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 PDF

Info

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
Application number
CN201810862050.9A
Other languages
Chinese (zh)
Inventor
洪海生
贺廷
朱涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Power Supply Bureau of Guangdong Power Grid Co Ltd
Original Assignee
Guangzhou Power Supply Bureau Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guangzhou Power Supply Bureau Co Ltd filed Critical Guangzhou Power Supply Bureau Co Ltd
Priority to CN201810862050.9A priority Critical patent/CN109066772A/en
Publication of CN109066772A publication Critical patent/CN109066772A/en
Pending legal-status Critical Current

Links

Classifications

    • H02J3/386
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems 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

Wind-powered electricity generation climbing rate stabilizes methods, devices and systems
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.
CN201810862050.9A 2018-08-01 2018-08-01 Wind-powered electricity generation climbing rate stabilizes methods, devices and systems Pending CN109066772A (en)

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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Patent Citations (4)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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