Wind turbine generator hub height determination method, system and equipment and storage medium

Abstract

The invention provides a wind turbine generator hub height determination method, system and device and a storage medium, and the method comprises the steps: measuring the wind speeds of a machine location point at different heights, and deducing the equivalent impeller area wind speed; determining a height interval of the height of the hub, and dividing the height interval into a plurality of equivalent intervals; and selecting a corresponding generator according to the equivalent impeller area wind speed, calculating the annual income of the generator in different equivalent intervals according to a preset income constraint condition, and selecting the median value of the equivalent interval with the highest annual income as the optimal hub height. The problems that in the prior art, due to the fact that experience of engineers is relied on, selection of the hub height is not accurate enough, and the manufacturing cost of a follow-up wind turbine generator cannot be controlled are solved.

Description

Technical Field

[0001] The present invention relates to the field of wind power technology, and in particular to a method, system, device and storage medium for determining the hub height of a wind turbine set. Background Art

[0002] With the rapid progress of domestic wind turbine technology, wind turbines have now fully entered the era of 10MW+ single-unit capacity, with rotor diameters generally exceeding the 200-meter mark and hub heights exceeding a new height of 180 meters. Tower forms are becoming increasingly diverse, covering a variety of structures such as steel towers, hybrid towers, and truss towers. There are a wide variety of models on the market, with more than a hundred options, and each model can flexibly adapt to a variety of hub heights to meet the challenges of different wind farm environmental conditions.

[0003] In this context, the choice of tower form and height has a profound impact on the investment cost and economic benefits of wind power projects. The price difference is significant, which has become one of the factors that must be carefully considered when planning a project. At the same time, under the premise of ensuring a safe distance between the blade tip and the ground, the wind shear intensity becomes a key factor in determining the amount of power generated at different hub heights.

[0004] In the field of wind power, the selection of hub height is a complex and critical process, which is directly related to the economic efficiency and power generation efficiency of wind power projects. At present, with the rapid development of domestic wind turbine technology, the hub height of commercial applications has exceeded 180 meters, indicating that the exploration of higher hub heights will become a trend in the future. However, when determining the optimal hub height, the existing method mainly uses the empirical recommendation method, which relies on the deep experience of senior engineers and a deep understanding of the characteristics of regional wind resources, combined with big data analysis, to consider whether to use a standard tower or a high tower solution. However, this method has many human intervention factors and is too dependent on the experience of engineers. Therefore, it is not accurate enough in the selection of hub height, making it difficult to control the manufacturing cost of subsequent wind turbines, and has poor stability. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method for determining the hub height of a wind turbine, which solves the problem that the prior art relies on the experience of engineers, is not accurate enough in selecting the hub height, and cannot control the subsequent manufacturing cost of the wind turbine.

[0006] According to an embodiment of the present invention, a method for determining the hub height of a wind turbine generator system includes:

[0007] Measure the wind speed at different heights of the machine site and derive the equivalent impeller area wind speed;

[0008] Determine a height interval of the hub height, and divide the height interval into a plurality of equivalent intervals;

[0009] The corresponding generator is selected according to the equivalent blade area wind speed, and the annual income of the generator in different equivalent intervals is calculated according to the preset income constraint conditions, and the median value of the equivalent interval with the highest annual income is selected as the optimal hub height.

[0010] Preferably, after the wind speed is measured, the wind shear index at the measured wind speed computer site is calculated, and then the corresponding wind speed curve is selected according to the wind shear index, and the equivalent impeller area wind speed is derived according to the wind speed curve.

[0011] Preferably, the difference between the maximum height and the minimum height of each equivalent interval is 1 m.

[0012] Preferably, the calculation formula of the wind shear index is as follows:

[0013]

[0014] where v1 and v2 are the measured wind speeds at heights z1 and z2, respectively.

[0015] Preferably, the annual income is calculated as follows:

[0016]

[0017] Where k is the number of generators, E th is the annual theoretical power generation, v1 is the generator cut-in wind speed, v2 is the generator cut-out wind speed, p i (v) The power generated by the ith generator when the wind speed is v, f i (v) is the wind speed distribution of the equivalent rotor area of ​​the i-th generator, n is the number of years of operation of the unit, N is the unit evaluation period, I0 is the initial investment amount, I t VAT deduction for the project, V R Wind power system residual value, M n is the operating cost in the nth year, CI is the cash flow, and CO is the cash outflow.

[0018] On the other hand, according to an embodiment of the present invention, a system for determining the hub height of a wind turbine is further provided. The system uses the above-mentioned method for determining the hub height of a wind turbine, and comprises:

[0019] A measuring module, the measuring module is used to measure the wind speed at different heights of the machine site;

[0020] A calculation module, the calculation module is used to derive an equivalent impeller area wind speed according to the measured wind speed, and calculate an annual income;

[0021] A processing module is used to determine the height interval of the hub height and divide the height intervals according to the measured wind speed, and to determine the optimal hub height according to the annual revenue.

[0022] On the other hand, according to an embodiment of the present invention, there is further provided a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the above-mentioned method for determining the hub height of a wind turbine.

[0023] On the other hand, according to an embodiment of the present invention, there is further provided a computer storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the above-mentioned method for determining the hub height of a wind turbine.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] The present invention utilizes measured wind resource data to deeply analyze the wind speed growth characteristics under different hub heights, reflects the wind resource characteristics through measured data, provides accurate data support for subsequent hub height selection, improves the accuracy of the selection, and predicts the change in power generation based on this. Then, under the set benefit constraints, the limitations of capital and time costs and the impact of electricity price changes are considered, and the annual income of the wind turbine is comprehensively analyzed by combining the power generation growth with the cost changes over the entire life cycle of the project, thereby more comprehensively evaluating the economic efficiency of the hub height, and selecting the hub height with the highest benefit as the optimal hub height, so as to accurately control the manufacturing cost of subsequent wind turbines. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a flow chart of a method for determining hub height according to an embodiment of the present invention.

[0027] Figure 2 1 is a wind speed curve diagram under different wind shear indices according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0029] like Figure 1 As shown, an embodiment of the present invention provides a method for determining the hub height of a wind turbine generator set, comprising:

[0030] Measure the wind speed at different heights of the machine site and derive the equivalent impeller area wind speed;

[0031] Through field investigation, the installation location of the wind turbine is determined, that is, the machine site, and then the wind speed at different heights is measured at the machine site. Based on the measured wind speed data, the wind shear index at the site is calculated:

[0032]

[0033] where v1 and v2 are the measured wind speeds at heights z1 and z2, respectively.

[0034] Afterwards, the wind speed curve of the wind shear index at the aircraft site simulated by CFD is as follows: Figure 2 As shown in the figure, according to the wind speed curve, the equivalent impeller area wind speed is derived:

[0035]

[0036] Vi is the wind speed at the ith height; wi is the weight corresponding to the wind speed in different areas; n is the total number of wind speed data.

[0037] Each wind turbine has certain upper and lower limits on the hub height based on environmental factors. The minimum ground clearance requirement is taken as the minimum hub height, and the minimum of the maximum hub height in the current technical status, the height limit requirement or the collapse distance requirement is taken as the maximum hub height. The maximum and minimum values ​​are taken as the height range of the hub height, and the height range is divided into multiple equivalent ranges. The difference between the maximum height and the minimum height of each equivalent range is 1m.

[0038] Using measured wind resource data, we deeply analyze the wind speed growth characteristics under different hub heights. We use measured data to reflect wind resource characteristics, provide accurate data support for subsequent hub height selection, improve the accuracy of selection, and predict power generation changes accordingly.

[0039] The corresponding generator is selected according to the equivalent blade area wind speed, and the annual income of the generator in different equivalent intervals is calculated according to the preset income constraint conditions, and the median value of the equivalent interval with the highest annual income is selected as the optimal hub height.

[0040] After selecting the generator, calculate the equivalent impeller area wind speed according to the height of the equivalent interval, and then calculate the wind speed distribution (Weibull distribution) on the time series of the equivalent impeller area wind speed. Calculate the power generation at different hub heights through the selected model power curve and corresponding wind speed. The annual power generation is:

[0041]

[0042] Where k is the number of generators, E th is the annual theoretical power generation, v1 is the generator cut-in wind speed, v2 is the generator cut-out wind speed, p i (v) The power generated by the ith generator when the wind speed is v, f i (v) is the wind speed distribution of the equivalent rotor area of ​​the i-th generator.

[0043] The annual revenue is then calculated by considering the revenue constraints. There are many types of revenue constraints in actual operations, such as maximizing net revenue (revenue - cost), maximizing return on investment (ROI) or levelized cost of electricity (LCOE). Since the various revenue conditions affect each other, the actual calculation of annual revenue is more complicated. In the present invention, for the sake of convenience, the revenue constraints only take rate of return and levelized cost of electricity as examples to simplify the calculation.

[0044] The annual return is calculated as follows:

[0045]

[0046] Among them, IRR is the rate of return, LCOE is the cost per kilowatt-hour, n is the number of years the unit has been in operation, N is the unit evaluation cycle, I0 is the initial investment amount, I t VAT deduction for the project, V R Wind power system residual value, M n is the operating cost in the nth year, CI is the cash flow, and CO is the cash outflow.

[0047] It can be seen from the above formula that, with other variables unchanged, increasing or decreasing the hub height will increase or decrease the wind speed due to the wind shear power exponent, which will lead to an increase or decrease in power generation, an increase or decrease in electricity revenue, an increase / decrease in cash outflow, a decrease / increase in rate of return, and a decrease / increase in annual income.

[0048] In addition, the initial investment amount I0 will also affect the annual return. Therefore, increasing / decreasing the wheel height will increase / decrease the initial investment amount and also reduce / increase the annual return.

[0049] Under the set profit constraints, taking into account the limitations of capital and time costs and the impact of electricity price changes, the annual profit of the wind turbine is comprehensively analyzed by combining the growth in power generation with the cost changes throughout the project life cycle, so as to more comprehensively evaluate the economic feasibility of the hub height, and select the hub height with the highest profit as the optimal hub height, so as to accurately control the manufacturing costs of subsequent wind turbines.

[0050] On the other hand, Figure 2 As shown, an embodiment of the present invention further provides a system for determining the hub height of a wind turbine generator set, the system using the above-mentioned method for determining the hub height of a wind turbine generator set, comprising:

[0051] A measuring module, the measuring module is used to measure the wind speed at different heights of the machine site;

[0052] A calculation module, the calculation module is used to derive an equivalent impeller area wind speed according to the measured wind speed, and calculate an annual income;

[0053] A processing module is used to determine the height interval of the hub height and divide the height intervals according to the measured wind speed, and to determine the optimal hub height according to the annual revenue.

[0054] On the other hand, an embodiment of the present invention further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the above-mentioned method for determining the hub height of a wind turbine.

[0055] On the other hand, an embodiment of the present invention further provides a computer storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the above-mentioned method for determining the hub height of a wind turbine.

[0056] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A method for determining the hub height of a wind turbine, characterized in that: include: Measure the wind speed at different heights of the machine site and derive the equivalent impeller area wind speed; Determine a height interval of the hub height, and divide the height interval into a plurality of equivalent intervals; The corresponding generator is selected according to the equivalent blade area wind speed, and the annual income of the generator in different equivalent intervals is calculated according to the preset income constraint conditions, and the median value of the equivalent interval with the highest annual income is selected as the optimal hub height.

2. A method for determining the hub height of a wind turbine according to claim 1, characterized in that: After the wind speed is measured, the wind shear index at the measured wind speed computer location is calculated, and then the corresponding wind speed curve is selected according to the wind shear index, and the equivalent rotor area wind speed is derived according to the wind speed curve.

3. A method for determining the hub height of a wind turbine according to claim 2, characterized in that: The difference between the maximum and minimum heights of each equivalent interval is 1m.

4. A method for determining the hub height of a wind turbine according to claim 1, characterized in that: The calculation formula of the wind shear index is as follows: where v1 and v2 are the measured wind speeds at heights z1 and z2, respectively.

5. A method for determining the hub height of a wind turbine according to claim 1, characterized in that: The annual return is calculated as follows: Where k is the number of generators, E th is the annual theoretical power generation, v1 is the generator cut-in wind speed, v2 is the generator cut-out wind speed, p i (v) The power generated by the ith generator when the wind speed is v, f i (v) is the wind speed distribution of the equivalent rotor area of ​​the i-th generator, n is the number of years of operation of the unit, N is the unit evaluation period, I0 is the initial investment amount, I t VAT deduction for the project, V R Wind power system residual value, M n is the operating cost in the nth year, CI is the cash flow, and CO is the cash outflow.

6. A wind turbine hub height determination system, characterized in that: The system uses a method for determining the hub height of a wind turbine set according to any one of claims 1 to 5, comprising: A measuring module, the measuring module is used to measure the wind speed at different heights of the machine site; A calculation module, the calculation module is used to derive an equivalent impeller area wind speed according to the measured wind speed, and calculate an annual income; A processing module is used to determine the height interval of the hub height and divide the height intervals according to the measured wind speed, and to determine the optimal hub height according to the annual revenue.

7. A computer device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes a method for determining the hub height of a wind turbine set as claimed in any one of claims 1 to 5.

8. A computer storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the processor executes a method for determining the hub height of a wind turbine set according to any one of claims 1 to 5.

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