CN109066772A - Wind-powered electricity generation climbing rate stabilizes methods, devices and systems - Google Patents
Wind-powered electricity generation climbing rate stabilizes methods, devices and systems Download PDFInfo
- Publication number
- CN109066772A CN109066772A CN201810862050.9A CN201810862050A CN109066772A CN 109066772 A CN109066772 A CN 109066772A CN 201810862050 A CN201810862050 A CN 201810862050A CN 109066772 A CN109066772 A CN 109066772A
- Authority
- CN
- China
- Prior art keywords
- power
- wind
- sequence
- fmr
- smooth output
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 76
- 230000009194 climbing Effects 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 88
- 238000001914 filtration Methods 0.000 claims abstract description 67
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 claims description 35
- 229910001416 lithium ion Inorganic materials 0.000 claims description 35
- 230000000087 stabilizing effect Effects 0.000 claims description 33
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims description 14
- 229910052744 lithium Inorganic materials 0.000 claims description 14
- 230000015572 biosynthetic process Effects 0.000 claims description 13
- 238000003786 synthesis reaction Methods 0.000 claims description 13
- 239000003990 capacitor Substances 0.000 claims description 4
- 238000004146 energy storage Methods 0.000 description 26
- 238000004364 calculation method Methods 0.000 description 23
- 238000011161 development Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000004590 computer program Methods 0.000 description 3
- 230000036961 partial effect Effects 0.000 description 3
- 230000002829 reductive effect Effects 0.000 description 3
- 230000002457 bidirectional effect Effects 0.000 description 2
- 238000007664 blowing Methods 0.000 description 2
- 238000007667 floating Methods 0.000 description 2
- 230000000670 limiting effect Effects 0.000 description 2
- 230000035699 permeability Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- BNOODXBBXFZASF-UHFFFAOYSA-N [Na].[S] Chemical compound [Na].[S] BNOODXBBXFZASF-UHFFFAOYSA-N 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000005530 etching Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- H02J3/386—
-
- 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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Control Of Eletrric Generators (AREA)
Abstract
Methods, devices and systems are stabilized the present invention relates to a kind of wind-powered electricity generation climbing rate, wherein method includes: the wind power for obtaining wind power plant output;If current time, which is in, calculates the moment, level-one wavelet filtering is carried out to the wind power, best Decomposition order is obtained, obtains the first smooth output power sequence for meeting FMR;Wherein, it is equipped at intervals with a calculating moment every setting time, remaining period is the non-computational period;If current time is in the non-computational period, the wind power is decomposed to upper one by SWT and calculates the best Decomposition order that the moment obtains, obtains the first smooth output power sequence for meeting FMR;Second level wavelet filtering is carried out to the first smooth output power sequence for meeting FMR of acquisition, obtains the second smooth output power sequence;According to the smooth output power for the wind power that the described second smooth output power retrieval is stabilized.Above-mentioned wind-powered electricity generation climbing rate stabilizes method, and can effectively promote wind-powered electricity generation climbing rate stabilizes efficiency.
Description
Technical field
The present invention relates to wind store up technical field of power generation, more particularly to a kind of wind-powered electricity generation climbing rate stabilize method, apparatus and
System.
Background technique
Wind energy has obtained great-leap-forward development as a kind of clean renewable energy in recent years.Due to the random wave of wind speed
Dynamic property, output electric energy have intermittent and uncertainty, certain impact can be generated to power grid, and difficult problem of surfing the Internet, which becomes, restricts wind
The bottleneck of electricity development.
Because of the feature that energy storage has Dynamic Absorption and releases energy, as a kind of the effective of balance wind power fluctuation
Means are gradually taken seriously.Common energy storage technology mainly has sodium-sulphur battery, flow battery, supercapacitor in electric system
(ultra capacitor, UC) and superconducting energy storage etc..Since wind power plant capacity is big, wind power variation of short period is frequent, long all
Phase amplitude of variation is larger, and single energy storage technology, which has been difficult to meet Multiple Time Scales power, stabilizes demand.Polymorphic type energy-storage system
(hybrid energy storage system, HESS) utilizes energy storage device complementary characteristic, overcomes single energy storage technology
Limitation is one of the trend of the following energy storage technology development.
Time scale is to describe the amount of power swing span size on a timeline, is a fluctuation characteristic parameter.Research
Show that wind power fluctuates the difference in time scale, for electric power quality, system reserve capacity and safety
The influence of the generations such as stable operation is also not quite similar.In consideration of it, grid company is general in wind-electricity integration standard (Grid Code)
Certain threshold value is respectively set in the power swing amplitude (also known as wind-powered electricity generation climbing rate) for being integrated wind plant on different time scales,
Constraint (FMR) index is stabilized to guarantee that the wind power of output meets power swing.
The climbing rate of existing wind power stabilizes method, generally requires and meets the flat of FMR index by the way that operation is determining
Sliding output power, and realized by the control of the charge and discharge electronic compensating of energy storage device and exported according to smooth output power to power grid, with flat
Press down the fluctuation of wind power.However in the prior art, when stabilizing calculating of wind-powered electricity generation climbing rate is being carried out, such as adopted in the prior art
With Mallat algorithm, by low pass being both horizontally and vertically used alternatingly and high-pass filter is realized.It is this it is traditional based on
The calculation amount of the wavelet transform of convolution is very big, and computation complexity is high, requires height to memory space, is unfavorable for hardware realization,
Lead to wind-powered electricity generation climbing rate stabilizes inefficiency.
Summary of the invention
Based on this, it is necessary to existing wind-powered electricity generation climbing rate stabilize method operation occupy resource it is big, operation efficiency is low, causes
The technical issues of stabilizing inefficiency, provide a kind of wind-powered electricity generation climbing rate stabilizes methods, devices and systems.
A kind of wind-powered electricity generation climbing rate stabilizes method, comprising the following steps:
Obtain the wind power of wind power plant output;
If current time, which is in, calculates the moment, level-one wavelet filtering is carried out to the wind power, obtains best decompose
The number of plies obtains meeting the first smooth output power sequence that power swing stabilizes constraint (FMR);Wherein, every between setting time
Every being equipped with a calculating moment, remaining period is the non-computational period;
If current time is in the non-computational period, the wind power is decomposed to by lifting wavelet transform (SWT)
Upper one calculates the best Decomposition order obtained at the moment, obtains the first smooth output power sequence for meeting FMR;
Second level wavelet filtering is carried out to the first smooth output power sequence for meeting FMR of acquisition, it is smooth defeated to obtain second
Power sequence out;
According to the smooth output power for the wind power that the described second smooth output power retrieval is stabilized.
Above-mentioned wind-powered electricity generation climbing rate is stabilized in method, and division calculating moment and non-computational period, each calculation interval will be adjusted
With a level-one wavelet filtering, and save obtained best Decomposition order;It is direct to original wind power data in the non-computational period
The best Decomposition order that a upper calculation interval saves is decomposed to using SWT and obtains the first smooth output power sequence, thus significantly
Reduce calculation amount, improves operation efficiency.Wherein, the time interval between the neighborhood calculation moment is decided by that ultra-short term power is pre-
The precision of survey, the smaller then precision of time interval is higher, and the corresponding resource for calculating occupancy is bigger.Further, since the filtering number that floats
It is rolled in real time according to window, level-one filtering output can be because the random fluctuation of wind power also shows a degree of fluctuation, to produce
Noise is given birth to, therefore after carrying out level-one filtering processing, then carried out secondary filter, has realized denoising to further smooth output.
In one embodiment, described that the wind power is decomposed into the best of upper calculating moment acquisition by SWT
After Decomposition order, further includes: if the smooth output power sequence that SWT is decomposed is unsatisfactory for FMR, to the smooth output
Power sequence carries out level-one wavelet filtering, obtains the smooth output power sequence for meeting FMR.A upper meter is being decomposed to by SWT
The smooth output power sequence that the best Decomposition order at calculation moment obtains is unsatisfactory for FMR, further calls level-one wavelet filtering, protects
The smooth output power sequence that card filtering obtains meets FMR.
In one embodiment, described that level-one wavelet filtering then is carried out to the wind power, best Decomposition order is obtained,
The the first smooth output power sequence for obtaining meeting FMR includes:
Layer-by-layer wavelet decomposition is carried out to the wind power, if the low frequency part reconstruct that the current layer number decomposed obtains is flat
Sliding output sequence is unsatisfactory for FMR, then continues to carry out the low frequency part that this layer decomposes next layer of decomposition;If the current layer number decomposed
The smooth output sequence of obtained low frequency part reconstruct meets FMR, then exports this and meet the smooth output sequence of FMR, and take and work as
The preceding number of plies is best Decomposition order;If the current layer number decomposed reaches maximum decomposition level number, decomposition is obtained using FMR
Low frequency part is constrained, and the smooth output sequence for meeting FMR is obtained, and taking the maximum decomposition level number is best decomposition layer
Number.
The technical solution of above-described embodiment carries out layer-by-layer wavelet decomposition to wind power, until decompose obtain it is smooth defeated
Sequence meets FMR out, and if decompose to maximum decomposition level number still and be when meeting FMR, in order to avoid alias caused by excessive decomposition,
It directly constrains to obtain the smooth output sequence for meeting FMR using FMR, to guarantee to decompose the reliable of obtained smooth output sequence
Property.
In the above-described embodiments, when the number of plies of decomposition reaches maximum decomposition level number, illustrate currently to calculate moment blower function
Rate is fallen or rises very big, and the low frequency part after leading to wavelet decomposition can not fall on the section FMR.Polymorphic type energy-storage system to be reduced
Compensation power, power of fan smoother output value at this time should meet the development trend of power of fan as far as possible.
In order to identify the development trend of blowing machine output power, it is necessary to relatively currently calculate moment wind performance number with smoothly it is defeated
The data characteristics being worth out.In one embodiment, described in above-described embodiment then using FMR to the obtained low frequency part of decomposition into
Row constraint, the smooth output sequence for obtaining meeting FMR may include steps of:
The average value of the synthesis output power at the current calculating moment for calculating the first setting number before the moment is obtained, with
And the average value of the predicted value of the wind power at the current calculating moment for calculating the second setting number after the moment;
If the average value of the predicted value of the wind power is greater than or equal to the average value of the synthesis output power, take
The maximum value in the section FMR and current the second time ruler calculated before the moment in first time scale before the current calculating moment
Smaller value in spending between the maximum value in the section FMR is the current smooth output sequence for meeting FMR for calculating the moment;
If the average value of the predicted value of the wind power is less than the average value of the synthesis output power, current meter is taken
In first time scale before calculating the moment in the minimum value in the section FMR and current the second time scale calculated before the moment
The larger value between the minimum value in the section FMR is the current smooth output sequence for meeting FMR for calculating the moment;
Wherein, the section FMR is the current calculating moment wind power smooth output for meeting wind-powered electricity generation climbing rate and stabilizing index
Be worth allow interval range, wherein meet the wind-powered electricity generation climbing rate stabilize index need to meet any first time scale when
Between in range, the ratio between total rated output power of the smooth output power of wind power and wind power plant less than the first index value, and
In the time range of any second time scale, the smooth output power of wind power and total rated output power of wind power plant
The ratio between less than the second index value.
In one embodiment, the first smooth output power sequence for meeting FMR of described pair of acquisition carries out second level small echo
Filtering, obtaining the second smooth output power sequence includes:
First data met in the first smooth output power sequence of FMR that will acquire remove, and take remaining institute
The data of the setting number in the first smooth output power sequence are stated, are initial secondary filter output sequence;To described initial two
After grade filtering output sequence carries out symmetric extension, the initial secondary filter output sequence is decomposed to the layer of setting by SWT
Number, obtains secondary filter sequence;By the high frequency section zero setting in the secondary filter sequence, and rest part is reconstructed,
Obtain the second smooth output power sequence.After carrying out level-one filtering processing, then secondary filter is carried out, removal level-one filtering generates
Noise with further smooth output.
Above-mentioned wind-powered electricity generation climbing rate stabilizes method, by two-stage wavelet filtering, is calculated and meets power swing and stabilize about
The smooth output of the wind power of Shu Zhibiao.And in order to realize the smooth output output power according to the wind power of above-mentioned calculating to electricity
Net needs to configure corresponding energy storage device and carries out charge and discharge, defeated with the smooth output power and wind power plant that make up output to power grid
Difference between power out.
In one embodiment, when the first smooth output power sequence for obtaining meeting FMR, super capacitor is also obtained
The compensation power of device;
Second level wavelet filtering is carried out to the first smooth output power sequence for meeting FMR of acquisition, it is smooth defeated to obtain second
Out when power sequence, the compensation power of lithium battery is also obtained;
And it further comprises the steps of:
Charge and discharge control is carried out to supercapacitor using the compensation power of the supercapacitor, and utilizes the lithium electricity
The compensation power in pond carries out charge and discharge control to lithium ion battery.
The technical solution of above-described embodiment, by the supercapacitor of calculating and the compensation power of lithium ion battery, respectively
The charge and discharge of supercapacitor and lithium ion battery are controlled, so that current wind power plant output wind power is exceeded smooth output power
Part store, or by current wind power plant output wind power lower than smooth output power part by electric discharge supply,
Control is stabilized to Power Output for Wind Power Field finally to realize.
In one embodiment, it when the first smooth output power sequence for obtaining meeting FMR, further comprises the steps of: pair
The wind power is filtered reconstruct, and the wind power is decomposed to initial layer, and the high frequency power sequence decomposed is made
For the compensation power sequence of supercapacitor;Wherein, the initial layer is to meet fluctuation frequency band that supercapacitor can be stabilized most
Small value is not more than the maximum integer number of plies of wind power low-frequency band maximum value;According to the compensation power sequence of the supercapacitor
Column, obtain the compensation power of the supercapacitor.
In one embodiment, the first smooth output power sequence for meeting FMR of described pair of acquisition carries out second level small echo
Filtering, obtains the second smooth output power sequence and further comprises the steps of:
Described second smooth output power sequence is subtracted into the wind power and subtracts the compensation power of supercapacitor,
Obtain the compensation power of lithium ion battery.
The technical solution of above-described embodiment mends wind power fluctuation using supercapacitor and lithium ion battery
Repay control.Wherein high frequency section is lesser using fast response time, long-life, the high still energy storage gross energy of high impulse peak power
The gentle system output power of supercapacitor;The lithium battery of large capacity is used in rather low-frequency part, and utilizes lithium ion battery
Undertake system loss.By using the reasonably combined of two kinds of energy storage devices, it not only can effectively inhibit the output of different time scales
Fluctuation, additionally it is possible to which the charge and discharge number for reducing lithium battery extends the service life of lithium battery.
A kind of stabilizing device of wind-powered electricity generation climbing rate, comprising:
Wind power obtains module, for obtaining the wind power of wind power plant output;
First level-one filter module, calculates the moment if being in for current time, carries out level-one to the wind power
Wavelet filtering obtains best Decomposition order, obtains the first smooth output power sequence for meeting FMR;Wherein, every setting time
It is equipped at intervals with a calculating moment, remaining period is the non-computational period;
The wind power is passed through SWT if being in the non-computational period for current time by the second level-one filter module
The best Decomposition order for decomposing to a calculating moment acquisition, obtains the first smooth output power sequence for meeting FMR;
Secondary filter module, for carrying out the filter of second level small echo to the first smooth output power sequence for meeting FMR of acquisition
Wave obtains the second smooth output power sequence;
Power output module is stabilized, the wind power for being stabilized according to the described second smooth output power retrieval
Smooth output power.
The stabilizing device of above-mentioned wind-powered electricity generation climbing rate is divided and is calculated when the smoother output value that progress wind power is stabilized calculates
Moment and non-computational period, each calculation interval will call a level-one wavelet filtering, and save obtained best decomposition layer
Number;In the non-computational period, the best decomposition layer that a upper calculation interval saves directly is decomposed to using SWT to original wind power data
Number obtains the first smooth output power sequence and improves operation efficiency to greatly reduce calculation amount.Carrying out level-one filtering
After processing, then secondary filter is carried out, the noise that removal level-one filtering generates is to further smooth output.Wind-powered electricity generation is effectively improved to climb
Ratio of slope stabilizes efficiency and effect.
A kind of stabilizing system of wind-powered electricity generation climbing rate, comprising: central controller, supercapacitor and lithium ion battery;
The supercapacitor is electrically connected with the wind power plant and power grid respectively, for the control in the central controller
Instruct the lower wind power for storing the wind power plant output or output power to power grid;
The lithium ion battery is electrically connected with the wind power plant and power grid respectively, for the control in the central controller
Instruct the lower wind power for storing the wind power plant output or output power to power grid;
The central controller is communicated to connect with wind power plant, supercapacitor and lithium ion battery respectively, for executing such as
Wind-powered electricity generation climbing rate the step of stabilizing method described in upper any embodiment.
The stabilizing system of above-mentioned wind-powered electricity generation climbing rate, the charge and discharge by controlling supercapacitor and lithium ion battery are put down respectively
The wind power swing for pressing down long and short two different frequency range, when the smoother output value that progress wind power is stabilized calculates, when dividing calculating
A level-one wavelet filtering will be called, and saves obtained best Decomposition order with non-computational period, each calculation interval by carving;
In the non-computational period, the best Decomposition order that a upper calculation interval saves directly is decomposed to using SWT to original wind power data
It obtains the first smooth output power sequence and improves operation efficiency to greatly reduce calculation amount.It is carrying out at level-one filtering
After reason, then secondary filter is carried out, the noise that removal level-one filtering generates is to further smooth output.Effectively improve wind-powered electricity generation climbing
Rate stabilizes efficiency and effect.
Detailed description of the invention
Fig. 1 is the applied environment figure for stabilizing method of wind-powered electricity generation climbing rate in one embodiment;
Fig. 2 is the flow diagram for stabilizing method of wind-powered electricity generation climbing rate in one embodiment;
Fig. 3 is the structural block diagram of the stabilizing device of wind-powered electricity generation climbing rate in one embodiment;
Fig. 4 is the structural block diagram of the stabilizing system of wind-powered electricity generation climbing rate in one embodiment.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the present invention, not
For limiting the present invention.
Wind-powered electricity generation climbing rate provided by the invention stabilizes method, can be applied in application environment as shown in Figure 1.Wherein,
Including wind power plant, polymorphic type energy-storage system, bidirectional converter, step-up transformer and central controller, polymorphic type energy storage system
System includes supercapacitor and lithium ion battery, and the polymorphic type energy-storage system passes sequentially through bidirectional converter and boosting transformation
Device is connected with power grid;The central controller passes through the wind power of real-time monitoring wind power plant, and comprehensive climbing rate is stabilized index, counted
Calculate the smooth output power of the wind power plant after being stabilized, and the compensation power and lithium ion battery of corresponding supercapacitor
Compensation power, charge and discharge control is carried out to supercapacitor and lithium ion battery, and export the smooth output power after stabilizing
To power grid.
It will be understood by those skilled in the art that structure shown in Fig. 1, only part relevant to the present invention program is tied
The block diagram of structure, does not constitute the restriction being applied thereon to the present invention program, specifically may include more than as shown in the figure
Or less component, perhaps combine certain components or with different component layouts.Such as above-mentioned polymorphic type storage of the invention
Energy system can also include one or more other types of energy storage dresses other than including supercapacitor and lithium ion battery
It sets, correspondingly, the method for stabilizing of the wind-powered electricity generation climbing rate of the embodiment of the present invention can be used for two kinds and above type of polymorphic type energy storage
The wind-powered electricity generation climbing rate of system is stabilized.
In one embodiment, it as shown in Fig. 2, provide a kind of wind-powered electricity generation climbing rate stabilizes method, applies in this way
It is illustrated for central controller in Fig. 1, comprising the following steps:
S210 obtains the wind power of wind power plant output;
In this step, the wind power of current time wind power plant output can be read in central controller.
S220 carries out level-one wavelet filtering to the wind power if current time, which is in, calculates the moment, obtains best
Decomposition order obtains meeting the first smooth output power sequence that power swing stabilizes constraint (FMR);Wherein, when setting
Between be equipped at intervals with a calculating moment, remaining period is the non-computational period;
The wind power is passed through lifting wavelet transform (SWT) point if current time is in the non-computational period by S230
It solves supreme one and calculates the best Decomposition order that the moment obtains, obtain the first smooth output power sequence for meeting FMR;
Wherein, power of fan signal is decomposed using SWT down step by step, occurs the Sno of lowest frequency partial reconfiguration for the first time
Meet FMR, Decomposition order is denoted as n at this timeo.If continuation is decomposed down, although obtained low frequency part reconstruct is more smooth,
Energy storage power will will increase, and under the premise of meeting validity, the increase of stored energy capacitance does not meet economy, therefore noIt is best
Decomposition order.
S240 carries out second level wavelet filtering to the first smooth output power sequence for meeting FMR of acquisition, it is flat to obtain second
Sheave out power sequence;
S250, according to the smooth output power for the wind power that the described second smooth output power retrieval is stabilized.
If using level-one wavelet filtering to calculate in each sampling instant, it will time-consuming inefficient, while exporting the
Also noise is very big due to the stochastic volatility of wind power for one smooth output power sequence.Above-mentioned wind-powered electricity generation climbing rate of the invention is put down
In suppression method, divides and calculate moment and non-computational period, each calculation interval, a level-one wavelet filtering will be called, and save
Obtained best Decomposition order;In the non-computational period, a upper calculation interval directly is decomposed to using SWT to original wind power data
The best Decomposition order saved obtains the first smooth output power sequence, to greatly reduce calculation amount, improves operation effect
Rate.Wherein, the time interval between the neighborhood calculation moment is decided by that the precision of ultra-short term power prediction, time interval are smaller then smart
Degree is higher, and the corresponding resource for calculating occupancy is bigger.Further, since floating filtering data window rolls in real time, level-one filtering output
To produce noise, therefore first-level filtering can carried out because the random fluctuation of wind power also shows a degree of fluctuation
After wave processing, then secondary filter is carried out, realizes denoising to further smooth output.
In the above-described embodiments, wavelet filtering is a kind of new method for constructing compactly support biorthogonal wavelet.Lifting scheme handle
First generation wavelet transform procedure is divided into following three phases: decomposing (split), predicts (predict) and update (update).With
Scaling function is low-pass filter, and wavelet function is high-pass filter, and original signal can be divided by lifting wavelet transform (SWT)
Low-frequency approximation part and high frequency detail signal continue to decompose obtained low-frequency approximation signal, obtain the details of next stage
Part and approximate signal, and so on.
The above process can be expressed from the next:
Wherein, T is to promote stationary wavelet transform matrix, SiIt is reconstructed for i-th layer of low frequency smooth part, DiIt is thin for i-th layer of high frequency
Save partial reconfiguration;PwindFor power of fan signal, time series Pwind,k, subscript k is related with the time, tk=t0+ k Δ t,
Middle Δ t is time step (time step), t0For starting point.
Wherein, before above-mentioned steps S220 and S230, the wind power of reading can be pre-processed in advance, to work as
The preceding calculating moment is denoted as t0For=0, in t0=0 moment was filtered reconstruct to the data in filter window, and obtained meeting FMR
Smooth output sequence:
{Psmooth,k| k=-N ..., -1 }
It is predicted using ultra-short term, obtains t0M moment blower output power value { P after=0 momentforecast,k| k=
1 ..., M }, it is added to after the data in floating filter window CTTW:
{Pwind,-N+1,Pwind,-N+2,...,Pwind,0,Pforecast,1,...,Pforecast,M}
In one embodiment, it the wind power by SWT is decomposed to upper one described in the S230 calculates the moment and obtain
Best Decomposition order after, further includes: if the smooth output power sequence that SWT is decomposed is unsatisfactory for FMR, to described flat
The power sequence that sheaves out carries out level-one wavelet filtering, obtains the smooth output power sequence for meeting FMR.It is decomposed to by SWT
The smooth output power sequence that the best Decomposition order at a upper calculating moment obtains is unsatisfactory for FMR, further calls level-one small echo
Filtering, the smooth output power sequence for guaranteeing that filtering obtains meet FMR.
In one embodiment, level-one wavelet filtering then is carried out to the wind power described in S220, obtains best decompose
The number of plies, the first smooth output power sequence for obtaining meeting FMR include:
Layer-by-layer wavelet decomposition is carried out to the wind power, if the low frequency part reconstruct that the current layer number decomposed obtains is flat
Sliding output sequence is unsatisfactory for FMR, then continues to carry out the low frequency part that this layer decomposes next layer of decomposition;If the current layer number decomposed
The smooth output sequence of obtained low frequency part reconstruct meets FMR, then exports this and meet the smooth output sequence of FMR, and take and work as
The preceding number of plies is best Decomposition order;If the current layer number decomposed reaches maximum decomposition level number, decomposition is obtained using FMR
Low frequency part is constrained, and the smooth output sequence for meeting FMR is obtained, and taking the maximum decomposition level number is best decomposition layer
Number.
Small echo or WAVELET PACKET DECOMPOSITION are carried out to wind power signal, are involved in the problems, such as maximum decomposition level.In order to extract low frequency at
Point, it will usually increase Decomposition order, but excessive decomposition will result in alias, in order to avoid alias, following formula need to be met:
(Lw-1)·2level≤Nd
Wherein, NdFor data length, LwFor the length for decomposing low-pass filter.Maximum decomposition level number is obtained by above formula:
Wherein, NmaxFor maximum decomposition level number.
For example, wind power can be decomposed n-th layer, lowest frequency partial reconfiguration when obtaining n-th layer be (Lifting Wavelet
Process is reversible completely):
{Sk n| k=-N+1 ..., -1,0,1 ..., M }
Then t0The lowest frequency output at=0 moment is answered are as follows:
It willHistory output sequence is added, and by Psmooth,-NIt abandons, i.e., smooth output sequence should become:
If this smooth output sequence meets FMR, best number of plies no=n.
If this smooth output sequence is unsatisfactory for FMR, continue to decompose, until n=nmax, then using the section FMR to decomposition
Obtained low frequency part is constrained, and the smooth output sequence for meeting FMR is obtained.
The technical solution of above-described embodiment carries out layer-by-layer wavelet decomposition to wind power, until decompose obtain it is smooth defeated
Sequence meets FMR out, and if decompose to maximum decomposition level number still and be when meeting FMR, in order to avoid alias caused by excessive decomposition,
It directly constrains to obtain the smooth output sequence for meeting FMR using FMR, to guarantee to decompose the reliable of obtained smooth output sequence
Property.
In the above-described embodiments, when the number of plies of decomposition reaches maximum decomposition level number, illustrate currently to calculate moment blower function
Rate is fallen or rises very big, and the low frequency part after leading to wavelet decomposition can not fall on the section FMR.Polymorphic type energy-storage system to be reduced
Compensation power, power of fan smoother output value at this time should meet the development trend of power of fan as far as possible.
In order to identify the development trend of blowing machine output power, it is necessary to relatively currently calculate moment wind performance number with smoothly it is defeated
The data characteristics being worth out.Specifically, in one embodiment, then decomposition is obtained using FMR described in above-described embodiment low
Frequency is partially constrained, and the smooth output sequence for obtaining meeting FMR may include steps of:
The average value of the synthesis output power at the current calculating moment for calculating the first setting number before the moment is obtained, with
And the average value of the predicted value of the wind power at the current calculating moment for calculating the second setting number after the moment;
If the average value of the predicted value of the wind power is greater than or equal to the average value of the synthesis output power, take
The maximum value in the section FMR and current the second time ruler calculated before the moment in first time scale before the current calculating moment
Smaller value in spending between the maximum value in the section FMR is the current smooth output sequence for meeting FMR for calculating the moment;
If the average value of the predicted value of the wind power is less than the average value of the synthesis output power, current meter is taken
In first time scale before calculating the moment in the minimum value in the section FMR and current the second time scale calculated before the moment
The larger value between the minimum value in the section FMR is the current smooth output sequence for meeting FMR for calculating the moment;
For example, by t0M moment power of fan and t before=0 moment0N after=0 momentfA moment power of fan is pre-
The average value of measured valueWith t0The average value of m moment synthesis output before=0 momentCompare, in which:
IfIllustrate that wind power rise is very big, is constrained to meet FMR, then t0=0 moment smoothly exported and answers are as follows:
IfIllustrate that wind power fall down is very big, then t0=0 moment smoothly exported and answers are as follows:
t0The first-level filtering popin of etching system, which sheaves out, when=0 answers are as follows:
Wherein, the section FMR is the current calculating moment wind power smooth output for meeting wind-powered electricity generation climbing rate and stabilizing index
Be worth allow interval range, wherein meet the wind-powered electricity generation climbing rate stabilize index need to meet any first time scale when
Between in range, the ratio between total rated output power of the smooth output power of wind power and wind power plant less than the first index value, and
In the time range of any second time scale, the smooth output power of wind power and total rated output power of wind power plant
The ratio between less than the second index value.
1min is taken with first time scale, the second time scale takes for 30min, it may be considered that electric under high wind-powered electricity generation permeability
The economic stability of Force system is run, and the wind-powered electricity generation climbing rate for choosing large and small two time scales stabilizes index γ1And γ30, then meet
The wind-powered electricity generation climbing rate, which stabilizes index, need to meet following condition:
A) in the time window of any 1min, the ratio between climbing rate and the total rated output power of wind power plant of output power are synthesized
Less than γ1;
B) in the time window of any 30min, synthesize output power climbing rate and the total rated output power of wind power plant it
Than being less than γ30。
Guarantee that wind-powered electricity generation climbing rate meets above-mentioned two index simultaneously, can be promoted under high wind-powered electricity generation permeability electric system it is big,
System reserve level is effectively reduced in dynamic stability under small time scale.
Due to the constraint of FMR, t is denoted as currently to calculate the moment0For=0, the smooth output power value of wind power
Psmooth,oPermitted section is known as the section FMR.t0The section FMR that 1min wind power data is formed before=0 moment should beWherein:
In above formula, PnomFor blower rated power.
t0The section FMR that 30min wind power data is formed before=0 moment should beWherein:
Due to the constraint of FMR, t0The smooth output power at=0 moment should meet following formula within the section FMR:
Power swing stabilizes the setting in constraint section, is pre-processed to the constraint of smooth output power, fortune can be improved
The convergence rate of calculation.
In one embodiment, pair first smooth output power sequence for meeting FMR obtained described in S240 carries out second level
Wavelet filtering, obtaining the second smooth output power sequence includes:
First data met in the first smooth output power sequence of FMR that will acquire remove, and take remaining institute
The data of the setting number in the first smooth output power sequence are stated, are initial secondary filter output sequence;To described initial two
After grade filtering output sequence carries out symmetric extension, the initial secondary filter output sequence is decomposed to the layer of setting by SWT
Number, obtains secondary filter sequence;By the high frequency section zero setting in the secondary filter sequence, and rest part is reconstructed,
Obtain the second smooth output power sequence.After carrying out level-one filtering processing, then secondary filter is carried out, removal level-one filtering generates
Noise with further smooth output.
For example, the smooth output sequence of the secondary filter that N length can be saved, and it will currently calculate the moment and (be denoted as t0When=0
Carve) level-one filtering output addition, first data discarding, the i.e. smooth output sequence of secondary filter are as follows:
{P″smooth,-N+1,...,P″smooth,-1,P′smooth,0}
After symmetric extension, n-th is decomposed to using SWTsLayer, and by high frequency section whole zero setting, and reconstruct, obtain second level filter
Popin sheaves out:
Then t0=0 moment secondary filter smoothly exports:
t0=0 moment HESS final smooth output are as follows:
Psmooth,o=P "smooth,0
Above-mentioned wind-powered electricity generation climbing rate stabilizes method, by two-stage wavelet filtering, is calculated and meets power swing and stabilize about
The smooth output of the wind power of Shu Zhibiao.And in order to realize the smooth output output power according to the wind power of above-mentioned calculating to electricity
Net needs to configure corresponding energy storage device and carries out charge and discharge, defeated with the smooth output power and wind power plant that make up output to power grid
Difference between power out.
Consider that setting includes the polymorphic type energy storage device of two kinds of energy storage modes of supercapacitor and lithium ion battery, using super
Grade capacitor stabilizes the power swing of short-term time scale, stabilizes the power swing of long time scale using lithium ion battery and undertakes
System loss then in one embodiment obtains the first smooth output power sequence for meeting FMR described in S220 and S230
When, also obtain the compensation power of supercapacitor;
Second level wavelet filtering is carried out in the first smooth output power sequence that meets FMR of the S240 to acquisition, obtains second
When smooth output power sequence, the compensation power of lithium battery is also obtained;
And it further comprises the steps of:
Charge and discharge control is carried out to supercapacitor using the compensation power of the supercapacitor, and utilizes the lithium electricity
The compensation power in pond carries out charge and discharge control to lithium ion battery.
The technical solution of above-described embodiment, by the supercapacitor of calculating and the compensation power of lithium ion battery, respectively
The charge and discharge of supercapacitor and lithium ion battery are controlled, so that current wind power plant output wind power is exceeded smooth output power
Part store, or by current wind power plant output wind power lower than smooth output power part by electric discharge supply,
Control is stabilized to Power Output for Wind Power Field finally to realize.
For the concrete operation mode of the compensation power of supercapacitor, in one embodiment, in S220 and S230
When the first smooth output power sequence for obtaining meeting FMR, further comprises the steps of: and weight is filtered to the wind power
The wind power is decomposed to initial layer by structure, compensation power of the high frequency power sequence decomposed as supercapacitor
Sequence;Wherein, the initial layer is to meet the fluctuation frequency band minimum value that supercapacitor can be stabilized to be not more than wind power low frequency
The maximum integer number of plies of frequency band maximum value;According to the compensation power sequence of the supercapacitor, the supercapacitor is obtained
Compensation power.
Specifically, to utilize SWT to Pwind,kFor carrying out n times decomposition, the frequency band of low frequency and high frequency section is respectivelyWithWherein fsFor sample frequency, since the fluctuation of wind power is predominantly located at 1Hz hereinafter, being more than the wave of 1Hz
It is dynamic effectively to be absorbed by the inertia of blower, fsTypically not greater than 1Hz.Supercapacitor dynamic property is good, can be used to stabilize the several seconds
To several minutes of fluctuation, the fluctuation frequency band that can be stabilized is set asWherein Tmin>=1, Tmax>=60, and be believed thatIt is acted on to give full play to supercapacitor, following formula should be made to set up:
Meet the maximum integer n of above formulap, as initial layer.
Pretreated data are filtered reconstruct, decompose n-thpLayer, obtains the compensation power sequence of supercapacitor
Column:
{Puc,k| k=-N+1 ..., -1,0,1 ..., M }
Then the compensation power of supercapacitor is desirable:
And the concrete operation mode of the compensation power for lithium ion battery, it pair obtains in one embodiment, described in S240
The the first smooth output power sequence for meeting FMR taken carries out second level wavelet filtering, obtains the second smooth output power sequence also
Comprising steps of
Described second smooth output power sequence is subtracted into the wind power and subtracts the compensation power of supercapacitor,
Obtain the compensation power of lithium ion battery.
The compensation power of lithium ion battery can be expressed as follows:
The technical solution of above-described embodiment mends wind power fluctuation using supercapacitor and lithium ion battery
Repay control.Wherein high frequency section is lesser using fast response time, long-life, the high still energy storage gross energy of high impulse peak power
The gentle system output power of supercapacitor;The lithium battery of large capacity is used in rather low-frequency part, and utilizes lithium ion battery
Undertake system loss.By using the reasonably combined of two kinds of energy storage devices, it not only can effectively inhibit the output of different time scales
Fluctuation, additionally it is possible to which the charge and discharge number for reducing lithium battery extends the service life of lithium battery.
It should be understood that although each step in above-described embodiment is arranged successively according to number, these steps
It is not necessarily successively to be executed according to the sequence of number.Unless expressly stating otherwise herein, the execution of these steps is not
Stringent sequence limitation, these steps can execute in other order.Moreover, at least part in the step of above-described embodiment
Step may include that perhaps these sub-steps of multiple stages or stage are executed in synchronization to multiple sub-steps
It completes, but can execute at different times, the execution sequence in these sub-steps or stage, which is also not necessarily, successively to be carried out,
But it can be executed in turn or alternately at least part of the sub-step or stage of other steps or other steps.
In one embodiment, as shown in figure 3, providing a kind of stabilizing device of wind-powered electricity generation climbing rate, comprising:
Wind power obtains module 310, for obtaining the wind power of wind power plant output;
First level-one filter module 320, calculates the moment if being in for current time, carries out one to the wind power
Grade wavelet filtering, obtains best Decomposition order, obtains the first smooth output power sequence for meeting FMR;Wherein, when setting
Between be equipped at intervals with a calculating moment, remaining period is the non-computational period;
Second level-one filter module 330 passes through the wind power if being in the non-computational period for current time
SWT decomposes to the best Decomposition order obtained at a calculating moment, obtains the first smooth output power sequence for meeting FMR;
Secondary filter module 340, for carrying out second level small echo to the first smooth output power sequence for meeting FMR of acquisition
Filtering, obtains the second smooth output power sequence;
Power output module 350 is stabilized, the wind-powered electricity generation function for stabilizing according to the described second smooth output power retrieval
The smooth output power of rate.
The stabilizing device of above-mentioned wind-powered electricity generation climbing rate is divided and is calculated when the smoother output value that progress wind power is stabilized calculates
Moment and non-computational period, each calculation interval will call a level-one wavelet filtering, and save obtained best decomposition layer
Number;In the non-computational period, the best decomposition layer that a upper calculation interval saves directly is decomposed to using SWT to original wind power data
Number obtains the first smooth output power sequence and improves operation efficiency to greatly reduce calculation amount.Carrying out level-one filtering
After processing, then secondary filter is carried out, the noise that removal level-one filtering generates is to further smooth output.Wind-powered electricity generation is effectively improved to climb
Ratio of slope stabilizes efficiency and effect.
In one embodiment, the first level-one filter module and the second level-one filter module are met described in the execution
When the smooth output power sequence of the first of FMR, it is also used to obtain the compensation power of supercapacitor;
Secondary filter module is executing the first smooth output power sequence progress second level small echo filter for meeting FMR to acquisition
Wave when obtaining the second smooth output power sequence, is also used to obtain the compensation power of lithium battery;
And further include:
Charge and discharge control module carries out charge and discharge to supercapacitor for the compensation power using the supercapacitor
Control, and charge and discharge control is carried out to lithium ion battery using the compensation power of the lithium battery.
In one embodiment, the second level-one filter module described is decomposed to the wind power by SWT executing
After upper one calculates the best Decomposition order that the moment obtains, it is also used to:
If the smooth output power sequence that SWT is decomposed is unsatisfactory for FMR, the smooth output power sequence is carried out
Level-one wavelet filtering obtains the smooth output power sequence for meeting FMR.
In one embodiment, the first level-one filter module is carrying out level-one wavelet filtering to the wind power,
Best Decomposition order is obtained, when obtaining the first smooth output power sequence for meeting FMR, is further used for:
Layer-by-layer wavelet decomposition is carried out to the wind power, if the low frequency part reconstruct that the current layer number decomposed obtains is flat
Sliding output sequence is unsatisfactory for FMR, then continues to carry out the low frequency part that this layer decomposes next layer of decomposition;If the current layer number decomposed
The smooth output sequence of obtained low frequency part reconstruct meets FMR, then exports this and meet the smooth output sequence of FMR, and take and work as
The preceding number of plies is best Decomposition order;If the current layer number decomposed reaches maximum decomposition level number, decomposition is obtained using FMR
Low frequency part is constrained, and the smooth output sequence for meeting FMR is obtained, and taking the maximum decomposition level number is best decomposition layer
Number.
In one embodiment, the first level-one filter module is carrying out the low frequency part that decomposition obtains using FMR
Constraint, when obtaining the smooth output sequence for meeting FMR, is further used for:
The average value of the synthesis output power at the current calculating moment for calculating the first setting number before the moment is obtained, with
And the average value of the predicted value of the wind power at the current calculating moment for calculating the second setting number after the moment;
If the average value of the predicted value of the wind power is greater than or equal to the average value of the synthesis output power, take
The maximum value in the section FMR and current the second time ruler calculated before the moment in first time scale before the current calculating moment
Smaller value in spending between the maximum value in the section FMR is the current smooth output sequence for meeting FMR for calculating the moment;
If the average value of the predicted value of the wind power is less than the average value of the synthesis output power, current meter is taken
In first time scale before calculating the moment in the minimum value in the section FMR and current the second time scale calculated before the moment
The larger value between the minimum value in the section FMR is the current smooth output sequence for meeting FMR for calculating the moment;
Wherein, the section FMR is the current calculating moment wind power smooth output for meeting wind-powered electricity generation climbing rate and stabilizing index
Be worth allow interval range, wherein meet the wind-powered electricity generation climbing rate stabilize index need to meet any first time scale when
Between in range, the ratio between total rated output power of the smooth output power of wind power and wind power plant less than the first index value, and
In the time range of any second time scale, the smooth output power of wind power and total rated output power of wind power plant
The ratio between less than the second index value.
In one embodiment, the first level-one filter module and the second level-one filter module are met described in the execution
When the smooth output power sequence of the first of FMR, it is also used to:
Reconstruct is filtered to the wind power, the wind power is decomposed into initial layer, the high frequency decomposed
Compensation power sequence of the power sequence as supercapacitor;Wherein, the initial layer meets supercapacitor and can stabilize
Fluctuate the maximum integer number of plies that frequency band minimum value is not more than wind power low-frequency band maximum value;
According to the compensation power sequence of the supercapacitor, the compensation power of the supercapacitor is obtained.
In one embodiment, the secondary filter module meets the first smooth defeated of FMR execute described pair of acquisition
Power sequence progress second level wavelet filtering is further used for when obtaining the second smooth output power sequence out:
First data met in the first smooth output power sequence of FMR that will acquire remove, and take remaining institute
The data of the setting number in the first smooth output power sequence are stated, are initial secondary filter output sequence;
It is by SWT that the initial secondary filter is defeated after carrying out symmetric extension to the initial secondary filter output sequence
Sequence decomposes to the number of plies of setting out, obtains secondary filter sequence;
By the high frequency section zero setting in the secondary filter sequence, and rest part is reconstructed, it is smooth to obtain second
Output power sequence.
In one embodiment, the secondary filter module is executing the first smooth output work for meeting FMR to acquisition
Rate sequence carries out second level wavelet filtering and is also used to when obtaining the second smooth output power sequence:
Described second smooth output power sequence is subtracted into the wind power and subtracts the compensation power of supercapacitor,
Obtain the compensation power of lithium ion battery.
The specific restriction of stabilizing device about wind-powered electricity generation climbing rate may refer to stabilizing above for wind-powered electricity generation climbing rate
The restriction of method, details are not described herein.Modules in the stabilizing device of above-mentioned wind-powered electricity generation climbing rate can be fully or partially through
Software, hardware and combinations thereof are realized.Above-mentioned each module can be embedded in the form of hardware or independently of the place in computer equipment
It manages in device, can also be stored in a software form in the memory in computer equipment, in order to which processor calls execution or more
The corresponding operation of modules.
The method of stabilizing of the stabilizing device of wind-powered electricity generation climbing rate of the invention and wind-powered electricity generation climbing rate of the invention corresponds,
The technical characteristic and its advantages that the embodiment for stabilizing method of above-mentioned wind-powered electricity generation climbing rate illustrates are suitable for wind-powered electricity generation climbing rate
Stabilizing device embodiment in, hereby give notice that.
In one embodiment, as shown in figure 4, providing a kind of stabilizing system of wind-powered electricity generation climbing rate, comprising: center control
Device, supercapacitor and lithium ion battery;
The supercapacitor is electrically connected with the wind power plant and power grid respectively, for the control in the central controller
Instruct the lower wind power for storing the wind power plant output or output power to power grid;
The lithium ion battery is electrically connected with the wind power plant and power grid respectively, for the control in the central controller
Instruct the lower wind power for storing the wind power plant output or output power to power grid;
The central controller is communicated to connect with wind power plant, supercapacitor and lithium ion battery respectively, for executing such as
Wind-powered electricity generation climbing rate the step of stabilizing method described in upper any embodiment.
The stabilizing system of above-mentioned wind-powered electricity generation climbing rate, the charge and discharge by controlling supercapacitor and lithium ion battery are put down respectively
The wind power swing for pressing down long and short two different frequency range, when the smoother output value that progress wind power is stabilized calculates, when dividing calculating
A level-one wavelet filtering will be called, and saves obtained best Decomposition order with non-computational period, each calculation interval by carving;
In the non-computational period, the best Decomposition order that a upper calculation interval saves directly is decomposed to using SWT to original wind power data
It obtains the first smooth output power sequence and improves operation efficiency to greatly reduce calculation amount.It is carrying out at level-one filtering
After reason, then secondary filter is carried out, the noise that removal level-one filtering generates is to further smooth output.Effectively improve wind-powered electricity generation climbing
Rate stabilizes efficiency and effect.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
It can inquire in storage medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided by the present invention,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention
Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (10)
1. a kind of wind-powered electricity generation climbing rate stabilizes method characterized by comprising
Obtain the wind power of wind power plant output;
If current time, which is in, calculates the moment, level-one wavelet filtering is carried out to the wind power, obtains best Decomposition order,
Obtain the first smooth output power sequence for meeting FMR;Wherein, it is equipped at intervals with a calculating moment every setting time, remaining
Period is the non-computational period;
If current time is in the non-computational period, the wind power is decomposed to upper one by SWT and calculates what the moment obtained
Best Decomposition order obtains the first smooth output power sequence for meeting FMR;
Second level wavelet filtering is carried out to the first smooth output power sequence for meeting FMR of acquisition, obtains the second smooth output work
Rate sequence;
According to the smooth output power for the wind power that the described second smooth output power retrieval is stabilized.
2. wind-powered electricity generation climbing rate according to claim 1 stabilizes method, which is characterized in that obtain meeting FMR's described
When the first smooth output power sequence, the compensation power of supercapacitor is also obtained;
Second level wavelet filtering is being carried out to the first smooth output power sequence for meeting FMR of acquisition, is obtaining the second smooth output
When power sequence, the compensation power of lithium battery is also obtained;
And it further comprises the steps of:
Charge and discharge control is carried out to supercapacitor using the compensation power of the supercapacitor, and utilizes the lithium battery
It compensates power and charge and discharge control is carried out to lithium ion battery.
3. wind-powered electricity generation climbing rate according to claim 1 or 2 stabilizes method, which is characterized in that described by the wind-powered electricity generation
Power is decomposed to by SWT after the best Decomposition order that upper one calculates moment acquisition, further includes:
If the smooth output power sequence that SWT is decomposed is unsatisfactory for FMR, level-one is carried out to the smooth output power sequence
Wavelet filtering obtains the smooth output power sequence for meeting FMR.
4. wind-powered electricity generation climbing rate according to claim 1 stabilizes method, which is characterized in that described then to the wind power
Level-one wavelet filtering is carried out, obtains best Decomposition order, the first smooth output power sequence for obtaining meeting FMR includes:
Layer-by-layer wavelet decomposition is carried out to the wind power, if the low frequency part reconstruct that the current layer number decomposed obtains is smooth defeated
Sequence is unsatisfactory for FMR out, then continues to carry out the low frequency part that this layer decomposes next layer of decomposition;If the current layer number decomposed obtains
Low frequency part reconstruct smooth output sequence meet FMR, then export this and meet the smooth output sequence of FMR, and take current layer
Number is best Decomposition order;If the low frequency that the current layer number decomposed when reaching maximum decomposition level number, obtains decomposition using FMR
Part is constrained, and the smooth output sequence for meeting FMR is obtained, and taking the maximum decomposition level number is best Decomposition order.
5. wind-powered electricity generation climbing rate according to claim 4 stabilizes method, which is characterized in that described then using FMR to decomposition
Obtained low frequency part is constrained, and the smooth output sequence for obtaining meeting FMR includes:
The average value of the synthesis output power at the current calculating moment for calculating the first setting number before the moment is obtained, and is worked as
The average value of the predicted value of the wind power at the preceding calculating moment for calculating the second setting number after the moment;
If the average value of the predicted value of the wind power is greater than or equal to the average value of the synthesis output power, take current
In first time scale before calculating the moment in the maximum value in the section FMR and current the second time scale calculated before the moment
Smaller value between the maximum value in the section FMR is the current smooth output sequence for meeting FMR for calculating the moment;
If the average value of the predicted value of the wind power is less than the average value of the synthesis output power, when taking current calculating
The minimum value in the section FMR and the area FMR in the second time scale before the current calculating moment in first time scale before quarter
Between minimum value between the larger value be the current smooth output sequence for meeting FMR for calculating the moment;
Wherein, the section FMR be meet wind-powered electricity generation climbing rate stabilize index current calculating moment wind power smooth output valve permit
Perhaps interval range, wherein time model in any first time scale need to be met by meeting the wind-powered electricity generation climbing rate and stabilizing index
In enclosing, the ratio between total rated output power of the smooth output power of wind power and wind power plant is and in office less than the first index value
It anticipates in the time range of the second time scale, the ratio between smooth output power and total rated output power of wind power plant of wind power
Less than the second index value.
6. wind-powered electricity generation climbing rate according to claim 4 or 5 stabilizes method, which is characterized in that further comprise the steps of: to described
Wind power is filtered reconstruct, and the wind power is decomposed to initial layer, and the high frequency power sequence decomposed is as super
The compensation power sequence of grade capacitor;Wherein, the initial layer is the fluctuation frequency band minimum value that meets supercapacitor and can stabilize
No more than the maximum integer number of plies of wind power low-frequency band maximum value;
According to the compensation power sequence of the supercapacitor, the compensation power of the supercapacitor is obtained.
7. wind-powered electricity generation climbing rate according to claim 1 or 2 stabilizes method, which is characterized in that the satisfaction of described pair of acquisition
The smooth output power sequence of the first of FMR carries out second level wavelet filtering, and obtaining the second smooth output power sequence includes:
First data meeting in the first smooth output power sequence of FMR that will acquire remove, and take remaining described the
The data of setting number in one smooth output power sequence are initial secondary filter output sequence;
After carrying out symmetric extension to the initial secondary filter output sequence, the initial secondary filter is exported by sequence by SWT
Column decompose to the number of plies of setting, obtain secondary filter sequence;
By the high frequency section zero setting in the secondary filter sequence, and rest part is reconstructed, obtains the second smooth output
Power sequence.
8. wind-powered electricity generation climbing rate according to claim 7 stabilizes method, which is characterized in that further comprise the steps of:
Described second smooth output power sequence is subtracted into the wind power and subtracts the compensation power of supercapacitor, is obtained
The compensation power of lithium ion battery.
9. a kind of stabilizing device of wind-powered electricity generation climbing rate characterized by comprising
Wind power obtains module, for obtaining the wind power of wind power plant output;
First level-one filter module, calculates the moment if being in for current time, carries out level-one small echo to the wind power
Filtering, obtains best Decomposition order, obtains the first smooth output power sequence for meeting FMR;Wherein, every setting time interval
Equipped with a calculating moment, remaining period is the non-computational period;
Second level-one filter module is decomposed the wind power by SWT if being in the non-computational period for current time
Supreme one calculates the best Decomposition order obtained at the moment, obtains the first smooth output power sequence for meeting FMR;
Secondary filter module is obtained for carrying out second level wavelet filtering to the first smooth output power sequence for meeting FMR of acquisition
To the second smooth output power sequence;
Stabilize power output module, the wind power for being stabilized according to the described second smooth output power retrieval it is smooth
Output power.
10. a kind of stabilizing system of wind-powered electricity generation climbing rate characterized by comprising central controller, supercapacitor and lithium ion
Battery;
The supercapacitor is electrically connected with the wind power plant and power grid respectively, for the control instruction in the central controller
The wind power or output power of lower storage wind power plant output are to power grid;
The lithium ion battery is electrically connected with the wind power plant and power grid respectively, for the control instruction in the central controller
The wind power or output power of lower storage wind power plant output are to power grid;
The central controller is communicated to connect with wind power plant, supercapacitor and lithium ion battery respectively, for executing such as right
It is required that the step of stabilizing method of 1 to 8 described in any item wind-powered electricity generation climbing rates.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810862050.9A CN109066772A (en) | 2018-08-01 | 2018-08-01 | Wind-powered electricity generation climbing rate stabilizes methods, devices and systems |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810862050.9A CN109066772A (en) | 2018-08-01 | 2018-08-01 | Wind-powered electricity generation climbing rate stabilizes methods, devices and systems |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109066772A true CN109066772A (en) | 2018-12-21 |
Family
ID=64832486
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810862050.9A Pending CN109066772A (en) | 2018-08-01 | 2018-08-01 | Wind-powered electricity generation climbing rate stabilizes methods, devices and systems |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109066772A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109740111A (en) * | 2018-12-24 | 2019-05-10 | 华北科技学院 | Electric field value prediction algorithm over the ground |
CN110247426A (en) * | 2019-06-12 | 2019-09-17 | 国网山西省电力公司电力科学研究院 | A kind of robust Unit Combination method based on the uncertain set of multiband |
CN111478363A (en) * | 2020-04-17 | 2020-07-31 | 新疆大学 | Method for stabilizing power fluctuation based on photovoltaic hybrid energy storage time-scale segment |
CN114186398A (en) * | 2021-11-24 | 2022-03-15 | 浙江大学 | Optimal frequency selection method for offshore wind power low-frequency sending-out system |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104319793A (en) * | 2014-09-29 | 2015-01-28 | 上海交通大学 | Wind storage coordination control method for stabilizing long and short-period wind power fluctuation |
CN105262117A (en) * | 2015-11-12 | 2016-01-20 | 四川大学 | Wind power climbing optimization control method |
KR20160007838A (en) * | 2014-07-03 | 2016-01-21 | (주) 디엔디이 | Method for designing and analyzing wind turbine blade |
CN107482657A (en) * | 2017-08-10 | 2017-12-15 | 广州供电局有限公司 | Wind-powered electricity generation climbing rate stabilizes method and system in real time |
-
2018
- 2018-08-01 CN CN201810862050.9A patent/CN109066772A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20160007838A (en) * | 2014-07-03 | 2016-01-21 | (주) 디엔디이 | Method for designing and analyzing wind turbine blade |
CN104319793A (en) * | 2014-09-29 | 2015-01-28 | 上海交通大学 | Wind storage coordination control method for stabilizing long and short-period wind power fluctuation |
CN105262117A (en) * | 2015-11-12 | 2016-01-20 | 四川大学 | Wind power climbing optimization control method |
CN107482657A (en) * | 2017-08-10 | 2017-12-15 | 广州供电局有限公司 | Wind-powered electricity generation climbing rate stabilizes method and system in real time |
Non-Patent Citations (1)
Title |
---|
洪海生: "《应用于平抑风电功率波动的多类型储能系统容量配置与协调控制研究》", 《中国优秀硕士学位论文全文数据库(电子期刊)》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109740111A (en) * | 2018-12-24 | 2019-05-10 | 华北科技学院 | Electric field value prediction algorithm over the ground |
CN109740111B (en) * | 2018-12-24 | 2023-09-22 | 华北科技学院 | Method for predicting value of electric field to ground |
CN110247426A (en) * | 2019-06-12 | 2019-09-17 | 国网山西省电力公司电力科学研究院 | A kind of robust Unit Combination method based on the uncertain set of multiband |
CN110247426B (en) * | 2019-06-12 | 2022-09-06 | 国网山西省电力公司电力科学研究院 | Robust set combination method based on multi-band uncertain set |
CN111478363A (en) * | 2020-04-17 | 2020-07-31 | 新疆大学 | Method for stabilizing power fluctuation based on photovoltaic hybrid energy storage time-scale segment |
CN114186398A (en) * | 2021-11-24 | 2022-03-15 | 浙江大学 | Optimal frequency selection method for offshore wind power low-frequency sending-out system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109066772A (en) | Wind-powered electricity generation climbing rate stabilizes methods, devices and systems | |
CN105896582B (en) | A kind of microgrid stored energy capacitance Optimal Configuration Method | |
Jiang et al. | Wavelet-based capacity configuration and coordinated control of hybrid energy storage system for smoothing out wind power fluctuations | |
CN112636367B (en) | Hybrid energy storage capacity optimal configuration method for stabilizing wind power fluctuation | |
CN106532831A (en) | Charging control method and device | |
CN107994593B (en) | Capacity configuration method of composite energy storage system and terminal equipment | |
CN112003311A (en) | Wind power system power fluctuation stabilizing method and device and wind power system | |
CN112736973A (en) | Battery energy storage capacity configuration method and system for stabilizing output fluctuation of wind power and photovoltaic power station | |
CN114201916A (en) | Residual power decomposition method for micro-grid hybrid energy storage system based on parameter optimization | |
JP2015080378A (en) | Power stabilizer and power generation system comprising the same and power stabilizing method | |
CN112290596B (en) | Wind power plant hybrid energy storage configuration self-adaptive double-layer optimization method based on Haar wavelet | |
CN115811088A (en) | Voltage control method, device and medium based on photovoltaic inverter | |
CN112132313B (en) | Water level prediction method, device and storage medium | |
CN118017558A (en) | Distributed photovoltaic multi-scene energy storage configuration method and system under load uncertainty | |
Kryonidis et al. | Impact of power smoothing techniques on the long-term performance of battery energy storage systems | |
CN111146793B (en) | Photovoltaic-energy storage system capacity optimization design method and system based on power feature extraction | |
CN117200272A (en) | Method, system, equipment and medium for optimally configuring energy storage capacity of micro-grid containing pumping and storage | |
Christian et al. | Online wavelet based control of hybrid energy storage systems for smoothing wind farm output | |
CN110707745A (en) | Multi-time scale economic dispatching method of electric heating integrated system based on improved VMD | |
CN116191542A (en) | Smooth output control method and device of wind-hydrogen storage combined system and electronic equipment | |
CN116207781A (en) | Two-stage photovoltaic power fluctuation smoothing method based on wavelet packet decomposition technology | |
Liang et al. | Control strategy of photovoltaic DC microgrid based on fuzzy EEMD | |
CN115940281A (en) | Method, system and medium for determining offshore wind power fluctuation real-time stabilization target power | |
CN108736483B (en) | Method and system for determining power grid operation mode | |
CN107565578B (en) | The reactive output control method and device of power distribution network |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20200925 Address after: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Applicant after: Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd. Address before: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Applicant before: GUANGZHOU POWER SUPPLY Co.,Ltd. |
|
TA01 | Transfer of patent application right | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181221 |
|
RJ01 | Rejection of invention patent application after publication |