CN110460108A - A kind of smooth new energy goes out the energy storage Optimal Configuration Method of fluctuation - Google Patents
A kind of smooth new energy goes out the energy storage Optimal Configuration Method of fluctuation Download PDFInfo
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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
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Abstract
The present invention relates to the energy storage Optimal Configuration Methods that a kind of smooth new energy goes out fluctuation, comprising the following steps: S1, sample data selection；S2, sample data analysis；S3, energy storage rated power is determined；S4, energy storage rated capacity is determined；S5, energy storage original state is determined.The energy storage Optimal Configuration Method that smooth new energy of the invention goes out fluctuation is distributed rationally applied to energy storage, and good economy performance, calculation amount is small, and calculating speed is fast, can effectively smooth new energy go out fluctuation.
Description
Technical field
The present invention relates to energy storage to distribute technical field rationally, and in particular to a kind of energy storage that smooth new energy goes out fluctuation is excellent
Change configuration method.
Background technique
With the increasingly exhaustion of traditional fossil energy resource, the utilization and development of renewable new energy are cured in countries in the world
Hair is paid attention to.And as new-energy grid-connected scale constantly increases, the fluctuation of new energy power output and it is intermittent the features such as to power grid
Safe and stable operation causes greater impact.And the ability that energy storage device quickly adjusts charge-discharge electric power by it becomes at present
One of the effective means of new energy power output fluctuation problem is solved, energy storage configuration capacity is bigger, new energy power output smoothing fluctuations effect
It is better, but cost needed for energy storage configuration can also greatly increase, therefore can coordinate the two interests there is an urgent need to study one kind
Contradictory energy storage Optimal Configuration Method.It can be seen that research energy storage Optimal Configuration Method builds economic benefit for improving energy storage
It has very important significance with the operation of power networks reliability under enhancing new-energy grid-connected.
Currently, being usually used in the method that energy storage is distributed rationally mainly stabilizes analytic approach, economic performance by difference penalty method, fluctuation
Optimization etc..Difference penalty method, which refers to through energy storage power output, to be compensated between new energy real output and target output
Difference, although and determine therefrom that the distributing rationally as a result, this method calculates simple of energy storage, do not account for actual motion
The dynamic change of stored energy capacitance, configuration result are not economical enough in the process.Fluctuation stabilizes analytic approach mainly according to energy-storage system to wave
The effect of stabilizing of dynamic power carries out distributing rationally for energy storage system capacity, but compensation frequency range is inaccurate, and configuration result is difficult to
Convergence.Economic performance optimization is mainly by establishing objective function and constraint condition, using energy storage system capacity as therein
Optimized variable optimizes, at present there is no standard unified objective function and derivation algorithm, and need to establish it is a variety of about
Beam condition, calculating process is complicated, and calculating speed is slow.
Summary of the invention
The present invention is not economical enough in order to overcome existing energy storage Optimal Configuration Method, calculating process complexity and calculating speed
Slow problem provides the energy storage Optimal Configuration Method that a kind of smooth new energy goes out fluctuation, and good economy performance, calculation amount is small, can
Effectively smooth new energy goes out fluctuation.
In order to solve the above technical problems, the present invention the following technical schemes are provided:
A kind of smooth new energy goes out the energy storage Optimal Configuration Method of fluctuation, comprising the following steps:
S1: sample data selection；
S2: sample data analysis；
S3: energy storage rated power is determined；
S4: energy storage rated capacity is determined；
S5: energy storage original state is determined.
The present invention first chooses the sample data of new energy power output, then carries out spectrum analysis to sample data,
The vibration frequency range of new energy power output is obtained, secondly, grid-connected interconnection tie power fluctuation constraint is considered, according to fixed fluctuation
Frequency range chooses low-pass filtering cutoff frequency using examination frequency method, obtains being filtered and modified grid-connected dominant eigenvalues and storage
Energy charge-discharge electric power, finally considers charge and discharge Constraints of Equilibrium and energy storage charge state constraint, successively determines that the energy storage after optimization is matched
It sets as a result, including energy storage rated power, rated capacity and initial state-of-charge, smooth new energy of the invention goes out the storage of fluctuation
Energy Optimal Configuration Method is distributed rationally applied to energy storage, and economical good, calculation amount is small, and calculating speed is fast and can effectively put down
The characteristics of sliding new energy goes out fluctuation.
Further, sample data selection in step sl refers to that the typical sample data to new energy power output are selected
It selects, sample data selection selects two parts comprising sample data sampling period and sample data length, according to Shannon's sampling theorem,
Without loss of generality, select the sample data sampling period for 5min；Selection for sample data length, if energy storage is for smooth short
When power swing, 1h may be selected in sample data length；If power swing when energy storage is used for smooth long, sample data length may be selected
1d；If new energy is contributed, seasonal fluctuation is larger, can choose the typical day data of Various Seasonal (summer, winter)；If day, data were random
Property is also larger, and time span can be extended to 1 week or January；Some energy storage only use (such as wet season, low water in specific season
Season), then the season data of new energy can be chosen, the accuracy of entire configuration method is substantially increased.
Further, in step s 2, spectrum analysis is carried out to sample data by discrete Fourier transform, obtains new energy
The amplitude-frequency characteristic of source power output is shown below:
In above formula, N is sampling sum；I is the sampling each point in time domain；δ is the sampling each point in frequency domain；E is nature pair
Several truth of a matter；J is imaginary unit；π is pi；The main frequency of new energy power output power swing can be obtained by the above amplitude-frequency characteristic
Rate range [wmin, wmax], wmin, wmaxThe respectively lower limit value and upper limit value of vibration frequency range, improves the section of configuration method
The property learned.
Further, in step s3, determine that specific step is as follows for energy storage rated power:
S3.1: determining the cutoff frequency of first-order low-pass wave, and using first-order low-pass wave principle, selection had both been able to satisfy fluctuation
It is required that stored energy capacitance and cutoff frequency small as far as possible, are positive with energy storage discharge power, charge power is negative, and energy storage dress can be obtained
Set compensation power, relational expression that grid-connected dominant eigenvalues and new energy go out activity of force it is as follows:
In above formula, PLFor the dominant eigenvalues of new-energy grid-connected；PDGGo out activity of force for new energy；PSFunction is compensated for energy storage
Rate；ωcutFor low-pass first order filter cutoff frequency；S is complex frequency；S=j ω is substituted into relational expression, obtains the following institute of amplitude-frequency characteristic
Show:
In above formula, ω is new energy power output power swing frequency；
In new energy power output power swing frequency range [wmin, wmax] in, cutoff frequency ω is determined using examination frequency methodcut；From
Low frequency starts gradually to try to high frequency, and the interconnection tie power fluctuation rate exported after filtering is less than and constrains item close to power swing
When part, corresponding cutoff frequency is final ideal value, the following institute of power swing constraint condition expression formula at this time for output
Show:
In above formula, PFtIndicate the interconnection tie power fluctuation rate in the t period；It respectively indicates in the t period
Maximum and minimum dominant eigenvalues；PNFor the rated power of new energy power output；PFmaxFor the threshold limit value of power swing rate, to make
Power curve improves the economy of energy storage configuration while meeting flat volatility requirement, chooses PFmaxValue is 8%, at each
In continuous time period T,Calculating formula is as follows:
In above formula,Maximum and minimum output power in respectively every 1 continuous time period T；k
Indicate the every 1 continuous period starting point since the 1st sampled data, wherein T/TsIt is rounded；TsWeek is sampled for sample data
Phase；N is sampling number；
S3.2: determining that energy storage rated power, energy storage rated power are the maximum value of compensation power absolute value needed for energy storage,
Calculating formula is as follows:
In above formula, PSNFor energy storage rated power；PS[i] is to consider that the energy storage of efficiency for charge-discharge is real under ith sample point
When compensate power, energy storage compensation power needs to meet the constraint of discharge and recharge equilibrium, i.e., within the whole service period, energy storage is filled only
The sum of discharge electricity amount is 0, and constraint expression formula is as follows:
The good economy performance of entire energy storage Optimal Configuration Method, reduces calculation amount, simplifies calculating process, improve calculating
Speed also improves the accuracy of entire method.
Further, in step s 4, determine that specific step is as follows for energy storage rated capacity:
S4.1: calculating the real-time discharge and recharge of energy storage, and the calculating formula of the real-time discharge and recharge of energy storage is as follows:
In above formula, E [i] is discharge and recharge of the energy storage in the i period, and positive value is discharge capacity, and negative value is charge volume；TsFor sample
It is kWh that the notebook data sampling period, which is the electric quantity unit for obtaining time conversion at hour divided by 3600,；
S4.2: energy storage rated capacity, energy storage rated capacity E are calculatedNCalculating formula it is as follows:
In above formula, SOCmaxAnd SOCminFor the threshold limit value and most of energy storage charge state (SOC, state of charge)
Small limit value.
Further, in step s 5, the original state SOC of energy storage0It is acquired by following calculating formula:
As long as adjusting energy storage original state to SOC0, the charge-discharge power demand in the entire sampling period can be met, had
Higher economy, and accuracy is high, it is scientific high, can effectively smooth new energy go out fluctuation.
Compared with prior art, the invention has the following advantages:
The present invention first chooses the sample data of new energy power output, proposes specimen sample period and sample data
Then the determination method of length carries out spectrum analysis to sample data using discrete Fourier transform, obtains new energy power output
Vibration frequency range, secondly, grid-connected interconnection tie power fluctuation constraint is considered, according to fixed vibration frequency range using examination frequency
Method chooses low-pass filtering cutoff frequency, obtains being filtered and modified grid-connected dominant eigenvalues and energy storage charge-discharge electric power, most
Charge and discharge Constraints of Equilibrium and energy storage charge state constraint are considered afterwards, successively determine the energy storage configuration result after optimization, including energy storage
Rated power, rated capacity and initial state-of-charge.Smooth new energy of the invention goes out the energy storage Optimal Configuration Method of fluctuation
Distributed rationally applied to energy storage, good economy performance, calculation amount is small, and calculating speed is fast, can effectively smooth new energy go out fluctuation.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
Attached drawing obtains other attached drawings.
Fig. 1 is the flow chart for the energy storage Optimal Configuration Method that a kind of smooth new energy of the present invention goes out fluctuation.
The typical power curve that Fig. 2 runs for wind-solar-storage joint after the configuration energy storage of embodiment two；
Fig. 3 is that the configuration energy storage front and back new energy of embodiment two goes out fluctuation comparison diagram.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's all other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
The embodiment of the present invention includes:
Embodiment one:
As shown in Figure 1, a kind of smooth new energy goes out the energy storage Optimal Configuration Method of fluctuation, comprising the following steps:
S1: sample data selection；
S2: sample data analysis；
S3: energy storage rated power is determined；
S4: energy storage rated capacity is determined；
S5: energy storage original state is determined.
The present invention first chooses the sample data of new energy power output, then carries out spectrum analysis to sample data,
The vibration frequency range of new energy power output is obtained, secondly, grid-connected interconnection tie power fluctuation constraint is considered, according to fixed fluctuation
Frequency range chooses low-pass filtering cutoff frequency using examination frequency method, obtains being filtered and modified grid-connected dominant eigenvalues and storage
Energy charge-discharge electric power, finally considers charge and discharge Constraints of Equilibrium and energy storage charge state constraint, successively determines that the energy storage after optimization is matched
It sets as a result, including energy storage rated power, rated capacity and initial state-of-charge, smooth new energy of the invention goes out the storage of fluctuation
Energy Optimal Configuration Method is distributed rationally applied to energy storage, and economical good, calculation amount is small, and calculating speed is fast and can effectively put down
The characteristics of sliding new energy goes out fluctuation.
In the present embodiment, in step sl sample data selection refer to new energy power output typical sample data into
Row selection, sample data selection select two parts comprising sample data sampling period and sample data length, are sampled according to Shannon
Theorem selects the sample data sampling period for 5min without loss of generality；Selection for sample data length, if energy storage is used for
1h may be selected in smooth short-time rating fluctuation, sample data length；Power swing when if energy storage is used for smooth long, sample data length
1d may be selected；If new energy is contributed, seasonal fluctuation is larger, can choose the typical day data of Various Seasonal (summer, winter)；If number of days
It is also larger according to randomness, time span can be extended to 1 week or January；Some energy storage only use (such as abundance of water in specific season
Season, dry season), then the season data of new energy can be chosen, the accuracy of entire configuration method is substantially increased.
In the present embodiment, in step s 2, spectrum analysis is carried out to sample data by discrete Fourier transform, obtained
The amplitude-frequency characteristic of new energy power output is shown below:
In above formula, N is sampling sum；I is the sampling each point in time domain；δ is the sampling each point in frequency domain；E is nature pair
Several truth of a matter；J is imaginary unit；π is pi；The main frequency of new energy power output power swing can be obtained by the above amplitude-frequency characteristic
Rate range [wmin, wmax], wmin, wmaxThe respectively lower limit value and upper limit value of vibration frequency range, improves the section of configuration method
The property learned.
In the present embodiment, in step s3, determine that specific step is as follows for energy storage rated power:
S3.1: determining the cutoff frequency of first-order low-pass wave, and using first-order low-pass wave principle, selection had both been able to satisfy fluctuation
It is required that stored energy capacitance and cutoff frequency small as far as possible, are positive with energy storage discharge power, charge power is negative, and energy storage dress can be obtained
Set compensation power, relational expression that grid-connected dominant eigenvalues and new energy go out activity of force it is as follows:
In above formula, PLFor the dominant eigenvalues of new-energy grid-connected；PDGGo out activity of force for new energy；PSFunction is compensated for energy storage
Rate；ωcutFor low-pass first order filter cutoff frequency；S is complex frequency；S=j ω is substituted into relational expression, obtains the following institute of amplitude-frequency characteristic
Show:
In above formula, ω is new energy power output power swing frequency；
In new energy power output power swing frequency range [wmin, wmax] in, cutoff frequency ω is determined using examination frequency methodcut；From
Low frequency starts gradually to try to high frequency, and the interconnection tie power fluctuation rate exported after filtering is less than and constrains item close to power swing
When part, corresponding cutoff frequency is final ideal value, the following institute of power swing constraint condition expression formula at this time for output
Show:
In above formula, PFtIndicate the interconnection tie power fluctuation rate in the t period；It respectively indicates in the t period
Maximum and minimum dominant eigenvalues；PNFor the rated power of new energy power output；PFmaxFor the threshold limit value of power swing rate, to make
Power curve improves the economy of energy storage configuration while meeting flat volatility requirement, chooses PFmaxValue is 8%, at each
In continuous time period T,Calculating formula is as follows:
In above formula,Maximum and minimum output power in respectively every 1 continuous time period T；k
Indicate the every 1 continuous period starting point since the 1st sampled data, wherein T/TsIt is rounded；TsWeek is sampled for sample data
Phase；N is sampling number；
S3.2: determining that energy storage rated power, energy storage rated power are the maximum value of compensation power absolute value needed for energy storage,
Calculating formula is as follows:
In above formula, PSNFor energy storage rated power；PS[i] is to consider that the energy storage of efficiency for charge-discharge is real under ith sample point
When compensate power, energy storage compensation power needs to meet the constraint of discharge and recharge equilibrium, i.e., within the whole service period, energy storage is filled only
The sum of discharge electricity amount is 0, and constraint expression formula is as follows:
The good economy performance of entire energy storage Optimal Configuration Method, reduces calculation amount, simplifies calculating process, improve calculating
Speed also improves the accuracy of entire method.
In the present embodiment, in step s 4, determine that specific step is as follows for energy storage rated capacity:
S4.1: calculating the real-time discharge and recharge of energy storage, and the calculating formula of the real-time discharge and recharge of energy storage is as follows:
In above formula, E [i] is discharge and recharge of the energy storage in the i period, and positive value is discharge capacity, and negative value is charge volume；TsFor sample
It is kWh that the notebook data sampling period, which is the electric quantity unit for obtaining time conversion at hour divided by 3600,；
S4.2: energy storage rated capacity, energy storage rated capacity E are calculatedNCalculating formula it is as follows:
In above formula, SOCmaxAnd SOCminFor the threshold limit value and most of energy storage charge state (SOC, state of charge)
Small limit value.
In the present embodiment, in step s 5, the original state SOC of energy storage0It is acquired by following calculating formula:
As long as adjusting energy storage original state to SOC0, the charge-discharge power demand in the entire sampling period can be met, had
Higher economy, and accuracy is high, it is scientific high, can effectively smooth new energy go out fluctuation.
Embodiment two:
On the basis of example 1, the energy storage side of distributing rationally of fluctuation is gone out using the smooth new energy in embodiment one
Method is illustrated, and choosing certain small-sized local power distribution network containing wind-power electricity generation and photovoltaic power generation is example, takes its 1 day 6:00 AM extremely
18 points of photovoltaic, wind-power electricity generation data at night, as shown in Fig. 2, output power of wind power generation and photovoltaic power generation are defeated after configuration energy storage
Power swing achieves preferable smooth effect out.
As shown in figure 3, to go out fluctuation very violent for new energy before configuration energy storage, stability bandwidth is maximum generally 10% or more
Up to 16.5%, greater impact is produced to grid entry point voltage in actual motion, is introduced after energy storage smoothing processing, maximum fluctuation
Rate is reduced to 7.8%, effectively inhibits honourable fluctuation, realizes the smooth grid-connected of active power, improves the electricity of injection power grid
Energy quality, the grid-connected dominant eigenvalues waveform compensated by energy storage are as shown in phantom in Figure 3.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright description is applied directly or indirectly in other relevant technology necks
Domain is included within the scope of the present invention.
Claims (6)
1. the energy storage Optimal Configuration Method that a kind of smooth new energy goes out fluctuation, which comprises the following steps:
S1: sample data selection；
S2: sample data analysis；
S3: energy storage rated power is determined；
S4: energy storage rated capacity is determined；
S5: energy storage original state is determined.
2. the energy storage Optimal Configuration Method that smooth new energy according to claim 1 goes out fluctuation, which is characterized in that in step
Sample data selection in rapid S1 refers to that the typical sample data to new energy power output select, and sample data selection includes sample
Notebook data sampling period and sample data length select two parts.
3. the energy storage Optimal Configuration Method that smooth new energy according to claim 1 goes out fluctuation, which is characterized in that in step
In rapid S2, spectrum analysis is carried out to sample data by discrete Fourier transform, the amplitude-frequency characteristic for obtaining new energy power output is as follows
Shown in formula:
In above formula, N is sampling sum；I is the sampling each point in time domain；δ is the sampling each point in frequency domain；E is natural logrithm
The truth of a matter；J is imaginary unit；π is pi；The main frequency model of new energy power output power swing can be obtained by the above amplitude-frequency characteristic
Enclose [wmin, wmax], wmin, wmaxThe respectively lower limit value and upper limit value of vibration frequency range.
4. the energy storage Optimal Configuration Method that smooth new energy according to claim 1 goes out fluctuation, which is characterized in that in step
In rapid S3, determine that specific step is as follows for energy storage rated power:
S3.1: determining the cutoff frequency of first-order low-pass wave, and using first-order low-pass wave principle, selection had both been able to satisfy fluctuation and has wanted
It asks, stored energy capacitance and cutoff frequency small as far as possible are positive, charge power is negative, and energy storage device can be obtained with energy storage discharge power
The relational expression that compensation power, grid-connected dominant eigenvalues and new energy go out activity of force is as follows:
In above formula, PLFor the dominant eigenvalues of new-energy grid-connected；PDGGo out activity of force for new energy；PSPower is compensated for energy storage；ωcut
For low-pass first order filter cutoff frequency；S is complex frequency；S=j ω is substituted into relational expression, it is as follows to obtain amplitude-frequency characteristic:
In above formula, ω is new energy power output power swing frequency；
In new energy power output power swing frequency range [wmin, wmax] in, cutoff frequency ω is determined using examination frequency methodcut；From low frequency
Start gradually to try to high frequency, the interconnection tie power fluctuation rate that exports is less than and close to power swing constraint condition after filtering
When, corresponding cutoff frequency is final ideal value at this time for output, and power swing constraint condition expression formula is as follows:
In above formula, PFtIndicate the interconnection tie power fluctuation rate in the t period；It respectively indicates maximum in the t period
With minimum dominant eigenvalues；PNFor the rated power of new energy power output；PFmaxFor the threshold limit value of power swing rate, to make power
Curve improves the economy of energy storage configuration while meeting flat volatility requirement, chooses PFmaxValue is 8%, continuous at each
In period T,Calculating formula is as follows:
In above formula,Maximum and minimum output power in respectively every 1 continuous time period T；K is indicated
The every 1 continuous period starting point since the 1st sampled data, wherein T/TsIt is rounded；TsFor the sample data sampling period；N is
Sampling number；
S3.2: it determines that energy storage rated power, energy storage rated power are the maximum value of compensation power absolute value needed for energy storage, calculates
Formula is as follows:
In above formula, PSNFor energy storage rated power；PS[i] is to consider that the energy storage of efficiency for charge-discharge is mended in real time under ith sample point
Power is repaid, energy storage compensation power needs to meet the constraint of discharge and recharge equilibrium, i.e., within the whole service period, the net charge and discharge of energy storage
The sum of electricity is 0, and constraint expression formula is as follows:
5. the energy storage Optimal Configuration Method that smooth new energy according to claim 1 goes out fluctuation, which is characterized in that in step
In rapid S4, determine that specific step is as follows for energy storage rated capacity:
S4.1: calculating the real-time discharge and recharge of energy storage, and the calculating formula of the real-time discharge and recharge of energy storage is as follows:
In above formula, E [i] is discharge and recharge of the energy storage in the i period, and positive value is discharge capacity, and negative value is charge volume；TsFor sample number
It is the electric quantity unit for obtaining time conversion at hour divided by 3600 is kWh according to the sampling period；
S4.2: energy storage rated capacity, energy storage rated capacity E are calculatedNCalculating formula it is as follows:
In above formula, SOCmaxAnd SOCminFor the threshold limit value and irreducible minimum of energy storage charge state (SOC, state of charge)
Value.
6. the energy storage Optimal Configuration Method that smooth new energy according to claim 1 goes out fluctuation, which is characterized in that in step
In rapid S5, the original state SOC of energy storage0It is acquired by following calculating formula:
As long as adjusting energy storage original state to SOC0, the charge-discharge power demand in the entire sampling period can be met.
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| CN111146792A (en) * | 2019-12-06 | 2020-05-12 | 华北电力科学研究院有限责任公司 | Power and capacity configuration method and device of hybrid energy storage system |
| CN111817323A (en) * | 2020-07-22 | 2020-10-23 | 国网青海省电力公司清洁能源发展研究院 | Energy storage capacity configuration method and device |
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| CN109802414A (en) * | 2019-01-29 | 2019-05-24 | 国家电网有限公司 | A kind of energy storage configuration method of smooth new energy output-power fluctuation |
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| CN103475015A (en) * | 2013-09-23 | 2013-12-25 | 国家电网公司 | Energy storage configuration method for output fluctuation of smooth grid-connected wind-solar power generation system |
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