CN104251184A - Method and system for automatic recommendation of optimal wind power generation set - Google Patents
Method and system for automatic recommendation of optimal wind power generation set Download PDFInfo
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- CN104251184A CN104251184A CN201310268598.8A CN201310268598A CN104251184A CN 104251184 A CN104251184 A CN 104251184A CN 201310268598 A CN201310268598 A CN 201310268598A CN 104251184 A CN104251184 A CN 104251184A
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Abstract
The invention provides a method and a system for automatic recommendation of an optimal wind power generation set and belongs to the technical field of design of a wind power plant. The method comprises the steps of an original data obtaining step: obtaining the original wind measuring data of a region where the wind power plant is positioned; an analysis step: analyzing the obtained original wind measuring data; a wind energy frequency distribution computing step: computing the wind energy frequency distribution of the region where the wind power plant is positioned, wherein the wind energy frequency distribution represents the percentage of wind energy of different wind speeds in a certain time period accounting for the wind energy sum in the certain time period; a generating capacity computing step: computing the theoretical generating capacity of each wind power generation set according to the power curve of each wind power generation set and the wind energy frequency distribution; an optimal set selecting step: selecting the wind power generation set with the highest theoretical generating capacity as the optimal wind power generations set. The method and system solve the technical problem of blindness of selection of the wind power generation set in the prior art, so the accuracy of model selection of the wind power generation set is improved.
Description
Technical field
The present invention relates to wind field design technical field, particularly relate to the method and system of the optimum Wind turbines of a kind of automatic recommendation.
Background technique
Carry out wind energy project, first will carry out wind-resources analysis, determine place, wind energy turbine set place wind regime, its final purpose determines this place wind regime applicable, generated energy and the highest Wind turbines of returns of investment.Thus, whether the quality of Fan Selection, directly affects the bottom line of wind energy project, so the type selecting of Wind turbines is particularly important.
Due in Practical Project, blower fan is of a great variety, in the type selecting process of blower fan, generally by micro-judgment, lacks foundation, and blindness is comparatively strong, and accuracy is poor.
Summary of the invention
The present invention is directed to the problems referred to above, propose a kind of method and system of automatic recommendation Wind turbines, eliminating when carrying out wind energy project design, selecting the blindness of Wind turbines, effectively improve the accuracy of Fan Selection.
For this reason, the present invention proposes the method and system of the optimum Wind turbines of a kind of automatic recommendation.
Described method comprises: initial data obtaining step, obtains the original survey wind data of wind energy turbine set region; Analytical procedure, analyzes the original survey wind data obtained; Wind energy frequency distribution calculation procedure, according to the wind energy frequency distribution of Analysis result calculation wind energy turbine set region, described wind energy frequency distribution represents that the wind energy of different wind speed in a period of time accounts for the percentage of wind energy summation during this period of time; Generated energy calculation procedure, calculates the theoretical generated energy of each Wind turbines according to the power curve of each Wind turbines and described wind energy frequency distribution; Optimum unit obtaining step, is chosen as optimum Wind turbines by Wind turbines the highest for theoretical generated energy.
According to an aspect of the present invention, the method comprises further: determining step, according to the safety class of the analysis result determination wind energy turbine set of analytical procedure; And selection step, according to the safety class of the wind energy turbine set that determining step is determined, select the Wind turbines meeting the requirement of described safety class; In generated energy calculation procedure, wherein only calculate the theoretical generated energy of the Wind turbines selected selected by step.
According to an aspect of the present invention, the formula that described wind energy frequency distribution calculation procedure adopts is:
wherein F(x) represent the wind energy frequency distribution value that wind speed x is corresponding, E(x) representing the wind energy of wind speed x within a period of time, E represents wind energy summation during this period of time.
According to an aspect of the present invention, described a period of time is 1 year.
According to an aspect of the present invention, described generated energy calculation procedure is specially: for each Wind turbines, performance number corresponding to different wind speed is obtained according to the power curve of described Wind turbines, performance number corresponding for identical wind speed and corresponding wind energy frequency distribution value are carried out product and obtains theoretical generated energy corresponding to this wind speed, and theoretical generated energy corresponding for all wind speed is added the theoretical generated energy obtaining each Wind turbines.
Described system comprises: initial data acquisition device, for obtaining the original survey wind data of wind energy turbine set region; Analytical equipment, analyzes for the original survey wind data obtained initial data acquisition device; Wind energy frequency distribution computing device, for the wind energy frequency distribution of the Analysis result calculation wind energy turbine set region according to analytical equipment, described wind energy frequency distribution represents that the wind energy of different wind speed in a period of time accounts for the percentage of wind energy summation during this period of time; Generated energy computing device, for calculating the theoretical generated energy of each Wind turbines according to the power curve of each Wind turbines and described wind energy frequency distribution; Optimum unit acquisition device, for being chosen as optimum Wind turbines by Wind turbines the highest for theoretical generated energy.
According to an aspect of the present invention, this system comprises further: determining device, according to the safety class of the analysis result determination wind energy turbine set of analytical equipment; And selection device, according to the safety class of the wind energy turbine set that determining device is determined, select the Wind turbines meeting the requirement of described safety class; In generated energy computing device, wherein only calculate the theoretical generated energy of the Wind turbines selected by selection device.
According to an aspect of the present invention, the formula that described wind energy frequency distribution computing device adopts is:
wherein F(x) represent the wind energy frequency distribution value that wind speed x is corresponding, E(x) representing the wind energy of wind speed x within a period of time, E represents wind energy summation during this period of time.
According to an aspect of the present invention, described a period of time is 1 year.
According to an aspect of the present invention, described generated energy computing device specifically for: for each Wind turbines, performance number corresponding to different wind speed is obtained according to the power curve of described Wind turbines, performance number corresponding for identical wind speed and corresponding wind energy frequency distribution value are carried out product and obtains theoretical generated energy corresponding to this wind speed, and theoretical generated energy corresponding for all wind speed is added the theoretical generated energy obtaining each Wind turbines.
The present invention adopts wind energy frequency distribution and wind field wind regime to distribute binding analysis optimization technique, compares to all Wind turbines of place, applicable wind energy project place, automatically recommends the optimum blower fan being applicable to wind energy project.Program accuracy rate is high, practical, is most importantly a cancellation when carrying out wind energy project, selects the blindness of Wind turbines, has good propagation and employment and is worth.
Accompanying drawing explanation
Fig. 1 shows the method schematic diagram of the optimum Wind turbines of automatic recommendation proposed by the invention.
Fig. 2 shows system schematic proposed by the invention.
Embodiment
The method of the optimum Wind turbines of the automatic recommendation shown in Fig. 1 starts from step S101.
In step S101, obtain the original survey wind data of wind energy turbine set region.
In step s 102, the original survey wind data that step S101 obtains is analyzed.
In step s 103, according to the safety class of the analysis result determination wind energy turbine set of step S102, described safety class can be I, II, III class.
In step S104, according to the wind energy turbine set safety class that step S103 determines, select all Wind turbines meeting described wind energy turbine set safety class and require, if the safety class of such as wind energy turbine set is II class, then select the Wind turbines of all II class safety classes.
In step S105, according to the wind energy frequency distribution of the Analysis result calculation wind energy turbine set region of step S102; Described wind energy frequency distribution shows the wind energy of (such as 1 year) different wind speed (such as interval 1m/s) in a period of time and accounts for the percentage of wind energy summation during this period of time, is the probability distribution function of corresponding wind speed.Its formula is such as:
Wherein F(x) represent the wind energy frequency distribution value that wind speed x is corresponding, E(x) representing the wind energy of wind speed x within a period of time, E represents wind energy summation during this period of time.
In step s 106, according to the wind energy frequency distribution obtained in the power curve of the Wind turbines selected in step S104 and step S105, the theoretical generated energy of each Wind turbines is calculated.Concrete, described power curve represents the performance number of this Wind turbines under different wind speed.As described above, wind energy frequency distribution represents the probability distribution value that different wind speed is corresponding.Performance number corresponding for identical wind speed and wind energy frequency distribution value are carried out product, the theoretical generated energy that this wind speed is corresponding can be obtained, theoretical generated energy corresponding for all wind speed is added the theoretical generated energy just obtaining described each Wind turbines.
In step s 107, the Wind turbines of theoretical generated energy Choice Theory Energy Maximization of each Wind turbines calculated according to step S106 is optimum unit.
In method proposed by the invention, the one or more of each step can perform in comprehensive server, PC or industrial computer.And some of them step is omissible, such as step S103 and S104.In this case, in step s 106 according to the wind energy frequency distribution value that power curve and the step S105 of all Wind turbines obtain, the theoretical generated energy of all Wind turbines is calculated.In step s 107, the Wind turbines that Choice Theory generated energy is the highest in all Wind turbines is optimum unit.As shown in Figure 1, step S103, both step S104 and step S105 can after step S102 executed in parallel.Certain the present invention does not describe in detail the step such as acquisition, analysis of original survey wind data, and to those skilled in the art, these are all prior aries, therefore repeat no more.
Meanwhile, the invention allows for the system of the optimum Wind turbines of a kind of automatic recommendation.Described system comprises:
Initial data acquisition device, for obtaining the original survey wind data of wind energy turbine set region.
Analytical equipment, analyzes for the original survey wind data obtained initial data acquisition device.
Determining device, for the safety class of the analysis result determination wind energy turbine set according to analytical equipment, described safety class can be I, II, III class.
Selection device, for the wind energy turbine set safety class determined according to determining device, selects all Wind turbines meeting described wind energy turbine set safety class and require, if the safety class of such as wind energy turbine set is II class, then selects the Wind turbines of all II class safety classes.
Wind energy frequency distribution computing device, for the wind energy frequency distribution of the Analysis result calculation wind energy turbine set region according to analytical equipment; Described wind energy frequency distribution shows the wind energy of (such as 1 year) different wind speed (such as interval 1m/s) in a period of time and accounts for the percentage of wind energy summation during this period of time, is the probability distribution function of corresponding wind speed.Its formula is such as:
Wherein F(x) represent the wind energy frequency distribution value that wind speed x is corresponding, E(x) representing the wind energy of wind speed x within a period of time, E represents wind energy summation during this period of time.
Generated energy computing device, for the wind energy frequency distribution that the power curve of Wind turbines selected according to selection device and wind energy frequency distribution computing device obtain, calculates the theoretical generated energy of each Wind turbines.Concrete, described power curve represents the performance number of this Wind turbines under different wind speed.As described above, wind energy frequency distribution represents the probability distribution value that different wind speed is corresponding.Performance number corresponding for identical wind speed and wind energy frequency distribution value are carried out product, the theoretical generated energy that this wind speed is corresponding can be obtained, theoretical generated energy corresponding for all wind speed is added the theoretical generated energy just obtaining described each Wind turbines.
Optimum unit acquisition device, the Wind turbines for the theoretical generated energy Choice Theory Energy Maximization of each Wind turbines calculated according to generated energy computing device is optimum unit.
One or more devices in the system proposed with the present invention can pass through hardware implementing, are such as embodied as corresponding one or more PC, industrial computer, comprehensive server etc.Connect by wired or wireless the transmission realizing communication and data between these devices.Certainly, the same with proposed method, some device is wherein omissible, such as determining device and selection device.In this case, generated energy computing device calculates the theoretical generated energy of all Wind turbines, and optimum unit acquisition device obtains optimum unit in all Wind turbines.
Above-mentioned mode of execution of the present invention is only exemplary embodiment, not as the restriction to method and system proposed by the invention.Such as, each described herein device also can use the realization such as software or firmware, and can exchange to some extent in order between them when needed.
Claims (10)
1. automatically recommend a method for optimum Wind turbines, it is characterized in that, the method comprises:
Initial data obtaining step, obtains the original survey wind data of wind energy turbine set region;
Analytical procedure, analyzes the original survey wind data obtained;
Wind energy frequency distribution calculation procedure, according to the wind energy frequency distribution of Analysis result calculation wind energy turbine set region, described wind energy frequency distribution represents that the wind energy of different wind speed in a period of time accounts for the percentage of wind energy summation during this period of time;
Generated energy calculation procedure, calculates the theoretical generated energy of each Wind turbines according to the power curve of each Wind turbines and described wind energy frequency distribution;
Optimum unit obtaining step, is chosen as optimum Wind turbines by Wind turbines the highest for theoretical generated energy.
2. method according to claim 1, is characterized in that, the method comprises further:
Determining step, according to the safety class of the analysis result determination wind energy turbine set of analytical procedure; And selection step, according to the safety class of the wind energy turbine set that determining step is determined, select the Wind turbines meeting the requirement of described safety class;
In generated energy calculation procedure, wherein only calculate the theoretical generated energy of the Wind turbines selected selected by step.
3. method according to claim 1, is characterized in that:
The formula that described wind energy frequency distribution calculation procedure adopts is:
Wherein F(x) represent the wind energy frequency distribution value that wind speed x is corresponding, E(x) representing the wind energy of wind speed x within a period of time, E represents wind energy summation during this period of time.
4. method according to claim 3, is characterized in that:
Described a period of time is 1 year.
5. method according to claim 1, is characterized in that:
Described generated energy calculation procedure is specially:
For each Wind turbines, performance number corresponding to different wind speed is obtained according to the power curve of described Wind turbines, performance number corresponding for identical wind speed and corresponding wind energy frequency distribution value are carried out product and obtains theoretical generated energy corresponding to this wind speed, and theoretical generated energy corresponding for all wind speed is added the theoretical generated energy obtaining each Wind turbines.
6. automatically recommend a system for optimum Wind turbines, it is characterized in that, this system comprises:
Initial data acquisition device, for obtaining the original survey wind data of wind energy turbine set region;
Analytical equipment, analyzes for the original survey wind data obtained initial data acquisition device;
Wind energy frequency distribution computing device, for the wind energy frequency distribution of the Analysis result calculation wind energy turbine set region according to analytical equipment, described wind energy frequency distribution represents that the wind energy of different wind speed in a period of time accounts for the percentage of wind energy summation during this period of time;
Generated energy computing device, for calculating the theoretical generated energy of each Wind turbines according to the power curve of each Wind turbines and described wind energy frequency distribution;
Optimum unit acquisition device, for being chosen as optimum Wind turbines by Wind turbines the highest for theoretical generated energy.
7. system according to claim 6, is characterized in that, this system comprises further:
Determining device, according to the safety class of the analysis result determination wind energy turbine set of analytical equipment; And selection device, according to the safety class of the wind energy turbine set that determining device is determined, select the Wind turbines meeting the requirement of described safety class;
In generated energy computing device, wherein only calculate the theoretical generated energy of the Wind turbines selected by selection device.
8. system according to claim 6, is characterized in that:
The formula that described wind energy frequency distribution computing device adopts is:
Wherein F(x) represent the wind energy frequency distribution value that wind speed x is corresponding, E(x) representing the wind energy of wind speed x within a period of time, E represents wind energy summation during this period of time.
9. system according to claim 8, is characterized in that:
Described a period of time is 1 year.
10. system according to claim 6, is characterized in that:
Described generated energy computing device specifically for: for each Wind turbines, performance number corresponding to different wind speed is obtained according to the power curve of described Wind turbines, performance number corresponding for identical wind speed and corresponding wind energy frequency distribution value are carried out product and obtains theoretical generated energy corresponding to this wind speed, and theoretical generated energy corresponding for all wind speed is added the theoretical generated energy obtaining each Wind turbines.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107532567A (en) * | 2015-03-20 | 2018-01-02 | 维斯塔斯风力系统集团公司 | Vibration in decay wind turbine |
| CN108205734A (en) * | 2017-12-28 | 2018-06-26 | 华润电力技术研究院有限公司 | A kind of processing method and relevant device of Construction of Wind Power scheme |
| CN108875994A (en) * | 2017-12-25 | 2018-11-23 | 北京金风科创风电设备有限公司 | Evaluation method and device for IGBT combination scheme of wind power converter |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107532567A (en) * | 2015-03-20 | 2018-01-02 | 维斯塔斯风力系统集团公司 | Vibration in decay wind turbine |
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| CN108875994A (en) * | 2017-12-25 | 2018-11-23 | 北京金风科创风电设备有限公司 | Evaluation method and device for IGBT combination scheme of wind power converter |
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