CN102255328A - Method for determining capacity of energy storing device accessed to wind power station based on spectrum analysis - Google Patents
Method for determining capacity of energy storing device accessed to wind power station based on spectrum analysis Download PDFInfo
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- CN102255328A CN102255328A CN2011101037673A CN201110103767A CN102255328A CN 102255328 A CN102255328 A CN 102255328A CN 2011101037673 A CN2011101037673 A CN 2011101037673A CN 201110103767 A CN201110103767 A CN 201110103767A CN 102255328 A CN102255328 A CN 102255328A
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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Abstract
The invention discloses a method for determining capacity of an energy storing device accessed to a wind power station based on spectrum analysis, which is used for selecting the capacity of the energy storing device accurately in accordance with the requirement of the cost performance of the energy storing device, thus ensuring that the wind power station has the output characteristics of general power plants effectively, thereby being capable of carrying out the active power control of a power grid by the wind power station, and improving the power quality of local power grids; and the cost performance of the energy storing device which is accessed to the wind power station is high.
Description
Technical field
The present invention relates to a kind ofly determine that based on spectrum analysis wind energy turbine set inserts the method for energy storage device capacity, belongs to technical field of wind power generation.
Background technology
Wind generating technology is in the present generation of electricity by new energy technology prospect to be arranged most, and uses maximum generation technologies at present, and along with wind energy turbine set increases the weight of at the field of power proportion, people have also had higher requirement to wind generating technology.In recent years, require wind energy turbine set to have meritorious regulating power and earn widespread respect, its settling mode is incorporated enough capacity energy storage devices at wind energy turbine set access point place exactly.Because the uncertainty of wind-resources is very difficult to the quantitative selection of storage device capacity.Also do not have at present the scientific and reasonable quantitative calculation method of a cover, the energy storage device capacity choose normally by rule of thumb or heuristic realizes that the accuracy of energy storage device amount of capacity is difficult to be guaranteed in practical operation.Choose when less than normal when stored energy capacitance, cause the scarce capacity of energy storage device buffering wind energy turbine set power fluctuation, do not reach designing requirement; Choose excessively when stored energy capacitance, can increase unnecessary investment again, its cost performance is reduced.This shows, accurately determine the energy storage device capacity, no matter,, all be of great importance still to its meritorious regulating power to the economy of wind energy turbine set.Therefore be necessary to establish the energy storage device energy rapidly and accurately, effectively improve the wind energy turbine set power out-put characteristic, bring into play the effect of wind power generation in electric power system better according to the algorithm of wind energy characteristic proposition on the spot.
Summary of the invention
The present invention proposes the method that a kind of definite wind energy turbine set inserts the energy storage device capacity, can determine the capacity of energy storage device rapidly and accurately, the capacity that solves wind energy turbine set access energy storage device is accurately estimated problem.
For solving the problems of the technologies described above, the invention provides and a kind ofly determine that based on spectrum analysis wind energy turbine set inserts the method for energy storage device capacity, specifically may further comprise the steps:
1) insert energy storage device wind farm grid-connected some low-pressure side, mild Power Output for Wind Power Field has often it
Advise power plant's output characteristic, and can participate in the meritorious adjusting of electrical network;
2) to selected wind energy turbine set 1 year or the wind power sampled data p that is sent for many years
OutCarry out sum-average arithmetic and calculate the average wind electrical power of sending in the wind-powered electricity generation place
3) wind power sampled data p
OutCarry out fast Fourier transform, obtain the spectrogram of wind power, the frequency f of the corresponding wind power of the transverse axis coordinate of spectrogram
i, the wind power P under the corresponding different frequency of ordinate of orthogonal axes
iSize.For easy analysis, usually spectrogram is carried out coordinate transform, convert its transverse axis to the cycle by frequency f, wherein period T is the 1/f reciprocal of frequency, so just makes that its spectrogram physical significance is clearer and more definite, i.e. wind power P
iWith different cycles T
i=1/f
iCorresponding relation, the wind power of different frequency with its correspondence cycle make sinusoidal variations;
4) with the wind power P in each cycle
iCarry out addition summation, with this be that fiducial value is carried out normalization, having obtained amplitude is the normalization wind power value of the different frequency between 0 to 1.Begin just to have obtained the wind-powered electricity generation energy sum of different frequency range from low frequency (cycle is long) then to high frequency (cycle is short) its power magnitude that adds up one by one
Corresponding relation curve chart with t cycle time;
5) in the above-mentioned relation curve chart, the corresponding cycle length of abscissa, certain E on the ordinate
iBe to be less than or equal to the corresponding cycle t of transverse axis the cycle
iWind-powered electricity generation energy sum account for the percentage of total wind-powered electricity generation energy that send in the wind-powered electricity generation place in a year, (1-E
iWind energy turbine set that this percentage of) * 100% is also corresponding in 1 year can have the probability in percent of conventional power plant output characteristic, when determining the energy storage device capacity, and selected a certain wind-powered electricity generation energy threshold E
i=α is by the pairing t of this threshold value
αCan determine corresponding energy storage device capacity is
Need in addition wind energy turbine set 1 year or several years wind power historical datas that sent or that can send are analyzed, elimination is lower than the incision wind speed, is higher than the wind power of cut-out wind speed respectively, obtains keeping the wind power sampled data p of the correction of wind-powered electricity generation unit operate as normal
Out
The beneficial effect that the present invention reached:
Adopt and proposed by the invention insert the method for energy storage device capacity to determine wind energy turbine set based on spectrum analysis, the capacity that can choose energy storage device rapidly and accurately reaches desired cost performance, thereby guarantee that effectively wind energy turbine set in most of the cases has the output characteristic of conventional power plant, make wind energy turbine set can participate in the meritorious adjusting of electrical network, help to improve the quality of power supply of local electrical network and the stability of system.
Description of drawings
Fig. 1 is sent wind power sampled data p by certain wind energy turbine set in 1 year
Out
Fig. 2 is to wind power sampled data p
OutFast Fourier transform after resulting frequency spectrum.
Fig. 3 is the wind-powered electricity generation energy sum E of different frequency range
iContrast figure with t cycle time.
Embodiment
Below in conjunction with accompanying drawing the present invention is described in further detail.
The principle of the invention for convenience of explanation, here adopted the sampled value of the wind power that certain wind energy turbine set sends in a year, this sampled value is averaged to wind power hourly hour to be the sampling interval, has comprised 8760 hours all wind power data in a year.These wind power data are revised, and the wind power value that elimination is lower than the incision wind speed, be higher than cut-out wind speed has promptly obtained correction wind power data, referring to Fig. 1.
Revised wind power transverse axis is hour to be coordinate, and the longitudinal axis is the mean value of wind power in each hour, adds up by the hour just to have obtained total wind energy in a year, and total wind energy is obtained the average wind electrical power divided by 8760
Fig. 2 does the wind power spectrogram that fast Fourier transform obtains to Fig. 1 correction wind power, obtained the amplitude of the wind power under each secondary frequencies thus, for the ease of actual analysis, often need frequency coordinate axle (x axle) is converted to the cycle reference axis, T=1/f is about to Fig. 2 and is converted to the wind power amplitude and one-to-one relationship between the cycle.
The wind power in each cycle is carried out the addition summation, with this be that fiducial value is carried out normalization, obtain each time amplitude between 0 to 1.From the amplitude of low frequency (cycle is long) beginning, just obtained the corresponding relation figure of energy and cycle time, as Fig. 3 to high frequency (cycle the is short) wind power that adds up one by one.
Referring to Fig. 3, cycle time is more little, its corresponding energy is big more, this illustrates that most of wind-powered electricity generation energy concentration is in short high band cycle time, the share of total wind energy is bigger in this part 1 year of comprising, and along with the increase in cycle, energy reduces gradually, particularly the cycle only accounts for about 30% of total wind energy in a year greater than 120 hours energy, and the power cycle of having only 30% wind energy in promptly 1 year was greater than 120 hours.For example when need certain one-period capsula interna draw together energy account for total wind energy in a year 75% the time, can to have the probability in percent of conventional power plant output characteristic be 75% to wind energy turbine set in just 1 year.At this moment desirable energy threshold α is 0.25, at this moment corresponding cycle t
α=148 hours.So just determined the capacity of energy storage device
Choose in the process actual, except need carry out according to above step, also need consider the transfer efficiency of energy, the problems such as depth of discharge of energy storage device, quantitatively accurate more to guarantee.
Claims (2)
1. one kind is inserted the method for energy storage device capacity based on spectrum analysis to determine wind energy turbine set, it is characterized in that:
1) insert energy storage device wind farm grid-connected some low-pressure side, mild Power Output for Wind Power Field makes it have the conventional power plant output characteristic, and can participate in the meritorious adjusting of electrical network;
2) to selected wind energy turbine set 1 year or the wind power sampled data p that is sent for many years
OutCarry out sum-average arithmetic and calculate the average wind electrical power of sending in the wind-powered electricity generation place
3) to wind power sampled data p
OutCarry out fast Fourier transform, obtain the wind power P of different cycles
iWith its period T
iThe Spectrum Relationship formula and the graph of a relation that are constituted;
4) with the wind power P of different cycles in the wind-powered electricity generation frequency spectrum
iAfter the normalized and add up one by one, obtain the wind-powered electricity generation energy sum E of the different frequency range that sends in the wind-powered electricity generation place
i(0＜E
i＜1) with cycle time t the corresponding relation curve;
5) according to reality to the schedulability of wind-powered electricity generation and the requirement of wind-powered electricity generation economy, at different frequency range wind-powered electricity generation energy sum E
iWith setting wind-powered electricity generation energy threshold α (0＜α＜1) on the pairing curve of t cycle time, by the pairing t of this threshold value
αCan determine corresponding energy storage device capacity is
2. the method that inserts the energy storage device capacity based on spectrum analysis with definite wind energy turbine set according to claim 1, it is characterized in that: in step 2) in, the wind power historical data of will be that being sent to wind energy turbine set 1 year or several years or sending elimination respectively is lower than the incision wind speed, is higher than the wind power of cut-out wind speed, obtains keeping the wind power sampled data p of the correction of wind-powered electricity generation unit operate as normal
Out
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105140940A (en) * | 2015-08-18 | 2015-12-09 | 河海大学 | Method for determining capacity of energy storage device integrated with independent new energy system |
| CN105365589A (en) * | 2015-10-23 | 2016-03-02 | 江南大学 | Capacity measuring method of electric bus energy storage device |
| CN110912162A (en) * | 2018-09-18 | 2020-03-24 | 电力规划总院有限公司 | Method and device for determining scheme of energy storage device |
| CN111492551A (en) * | 2017-12-20 | 2020-08-04 | 维斯塔斯风力系统集团公司 | Adaptive active power control for renewable energy power plants |
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| EP1921738A2 (en) * | 2006-11-10 | 2008-05-14 | REpower Systems AG | Method and device to control a dc-ac converter, particularly for a wind energy plant |
| CN102005771A (en) * | 2010-12-23 | 2011-04-06 | 天津电力设计院 | Energy storage capacity selecting method of wind, photovoltaic and storage micro-grid system |
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| EP1921738A2 (en) * | 2006-11-10 | 2008-05-14 | REpower Systems AG | Method and device to control a dc-ac converter, particularly for a wind energy plant |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105140940A (en) * | 2015-08-18 | 2015-12-09 | 河海大学 | Method for determining capacity of energy storage device integrated with independent new energy system |
| CN105365589A (en) * | 2015-10-23 | 2016-03-02 | 江南大学 | Capacity measuring method of electric bus energy storage device |
| CN111492551A (en) * | 2017-12-20 | 2020-08-04 | 维斯塔斯风力系统集团公司 | Adaptive active power control for renewable energy power plants |
| CN111492551B (en) * | 2017-12-20 | 2023-07-04 | 维斯塔斯风力系统集团公司 | Adaptive active power control for renewable energy power plants |
| CN110912162A (en) * | 2018-09-18 | 2020-03-24 | 电力规划总院有限公司 | Method and device for determining scheme of energy storage device |
| CN110912162B (en) * | 2018-09-18 | 2021-05-07 | 电力规划总院有限公司 | Method and device for determining scheme of energy storage device |
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| CN102255328B (en) | 2013-07-10 |
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Effective date of registration: 20121022 Address after: 210029 No. 243 Fenghuang West Street, Jiangsu, Nanjing Applicant after: Jiangou Provincial Power Test Inst Co., Ltd. Applicant after: Jiangsu Electric Power Company Applicant after: State Grid Corporation of China Address before: 210029 No. 243 Fenghuang West Street, Jiangsu, Nanjing Applicant before: Jiangou Provincial Power Test Inst Co., Ltd. |
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Effective date of registration: 20130128 Address after: 210036 Fenghuang West Street, Jiangsu, Nanjing, China, No. 243 Applicant after: Electric Power Research Institute of Jiangsu Electric Power Company Applicant after: Jiangsu Electric Power Company Applicant after: State Grid Corporation of China Address before: 210029 No. 243 Fenghuang West Street, Jiangsu, Nanjing Applicant before: Jiangou Provincial Power Test Inst Co., Ltd. |
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