CN103206343B - The relatively system and method for Wind turbines type selecting quality - Google Patents
The relatively system and method for Wind turbines type selecting quality Download PDFInfo
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- CN103206343B CN103206343B CN201310135302.5A CN201310135302A CN103206343B CN 103206343 B CN103206343 B CN 103206343B CN 201310135302 A CN201310135302 A CN 201310135302A CN 103206343 B CN103206343 B CN 103206343B
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Abstract
Propose a kind of system and method comparing Wind turbines type selecting quality, belong to technical field of wind power generation.This system comprises wind-resources server, can be connected in wind energy turbine set representative anemometer tower communicatedly to obtain air speed data; Wind turbines server, can be connected to typical Wind turbines in wind energy turbine set communicatedly to obtain operate power data; Integrated application server, is connected with wind-resources server and Wind turbines server by the network equipment, according to described air speed data and operate power data acquisition wind energy turbine set generating efficiency, and judges that Wind turbines type selecting is good and bad based on wind energy turbine set generating efficiency.This programme solves the Wind turbines selection issue how comparing each wind energy turbine set independent of wind-resources condition, has the plurality of advantages such as objective and accurate.
Description
Technical field
The invention belongs to technical field of wind power generation, particularly relate to a kind of system and method comparing Wind turbines type selecting quality.
Background technology
China's wind energy turbine set is distributed more widely, to Qinghai, Xinjiang other Large Scale Wind Farm Integration of hundreds of MW class, to the east of Shanghai Yangshan port Donghai Bridge marine wind electric field, reaches Guangdong tens megawatt Miniature wind electric field in the south, ten million kilowatt of large-scale wind electricity base in north to the Inner Mongol.Zones of different geographic entity, weather conditions are different, and wind-resources condition difference is larger.The principal element affecting wind energy turbine set generated energy is: the type selecting of wind energy resources situation and Wind turbines and layout.For a specific site, its wind energy resources situation is the inherent condition that cannot change, completing wind-resources assessment in strict accordance with design discipline and general technological means utilizes design should be unable to occur larger difference, and really embodying design level and technical capability, the work simultaneously had a direct impact wind field design level is type selecting and the arrangement of Wind turbines.
Performance parameters such as " wind energy turbine set year equivalence hourages at full capacity " and " wind energy turbine set capacity coefficient " conventional in engineering design has only objectively responded the characteristic of regional wind energy resources.If the unified design level adopting above-mentioned two parameters to compare wind energy turbine set in design, then there will be the objective higher situation of the good local These parameters of wind-resources condition, thus show that abundanter its wind field design level of area of wind-resources is higher.This obviously can not real embodiment design effort value and fully reflection designing technique on the impact of engineering, and facts have proved and also not be inconsistent with actual conditions.And, there is not the distributed system that multiple wind energy turbine set is compared automatically in prior art yet, thus can not compare the Wind turbines type selecting of existing wind energy turbine set objective and accurately.As can be seen here, how a kind of comparison system that can automatically run is provided, with objective and accurate the Wind turbines type selecting comparing each wind energy turbine set, thus the wind turbine layout of prompting designer to wind energy turbine set is optimized, finally reaching the object improving wind-powered electricity generation output, wind-powered electricity generation efficiency, is a technical matters urgently to be resolved hurrily.
Summary of the invention
The object of the invention is to the wind energy turbine set for different wind-resources condition, especially to the wind energy turbine set running more than a year, compare after designing, set up a kind of system and method for Wind turbines type selecting quality of more different wind energy turbine set, make the comparison of the Wind turbines type selecting quality wind-resources condition independent of locality, and provide accurately according to optimize the design of wind energy turbine set.
For realizing above object, the present invention proposes a kind of system comparing Wind turbines type selecting quality, and this system comprises: wind-resources server, can be connected in wind energy turbine set representative anemometer tower communicatedly to obtain air speed data; Wind turbines server, can be connected to typical Wind turbines in wind energy turbine set communicatedly to obtain operate power data; Integrated application server, is connected with wind-resources server and Wind turbines server by the network equipment, according to described air speed data and operate power data acquisition wind energy turbine set generating efficiency, and judges that Wind turbines type selecting is good and bad based on wind energy turbine set generating efficiency.
According to an aspect of the present invention, described wind energy turbine set is multiple, and each wind energy turbine set has the wind-resources server corresponding with it and Wind turbines server; Generating efficiency, for obtaining the generating efficiency of multiple wind energy turbine set, carries out sorting or generating efficiency and predetermined threshold value being made comparisons by described integrated application server, sends cue according to sequence or comparative result to Wind turbines server.
According to an aspect of the present invention, described wind-resources server, for the anemometer tower difference of complete a year gathered from representative address place in multiple wind energy turbine set survey wind height by time survey wind time series, and the hub height place wind speed Weibull obtaining each wind energy turbine set accordingly distributes; Described Wind turbines server, for gathering the typical Wind turbines wind speed of complete a year from multiple wind energy turbine set and generated output time series, obtains the actual motion powertrace of the typical Wind turbines of each wind energy turbine set accordingly; Described integrated application server, for obtaining the actual motion powertrace of described hub height place wind speed Weibull distribution and described typical Wind turbines, obtain the generating efficiency of each wind energy turbine set accordingly, and by the generating efficiency line ordering of multiple wind energy turbine set or generating efficiency and predetermined threshold value are made comparisons, send cue according to sequence or comparative result to Wind turbines server.
According to an aspect of the present invention, wind-resources server and Wind turbines server are Small computing devices, comprise harvester and storer.
According to an aspect of the present invention, described wind-resources server, for: according to the wind shear method in following formula obtain complete 1 year of wind-powered machine unit hub At The Height by time survey wind data: V
n/ V
i=(Z
n/ Z
i)
α, wherein: V
n, V
ibe respectively height at Z
n, Z
ithe wind speed at place, α is wind shear exponent; Then obtain hub height place wind speed Weibull to distribute.
According to an aspect of the present invention, described Wind turbines server, for: adopt the process of Bin method to obtain the actual motion powertrace of typical Wind turbines; Wherein said Bin method is that wind speed range is divided into one or more interval according to 0.5m/s interval, and the central value in each interval is the integral multiple of 0.5m/s, and utilizes following formula to obtain mean wind speed and the performance number in each interval respectively:
wherein, V
i, P
ibe respectively i-th interval mean wind speed and performance number; V
n, i, j, P
n, i, jbe respectively wind speed and the power measurement values of i-th after conversion interval jth group; N
ifor falling into the right quantity of i-th interval measurement data.
According to an aspect of the present invention, described integrated application server, for: adopt following formula to obtain theoretical generated energy of different wind energy turbine set year:
wherein: n is Wind turbines number of units; p
iv () is the actual motion powertrace of the i-th typhoon group of motors, be namely the generated output of v at wind speed; f
iv () is the i-th typhoon group of motors hub height place wind velocity distributing paremeter, namely wind speed Weibull distributes; v
1for Wind turbines incision wind speed; v
2for Wind turbines cut-out wind speed; Following formula is adopted to obtain the maximum generating watt of different wind energy turbine set under the Betz limit:
wherein, n is Wind turbines number of units; A is Wind turbines wind sweeping area;
for hub height place annual wind power concentration, its expression formula is:
wherein, ρ is atmospheric density, v
jit is the wind speed of an annual control j hour; Then, following formula is adopted to obtain the wind energy turbine set generating efficiency of different Wind turbines: η=E
th/ E
max, wherein, E
thfor wind energy turbine set year theoretical generated energy; E
maxfor the maximum generating watt under the Betz limit.
The invention allows for a kind of method comparing Wind turbines type selecting quality, it is characterized in that, the method comprises: step 1, the anemometer tower difference of complete a year gathered from representative address place in different wind energy turbine set survey wind height by time survey wind time series, obtain hub height place wind speed Weibull accordingly and distribute; Step 2, gathers the typical Wind turbines wind speed of complete a year from different wind energy turbine set and generated output time series, obtains the actual motion powertrace of typical Wind turbines accordingly; Step 3, distribute according to the described hub height place wind speed Weibull of different wind energy turbine set and the actual motion powertrace of Wind turbines obtain wind energy turbine set year theory generated energy and the Betz limit under maximum generating watt; Step 4, according to year of different wind energy turbine set theoretical generated energy and the Betz limit under maximum generating watt, obtain the generating efficiency of different wind energy turbine set; Step 5, sorts the wind energy turbine set generating efficiency of different Wind turbines, or compares with predetermined threshold value, result is sent to each wind energy turbine set.
According to an aspect of the present invention, step 1 specifically comprises: to by time survey wind time series and carry out on the basis of pre-service and arrangement, adopt the wind shear method in following formula calculate complete 1 year of wind-powered machine unit hub At The Height by time survey wind data: V
n/ V
i=(Z
n/ Z
i)
α, wherein: V
n, V
ibe respectively height at Z
n, Z
ithe wind speed at place, α is wind shear exponent, and its value is relevant with ground surface roughness; Then matching obtains hub height place wind speed Weibull and distributes.
According to an aspect of the present invention, step 2 specifically comprises: carrying out on the basis of pre-service and arrangement to wind speed and generated output time series, the process of Bin method is adopted to obtain the actual motion powertrace of typical Wind turbines, wherein Bin method is that wind speed range is divided into one or more interval according to 0.5m/s interval, the central value in each interval is the integral multiple of 0.5m/s, utilizes following formula to obtain mean wind speed and the performance number in each interval respectively:
wherein, V
i, P
ibe respectively mean wind speed and the performance number of i-th Bin; V
n, i, j, P
n, i, jbe respectively wind speed and the power measurement values of i-th after conversion interval jth group; N
ifor falling into the right quantity of i-th interval measurement data.
According to an aspect of the present invention, step 3 specifically comprises: adopt following formula to obtain theoretical generated energy of different wind energy turbine set year:
wherein: n is Wind turbines number of units; p
iv () is the actual motion powertrace of the i-th typhoon group of motors, be namely the generated output of v at wind speed; f
iv () is the i-th typhoon group of motors hub height place wind velocity distributing paremeter, namely wind speed Weibull distributes; v
1for Wind turbines incision wind speed; v
2for Wind turbines cut-out wind speed, following formula is adopted to obtain the maximum generating watt of different wind energy turbine set under the Betz limit:
wherein, n is Wind turbines number of units; A is Wind turbines wind sweeping area;
for hub height place annual wind power concentration, its expression formula is:
wherein, ρ is atmospheric density, v
jit is the wind speed of an annual control j hour.
According to an aspect of the present invention, step 4 specifically comprises: adopt following formula to obtain the generating efficiency of different wind energy turbine set: η=E
th/ E
max, wherein, E
thfor wind energy turbine set year theoretical generated energy; E
maxfor the maximum generating watt under the Betz limit.
Accompanying drawing explanation
Fig. 1 is the system schematic of the comparison Wind turbines type selecting quality that the present invention proposes;
Fig. 2 is the method flow schematic diagram comparing Wind turbines type selecting quality.
Embodiment
The following stated is better embodiment of the present invention, does not therefore limit protection scope of the present invention.
Fig. 1 is the system schematic comparing Wind turbines type selecting quality.
As shown in Figure 1, described system comprises wind-resources server 101, Wind turbines server 102 and integrated application server 103.Wherein, wind-resources server 101 can be connected to representative anemometer tower 105 in wind energy turbine set communicatedly, Wind turbines server 102 can be connected to typical Wind turbines 106 in wind energy turbine set communicatedly, wind-resources server 101, Wind turbines server 102 are by the network equipment 104, the such as network switch, router etc., be connected with integrated application server 103.
Wind-resources server 101, towards network fiber, anemometer tower 105 difference of complete a year gathered from representative address place in different wind energy turbine set survey wind height by time survey wind time series, obtain hub height place wind speed Weibull accordingly and distribute.Time series is being carried out on the basis of pre-service and arrangement, adopt the wind shear method in following formula calculate complete 1 year of wind-powered machine unit hub At The Height by time survey wind data:
V
n/V
i=（Z
n/Z
i）
α
Wherein: V
n, V
ibe respectively height at Z
n, Z
ithe wind speed at place, α is wind shear exponent, and its value is relevant with ground surface roughness.
Then can obtain hub height place wind speed Weibull to distribute, such as, professional software (as WAsP software etc.) matching can be adopted to obtain.
Wind turbines server 102, towards network fiber, gathers typical Wind turbines 106 wind speed of complete a year from different wind energy turbine set and generated output time series, obtains the actual motion powertrace of typical Wind turbines accordingly.Time series is being carried out on the basis of pre-service and arrangement, adopting the process of Bin method to obtain the actual motion powertrace of typical Wind turbines.
Bin method is that wind speed range is divided into one or more interval (Bin) according to 0.5m/s interval, and the central value of each Bin is the integral multiple of 0.5m/s.Following formula is utilized to obtain mean wind speed and the performance number of each Bin respectively:
Wherein, V
i, P
ibe respectively mean wind speed and the performance number of i-th Bin; V
n, i, j, P
n, i, jbe respectively wind speed and the power measurement values of the jth group of i-th Bin after conversion; N
ifor the quantity that the measurement data falling into i-th Bin is right.
Integrated application server 103, be connected with Wind turbines server 102 with wind-resources server 101 by the network equipment 104, obtain the wind speed Weibull obtained by server 101 and 102 respectively to distribute and the actual motion powertrace of Wind turbines, obtain wind energy turbine set year theory generated energy and the Betz limit under maximum generating watt and wind energy turbine set generating efficiency.
On the basis not considering the impact such as wake flow, adopt following formula to obtain different wind energy turbine set year theoretical generated energy to be:
Wherein: n is Wind turbines number of units; p
iv () is the actual motion powertrace of the i-th typhoon group of motors, be namely the generated output of v at wind speed; f
iv () is the i-th typhoon group of motors hub height place wind velocity distributing paremeter, the wind speed Weibull that namely matching mentioned above obtains distributes; v
1for Wind turbines incision wind speed; v
2for Wind turbines cut-out wind speed.
Following formula is adopted to obtain the maximum generating watt of different wind energy turbine set under the Betz limit:
Wherein, n is Wind turbines number of units; A is Wind turbines wind sweeping area;
for hub height place annual wind power concentration, its expression formula is:
Wherein, ρ is atmospheric density, v
jbe the wind speed of an annual control j hour, within 1 year, total hourage is generally 8760.
Then, following formula is adopted to obtain the wind energy turbine set generating efficiency of different Wind turbines:
η＝E
th/E
max
Wherein, E
thfor wind energy turbine set year theoretical generated energy; E
maxfor the maximum generating watt under the Betz limit.
Integrated application server 103, obtains the wind energy turbine set generating efficiency of different wind energy turbine set (different wind-resources condition, different Wind turbines type) respectively, by the size of evaluation, from big to small, and auto-sequencing.Last in different wind energy turbine set, the wind energy turbine set of recommending out numerical value maximum is as the most successful wind energy turbine set of Wind turbines type selecting.
Integrated application server 103 is the wind energy turbine set generating efficiency of more different wind energy turbine set and predetermined threshold value also, such as 60%, when wind energy turbine set generating efficiency is less than this threshold value, integrated application server 103 sends cue to Wind turbines server 102, and prompting designer should adjust the wind turbine layout of wind energy turbine set.
Wind-resources server 101 and Wind turbines server 102 can be Small computing devices, are arranged in anemometer tower and the Wind turbines place of each wind energy turbine set, such as back yard industry computing machine, can be special purpose computer or PC etc. certainly.It has harvester and storer, gather respectively and the difference storing a year survey wind height by time survey wind time series and wind speed and generated output time series.Integrated application server 103 periodically can initiate the comparison to Wind turbines, such as with year, season or the moon for the cycle initiate compare, and comparative result can be sent to each wind energy turbine set, such as, send to Wind turbines server 102, wind-resources server 101 or other equipment.Like this, designer just can adjust wind turbine layout according to the generating efficiency of oneself wind energy turbine set.Certainly, comparison procedure also can be started by designer as required voluntarily.
Fig. 2 shows the schematic flow sheet comparing Wind turbines type selecting quality.
Step S101, the anemometer tower difference of complete a year gathered from representative address place in different wind energy turbine set survey wind height by time survey wind time series, obtain hub height place wind speed Weibull accordingly and distribute.Concrete, time series is being carried out on the basis of pre-service and arrangement, adopt the wind shear method in following formula calculate complete 1 year of wind-powered machine unit hub At The Height by time survey wind data:
V
n/V
i=（Z
n/Z
i）
α
Wherein: V
n, V
ibe respectively height at Z
n, Z
ithe wind speed at place, α is wind shear exponent, and its value is relevant with ground surface roughness.
Then matching obtains hub height place wind speed Weibull and distributes, such as can adopt professional software (as WAsP software etc.) obtain as described in wind speed Weibull distribute.
Step S102, gathers the typical Wind turbines wind speed of complete a year from different wind energy turbine set and generated output time series, obtains the actual motion powertrace of typical Wind turbines accordingly.Concrete, time series is being carried out on the basis of pre-service and arrangement, adopting the process of Bin method to obtain the actual motion powertrace of typical Wind turbines.
Bin method is that wind speed range is divided into one or more interval (Bin) according to 0.5m/s interval, and the central value of each Bin is the integral multiple of 0.5m/s.Following formula is utilized to obtain mean wind speed and the performance number of each Bin respectively:
Wherein, V
i, P
ibe respectively mean wind speed and the performance number of i-th Bin; V
n, i, j, P
n, i, jbe respectively wind speed and the power measurement values of the jth group of i-th Bin after conversion; N
ifor the quantity that the measurement data falling into i-th Bin is right.
Step S103, distribute according to described hub height place wind speed Weibull and the actual motion powertrace of Wind turbines obtain wind energy turbine set year theory generated energy and the Betz limit under maximum generating watt.
On the basis not considering the impact such as wake flow, adopt following formula to obtain different wind energy turbine set year theoretical generated energy to be:
Wherein: n is Wind turbines number of units; p
iv () is the actual motion powertrace of the i-th typhoon group of motors, be namely the generated output of v at wind speed; f
iv () is the i-th typhoon group of motors hub height place wind velocity distributing paremeter, the wind speed Weibull that namely matching mentioned above obtains distributes; v
1for Wind turbines incision wind speed; v
2for Wind turbines cut-out wind speed.
Following formula is adopted to obtain the maximum generating watt of different wind energy turbine set under the Betz limit:
Wherein, n is Wind turbines number of units; A is Wind turbines wind sweeping area;
for hub height place annual wind power concentration, its expression formula is:
Wherein, ρ is atmospheric density, v
jbe the wind speed of an annual control j hour, within 1 year, total hourage is generally 8760.
Step S104, according to year of wind energy turbine set theoretical generated energy and the Betz limit under maximum generating watt, obtain the generating efficiency of different wind energy turbine set.
Following formula is adopted to obtain the wind energy turbine set generating efficiency of different Wind turbines:
η＝E
th/E
max
Wherein, E
thfor wind energy turbine set year theoretical generated energy; E
maxfor the maximum generating watt under the Betz limit.
Step S105, sorts the wind energy turbine set generating efficiency of different Wind turbines, or compares with predetermined threshold value, result is sent to each wind energy turbine set.
Should note; embodiment proposed by the invention and application are only the object of explanation; not as limiting the scope of the invention; those skilled in the art can modify to meet actual needs to the specific embodiment of the present invention; such as, the theoretical generated energy of wind energy turbine set, also can with considering that the net electric generation of wake effect substitutes; obtain other similar index, the program with above describe method can be considered as Same Way.
Claims (11)
1. compare a system for Wind turbines type selecting quality, it is characterized in that, this system comprises:
Wind-resources server, can be connected in wind energy turbine set representative anemometer tower communicatedly to obtain air speed data;
Wind turbines server, can be connected to typical Wind turbines in wind energy turbine set communicatedly to obtain operate power data;
Integrated application server, is connected with wind-resources server and Wind turbines server by the network equipment, according to described air speed data and operate power data acquisition wind energy turbine set generating efficiency, and judges that Wind turbines type selecting is good and bad based on wind energy turbine set generating efficiency, wherein:
Described wind-resources server, for the anemometer tower difference of complete a year gathered from representative address place in multiple wind energy turbine set survey wind height by time survey wind time series, and the hub height place wind speed Weibull obtaining each wind energy turbine set accordingly distributes;
Described Wind turbines server, for gathering the typical Wind turbines wind speed of complete a year from multiple wind energy turbine set and generated output time series, obtains the actual motion powertrace of the typical Wind turbines of each wind energy turbine set accordingly;
Described integrated application server, for obtaining the actual motion powertrace of described hub height place wind speed Weibull distribution and described typical Wind turbines, obtain the generating efficiency of each wind energy turbine set accordingly, and by the generating efficiency line ordering of multiple wind energy turbine set or generating efficiency and predetermined threshold value are made comparisons, send cue according to sequence or comparative result to Wind turbines server.
2. system according to claim 1, is characterized in that:
Described wind energy turbine set is multiple, and each wind energy turbine set has the wind-resources server corresponding with it and Wind turbines server;
Generating efficiency, for obtaining the generating efficiency of multiple wind energy turbine set, carries out sorting or generating efficiency and predetermined threshold value being made comparisons by described integrated application server, sends cue according to sequence or comparative result to Wind turbines server.
3. system according to claim 1, is characterized in that:
Wind-resources server and Wind turbines server are Small computing devices, comprise harvester and storer.
4. system according to claim 1, is characterized in that:
Described wind-resources server, for:
According to the wind shear method in following formula obtain complete 1 year of wind-powered machine unit hub At The Height by time survey wind data:
V
n/V
i＝(Z
n/Z
i)
α，
Wherein: V
n, V
ibe respectively height at Z
n, Z
ithe wind speed at place, α is wind shear exponent;
Then obtain hub height place wind speed Weibull to distribute.
5. system according to claim 1, is characterized in that:
Described Wind turbines server, for:
The process of Bin method is adopted to obtain the actual motion powertrace of typical Wind turbines; Wherein said Bin method is that wind speed range is divided into one or more interval according to 0.5m/s interval, and the central value in each interval is the integral multiple of 0.5m/s, and utilizes following formula to obtain mean wind speed and the performance number in each interval respectively:
Wherein, V
i, P
ibe respectively i-th interval mean wind speed and performance number; V
n, i, j, P
n, i, jbe respectively wind speed and the power measurement values of i-th after conversion interval jth group; N
ifor falling into the right quantity of i-th interval measurement data.
6. system according to claim 1, is characterized in that:
Described integrated application server, for:
Following formula is adopted to obtain theoretical generated energy of different wind energy turbine set year:
Wherein: n is Wind turbines number of units; p
iv () is the actual motion powertrace of the i-th typhoon group of motors, be namely the generated output of v at wind speed; f
iv () is the i-th typhoon group of motors hub height place wind velocity distributing paremeter, namely wind speed Weibull distributes; v
1for Wind turbines incision wind speed; v
2for Wind turbines cut-out wind speed;
Following formula is adopted to obtain the maximum generating watt of different wind energy turbine set under the Betz limit:
Wherein, n is Wind turbines number of units; A is Wind turbines wind sweeping area;
for hub height place annual wind power concentration, its expression formula is:
Wherein, ρ is atmospheric density, v
jit is the wind speed of an annual control j hour;
Then, following formula is adopted to obtain the generating efficiency of different wind energy turbine set:
η＝E
th/E
max，
Wherein, E
thfor wind energy turbine set year theoretical generated energy; E
maxfor the maximum generating watt under the Betz limit.
7. compare a method for Wind turbines type selecting quality, it is characterized in that, the method comprises:
Step 1, the anemometer tower difference of complete a year gathered from representative address place in different wind energy turbine set survey wind height by time survey wind time series, obtain hub height place wind speed Weibull accordingly and distribute;
Step 2, gathers the typical Wind turbines wind speed of complete a year from different wind energy turbine set and generated output time series, obtains the actual motion powertrace of typical Wind turbines accordingly;
Step 3, distribute according to the described hub height place wind speed Weibull of different wind energy turbine set and the actual motion powertrace of Wind turbines obtain wind energy turbine set year theory generated energy and the Betz limit under maximum generating watt;
Step 4, according to year of different wind energy turbine set theoretical generated energy and the Betz limit under maximum generating watt, obtain the generating efficiency of different wind energy turbine set;
Step 5, sorts the wind energy turbine set generating efficiency of different Wind turbines, or compares with predetermined threshold value, result is sent to each wind energy turbine set.
8. method according to claim 7, is characterized in that, step 1 specifically comprises:
To by time survey wind time series and carry out on the basis of pre-service and arrangement, adopt the wind shear method in following formula calculate complete 1 year of wind-powered machine unit hub At The Height by time survey wind data:
V
n/V
i＝(Z
n/Z
i)
α，
Wherein: V
n, V
ibe respectively height at Z
n, Z
ithe wind speed at place, α is wind shear exponent, and its value is relevant with ground surface roughness;
Then matching obtains hub height place wind speed Weibull and distributes.
9. method according to claim 7, is characterized in that, step 2 specifically comprises:
Carrying out on the basis of pre-service and arrangement to wind speed and generated output time series, the process of Bin method is adopted to obtain the actual motion powertrace of typical Wind turbines, wherein Bin method is that wind speed range is divided into one or more interval according to 0.5m/s interval, the central value in each interval is the integral multiple of 0.5m/s, utilizes following formula to obtain mean wind speed and the performance number in each interval respectively:
Wherein, V
i, P
ibe respectively mean wind speed and the performance number of i-th Bin; V
n, i, j, P
n, i, jbe respectively wind speed and the power measurement values of i-th after conversion interval jth group; N
ifor falling into the right quantity of i-th interval measurement data.
10. method according to claim 7, is characterized in that, step 3 specifically comprises:
Following formula is adopted to obtain theoretical generated energy of different wind energy turbine set year:
Wherein: n is Wind turbines number of units; p
iv () is the actual motion powertrace of the i-th typhoon group of motors, be namely the generated output of v at wind speed; f
iv () is the i-th typhoon group of motors hub height place wind velocity distributing paremeter, namely wind speed Weibull distributes; v
1for Wind turbines incision wind speed; v
2for Wind turbines cut-out wind speed,
Following formula is adopted to obtain the maximum generating watt of different wind energy turbine set under the Betz limit:
Wherein, n is Wind turbines number of units; A is Wind turbines wind sweeping area;
for hub height place annual wind power concentration, its expression formula is:
Wherein, ρ is atmospheric density, v
jit is the wind speed of an annual control j hour.
11. methods according to claim 10, it is characterized in that, step 4 specifically comprises:
Following formula is adopted to obtain the generating efficiency of different wind energy turbine set:
η＝E
th/E
max，
Wherein, E
thfor wind energy turbine set year theoretical generated energy; E
maxfor the maximum generating watt under the Betz limit.
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| CN102182629A (en) * | 2011-03-29 | 2011-09-14 | 国网电力科学研究院 | Abandon wind power assessment method based on wind resource real-time measurement data |
| CN202196406U (en) * | 2011-06-27 | 2012-04-18 | 内蒙古电力勘测设计院 | Wind farm design expert system |
| CN203146225U (en) * | 2013-04-18 | 2013-08-21 | 内蒙古电力勘测设计院 | System for comparing advantages and disadvantages of type of wind power generation unit |
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| HU184532B (en) * | 1982-03-26 | 1984-09-28 | Sandor Goetz | Method and electronic device for optimum arranging two- and three dimensional configurations |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102182629A (en) * | 2011-03-29 | 2011-09-14 | 国网电力科学研究院 | Abandon wind power assessment method based on wind resource real-time measurement data |
| CN202196406U (en) * | 2011-06-27 | 2012-04-18 | 内蒙古电力勘测设计院 | Wind farm design expert system |
| CN203146225U (en) * | 2013-04-18 | 2013-08-21 | 内蒙古电力勘测设计院 | System for comparing advantages and disadvantages of type of wind power generation unit |
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