CN117313415A - Wind power plant fan blade extension transformation site selection evaluation method, device and storage medium - Google Patents
Wind power plant fan blade extension transformation site selection evaluation method, device and storage medium Download PDFInfo
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Abstract
The invention relates to a wind farm fan blade extension transformation site selection evaluation method, a device and a storage medium, wherein the method comprises the following steps: obtaining a nominal power curve of the wind turbine generator, and obtaining a power generation capacity lifting ratio after the extension of the blade through simulation; acquiring running data of the wind turbine, and obtaining a running power curve of the wind turbine by regression analysis with wind speed as an independent variable and output power of the wind turbine as a dependent variable; dividing wind speed data into wind speed intervals to obtain wind resource probability distribution; based on wind resource probability distribution and nominal power curve of wind turbine, calculating microscopic wind resource index of the position of the wind turbine; defining the power generation capacity index as the inner product of a wind resource probability distribution vector and a wind turbine generator power curve vector, and calculating the increment of the power generation capacity index before and after the extension of the blade; according to the method and the index, the method can provide decision advice for site selection of the extended transformation test points of the fan blade, and has a wide application prospect.
Description
Technical Field
The invention relates to the technical field of wind farm site selection, in particular to a site selection evaluation method and device suitable for wind farm fan blade extension transformation.
Background
Under the background of low carbonization conversion of global energy structures and continuous optimization of energy consumption structures, wind energy gradually becomes one of the most widely developed and applied renewable energy sources by virtue of the advantages of rich total resources, high degree of automation of operation management, continuous reduction of high electricity cost and the like. As early as 2012, the wind power installation in China breaks through 60GW, becomes the first wind power country in the world and keeps up to now, 2021, and the number reaches 328.5GW.
While the installed capacity is increasing, the technical transformation of the existing wind turbine generator set to maximize the power generation capacity, and the improvement of the resource and the equipment utilization efficiency is a non-neglectable task. The wind power station built in the early stage is limited by the design and manufacturing technology level of the wind turbine at the time, and the problems of low available hours, high failure rate, obvious aging situation and the like of the old model are gradually exposed due to the deviation of the microscopic site selection of the wind power station and the design of the wind power station. As the running time increases, the blade leading edge corrosion has a significant effect on the aerodynamic efficiency of the blade, which can further reduce the power generation efficiency of the fan blade. In addition, older models often have larger design margins, and effectively utilizing the design margins through blade extension transformation can significantly increase the wind energy utilization efficiency and improve the yield of owners.
In the prior art, the technology related to site selection focuses on selecting a construction position and a wind turbine generator position before wind power station construction, the technology related to blade extension technical improvement focuses on research on structures and devices, and no related research exists on how to select a first test point when the existing power station is technically improved.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a site selection evaluation method and device suitable for the prolonged transformation of wind power plant fan blades.
The aim of the invention can be achieved by the following technical scheme:
as a first aspect of the invention, a wind farm fan blade extension transformation site selection evaluation method is provided, and the method comprises the following steps:
obtaining a nominal power curve w of the wind turbine generator, and obtaining a power generation capacity lifting ratio eta after the extension of the blade through simulation calculation;
acquiring running data of the wind turbine, and performing regression analysis by taking wind speed as an independent variable and wind turbine output power as a dependent variable after cleaning abnormal data to obtain a running power curve p of the wind turbine 1 ；
Dividing the cleaned wind speed data into wind speed intervals, and counting the occurrence probability of wind speed in each interval to obtain wind resource probability distribution f;
based on the wind resource probability distribution f and a nominal power curve w of the wind turbine units, calculating a microscopic wind resource index of the position of each unit;
operating power curve p based on wind turbine generator system 1 With the power generation capacity lifting proportion eta after the extension of the blades, calculating the power curve p of the wind turbine generator after the extension of the blades 2 Calculating the increment of the power generation capacity index before and after the extension of the blade;
and (3) carrying out fan blade extension transformation test point site selection based on the microcosmic wind resource index of the position of each unit and the increment of the power generation capacity index before and after the blade extension.
Further, the microscopic wind resource index is the inner product of the wind resource probability distribution f and the nominal power curve w of the wind turbine generator.
Further, the power generation capacity index is defined as a wind resource probability distribution vector f and a wind turbine generator set power curve vector p 1 Is a product of the inner product of (a).
Further, the blade increases the power generation capacity index delta G before and after extension idx The method comprises the following steps:
ΔG idx ＝f·p 2 -f·p 1
wherein f is wind resource probability distribution, p 1 And p is as follows 2 And respectively prolonging the power curves of the wind turbine generator before and after the blade.
Further, the acquired running data of the wind turbine generator set is longer than or equal to one month.
Further, when the probability distribution of the wind resource is obtained, a wind speed interval is set according to the accuracy of the collected data.
Further, when the data amount is insufficient, the set wind speed interval is larger than the accuracy of data acquisition.
Further, in the case of data amount reorganization, the set wind speed interval is the same as the accuracy of the acquired data.
As a second aspect of the present invention, there is provided a wind farm fan blade extension modification site selection evaluation device, including a memory, a processor, and a program stored in the memory, wherein the processor implements the wind farm fan blade extension modification site selection evaluation method as described above when executing the program.
As a third aspect of the present invention, there is provided a storage medium having stored thereon a program which, when executed, implements a wind farm fan blade extension retrofit site selection evaluation method as described above.
Compared with the prior art, the invention has the following beneficial effects:
before the fan blade extension technical improvement is implemented, the scheme of the invention selects an demonstration unit for improvement according to the power generation capacities of different fans in the wind power plant and the wind resource conditions of the positions of the fans. And selecting the site of the first transformation test point according to the increment of the power curve, the microcosmic wind resource index and the power generation capacity index before and after the blade is prolonged. And calculating the power generation capacity index of each unit by taking the actual power curve and the wind resource probability distribution into consideration. By analyzing the operation data of the wind turbine generator, the power generation capacity and the wind resource condition of the wind turbine generator are evaluated, advice is provided for selecting a modified demonstration unit, and after data support is obtained and economy is verified, large-scale technical modification of the full wind power station is performed, advice is provided for selecting a modified test point, so that the wind turbine generator has a large application prospect.
Drawings
FIG. 1 is a flow diagram of a site selection evaluation method suitable for prolonged modification of wind farm fan blades according to the present invention;
FIG. 2 is a graph of nominal power supplied by a unit manufacturer;
FIG. 3 is a graph comparing 24 unit power curves of a wind power station with a nominal power curve;
FIG. 4 is a graph of the ordering of the units by microscopic wind resource index;
fig. 5 is a graph of the unit in terms of power generation capacity index increment order.
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples. The present embodiment is implemented on the premise of the technical scheme of the present invention, and a detailed implementation manner and a specific operation process are given, but the protection scope of the present invention is not limited to the following examples.
Example 1:
the invention provides a site selection evaluation method, which evaluates the power generation capacity and wind resource conditions of wind turbine generator by analyzing the running data of the wind turbine generator, selects an demonstration set for modification according to the power generation capacity of different fans in a wind power plant and the wind resource conditions of the positions of the fans before implementing the fan blade extension modification technology, and then carries out large-scale technical modification of the full wind power plant after obtaining data support and verifying economy, thereby providing advice for the selected modification demonstration set and having great application prospect. As shown in fig. 1, the method specifically comprises the following steps:
step 1: providing a nominal power curve (vector w) of the wind turbine by a wind turbine manufacturer, and providing a power generation capacity lifting ratio eta (%) of the prolonged blade by simulation calculation through early-stage scientific research;
step 2: acquiring running data of the wind turbine, cleaning abnormal data, and performing regression analysis by taking wind speed as an independent variable and output power of the wind turbine as a dependent variable to obtain a power curve (vector p 1 )；
Step 3: dividing the wind speed data cleaned in the step 2 into wind speed intervals, and counting the occurrence probability of wind speed in each interval to obtain wind resource probability distribution (vector f);
step 4: calculating a microscopic wind resource index f.w of the position of each unit;
step 5: calculating power curve p of wind turbine generator after blade extension 2 ；
Step 6: defining the power generation capacity index as the inner product of wind resource probability distribution vector and wind turbine generator power curve vector, namely G idx =f·p, then the blade is extended before and after the power generation capability index increment Δg idx ＝f·p 2 -f·p 1 ；
Step 7: and carrying out fan blade extension transformation test point site selection decision according to the obtained microscopic wind resource index of the position of the unit and the increment of the power generation capacity index before and after the blade extension.
Preferentially, in step 2, the running data of the wind turbine should not be less than one month, preferably one quarter;
preferably, in step 3, the wind speed interval is determined according to the accuracy of the acquired data, and should be as small as possible, such as 0.1m/s for data accuracy, 0.5m/s for wind speed interval when the data amount is insufficient, and 0.1m/s for data amount reorganization.
Example 2
This example illustrates the process of a wind power plant when the plant is addressed by a pilot unit, and mainly comprises:
step 1: the nominal power curve provided by a manufacturer of the unit is obtained, and specifically as shown in fig. 2, the model of the fan is W2000-105/80, and the power generation capacity lifting rate eta after the blade tip of each fan is prolonged by 2.5-3m is obtained according to the simulation calculation result.
Step 2: obtaining included wind turbine generatorAnd running data. The operating data should be no less than one month, preferably one quarter. In the embodiment, wind speed and output data of a wind turbine generator in a quarter are obtained, the wind speed is divided into sections, sample points with abnormal output data in the wind speed section are removed by using an abnormality detection algorithm, regression analysis is performed on the remaining sample points, and a power curve p is obtained 1 As shown in particular in fig. 3.
Step 3: dividing the cleaned data into wind speed intervals again according to the condition that the accuracy of wind speed data acquisition is 0.1m/s, and setting each wind speed interval to be 0.1m/s under the condition that the data quantity is sufficient, wherein the wind resource probability distribution f is shown in the following table:
TABLE 1 probability distribution of wind resources
Step 4: the microscopic wind resource indexes f.w at the positions of the units are calculated and ranked, as shown in fig. 4.
Step 5: calculating power curve p of wind turbine generator after blade extension 2 ＝(1+η)·p 1 ；
Step 6: calculating the power generation capacity index increment delta G idx ＝f·p 2 -f·p 1 And ordered as shown in fig. 5.
Step 7: and (3) modifying the site selection decision of the test points, wherein the owner selects according to the analysis result, and from the economic aspect, the unit with the largest increment of the power generation capacity index can be selected as the test point, namely the #10 unit. From the view of the generating curves of the units, the power curves of the #17, #8 and #20 units are respectively positioned at the high position, the middle position and the low position, and have typical demonstration values.
Example 3
As a second aspect of the present invention, the present invention also provides a wind farm site selection evaluation apparatus suitable for a prolonged modification of a wind turbine blade, comprising: one or more processors; a memory for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a wind farm site selection assessment method as described above that is suitable for extended modification of wind turbine blades. In addition to the above-mentioned processor, memory and interface, any device with data processing capability in the embodiments generally may further include other hardware according to the actual function of the any device with data processing capability, which will not be described herein.
Example 4
As a third aspect of the present invention, there is also provided a computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement a wind farm site selection assessment method as described above adapted for extended modification of a wind turbine blade. The computer readable storage medium may be an internal storage unit, such as a hard disk or a memory, of any of the data processing enabled devices described in any of the previous embodiments. The computer readable storage medium may also be an external storage device, such as a plug-in hard disk, a Smart Media Card (SMC), an SD Card, a Flash memory Card (Flash Card), or the like, provided on the device. Further, the computer readable storage medium may include both internal storage units and external storage devices of any device having data processing capabilities. The computer readable storage medium is used for storing the computer program and other programs and data required by the arbitrary data processing apparatus, and may also be used for temporarily storing data that has been output or is to be output.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention by one of ordinary skill in the art without undue burden. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.
Claims (10)
1. The method for evaluating the site selection of the extended transformation of the fan blade of the wind power plant is characterized by comprising the following steps:
obtaining a nominal power curve w of the wind turbine generator, and obtaining a power generation capacity lifting ratio eta after the extension of the blade through simulation calculation;
acquiring running data of the wind turbine, and performing regression analysis by taking wind speed as an independent variable and wind turbine output power as a dependent variable after cleaning abnormal data to obtain a running power curve p of the wind turbine 1 ；
Dividing the cleaned wind speed data into wind speed intervals, and counting the occurrence probability of wind speed in each interval to obtain wind resource probability distribution f;
based on the wind resource probability distribution f and a nominal power curve w of the wind turbine units, calculating a microscopic wind resource index of the position of each unit;
operating power curve p based on wind turbine generator system 1 With the power generation capacity lifting proportion eta after the extension of the blades, calculating the power curve p of the wind turbine generator after the extension of the blades 2 Calculating the increment of the power generation capacity index before and after the extension of the blade;
and (3) carrying out fan blade extension transformation test point site selection based on the microcosmic wind resource index of the position of each unit and the increment of the power generation capacity index before and after the blade extension.
2. The method for evaluating the site selection of the extended modification of the fan blade of the wind power plant according to claim 1, wherein the microscopic wind resource index is the inner product of wind resource probability distribution f and a nominal power curve w of the wind power plant.
3. The method for evaluating extended modification site selection of wind farm fan blades according to claim 1, wherein the power generation capacity index is defined as a wind resource probability distribution vector f and a wind turbine generator set power curve vector p 1 Is a product of the inner product of (a).
4. A wind farm fan blade extension retrofit site selection assessment method according to claim 3, wherein the blade extension pre-and post-power generation capability index increment Δg idx The method comprises the following steps:
ΔG idx ＝f·p 2 -f·p 1
wherein f is wind resource probability distribution, p 1 And p is as follows 2 And respectively prolonging the power curves of the wind turbine generator before and after the blade.
5. The wind farm fan blade extension transformation site selection assessment method according to claim 1, wherein the acquired running data of the wind turbine generator is longer than or equal to one month.
6. The method for evaluating the site selection of the extended modification of a wind turbine blade of a wind farm according to claim 1, wherein when the probability distribution of wind resources is obtained, a wind speed interval is set according to the accuracy of collected data.
7. The method for evaluating the site selection of the extended modification of the fan blade of the wind power plant according to claim 6, wherein when the data volume is insufficient, the set wind speed interval is larger than the precision of data acquisition.
8. The method for evaluating the site selection of the extended modification of the fan blade of the wind power plant according to claim 6, wherein the set wind speed interval is the same as the precision of data acquisition under the condition of data volume recombination.
9. The wind farm fan blade extension transformation site selection evaluation device comprises a memory, a processor and a program stored in the memory, and is characterized in that the processor realizes the wind farm fan blade extension transformation site selection evaluation method according to any one of claims 1-8 when executing the program.
10. A storage medium having a program stored thereon, wherein the program when executed implements a wind farm fan blade extension retrofit site selection assessment method according to any of claims 1-8.
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