CN108767906A - It is a kind of to consider that the honourable primary frequency modulation spare capacity of cluster electric vehicle determines method - Google Patents
It is a kind of to consider that the honourable primary frequency modulation spare capacity of cluster electric vehicle determines method Download PDFInfo
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- CN108767906A CN108767906A CN201810557328.1A CN201810557328A CN108767906A CN 108767906 A CN108767906 A CN 108767906A CN 201810557328 A CN201810557328 A CN 201810557328A CN 108767906 A CN108767906 A CN 108767906A
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
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Abstract
Considering that the honourable primary frequency modulation spare capacity of cluster electric vehicle determines method the present invention provides a kind of, includes the following steps：Power historical data can be sent out by obtaining wind-powered electricity generation maximum of the wind power plant in one day in each time interval, and be predicted in real time wind power；Photovoltaic plant historical data is obtained, using fuzzy C-means clustering, weather is divided into fine day, partly cloudy, cloudy, overcast and rainy 4 kinds of fundamental types, and predicted in real time photovoltaic output；Photovoltaic under wind power output and each weather condition is gone out force data to arrange from small to large ord respectively, is handled data using quartile method；The wind of abandoning for providing each section respectively abandons light proportionality coefficient；Calculate wind power plant, the respective total spare capacity of photovoltaic plant；Assemble the reliability that quotient provides according to electric vehicle and be more than or equal to the controllable burden of n%, and two parts are divided into according to the spare capacity of wind, light；The controllable burden provided cluster electric vehicle carries out adjusting processing；Wind power plant and the practical spare capacity provided of photovoltaic plant are provided.Using the present invention, spare capacity is being provided simultaneously, reduction abandons wind and abandons light.
Description
Technical field
The present invention relates to honourable primary frequency modulation spare capacity calculating fields, and scene is assisted more particularly to cluster electric vehicle
Power supply participates in the spare capacity computational methods of primary frequency modulation.
Background technology
Wind-powered electricity generation and photovoltaic are used as more promising regenerative resource, the permeability in power grid constantly to increase.Meanwhile considering
A large amount of history output situations of the two often consider that the two, which is bonded wind-light complementary system, to be used.But all due to wind, light
With very strong fluctuation and uncertainty, when dissolving wind-powered electricity generation and photovoltaic there are the problem of it is very much.When traditional fired power generating unit
When use ratio declines, the Primary frequency control ability of electric system will be caused to be affected.Accordingly, it is considered to carry out electricity using wind, light
Force system primary frequency modulation also becomes the popular direction studied at present.
To enable wind, photosystem to carry out primary frequency modulation, needs that Wind turbines and photovoltaic cell off-load is made to run, be power grid
Spare capacity is provided.For Wind turbines, at present more common alternative mean it is proportional abandon wind method, constant abandons wind method etc., can
It is expanded and is applied to wind-solar system.
By taking Wind turbines as an example, two methods are illustrated.The principle that ratio abandons wind method is to abandon wind ratio according to certain
Example, on the basis of the instantaneous maximum of Wind turbines can send out power, provides certain spare capacity, at this time Wind turbines by abandoning wind
In off-load operating status.The spare capacity calculation formula of this method is：
(1)
Wherein,The primary frequency modulation spare capacity provided for wind power plant；To abandon wind proportionality coefficient,；Power can be sent out for the instantaneous maximum of wind-powered electricity generation.
The principle that constant abandons wind method is that the primary frequency modulation that wind power plant provides certain capacity using a certain constant as electric system is standby
With the wind calculation of capacity formula of abandoning of this method is：
(2)
(3)
Wherein,To abandon wind capacity；To abandon wind threshold value.When the instantaneous maximum of wind-powered electricity generation can send out power more than threshold value, carry
Wind capacity is abandoned for constant.
Although constant abandons wind method and is easier to realize for air-blower control, its application may result in wind power plant
Active power output is interrupted, influences the normal operation of wind power plant.And ratio abandons wind method uninterruptedly to provide one for electric system
Secondary frequency modulation spare capacity, and it has been applied to Denmark's wind power plant.Due to needing off-load to run when wind-powered electricity generation participates in primary frequency modulation, lead to
It crosses and abandons wind to provide spare capacity, a degree of waste can be caused on long terms.
Consider by ratio abandon wind method expand be applied to wind-photosystem, proportionally abandon wind method principle, make photovoltaic cell according to
Same method provides primary frequency modulation spare capacity.
In recent years, as extensive electric vehicle accesses power grid so that cluster electric vehicle becomes a kind of in electric system
Novel controllable burden.After the application of extensive electric vehicle, substantial amounts are efficiently used, the electric vehicle of position dispersion participates in electricity
The frequency of net is adjusted, and is played the advantage of its relatively traditional frequency modulation unit, is preferably electric system service, it has also become electric vehicle
One of the Main way of mobile energy storage research.It is also possible to consider that it is enabled to assist wind-solar system, common offer primary frequency modulation standby
Use capacity.How the two is subjected to coordination control so that wind-solar power supply becomes anxious providing spare capacity to reduce to abandon wind and abandon light
Problem to be solved.
Invention content
The purpose of the present invention is to provide a kind of honourable primary frequency modulation spare capacity determination sides considering cluster electric vehicle
Method is providing spare capacity simultaneously, and reduction abandons wind and abandons light.
Considering that the honourable primary frequency modulation spare capacity of cluster electric vehicle determines method the present invention provides a kind of, including with
Lower step：
Step 1：With a predetermined time valueFor time interval, wind-powered electricity generation of the wind power plant in one day in each time interval is obtained most
Power historical data can be sent out greatly, and wind power is predicted in real time；
Step 2：Photovoltaic plant historical data is obtained, using fuzzy C-means clustering, weather is divided into fine day, partly cloudy, cloudy, cloudy
4 kinds of fundamental types of rain, and photovoltaic output is predicted in real time；
Step 3：Wind-powered electricity generation data are arranged from small to large ord, obtain vector, utilize four points
Position method will be vectorialIt is divided into four parts；Meanwhile the photovoltaic plant under four kinds of weather patterns being contributed, above-mentioned quartile is pressed respectively
Method is arranged, is divided；
Step 4：Power difference can be sent out for four part maximum of wind-powered electricity generation, it is also different to provide spare ability, so being given for wind power plant
Go out four and abandons wind proportionality coefficient、、、, wherein>>>；It, need to be to each weather for photovoltaic plant
Under each section provide abandon light proportionality coefficient respectively、、、, wherein coefficient>>>；
Step 5：Wind power plant can send out power selection according to current maximum and abandon wind proportionality coefficient, and photovoltaic plant is according to current weather
Situation and maximum can send out power selection and abandon light ratio, according to formula（1）,（2）The total spare capacity respectively provided, wind power plant are provided
Spare capacity is, photovoltaic plant spare capacity is；
(1)
(2)
Wherein,For the primary frequency modulation spare capacity that wind power plant provides,It is provided for photovoltaic plant
Primary frequency modulation spare capacity；Light proportionality coefficient is abandoned to abandon wind,, wherein formula（1）InIt is selected from、、、In, formula（2）InIt is selected fromIn；Power can be sent out for the instantaneous maximum of wind-powered electricity generation,Power can be sent out for the instantaneous maximum of photovoltaic；
Step 6：Assemble quotient by electric vehicle, it is enabled to provide the cluster that reliability is more than or equal to n% in each time interval
Electric vehicle controllable burden, if controllable burden value is, and it is divided into two according to the ratio of honourable respectively total spare capacity
Point, respectively、；
Step 7：According to electric vehicle frequency response coefficient and wind, light frequency response coefficient, to cluster electric vehicle provide can
Control load is adjusted, and calculation formula is as follows:
(3)
(4)
Wherein,For wind-powered electricity generation frequency response coefficient；For photovoltaic frequency response coefficient；For electric vehicle frequency response system
Number；For the equivalent wind-powered electricity generation spare capacity of electric vehicle；For the equivalent photovoltaic spare capacity of electric vehicle；
Step 8：It calculates and wind, the practical spare capacity provided of light is provided, calculation formula is as follows：
(5)
(6)
Wherein,For the practical spare capacity provided of wind-powered electricity generation,Spare capacity is provided for photovoltaic is practical.
Preferably, in the step 4Interval is obtained according to following formula：
(7)
Wherein,For off-load level；For off-load power；Power can be sent out for maximum；Maximum allowable frequency variation
Amount,<0.5Hz；For system frequency 50Hz;For difference coefficient,；Wherein,；When the ratio of use abandons wind and abandons light method,（1-）As off-load is horizontal,。
Preferably, in the step 6 controllable burden allocation processing is realized using following formula：
(8)
(9)
Wherein, wind power plant spare capacity is, photovoltaic plant spare capacity is,It is controllable negative
Charge values,For wind-powered electricity generation controllable burden value,For photovoltaic controllable burden value.
Preferably, utilize quartile method by the vector in the step 3The step of being divided into four parts in order has
Body is：
For vector, by three quantiles of calculating, divided using quantile, wherein the
Two quantiles are data median, first, third quantile determine that method is as follows：
As n=4k+1, wherein the first quantileWith third quantileIt is calculate by the following formula acquisition：
,；
As n=4k+3, wherein the first quantileWith third quantileIt is calculate by the following formula acquisition：
,。
Implement the embodiment of the present invention, there is the advantageous effect having as follows：
In embodiments of the present invention, for wind power plant, on the basis of conventional proportional abandons wind method, using quartile method, according to not
Same maximum can send out power, appropriate to adjust wind-powered electricity generation spare capacity.For photovoltaic plant, consider its output situation and weather contact compared with
To be close, cluster point can be done by weather difference to photovoltaic plant historical power data first with fuzzy C-means clustering method
Analysis recycles quartile method, can send out power according to the different maximum of photovoltaic plant, adjust photovoltaic plant spare capacity.Meanwhile profit
With cluster electric vehicle, according to current available spare capacity, light ratio is abandoned to abandoning wind and is suitably adjusted, wind-solar system is made
Offer spare capacity can be mutually cooperateed with cluster electric vehicle.
Description of the drawings
Fig. 1 is that a kind of honourable primary frequency modulation spare capacity of consideration cluster electric vehicle provided by the invention determines method
The main flow schematic diagram of one embodiment；
Fig. 2 is the electric vehicle primary frequency modulation characteristic involved in the present invention；
Fig. 3 is that cluster electric vehicle auxiliary wind-solar system of the present invention provides primary frequency modulation spare capacity schematic diagram.
Specific implementation mode
It, below will be to technical scheme of the present invention to keep the purpose, technical scheme and advantage that the present invention is implemented clearer
It is further described in more detail.In the accompanying drawings, same or similar label indicates same or similar element or tool from beginning to end
There is the element of same or like function.The embodiment of the present invention is described in detail below in conjunction with the accompanying drawings.
As shown in Figure 1, be it is provided by the invention it is a kind of consider cluster electric vehicle honourable primary frequency modulation spare capacity it is true
Determine the main flow schematic diagram of one embodiment of method；It combines together shown in Fig. 2 and Fig. 3, in the present embodiment, the consideration collection
The honourable primary frequency modulation spare capacity of group's electric vehicle determines method, includes the following steps：
Step S1：With a predetermined time valueFor time interval, wind-powered electricity generation of the wind power plant in one day in each time interval is obtained most
Power historical data can be sent out greatly, and wind power is predicted in real time；For example, in some instances, the predetermined time value
It can select 15 minutes（min）；
Step S2：Photovoltaic plant historical data is obtained, using fuzzy C-means clustering, weather is divided into fine day, partly cloudy, cloudy, cloudy
4 kinds of fundamental types of rain, and photovoltaic output is predicted in real time；
Step S3：Wind-powered electricity generation data are arranged from small to large ord, obtain vector, utilize four points
Position method will be vectorialIt is divided into four parts；Meanwhile the photovoltaic plant under four kinds of weather patterns being contributed, above-mentioned quartile is pressed respectively
Method is arranged, is divided；
For Wind turbines, since the maximum of day part wind-powered electricity generation in one day can send out power difference, wind power plant provides spare capacity
Ability is also different, while avoiding operation excessively complicated again, selects quartile method, one day power data of wind power plant is divided into four
Point.When Wind turbines output is relatively low, the ability for abandoning wind is limited,Higher value can be taken；When Wind turbines output is higher, abandon
The ability of wind is higher, it is possible to provide more spare capacity,Desirable smaller value.Meeting the same of primary frequency modulation spare capacity needs
When, it also can flexibly control the spare ability of wind power plant primary frequency modulation.
Fuzzy C-means clustering is utilized since weather pattern is affected to photovoltaic output for photovoltaic plant, it will
Weather is divided into fine day, partly cloudy, cloudy, overcast and rainy 4 kinds of fundamental types, is utilized respectively quartile method to each weather pattern and is divided into four
Point.When weather condition be fine day, it is partly cloudy when, can suitably reduce and abandon light ratio, when weather condition be it is cloudy, overcast and rainy when, can be appropriate
Light ratio is abandoned in increase.
Wherein, utilize quartile method by the vector in the step S3The step of being divided into four parts in order is specific
For：
For vector, by three quantiles of calculating, divided using quantile, wherein the
Two quantiles are data median, first, third quantile determine that method is as follows：
As n=4k+1, wherein the first quantileWith third quantileIt is calculate by the following formula acquisition：
,；
As n=4k+3, wherein the first quantileWith third quantileIt is calculate by the following formula acquisition：
,。
Step S4：Power difference can be sent out for four part maximum of wind-powered electricity generation, it is also different to provide spare ability, so being wind-powered electricity generation
Field provides four and abandons wind proportionality coefficient、、、, wherein>>>；It, need to be to each for photovoltaic plant
Each section under weather provides respectively abandons light proportionality coefficient、、、, wherein coefficient>>>；
In this step, when wind-solar system participates in primary frequency modulation, it need to be under off-load operating status, be provided once for system
Frequency modulation spare capacity.In conjunction with the difference coefficient of conventional generator, it may be determined that its off-load is horizontal, and computational methods are as follows：
(8)
Wherein,For off-load level；For off-load power；Power can be sent out for maximum；Maximum allowable frequency variation
Amount, electric system are generally not allowed frequency to fall 0.5Hz；For system frequency 50Hz;For difference coefficient,.It is possible thereby to determine,.When abandoning wind according to ratio and abandoning light method,
（1-）As off-load is horizontal。
In implementation process, respectively each section determines that abandoning wind for one abandons light proportionality coefficient（That is frontExtremely）,。
Step S5：Wind power plant can send out power selection according to current maximum and abandon wind proportionality coefficient, and photovoltaic plant is according to current
Weather condition and maximum can send out power selection and abandon light ratio, according to formula（1）,（2）The total spare capacity respectively provided, wind are provided
Electric field spare capacity is, photovoltaic plant spare capacity is；
(1)
(2)
Wherein,For the primary frequency modulation spare capacity that wind power plant provides,It is provided for photovoltaic plant
Primary frequency modulation spare capacity；Light proportionality coefficient is abandoned to abandon wind,, wherein formula（1）InIt is selected from、、、In, formula（2）InIt is selected fromIn；Power can be sent out for the instantaneous maximum of wind-powered electricity generation,Power can be sent out for the instantaneous maximum of photovoltaic；
Specifically, in this step, it needs to consider the primary frequency modulation characteristic after cluster electric vehicle（As shown in Figure 2）, and
As Fig. 3 system in, quotient is assembled by electric vehicle, the controllable burden value of electric vehicle at this time is obtained, by itself and wind-solar system
Collaborative Control provides spare capacity jointly.
Step S6：Assemble quotient by electric vehicle, it is enabled to provide reliability in each time interval more than or equal to n%'s
Cluster electric vehicle controllable burden, if controllable burden value is, and it is divided into according to the ratio of honourable respectively total spare capacity
Two parts, respectively、；
Step S7：Since cluster electric vehicle is different with the frequency response coefficient of wind-solar system, influence of the unit power to frequency
Also different, it is therefore desirable to electric vehicle controllable burden value to be adjusted, setting method is as follows：
(3)
(4)
Wherein,For wind-powered electricity generation frequency response coefficient；For photovoltaic frequency response coefficient；For electric vehicle frequency response system
Number；For the equivalent wind-powered electricity generation spare capacity of electric vehicle；For the equivalent photovoltaic spare capacity of electric vehicle；
Step S8：It calculates and wind, the practical spare capacity provided of light is provided, calculation formula is as follows：
(5)
(6)
Wherein,For the practical spare capacity provided of wind-powered electricity generation,Spare capacity is provided for photovoltaic is practical.
When actual schedule, according to electric vehicle controllable burden value at this time, carry out adjusting processing, according to formula（5）,（6）Meter
Wind, the practical spare capacity of light are calculated, achievees the purpose that carry out primary frequency modulation using cluster electric vehicle auxiliary wind-solar system so that
Wind-light and electric vehicle can be coordinated to control.
Implement the embodiment of the present invention, there is the advantageous effect having as follows：
In embodiments of the present invention, for wind power plant, on the basis of conventional proportional abandons wind method, using quartile method, according to not
Same maximum can send out power, appropriate to adjust wind-powered electricity generation spare capacity.For photovoltaic plant, consider its output situation and weather contact compared with
To be close, cluster point can be done by weather difference to photovoltaic plant historical power data first with fuzzy C-means clustering method
Analysis recycles quartile method, can send out power according to the different maximum of photovoltaic plant, adjust photovoltaic plant spare capacity.Meanwhile profit
With cluster electric vehicle, according to current available spare capacity, light ratio is abandoned to abandoning wind and is suitably adjusted, wind-solar system is made
Offer spare capacity can be mutually cooperateed with cluster electric vehicle.
It is last it is to be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations.To the greatest extent
Present invention has been described in detail with reference to the aforementioned embodiments for pipe, it will be understood by those of ordinary skill in the art that：It is still
Can be with technical scheme described in the above embodiments is modified, or which part technical characteristic is equally replaced
It changes；And these modifications or replacements, the essence for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution
God and range.
Claims (4)
1. a kind of considering that the honourable primary frequency modulation spare capacity of cluster electric vehicle determines method, which is characterized in that including following
Step：
Step 1：With a predetermined time valueFor time interval, wind-powered electricity generation of the wind power plant in one day in each time interval is obtained most
Power historical data can be sent out greatly, and wind power is predicted in real time；
Step 2：Photovoltaic plant historical data is obtained, using fuzzy C-means clustering, weather is divided into fine day, partly cloudy, cloudy, cloudy
4 kinds of fundamental types of rain, and photovoltaic output is predicted in real time；
Step 3：Wind-powered electricity generation data are arranged from small to large ord, obtain vector, utilize quartile
Method will be vectorialIt is divided into four parts；Meanwhile the photovoltaic plant under four kinds of weather patterns being contributed, above-mentioned quartile method is pressed respectively
It arranged, divided；
Step 4：Power difference can be sent out for four part maximum of wind-powered electricity generation, it is also different to provide spare ability, so being given for wind power plant
Go out four and abandons wind proportionality coefficient、、、, wherein>>>；It, need to be to each weather for photovoltaic plant
Under each section provide abandon light proportionality coefficient respectively、、、, wherein coefficient>>>；
Step 5：Wind power plant can send out power selection according to current maximum and abandon wind proportionality coefficient, and photovoltaic plant is according to current weather
Situation and maximum can send out power selection and abandon light ratio, according to formula（1）,（2）The total spare capacity respectively provided, wind power plant are provided
Spare capacity is, photovoltaic plant spare capacity is；
(1)
(2)
Wherein,For the primary frequency modulation spare capacity that wind power plant provides,It is provided for photovoltaic plant
Primary frequency modulation spare capacity；Light proportionality coefficient is abandoned to abandon wind,, wherein formula（1）InIt is selected from、、、In, formula（2）InIt is selected fromIn；Power can be sent out for the instantaneous maximum of wind-powered electricity generation,Power can be sent out for the instantaneous maximum of photovoltaic；
Step 6：Assemble quotient by electric vehicle, it is enabled to provide the cluster that reliability is more than or equal to n% in each time interval
Electric vehicle controllable burden, if controllable burden value is, and it is divided into two according to the ratio of honourable respectively total spare capacity
Point, respectively、；
Step 7：According to electric vehicle frequency response coefficient and wind, light frequency response coefficient, to cluster electric vehicle provide can
Control load is adjusted, and calculation formula is as follows:
(3)
(4)
Wherein,For wind-powered electricity generation frequency response coefficient；For photovoltaic frequency response coefficient；For electric vehicle frequency response system
Number；For the equivalent wind-powered electricity generation spare capacity of electric vehicle；For the equivalent photovoltaic spare capacity of electric vehicle；
Step 8：It calculates and wind, the practical spare capacity provided of light is provided, calculation formula is as follows：
(5)
(6)
Wherein,For the practical spare capacity provided of wind-powered electricity generation,Spare capacity is provided for photovoltaic is practical.
2. the method as described in claim 1, which is characterized in that in the step 4Interval is obtained according to following formula
?：
(7)
Wherein,For off-load level；For off-load power；Power can be sent out for maximum；Maximum allowable frequency variation,<0.5Hz；For system frequency 50Hz;For difference coefficient,；Wherein,；When the ratio of use abandons wind and abandons light method,（1-）As off-load is horizontal,。
3. method as claimed in claim 2, which is characterized in that realize controllable burden point using following formula in the step 6
With processing：
(8)
(9)
Wherein, wind power plant spare capacity is, photovoltaic plant spare capacity is,Controllable burden
Value,For wind-powered electricity generation controllable burden value,For photovoltaic controllable burden value.
4. method as claimed in claim 3, which is characterized in that utilize quartile method by the vector in the step 3According to
Sequence the step of being divided into four parts is specially：
For vector, by calculating three quantiles, divided using quantile, wherein second
Quantile is data median, first, third quantile determine that method is as follows：
As n=4k+1, wherein the first quantileWith third quantileIt is calculate by the following formula acquisition：
,；
As n=4k+3, wherein the first quantileWith third quantileIt is calculate by the following formula acquisition：
,。
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| CN117748545A (en) * | 2024-02-21 | 2024-03-22 | 北京用尚科技股份有限公司 | Electric automobile cluster cooperation type power grid primary frequency modulation method and system |
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| CN109494792A (en) * | 2018-11-21 | 2019-03-19 | 国网青海省电力公司 | Method and device for determining light abandoning electric quantity of photovoltaic power station |
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| CN114142472A (en) * | 2021-12-06 | 2022-03-04 | 浙江华云电力工程设计咨询有限公司 | Wind and light capacity configuration method and system based on mixed Gaussian distribution probability density |
| CN114142472B (en) * | 2021-12-06 | 2023-08-08 | 浙江华云电力工程设计咨询有限公司 | Wind-solar capacity configuration method and system based on mixed Gaussian distribution probability density |
| CN114552604A (en) * | 2022-04-26 | 2022-05-27 | 华中科技大学 | Wind power primary frequency modulation method and system |
| CN114552604B (en) * | 2022-04-26 | 2022-07-15 | 华中科技大学 | Wind power primary frequency modulation method and system |
| CN117748545A (en) * | 2024-02-21 | 2024-03-22 | 北京用尚科技股份有限公司 | Electric automobile cluster cooperation type power grid primary frequency modulation method and system |
| CN117748545B (en) * | 2024-02-21 | 2024-04-16 | 北京用尚科技股份有限公司 | Electric automobile cluster cooperation type power grid primary frequency modulation method and system |
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