power output data includes the practical wind power output data of history and historical forecast wind power output data, described according to wind-powered electricity generation
The simulation collection of the history wind power output data acquisition future wind power output sequence of field, comprising:
It is obtained in prediction error according to the practical wind power output data of the history of wind power plant and historical forecast wind power output data
Limit；
Multiple similar power output sequences of the following wind power output sequence are selected from the practical wind power output data of the history
Column, wherein the similar power output sequence includes being less than the prediction error upper limit with the difference of the following wind power output sequence
The practical power output sequence of history；
Multiple similar power output sequences are formed to the simulation collection of the following wind power output sequence.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein institute
Stating history wind power output data includes the practical wind power output data of history, it is described according to the severe degree of wind regime to it is described simulation collect into
Row wind regime divides, and obtains multiple analogue subsets, and calculates the wind regime probability distribution column of multiple analogue subsets, comprising:
According to the practical wind power output data of the history of wind power plant, obtains the corresponding maximum wind of different wind regime and go out Reeb
Dynamic value range, wherein different wind regime correspond to different wind power output sequences；
Undulating value range is contributed to simulation collection progress wind regime division according to the maximum wind, obtains multiple moulds
Quasi- subset, and calculate the wind regime probability distribution column of multiple analogue subsets.
The possible embodiment of second with reference to first aspect, the embodiment of the invention provides the third of first aspect
Possible embodiment, wherein the power system security margin value for calculating separately each analogue subset, comprising:
Calculate the corresponding power train of boundary value of the corresponding maximum wind power output undulating value range of each analogue subset
System safety margin value, obtains the power system security margin value of each analogue subset.
The third possible embodiment with reference to first aspect, the embodiment of the invention provides the 4th kind of first aspect
Possible embodiment, wherein the side for calculating the corresponding maximum wind power output undulating value range of each analogue subset
The corresponding power system security margin value of dividing value, obtains the power system security margin value of each analogue subset, comprising:
Wind is established according to wind power output sequence corresponding to the boundary value of each maximum wind power output undulating value range
Fast model, wherein the analogue subset includes the wind power output sequence；
The power system security margin value that the analogue subset is calculated according to the Wind speed model obtains each simulation
The power system security margin value of subset.
The 4th kind of possible embodiment with reference to first aspect, the embodiment of the invention provides the 5th kind of first aspect
Possible embodiment, wherein the wind according to corresponding to the boundary value of each maximum wind power output undulating value range
Electricity power output sequence establishes Wind speed model, comprising:
Fluctuation is selected most in wind power output sequence corresponding to boundary value from maximum wind power output undulating value range
Big wind speed；
The Wind speed model is established according to the maximum wind speed of fluctuation.
The third possible embodiment with reference to first aspect, the embodiment of the invention provides the 6th kind of first aspect
Possible embodiment, wherein the power system security margin value includes peak regulation nargin, line transmission power margin, throws and bear
Charged pressure and frequency security margin, small interference stability nargin, single wink angle stability nargin, single transient voltage and frequency shift (FS) are acceptable
Property nargin.
Second aspect, the embodiment of the present invention also provide a kind of safety margin analysis system of wind-powered electricity generation participation black starting-up, comprising:
Simulation collection obtains module, for according to the history wind power output data acquisition future wind power output sequence of wind power plant
Simulation collection；
Wind regime probability evaluation entity carries out wind regime division for collecting according to the severe degree of wind regime to the simulation, obtains more
A analogue subset, and calculate the wind regime probability distribution column of multiple analogue subsets；
Safety margin computing module, for calculating separately the power system security margin value of each analogue subset, and
It is arranged to obtain the probability distribution column of safety margin according to the power system security margin value and the wind regime probability distribution.
In conjunction with second aspect, the embodiment of the invention provides the first possible embodiments of second aspect, wherein institute
Stating simulation collection acquisition module includes:
Error upper limit acquiring unit is predicted, for the practical wind power output data of history and historical forecast wind according to wind power plant
Electricity goes out force data and obtains the prediction error upper limit；
Similar power output retrieval unit, for selecting the following wind-powered electricity generation from the practical wind power output data of the history
The multiple similar power output sequences for sequence of contributing, wherein the similar power output sequence includes and the future wind power output sequence
Difference is less than the practical power output sequence of history of the prediction error upper limit；
Simulation collection acquiring unit, for multiple similar power output sequences to be formed to the mould of the following wind power output sequence
Quasi- collection.
In conjunction with second aspect, the embodiment of the invention provides second of possible embodiments of second aspect, wherein institute
Stating history wind power output data includes the practical wind power output data of history, and the wind regime probability evaluation entity includes:
Maximum wind power output undulating value range acquiring unit, for the practical wind power output number of the history according to wind power plant
According to obtaining the corresponding maximum wind power output undulating value range of different wind regime, wherein different wind regime correspond to different wind power output sequences
Column；
Wind regime probability calculation unit, for contributing undulating value range to simulation collection progress wind according to the maximum wind
Condition divides, and obtains multiple analogue subsets, and calculates the wind regime probability distribution column of multiple analogue subsets.
The embodiment of the present invention bring it is following the utility model has the advantages that
The embodiment of the invention provides safety margin analysis methods and system that wind-powered electricity generation participates in black starting-up, according to wind power plant
The simulation collection of history wind power output data acquisition future wind power output sequence；Simulation is collected according to wind regime severe degree and carries out wind regime
It divides, obtains multiple analogue subsets, and calculate the wind regime probability distribution column of multiple analogue subsets；Calculate separately each analogue subset
Power system security margin value, and arrange to obtain safety margin according to power system security margin value and wind regime probability distribution
Probability distribution column.Wind-powered electricity generation safety can be instructed according to the probability distribution of safety margin column, participates in black starting-up in an orderly manner, and then is mitigated
Bring of having a power failure on a large scale loss.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification, claims
And specifically noted structure is achieved and obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is the safety margin analysis method flow chart that wind-powered electricity generation provided in an embodiment of the present invention participates in black starting-up；
Fig. 2 is the side of the step S101 for the safety margin analysis method that wind-powered electricity generation provided in an embodiment of the present invention participates in black starting-up
Method flow chart；
Fig. 3 is the side of the step S102 for the safety margin analysis method that wind-powered electricity generation provided in an embodiment of the present invention participates in black starting-up
Method flow chart；
Fig. 4 is the safety margin analysis system schematic that wind-powered electricity generation provided in an embodiment of the present invention participates in black starting-up；
Fig. 5 is the safety margin analysis system schematic that another wind-powered electricity generation provided in an embodiment of the present invention participates in black starting-up.
Icon:
10- simulation collection obtains module；20- wind regime probability evaluation entity；30- safety margin computing module；11- predicts error
Upper limit acquiring unit；The similar power output retrieval unit of 12-；13- simulation collection acquiring unit；21- maximum wind power output undulating value
Range acquiring unit；22- wind regime probability calculation unit.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
After power system blackstart refers to that whole system is stopped transport because of failure, the help of other network is not depended on, by system
The starting of unit with self-startup ability drives the unit of non self starting, gradually expands the recovery range of electric system,
Finally realize the recovery of entire electric system.
Currently, existing wind-powered electricity generation participates in black starting-up relation technological researching, do not consider that wind-electricity integration is in the process to black starting-up
The safety of system has anything specifically to influence, and does not analyze the safety margin of system after wind-electricity integration especially, it cannot be guaranteed that wind
Electric safety participates in black starting-up in an orderly manner, so that bring loss of having a power failure on a large scale is very huge.Based on this, the embodiment of the present invention is provided
A kind of wind-powered electricity generation participate in black starting-up safety margin analysis method and system, can instruct wind-powered electricity generation safety, participate in black open in an orderly manner
It is dynamic, and then mitigate bring loss of having a power failure on a large scale.
To participate in black starting-up to a kind of wind-powered electricity generation disclosed in the embodiment of the present invention first convenient for understanding the present embodiment
Safety margin analysis method describe in detail.
Embodiment one:
Fig. 1 shows the safety margin analysis method flow chart that wind-powered electricity generation provided in an embodiment of the present invention participates in black starting-up.
As shown in Figure 1, present embodiments providing a kind of safety margin analysis method of wind-powered electricity generation participation black starting-up, including following
Step:
Step S101, according to the simulation collection of the history wind power output data acquisition future wind power output sequence of wind power plant；
In this step, the following wind power output sequence is the wind power output data in the following certain time that wind power plant reports,
The following wind power output series model based on historical analogy method makes the safety solved for generating random wind power output sequence
Nargin can count and the uncertainty of wind-powered electricity generation.
Step S102 collects simulation according to the severe degree of wind regime and carries out wind regime division, obtains multiple analogue subsets, and calculate
The wind regime probability distribution of multiple analogue subsets arranges；
The present embodiment is using historical analogy method as theoretical basis, using security margin index system as solution amount, with probability distribution
It is classified as the appearance form of result.By flexibly dividing the following wind power output simulation collection, the probability of system safety margin can analyze
Structure.Bigger thinner, the safety margin Probability Structure acquired for indicating to divide of division number m of the following wind power output simulation collection
Finer, when m tends to infinitely great, the probability distribution column of safety margin have translated into probability distribution.
Step S103 calculates separately the power system security margin value of each analogue subset, and according to power system security
Margin value and wind regime probability distribution arrange to obtain the probability distribution column of safety margin.
The probability distribution of random variable of continuous type arranges, and is the popularization of the probability distribution column concept of discrete random variable, uses
In probability of the characterization stochastic variable in certain " care sections ".When the value of certain random variable of continuous type is not easy to detect,
Probability density function is just difficult to seek.For this purpose, indicating that the probability distribution of random variable of continuous type has using probability distribution column
Important meaning.Probability distribution column only show researcher's content of concern, and random change is equally showed rather than probability density function
All values of amount are possible, therefore solution probability distribution is arranged and is easy more than solution probability density function, this just analyzes for us multiple
The probability distribution of miscellaneous random variable of continuous type provides shortcut.
Specifically, history wind power output data include the practical wind power output data of history and historical forecast wind power output number
According to, as shown in Fig. 2, step S101 the following steps are included:
Step S201 is obtained pre- according to the practical wind power output data of the history of wind power plant and historical forecast wind power output data
Survey the error upper limit；
Step S202 selects multiple similar power output sequences of the following wind power output sequence from the practical wind power output data of history
Column, wherein similar power output sequence include be less than with the difference of the following wind power output sequence predict the history of the error upper limit it is practical go out
Power sequence；
Multiple similar power output sequences are formed the simulation collection of the following wind power output sequence by step S203.
Firstly, finding out its power according to the history of certain wind power plant power generation actual power data and historical forecast power data
It predicts the probability distribution that error is obeyed, and then obtains the wind power prediction error upper limit Δ P under certain confidence levelwmax；
Secondly, the sequence P that will contribute with predictionw=(Pw1,Pw2,…,Pwn) difference be less than Δ PwmaxThe practical power output sequence of history
Column are defined as PwThe similar power output sequence of history, from history power generation actual power data in select PwSimilar power output sequence, composition
The similar power output sequence sets of historyIn this, as the simulation collection of the following wind power output sequence.
Further, history wind power output data include the practical wind power output data of history, as shown in figure 3, step S102
The following steps are included:
Step S301 obtains the corresponding maximum wind of different wind regime according to the practical wind power output data of the history of wind power plant
Power output undulating value range, wherein different wind regime correspond to different wind power output sequences；
Step S302 contributes undulating value range to simulation collection progress wind regime division according to maximum wind, obtains multiple simulations
Subset, and calculate the wind regime probability distribution column of multiple analogue subsets.
Specifically, the forming process of the probability distribution column of wind regime superiority-inferiority is as follows:
(1) with the maximum wind power output difference P of wind power plant adjacent minute under rated capacityxTo judge the severe of certain wind regime
Degree divides the corresponding P of excellent, good, bad wind according to the history of certain wind power plant power generation actual power dataxIt is worth range；
(2) according to the corresponding P of excellent, good, bad windxValue range divides Ωw, obtain the following wind regime and belong to excellent, good, bad wind
Probability, and then obtain the probability distribution column of wind regime superiority-inferiority.
Further, the power system security margin value that each analogue subset is calculated separately in step S103, can pass through
Following manner is realized:
Calculate the corresponding electric system peace of boundary value of the corresponding maximum wind power output undulating value range of each analogue subset
Full margin value obtains the power system security margin value of each analogue subset.Specifically includes the following steps:
S1 establishes wind speed according to wind power output sequence corresponding to the boundary value of each maximum wind power output undulating value range
Model, wherein analogue subset includes wind power output sequence；
Wind speed model establishment process are as follows: wind power output sequence corresponding to the boundary value from maximum wind power output undulating value range
The maximum wind speed of fluctuation is selected in column；Wind speed model is established according to maximum wind speed is fluctuated.
S2 obtains the electricity of each analogue subset according to the power system security margin value of Wind speed model calculating simulation subset
Force system safety margin value.
In step S103, solving system obtains safety in the power system security margin value being concerned about at interval border
The probability distribution of nargin arranges.Because of the severe degree and P of wind regimexIt is positively correlated, and it is negatively correlated with safety margin, therefore can be according to wind regime
The probability distribution column that the probability distribution of superiority-inferiority arranges to determine safety margin.According to the corresponding P of excellent, good, bad windxIt is worth the side of range
Dividing value pxi, solve pxiCorresponding systematic electricity system safety margin value msi, and then determined by the probability of excellent, good, bad wind appearance
The probability distribution of safety margin arranges.
Specifically, p is solvedxiCorresponding systematic electricity system safety margin value msiProcess it is as follows:
(1)pxiCorrespond to Ωwi, from ΩwiIn choose the maximum wind regime of fluctuation, then to choose from the wind regime fluctuation most severe
2min wind speed, Wind speed model is established with this；
(2) electric network data file is established according to the current state parameter of system, by the way that route list wink failure is arranged, executed temporary
State stability Calculation seeks Mθ、Mvd、Mfd；It is arranged by black-start scheme and throws load operation, is asked by executing multilayer output feedback network
Take Mp、ML、Mvs、Mfs；M is sought by executing small interference stability calculatingz.Minimum value, that is, system electric power in this 8 nargin
System safety margin value.
In the present embodiment, power system security margin value includes peak regulation nargin, line transmission power margin, throws load voltage
It is abundant with frequency security margin, small interference stability nargin, single wink angle stability nargin, single transient voltage and frequency shift (FS) acceptability
Degree.
Evaluate wind-powered electricity generation participate in black starting-up during security of system margin index system, be each power system security about
It is established on the basis of beam, for reflecting security of system after the black starting-up period accesses certain capacity wind-powered electricity generation.Firstly, index body
The margin definition rule of upper limit constraint and lower limit are set forth using the form of ratios unified definition nargin of " distance/limit value " in system
Then；Secondly, the constraint set for needing to meet when being operated normally according to electric system, defines peak regulation nargin Mp, line transmission power
Nargin ML, throw load voltage safety margin Mvs, throw LOAD FREQUENCY safety margin MfsWith small interference stability nargin MzThis 5 indexs；
Finally, the constraint set for needing to meet when being run according to electric power system fault, defines single wink angle stability nargin Mθ, single transient voltage
Deviate acceptable nargin MvdWith single wink frequency shift (FS) acceptability nargin MfdThis 3 indexs.The wind power integration amount of safety, is answered
When 8 nargin in guarantee safety margin appraisement system are all positive number.
Wherein, the calculation formula of this 8 margin index is as follows:
Table 1 is each margin value and the meaning of each variable in above-mentioned formula (1) and formula (2).
The meaning of each margin value of table 1 and each variable
For convenience of description, this paper uniform variable definition rule: subscript m ax and min indicate the system requirements upper limit of certain variable
Value and lower limit value, subscript max and min indicate maximum value and minimum value of the variable within the period when system operation.
The safety margin analysis method of black starting-up is participated in the wind-powered electricity generation that the present embodiment is described in detail in specific example below.
When one timing of wind power integration capacity, the power system security margin value under set wind regime is a determining value,
Power system security margin value under random wind regime is a random value, needs to describe its Probability Structure with probability distribution column.
With t2Moment is accessed for wind-powered electricity generation, it is assumed that t2The following 30min wind speed and power output that moment wind power plant W18 is reported beWithThen
The process for solving the probability distribution of safety margin is as follows:
(1) force data is gone out according to the history of wind power plant W18 practical force data and historical forecast out, found out in its 30min
The probability distribution that power output prediction error is obeyed, and then obtain the Δ P under certain confidence levelwmax.In view of the emphasis of research, it is assumed that
W18 power output prediction error per unit value Normal Distribution N (0,0.03), a reference value of per unit value are the installed capacity of wind power plant
120MW.Taking confidence level is 0.999, then can acquire Δ PwmaxFor 11.88MW.
(2) according to Δ Pwmax, filtered out from the practical force data out of historyThe similar power output sequence sets of historyIt is first
First with every 30 continuous capacity values be 1 power output sequence, ask history power output sequence withBetween difference；Then with Δ PwmaxFor
Difference upper limit has finally chosen 137 from 132257 history power output sequencesThe similar power output sequence of history, with this group
At
(3) the boundary point p in section is concerned about in settingxi, divideObtain PxProbability distribution column.PxIt is wind power plant specified
The maximum wind power output difference of adjacent minute, weighs solving speed and analysis precision, can take m is 3, boundary point vector under capacity
pxValue it is more flexible, such as take px=[0,12,17,23] can then incite somebody to actionIt is divided into following 3 set:
For convenience of describing and understand, above 3 set are successively referred to as by the present embodiment: excellent wind set, good wind set and bad
Wind set, then being subdivided into the number of this 3 set in the similar power output sequence of 137 history is respectively 64,47,26, therefore
QuiltThe probability covered is respectively 0.47,0.34,0.19.
(4) solving system is in the power system security margin value being concerned about at interval border, and then obtains the general of safety margin
Rate Distribution of A Sequence.With px2Seek ms2For, first fromIn choose worst wind regime (i.e. PxMaximum power output sequence).If the wind
2min fluctuations in wind speed worst to systematic influence is the fluctuations in wind speed between 5.49m/s and 6.65m/s in condition, then is built with this
Vertical Wind speed model, fills in the Wind speed model GV card of GE Wind turbines, and emulation solves each security margin index.If wind power integration capacity
PaFor 60MW, then t can be finally acquired2The safety margin probability distribution column at moment are as shown in table 2.
2 P of tableaWhen=60MW, t2The probability distribution of moment safety margin arranges
Tab.4Probability distribution column of security margin at time
t2while Pa=60MW
As shown in Table 2, after the randomness of meter and wind regime, safety margin has become a probability distribution from a determining value
Column.Thus probability distribution column are it will be clear that the following wind regime belongs to the probability of excellent wind, good wind, bad wind, and in this 3 class wind
Systematic electricity system safety margin value range under condition.Preceding to have addressed, the content that probability distribution column show " is concerned about by what is selected
What section " determined, application is more flexible.
Embodiment two:
Fig. 4 shows the safety margin analysis system schematic that wind-powered electricity generation provided in an embodiment of the present invention participates in black starting-up.
As shown in figure 4, a kind of wind-powered electricity generation provided in this embodiment participates in the safety margin analysis system of black starting-up, including simulation
Collection obtains module 10, wind regime probability evaluation entity 20 and safety margin computing module 30；
Simulation collection obtains module 10, for the history wind power output data acquisition future wind power output sequence according to wind power plant
Simulation collection；
Wind regime probability evaluation entity 20 carries out wind regime division for collecting according to the severe degree of wind regime to simulation, obtains multiple
Analogue subset, and calculate the wind regime probability distribution column of multiple analogue subsets；
Safety margin computing module 30, for calculating separately the power system security margin value of each analogue subset, and root
It arranges to obtain the probability distribution column of safety margin according to power system security margin value and wind regime probability distribution.
Further, as shown in figure 5, simulation collection acquisition module 10 includes:
Error upper limit acquiring unit 11 is predicted, for the practical wind power output data of history and historical forecast according to wind power plant
Wind power output data obtain the prediction error upper limit；
Similar power output retrieval unit 12, for selecting the following wind power output sequence from the practical wind power output data of history
Multiple similar power output sequences of column, wherein similar power output sequence includes being less than prediction with the difference of the following wind power output sequence to miss
The practical power output sequence of the history of the poor upper limit；
Simulation collection acquiring unit 13, for multiple similar power output sequences to be formed to the simulation collection of the following wind power output sequence.
Further, history wind power output data include the practical wind power output data of history, wind regime probability evaluation entity 20
Include:
Maximum wind power output undulating value range acquiring unit 21, for the practical wind power output number of history according to wind power plant
According to obtaining the corresponding maximum wind power output undulating value range of different wind regime, wherein different wind regime correspond to different wind power output sequences
Column；
Wind regime probability calculation unit 22 is drawn for collecting progress wind regime to simulation according to maximum wind power output undulating value range
Point, multiple analogue subsets are obtained, and calculate the wind regime probability distribution column of multiple analogue subsets.
Wind-powered electricity generation provided in an embodiment of the present invention participates in the safety margin analysis system of black starting-up, and provided by the above embodiment
Wind-powered electricity generation participates in the safety margin analysis method technical characteristic having the same of black starting-up, asks so also can solve identical technology
Topic, reaches identical technical effect.
The embodiment of the present invention also provides a kind of electronic equipment, including memory, processor, and being stored in memory can locate
The computer program run on reason device, processor realize that wind-powered electricity generation provided by the above embodiment participates in black open when executing computer program
The step of dynamic safety margin analysis method.
The embodiment of the present invention also provides a kind of computer readable storage medium, and meter is stored on computer readable storage medium
Calculation machine program, the wind-powered electricity generation that above-described embodiment is executed when computer program is run by processor participate in the safety margin analysis of black starting-up
The step of method.
In the description of the present invention, it should be noted that term " first ", " second ", " third " are used for description purposes only,
It is not understood to indicate or imply relative importance.
The computer program that wind-powered electricity generation participates in the safety margin analysis method of black starting-up is carried out provided by the embodiment of the present invention
Product, the computer readable storage medium including storing the executable non-volatile program code of processor, described program generation
The instruction that code includes can be used for executing previous methods method as described in the examples, and specific implementation can be found in embodiment of the method,
This is repeated no more.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.The apparatus embodiments described above are merely exemplary, for example, the division of the unit,
Only a kind of logical function partition, there may be another division manner in actual implementation, in another example, multiple units or components can
To combine or be desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or beg for
The mutual coupling, direct-coupling or communication connection of opinion can be through some communication interfaces, device or unit it is indirect
Coupling or communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in the executable non-volatile computer-readable storage medium of a processor.Based on this understanding, of the invention
Technical solution substantially the part of the part that contributes to existing technology or the technical solution can be with software in other words
The form of product embodies, which is stored in a storage medium, including some instructions use so that
One computer equipment (can be personal computer, server or the network equipment etc.) executes each embodiment institute of the present invention
State all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of program code.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (8)
1. the safety margin analysis method that a kind of wind-powered electricity generation participates in black starting-up characterized by comprising
According to the simulation collection of the history wind power output data acquisition future wind power output sequence of wind power plant；
The simulation is collected according to wind regime severe degree and carries out wind regime division, obtains multiple analogue subsets, and is calculated multiple described
The wind regime probability distribution of analogue subset arranges；
The power system security margin value of each analogue subset is calculated separately, and according to the power system security margin value
And the wind regime probability distribution arranges to obtain the probability distribution column of safety margin；
The history wind power output data include the practical wind power output data of history and historical forecast wind power output data, and described
According to the simulation collection of the history wind power output data acquisition future wind power output sequence of wind power plant, comprising:
The prediction error upper limit is obtained according to the practical wind power output data of the history of wind power plant and historical forecast wind power output data；
Multiple similar power output sequences of the following wind power output sequence are selected from the practical wind power output data of the history,
In, the similar power output sequence includes being less than the history of the prediction error upper limit with the difference of the following wind power output sequence
Practical power output sequence；
Multiple similar power output sequences are formed to the simulation collection of the following wind power output sequence.
2. the safety margin analysis method that wind-powered electricity generation according to claim 1 participates in black starting-up, which is characterized in that the history
Wind power output data include the practical wind power output data of history, described to collect progress wind regime to the simulation according to the severe degree of wind regime
It divides, obtains multiple analogue subsets, and calculate the wind regime probability distribution column of multiple analogue subsets, comprising:
According to the practical wind power output data of the history of wind power plant, the corresponding maximum wind power output undulating value of different wind regime is obtained
Range, wherein different wind regime correspond to different wind power output sequences；
Undulating value range is contributed to simulation collection progress wind regime division according to the maximum wind, obtains multiple analog submodules
Collection, and calculate the wind regime probability distribution column of multiple analogue subsets.
3. the safety margin analysis method that wind-powered electricity generation according to claim 2 participates in black starting-up, which is characterized in that the difference
Calculate the power system security margin value of each analogue subset, comprising:
Calculate the corresponding electric system peace of boundary value of the corresponding maximum wind power output undulating value range of each analogue subset
Full margin value obtains the power system security margin value of each analogue subset.
4. the safety margin analysis method that wind-powered electricity generation according to claim 3 participates in black starting-up, which is characterized in that the calculating
The corresponding power system security margin value of boundary value of the corresponding maximum wind power output undulating value range of each analogue subset,
Obtain the power system security margin value of each analogue subset, comprising:
Wind speed mould is established according to wind power output sequence corresponding to the boundary value of each maximum wind power output undulating value range
Type, wherein the analogue subset includes the wind power output sequence；
The power system security margin value that the analogue subset is calculated according to the Wind speed model obtains each analogue subset
Power system security margin value.
5. the safety margin analysis method that wind-powered electricity generation according to claim 4 participates in black starting-up, which is characterized in that the basis
Wind power output sequence corresponding to the boundary value of each maximum wind power output undulating value range establishes Wind speed model, comprising:
It is maximum that fluctuation is selected in wind power output sequence corresponding to boundary value from maximum wind power output undulating value range
Wind speed；
The Wind speed model is established according to the maximum wind speed of fluctuation.
6. the safety margin analysis method that wind-powered electricity generation according to claim 3 participates in black starting-up, which is characterized in that the electric power
System safety margin value includes peak regulation nargin, line transmission power margin, throws load voltage and frequency security margin, small interference surely
Determine nargin, single wink angle stability nargin, single transient voltage and frequency shift (FS) acceptability nargin.
7. the safety margin analysis system that a kind of wind-powered electricity generation participates in black starting-up characterized by comprising
Simulation collection obtains module, for the simulation according to the history wind power output data acquisition future wind power output sequence of wind power plant
Collection；
Wind regime probability evaluation entity carries out wind regime division for collecting according to the severe degree of wind regime to the simulation, obtains multiple moulds
Quasi- subset, and calculate the wind regime probability distribution column of multiple analogue subsets；
Safety margin computing module, for calculating separately the power system security margin value of each analogue subset, and according to
The power system security margin value and the wind regime probability distribution arrange to obtain the probability distribution column of safety margin；
The simulation collection obtains module and includes:
Predict error upper limit acquiring unit, for according to wind power plant the practical wind power output data of history and historical forecast wind-powered electricity generation go out
Force data obtains the prediction error upper limit；
Similar power output retrieval unit, for selecting the following wind power output from the practical wind power output data of the history
Multiple similar power output sequences of sequence, wherein the similar power output sequence includes the difference with the following wind power output sequence
Less than the practical power output sequence of history of the prediction error upper limit；
Simulation collection acquiring unit, for multiple similar power output sequences to be formed to the simulation of the following wind power output sequence
Collection.
8. the safety margin analysis system that wind-powered electricity generation according to claim 7 participates in black starting-up, which is characterized in that the history
Wind power output data include the practical wind power output data of history, and the wind regime probability evaluation entity includes:
Maximum wind is contributed undulating value range acquiring unit, for the practical wind power output data of the history according to wind power plant,
Obtain the corresponding maximum wind power output undulating value range of different wind regime, wherein different wind regime correspond to different wind power output sequences；
Wind regime probability calculation unit, for contributing undulating value range to simulation collection progress wind regime stroke according to the maximum wind
Point, multiple analogue subsets are obtained, and calculate the wind regime probability distribution column of multiple analogue subsets.
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