CN109659970A - Energy-storage system based on variation mode decomposition stabilizes the control method of wind power swing - Google Patents
Energy-storage system based on variation mode decomposition stabilizes the control method of wind power swing Download PDFInfo
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- H02J3/386—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—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
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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Abstract
The present invention proposes that a kind of mixed energy storage system based on variation mode decomposition stabilizes the control method of wind power swing.Moving average filter is carried out to wind power first and determines wind-electricity integration power and hybrid energy-storing charge-discharge electric power, variation mode decomposition is carried out to hybrid energy-storing charge-discharge electric power and obtains multiple subsequences；Mutual information entropy determines high fdrequency component and low frequency component between calculating adjacent subsequence, realizes the distribution of mixed energy storage system prime power；Consider power-type energy storage charge state, fuzzy revising is carried out to the power distribution of mixed energy storage system, the mixed energy storage system charge-discharge electric power after being optimized guarantees that mixed energy storage system is run steadily in the long term under the premise of ensuring that effect is stabilized in wind-powered electricity generation fluctuation.
Description
Technical field
The invention belongs to power domain, it is related to a kind of mixed energy storage system based on variation mode decomposition and stabilizes wind power waves
Dynamic control method.
Background technique
The features such as influence of the factors such as climate and environment, intermittent and fluctuation is presented in wind-power electricity generation, as wind-powered electricity generation fills
The continuous expansion of machine scale, wind-powered electricity generation direct grid-connected bring huge challenge to power grid.Therefore, country puts into effect relevant criterion, clearly advises
Determine wind-electricity integration power swing range, can effectively stabilize wind power fluctuation in wind farm side configuration energy-storage system, it is ensured that electricity
Force system safe and stable operation.Existing energy storage technology can be divided into two class of energy type energy storage and power-type energy storage by type, wherein
Energy type energy storage includes batteries to store energy, energy storage of drawing water etc., and energy density is larger, but cycle life is limited, is unsuitable for carrying out frequency
Numerous charge and discharge conversion；Power-type energy storage includes super capacitor, flywheel energy storage and superconducting energy storage etc., and power density is big, cycle life
It is long, but energy density is smaller, is unsuitable for significantly wind-powered electricity generation fluctuation and stabilizes.Therefore, it using the two complementary characteristic, is stored up using energy type
The mixed energy storage system (HESS) that can be constituted with power-type energy storage stabilizes wind power fluctuation.Up to now, domestic and foreign scholars have been
Wind power fluctuation to be stabilized to HESS and is unfolded many researchs, first-order low-pass wave method is widely used because simple and easy,
But low-pass filtering time constant difficulty determines, it is difficult to extract accurate profile.And WAVELET PACKET DECOMPOSITION needs to select basic function, and
Accuracy is related with the selection of basic function.Empirical mode decomposition (empirical mode decomposition, EMD) can be certainly
The decomposition nonlinear properties of adaptation, but there is boundary effect and modal overlap in itself in EMD decomposition.
Summary of the invention
In view of the above-mentioned problems, variation mode decomposition (variational mode decomposition, VMD) is introduced, it is right
Than the recurrence filtering mode that EMD is decomposed, VMD, which is decomposed, is changed into solution variational problem for mode estimation problem, has firm number
Basis and good noise robustness are learned, by reasonable control convergence condition, component number is decomposed also much smaller than EMD；In addition,
VMD decomposition can effectively decompose pure harmonic signal similar in frequency.
It is therefore proposed that a kind of mixed energy storage system based on variation mode decomposition stabilizes the control method of wind power swing.
Moving average filter is carried out to wind power first and determines wind-electricity integration power and hybrid energy-storing charge-discharge electric power, to hybrid energy-storing
Charge-discharge electric power carries out variation mode decomposition and obtains multiple subsequences；Mutual information entropy determines high fdrequency component between calculating adjacent subsequence
And low frequency component, realize the distribution of mixed energy storage system prime power；Power-type energy storage charge state is considered, to mixed energy storage system
Power distribution carry out fuzzy revising, the mixed energy storage system charge-discharge electric power after optimize, ensure wind-powered electricity generation fluctuate stabilize
Under the premise of effect, guarantee that mixed energy storage system is run steadily in the long term.
Step are as follows:
(1) mixed energy storage system is configured in wind farm side
(2) moving average filter is carried out to wind power and determines that wind-electricity integration power and hybrid energy-storing are contributed；
(3) VMD decomposition is carried out to hybrid energy-storing power, obtains each subsequence；
(4) the normalized mutual information entropy between adjacent subsequence is calculated；
(5) normalized mutual information entropy minimum point is chosen as high and low frequency part separation；
(6) high frequency section is reconstructed into power-type energy storage original allocation power, and it is initial that low frequency part is reconstructed into energy type energy storage
Distribution power；
(7) hybrid energy-storing power distribution is optimized according to power-type energy storage SOC, is corrected using fuzzy control theory mixed
Close the instruction of energy-storage system charge-discharge electric power.
Detailed description of the invention
Fig. 1 wind storing cogeneration system structure
Fig. 2 fuzzy controller membership function
Fig. 3 variation mode decomposition algorithm flow chart
Fig. 4 wind power curve
Fig. 5 mixed energy storage system output power curve
Fig. 6 VMD decomposition result and frequency spectrum
Fig. 7 EMD decomposition result and frequency spectrum
Fig. 8 battery reference power curve
Fig. 9 supercapacitor reference power curve
Figure 10 mixed energy storage system SOC change curve
Mixed energy storage system SOC change curve after Figure 11 fuzzy control
Specific embodiment
One, the mixed energy storage system prime power distribution based on variation mode decomposition
1.1 wind storing cogeneration systems
Mixed energy storage system is configured in wind farm side, wind power fluctuation is made to meet national Grid-connection standards, wind storage joint hair
Electric system structure is as shown in Figure 1.
In Fig. 1, PW(t) it contributes for t moment wind generator system；PHESSIt (t) is t moment mixed energy storage system charge and discharge electric work
Rate, being positive indicates that mixed energy storage system charges, and being negative indicates that mixed energy storage system discharges；PE(t) it is filled for the energy storage of t moment energy type
Discharge power； PPIt (t) is t moment power-type energy storage charge-discharge electric power；PoutIt (t) is t moment wind-electricity integration power.
Insufficient or excessive to avoid wind power from stabilizing, according to national standard, the present invention first slides wind power
Dynamic average filter, the undulated control for making wind-electricity integration power in a certain range, obtain more smooth wind-electricity integration power and
Hybrid energy-storing charge-discharge electric power, calculation formula are as follows.
X (t)=PHESS(t)=PW(t)-Pout(t) (1)
PHESS(t)=PE(t)+PP(t) (2)
1.2 variation mode decompositions
Assuming that carrying out VMD decomposition to mixed energy storage system power x (t), K subsequence u is obtainedk(t), each subsequence is
The different finite bandwidth of centre frequency.Target is to seek the minimum value of the estimation bandwidth sum of each subsequence, and constraint condition is each son
The sum of sequence is equal to input hybrid energy-storing charge-discharge electric power x (t), then the construction of variational problem is as follows:
Wherein, { uk}={ u1,u2,…uK, { ωk}={ ω1,ω2,…,ωK}。
Augmented Lagrangian Functions are introduced, restrictive variational problem is changed into non-binding variational problem, expression formula
It is as follows:
Wherein, α is penalty factor, and λ (t) is Lagrange multiplier.
It is handed over using multiplier alternating direction method (alternate direction method of multipliers, ADMM)
For updateAnd λn+1' saddle point ' of seeking (3).Wherein,Expression formula be
In formula,It is equal to
Based on Parseval/Plancherel Fourier's equilong transformation, formula (4) is converted to frequency domain, obtains each subsequence
Frequency domain update；Then the problems of value of centre frequency is transformed into frequency domain, obtains the update of centre frequency, and update λ, specifically
Expression formula is as follows:
For giving judgement precision e > 0, if meeting iteration stopping conditionStop iteration.
1.3 mixed energy storage system power distributions
Hybrid energy-storing reference power is decomposed into the different subsequences of frequency from low to high through VMD, therefore can be bundle sequence
Column are divided into high and low frequency two parts, and high frequency section is reconstructed into power-type energy storage charge-discharge electric power, and low frequency part is reconstructed into energy
Type energy storage charge-discharge electric power, it may be assumed that
Mutual information (Mutual Information, MI) is derived from the concept of information theory medium entropy[18], for reflect two it is random
Statistic correlation between variable.The degree of association between mutual information and variable is related, and two variable association degree are bigger, then mutual information is bigger
's.
For each subsequence, comentropy are as follows:
In formula, P (uk) it is k-th of subsequence energy.
Then Mutual information entropy between two connected subsequences are as follows:
MI(uk,uk+1)=H (uk)+H(uk+1)-H(uk,uk+1) (11)
Mutual information entropy is normalized:
β=MIi/MAX(MIi) (12)
Mutual information entropy between adjacent subsequence of the hybrid energy-storing power after VMD is decomposed occur from low to high from greatly to
It is small to arrive big situation again, choose separation of the Mutual information entropy minimum point as high frequency section and low frequency part, reconstruct mixing storage
It can system power.
To sum up, detailed process is as follows for the prime power distribution of hybrid energy-storing:
(1) moving average filter is carried out to wind power and determines that wind-electricity integration power and hybrid energy-storing are contributed；
(2) VMD decomposition is carried out to hybrid energy-storing power, obtains each subsequence；
(3) the normalized mutual information entropy between adjacent subsequence is calculated；
(4) normalized mutual information entropy minimum point is chosen as high and low frequency part separation；
(5) high frequency section is reconstructed into power-type energy storage original allocation power, and it is initial that low frequency part is reconstructed into energy type energy storage
Distribution power.
Two, hybrid energy-storing fuzzy control strategy
In the power primary distribution of mixed energy storage system, do not consider that SOC in energy-storage system actual motion is out-of-limit and charge and discharge
The problem of electroresponse scarce capacity.And the energy density of power-type energy storage is relatively small, is easy to appear super-charge super-discharge phenomenon.Cause
This, the present invention optimizes hybrid energy-storing power distribution according to power-type energy storage SOC, with power-type energy storage t-1 moment SOC value
SOC,P(t-1) and t moment power-type energy storage charge state variable quantity DSOC,PIt (t) is input variable, required DSOC,PIt (t) can be by formula
(13) it calculates.Power instruction adjusted coefficient K p (t) is output variable, corrects mixed energy storage system charge and discharge using fuzzy control theory
Electrical power instruction.
In formula, Δ t is Period Length, ηcp、ηdpThe respectively charge efficiency and discharging efficiency of power-type energy storage, EPFor power
Type stored energy capacitance.
Fuzzy control strategy is as follows:
(1) as power-type energy storage SOC,P(t-1) when moderate, charge and discharge are distributed by initial power.
(2) work as SOC,P(t-1) less than normal and preparation electric discharge or SOC,P(t-1) bigger than normal and when needing to charge, distribute certain power
It is undertaken by energy type energy storage.The membership function and fuzzy rule of input quantity and output quantity are as shown in Fig. 2 and table 2.
(3) t moment regulationing factor of power Kp (t), revised energy type energy storage charge and discharge electric work are obtained by fuzzy optimization
Rate and power-type energy storage charge-discharge electric power are shown below:
P′E(t)=PE(t)+(1-KP(t))PP(t) (14)
P′P(t)=KP(t)PP(t) (15)
2 fuzzy rule of table
Variation mode decomposition algorithm flow chart is as shown in Figure 3.
Three, sample calculation analysis
By taking certain rated power is the wind power plant of 50MW as an example, sampling period 1min, using by battery and super capacitor
The mixed energy storage system of device composition.Rated power/rated capacity of battery and supercapacitor be respectively 5MW/2MWh and
5MW/0.1MWh, battery allow depth of discharge to be 20%~80%, and supercapacitor allows depth of discharge to be 10%
~90%, initial state-of-charge is set as 0.5.
According to China's wind-electricity integration standard, when installed capacity of wind-driven power is 50MW, 1min active power change rate is no more than dress
1/10, the 10min active power change rate of machine capacity is not more than the 1/3 of installed capacity.Sliding average filter is carried out to initial data
Wave is determined for compliance with the grid-connected power of standard.Fig. 4 is wind power moving average filter anterioposterior curve.Fig. 5 is mixed energy storage system
Reference output power.
Before sliding average, wind-powered electricity generation 1min maximum fluctuation rate is that 18.93%, 10min maximum fluctuation rate is 46.31%, sliding
After average, fluctuation index is decreased obviously, and 1min maximum fluctuation rate is down to 9.37%, 10min maximum fluctuation rate and is down to 29.66%,
Meet Grid-connection standards.
To PHESS(t) subsequence number K need to be set by carrying out VMD decomposition, be tested by early period, it is close that centre frequency occurs in when K=8
Mode, that is, there is decomposition.Therefore, the present invention chooses subsequence number number K=7, decomposition result and spectrum distribution such as Fig. 6 institute
Show.
For verify VMD method advantage, using EMD method to PHESS(t) it is decomposed, Fig. 7 is EMD decomposition result and frequency
Spectral structure obtains 7 components altogether.Comparison diagram 5 and Fig. 6 it is found that the component that decomposes of EMD that there are apparent spectral aliasings is existing
As, and VMD decomposition realizes band separation well, efficiently avoids modal overlap, reduces successive bands and stores up to mixing
The influence of energy prime power distribution.
Further, VMD is calculated with 1.3 section the methods and decompose the Mutual information entropy between resulting each adjacent subsequence, such as
Shown in table 3.As shown in Table 3, occur minimum point between subsequence u2 and u3, therefore choose j=2 as separation and reconstruct mixing
Energy storage prime power.
3 normalized mutual information entropy of table
Subsequence u1 and u2 are reconstructed into battery primary charge-discharge electric power, subsequence later is reconstructed into supercapacitor
Primary charge-discharge electric power, as shown in Figure 8 and Figure 9, it is known that allocation result meets energy type energy storage and power-type energy storage characteristic demand.
The SOC situation of change of HESS is as shown in Figure 10, and battery is run in safe range, and supercapacitor occurred
Fill over-discharge phenomenon.It is as shown in figure 11 by the SOC situation of change for obtaining HESS after fuzzy optimization, as seen from the figure, low-frequency fluctuation portion
Divide and stabilized by battery, high frequency section is stabilized by supercapacitor, meets respective performance characteristics.Battery and supercapacitor
SOC is stable to be allowed to avoid the super-charge super-discharge phenomenon of supercapacitor, and to battery SOC and fill in charge-discharge region
Electric discharge transformation has no significant effect.
Finally, it should be noted that the foregoing is only a preferred embodiment of the present invention, it is not intended to restrict the invention,
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art, still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features.
It is all within the contents of the present invention and principle, any modification, equivalent replacement, improvement and so on should be included in of the invention
Within protection scope.
Claims (4)
1. the control method that a kind of energy-storage system based on variation mode decomposition stabilizes wind power swing, which is characterized in that step
Are as follows:
(1) mixed energy storage system is configured in wind farm side
(2) moving average filter is carried out to wind power and determines that wind-electricity integration power and hybrid energy-storing are contributed；
(3) VMD decomposition is carried out to hybrid energy-storing power, obtains each subsequence；
(4) the normalized mutual information entropy between adjacent subsequence is calculated；
(5) normalized mutual information entropy minimum point is chosen as high and low frequency part separation；
(6) high frequency section is reconstructed into power-type energy storage original allocation power, and low frequency part is reconstructed into energy type energy storage original allocation
Power；
(7) hybrid energy-storing power distribution is optimized according to power-type energy storage SOC, corrects mixing storage using fuzzy control theory
It can the instruction of system charge-discharge electric power.
2. the controlling party that a kind of energy-storage system based on variation mode decomposition according to claim 1 stabilizes wind power swing
Method, which is characterized in that step (2)-(6) specific steps are as follows:
VMD decomposition is carried out to mixed energy storage system power x (t), obtains K subsequence uk(t), each subsequence is center frequency
Different finite bandwidths；Target is to seek the minimum value of the estimation bandwidth sum of each subsequence, and constraint condition is the sum of each subsequence
Equal to input hybrid energy-storing charge-discharge electric power x (t), then the construction of variational problem is as follows:
Wherein, { uk}={ u1,u2,…uK, { ωk}={ ω1,ω2,…,ωK}；
Augmented Lagrangian Functions are introduced, restrictive variational problem are changed into non-binding variational problem, expression formula is as follows:
Wherein, α is penalty factor, and λ (t) is Lagrange multiplier；
It is alternately updated using multiplier alternating direction methodAnd λn+1' saddle point ' of seeking (3)；Wherein,Expression
Formula is
In formula, It is equal to
Based on Parseval/Plancherel Fourier's equilong transformation, formula (4) is converted to frequency domain, obtains the frequency of each subsequence
Area update；Then the problems of value of centre frequency is transformed into frequency domain, obtains the update of centre frequency, and update λ, embodies
Formula is as follows:
For giving judgement precision e > 0, if meeting iteration stopping conditionStop iteration；
Hybrid energy-storing reference power is decomposed into the different subsequences of frequency from low to high through VMD, therefore can be subsequence point
For high and low frequency two parts, high frequency section is reconstructed into power-type energy storage charge-discharge electric power, and low frequency part is reconstructed into energy type storage
Energy charge-discharge electric power, it may be assumed that
For each subsequence, comentropy are as follows:
In formula, P (uk) it is k-th of subsequence energy；
Then Mutual information entropy between two connected subsequences are as follows:
MI(uk,uk+1)=H (uk)+H(uk+1)-H(uk,uk+1) (11)
Mutual information entropy is normalized:
β=MIi/MAX(MIi) (12)
Mutual information entropy between adjacent subsequence of the hybrid energy-storing power after VMD is decomposed occurs from big to small again from low to high
To big situation, separation of the Mutual information entropy minimum point as high frequency section and low frequency part is chosen, hybrid energy-storing system is reconstructed
System power.
3. the controlling party that a kind of energy-storage system based on variation mode decomposition according to claim 1 stabilizes wind power swing
Method, which is characterized in that step (7) specific steps are as follows:
With power-type energy storage t-1 moment SOC value SOC,P(t-1) and t moment power-type energy storage charge state variable quantity DSOC,P(t) it is
Input variable, required DSOC,P(t) it can be calculated by formula (13)；Power instruction adjusted coefficient K p (t) is output variable, utilizes Fuzzy Control
Theoretical correction mixed energy storage system charge-discharge electric power instruction processed；
In formula, Δ t is Period Length, ηcp、ηdpThe respectively charge efficiency and discharging efficiency of power-type energy storage, EPFor power-type storage
It can capacity；
Fuzzy control strategy is as follows:
(1) as power-type energy storage SOC,P(t-1) when moderate, charge and discharge are distributed by initial power；
(2) work as SOC,P(t-1) less than normal and preparation electric discharge or SOC,P(t-1) bigger than normal and when needing to charge, certain power is distributed by energy
Amount type energy storage undertakes；The membership function and fuzzy rule of input quantity and output quantity are as shown in Fig. 2 and table 2；
(3) t moment regulationing factor of power Kp (t) is obtained by fuzzy optimization, revised energy type energy storage charge-discharge electric power and
Power-type energy storage charge-discharge electric power is shown below:
P'E(t)=PE(t)+(1-KP(t))PP(t) (14)
P'P(t)=KP(t)PP(t) (15)。
4. the controlling party that a kind of energy-storage system based on variation mode decomposition according to claim 1 stabilizes wind power swing
Method, which is characterized in that the mixed energy storage system is energy type storage and power-type storage mixing.
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