A method, system, and storage medium for determining true wind speed for a wind turbine nacelle

Abstract

The application provides a method for determining real wind speed of a wind turbine generator set cabin, comprising the following steps: collecting SCADA wind speed data, SCADA power data, mesoscale wind speed data and multi-year average air density at a specified time of a wind turbine position; constructing a wind speed process transfer function based on the collected SCADA wind speed data and mesoscale wind speed data; calculating a wind energy utilization coefficient based on the wind speed process transfer function and the SCADA power data; determining an actual wind energy utilization coefficient based on the wind energy utilization coefficient and a theoretical design wind energy utilization coefficient; and determining the cabin real wind speed at the specified time of the current annual day based on the actual wind energy utilization coefficient of the wind turbine and the multi-year average air density at the specified time. The application combines mesoscale wind speed and actual power to calculate the cabin real wind speed through a mathematical and physical relationship of a power utilization coefficient. The application also provides a system for determining the real wind speed of the wind turbine generator set cabin and a computer readable storage medium storing steps of the method for determining the cabin real wind speed.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of wind power generation technology, in particular to a method and system for determining real wind speed of a wind turbine nacelle and a storage medium. BACKGROUND

[0002] A wind speed meter is installed on the top of the nacelle of a wind power generation device, but this position is close to the center of the wind wheel of the wind turbine, so the wind distortion caused by the surrounding terrain and obstacles between the ideal measurement position and the actual measurement position is small, but the wind wheel and the nacelle cause serious wind distortion. Therefore, it is necessary to quantify this distortion. The nacelle wind speed transfer function (NTF) can describe this distortion.

[0003] However, the measurement of the nacelle transfer function in the standard "GB / T33225-2016 Power Performance Test of Wind Turbines Based on Nacelle Anemometer Method" is relatively complex, and there are many uncertainty cases. In actual use, due to the strong professionalism of the measurement and analysis process, the determination of the real wind speed of the nacelle of the wind farm is affected, and it is unable to meet the rapid and low-cost post-evaluation requirements of enterprises. SUMMARY

[0004] In view of the defects in the prior art, the present application provides a method and system for determining the real wind speed of the nacelle of a wind turbine and a storage medium to at least solve the technical problem that the existing scheme is too professional and complex to operate, and cannot meet the rapid and low-cost post-evaluation requirements of enterprises.

[0005] In order to achieve the above-mentioned purpose, the present application realizes the technical scheme as follows:

[0006] In a first aspect of the present application, a method for determining the real wind speed of the nacelle of a wind turbine is provided, comprising the following steps:

[0007] Collecting SCADA wind speed data, SCADA power data, mesoscale wind speed data and multi-year average air density at a specified time of the wind turbine position; the SCADA wind speed data at least includes the SCADA wind speed at the specified time of the current year and / or the SCADA wind speed at the same time of the previous year, and the mesoscale wind speed data at least includes the mesoscale wind speed at the specified time of the current year and / or the mesoscale multi-year average wind speed at the same time;

[0008] Based on the collected SCADA wind speed data and mesoscale wind speed data, a wind speed process transfer function is constructed;

[0009] Based on the wind speed process transfer function and the SCADA power data, the wind energy utilization coefficient is calculated;

[0010] Based on the wind energy utilization coefficient and the theoretical design wind energy utilization coefficient, the actual wind energy utilization coefficient is determined;

[0011] The current-year specified-time real wind speed of the wind turbine is determined based on the actual wind energy utilization coefficient of the wind turbine and the multi-year average air density at the specified time.

[0012] Optionally, the wind energy utilization coefficient is calculated based on the wind speed process transfer function and the SCADA power data, including:

[0013] The real wind speed v' of the wind turbine is calculated based on the wind speed process transfer function, and the real wind speed v' of the wind turbine and the SCADA power data P are substituted into the following formula to calculate the wind energy utilization coefficient C': p

[0014]

[0015] Wherein, p is the multi-year average air density at the specified time of the wind turbine position, and r is the wind wheel radius of the wind turbine.

[0016] Optionally, the current-year specified-time real wind speed of the wind turbine is determined based on the actual wind energy utilization coefficient of the wind turbine and the multi-year average air density at the specified time, including:

[0017] The actual wind energy utilization coefficient C p of the wind turbine and the multi-year average air density p at the specified time are substituted into the wind speed transfer function to calculate the current-year specified-time real wind speed v of the wind turbine:

[0018]

[0019] Optionally, the specified time includes at least each whole point time in the specified day of the current year.

[0020] In a second aspect, the application provides a system for determining the real wind speed of the wind turbine, including:

[0021] The data acquisition module is configured to acquire the SCADA wind speed data, the SCADA power data, the mesoscale wind speed data and the multi-year average air density at the specified time of the wind turbine position; the SCADA wind speed data includes at least the SCADA wind speed at the specified time of the current year and / or the SCADA wind speed at the same time of the previous year, and the mesoscale wind speed data includes at least the mesoscale wind speed at the specified time of the current year and / or the mesoscale multi-year average wind speed at the same time;

[0022] ​The data processing module is used for constructing a wind speed process transfer function based on the collected SCADA wind speed data and the mesoscale wind speed data; calculating a wind energy utilization coefficient based on the wind speed process transfer function and the SCADA power data; determining an actual wind energy utilization coefficient based on the wind energy utilization coefficient and a theoretical design wind energy utilization coefficient; and determining the real wind speed of the nacelle at the specified moment of the current year based on the actual wind energy utilization coefficient of the wind turbine and the multi-year average air density at the specified moment.

[0023] In a third aspect, the present application provides a computer readable storage medium having stored thereon an implementation program of information transmission, which, when executed by a processor, implements the steps of the method for determining the real wind speed of the nacelle of a wind turbine according to any one of the above aspects.

[0024] From the above technical solution, the present application has the following advantages:

[0025] The method for determining the real wind speed of the nacelle of a wind turbine provided by the present application comprises the following steps: collecting SCADA wind speed data, SCADA power data, mesoscale wind speed data and multi-year average air density at a specified moment of the wind turbine; the SCADA wind speed data at least includes SCADA wind speed at a specified moment of the current year and / or SCADA wind speed at the same moment of previous years, and the mesoscale wind speed data at least includes mesoscale wind speed at a specified moment of the current year and / or mesoscale multi-year average wind speed at the same moment; constructing a wind speed process transfer function based on the collected SCADA wind speed data and the mesoscale wind speed data; calculating a wind energy utilization coefficient based on the wind speed process transfer function and the SCADA power data; determining an actual wind energy utilization coefficient based on the wind energy utilization coefficient and a theoretical design wind energy utilization coefficient; and determining the real wind speed of the nacelle at the specified moment of the current year based on the actual wind energy utilization coefficient of the wind turbine and the multi-year average air density at the specified moment. The present application combines the mesoscale wind speed and the actual power to calculate the real wind speed of the nacelle through the mathematical and physical relationship of the power utilization coefficient, and the real wind speed determined by the method has higher overall correlation with the measured wind speed and smaller root mean square error, which can be used as an engineering real wind speed derivation method for analysis. The present application further provides a system for determining the real wind speed of the nacelle of a wind turbine and a computer readable storage medium having stored thereon the steps of the method for determining the real wind speed of the nacelle. BRIEF DESCRIPTION OF DRAWINGS

[0026] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings needed in the specific embodiments or prior art description will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual scale.

[0027] Figure 1The power coefficient design curve of the unit is designed under the standard air density. DETAILED DESCRIPTION

[0028] The embodiments of the technical solutions of the present application will be described in detail below with reference to the drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and therefore only serve as examples, but cannot limit the protection scope of the present application.

[0029] The present application provides a method for determining the real wind speed of the wind turbine nacelle, comprising the following steps:

[0030] Step 1, collecting the SCADA wind speed data, SCADA power data, mesoscale wind speed data and the average air density of the wind turbine position at the specified time (which can be the whole point time, half point time or other time, and the present application takes the whole point time as an example); analyzing and processing the SCADA wind speed, SCADA power and mesoscale wind speed of each wind turbine which needs to be restored to wind speed, and classifying and storing the wind speed and power data according to the whole point time; the SCADA wind speed data at least includes the SCADA wind speed at the specified time of the current year and / or the SCADA wind speed at the same time of the previous year, and the mesoscale wind speed data at least includes the mesoscale average wind speed at the specified time of the current year and / or the mesoscale multi-year average wind speed at the same time;

[0031] Specifically, the mesoscale wind speed data includes V1…V m , which represents the mesoscale average wind speed at the specified time of the current year or the mesoscale multi-year average wind speed at the same time obtained by different models (such as NCEP model, NCC model, etc.) downloaded from the mesoscale platform; the SCADA wind speed data includes V m+1 …V n , which represents the SCADA wind speed at the same time in a specific year; wherein n and m are positive integers, n is the number of wind speed used to calculate the hub height real wind speed, and the wind speed number is generally not less than 5, the more wind speed collected, the more accurate the calculation result, and m is the number of mesoscale wind speed data, and n>m+1;

[0032] Step 2, arranging each hour average according to the whole point, analyzing and processing each wind speed data at the whole point time, and constructing the wind speed process transfer function v′ j =F j (v j1 ,v j2 , …, v jm ,v jm+1 …v jn ), that is, the function contains all the mesoscale wind speed and SCADA wind speed collected, wherein j refers to 0 point-23 point, and there are 24 wind speed transfer functions;

[0033] Step 3, calculate the real wind speed v' by using the wind speed process transfer function of step 2, and bring v' and SCADA power into the formula Calculate the wind energy utilization coefficient C' p ;

[0034] Step 4, compare and analyze C' p calculated in step 3 with the theoretical design wind energy utilization coefficient C pt to determine the actual wind energy utilization coefficient C p of the wind turbine; specifically, according to the Betz theory, the maximum wind energy utilization coefficient of the wind turbine is 0.593, if C' p > 0.593, then C p = C pt , if C' p ≤ 0.593, then C p = C' p ;

[0035] Step 5, bring the actual wind energy utilization coefficient C p calculated in step 4 and the air density ρ j at each time into the nacelle wind speed transfer function

[0036]

[0037] to calculate the final real wind speed at each time on the current day of the current year.

[0038] Step 6, use python to program the module.

[0039] The present application is proposed based on the actual operation of the wind farm, fully considers reducing uncertainty, does not need to be tested on site, and ensures the accuracy of the restored wind speed, and is fully demonstrated. The present application solves the problem of restoring the nacelle wind speed in the post-evaluation of the wind farm. The present application combines the mesoscale wind speed and the actual power to derive the nacelle real wind speed through the mathematical and physical relationship of the power utilization coefficient. The real wind speed determined by the method has high overall correlation with the measured wind speed and small root mean square error, and can be used as an engineering real wind speed derivation method for analysis.

[0040] One embodiment takes a certain wind farm as an example to calculate the nacelle real wind speed of the wind farm 1# unit in June 2018, and analyzes the actual wind measurement data of the 1# nacelle real wind speed.

[0041] 1) Collect the mesoscale wind speed v1 at the unit position in June 2018, the historical multi-year average mesoscale wind speed v2, and the historical multi-year average air density data ρ, and store them according to different dates and the same whole point.

[0042] 2) The 1# unit 2018 June unit measurement wind speed and power, take the hour average, and store by different dates at the same hour, unit measurement wind speed v3; collect 1# unit historical operation data 2016 June hour average wind speed v4 and 2017 June hour average wind speed v5;

[0043] 3) Collect the power coefficient design curve under the standard air density of the unit, as shown in Figure 1 ;

[0044] 4) Derive the process wind speed transfer function v' of each hour point

[0045]

[0046] 5) Calculate the real wind speed calculation value v'

[0047]

[0048] 6) Calculate C' at each time p

[0049]

[0050] 7) Combine the theoretical power coefficient design curve to correct C p

[0051]

[0052] 8) Calculate the corrected wind speed v

[0053]

[0054] 9) Correlation and root mean square error analysis with the actual measured wind speed, the results are as follows:

[0055]

[0056]

[0057] The overall average of the correlation coefficient in the above table is 0.881, and the root mean square error is 0.856. The real wind speed determined by the method has high overall correlation (Pearson correlation coefficient 0.881) with the measured wind speed, and the root mean square error (0.856 m / s) is small, which can be used as an engineering real wind speed derivation method for analysis.

[0058] Based on the above method for determining the real wind speed of the wind turbine nacelle, the present application further provides a system for determining the real wind speed of the wind turbine nacelle, comprising:

[0059] The data acquisition module is used for acquiring SCADA wind speed data, SCADA power data, mesoscale wind speed data and multi-year average air density at a specified moment of the wind turbine position; the SCADA wind speed data at least includes SCADA wind speed at a specified moment of the current year and / or SCADA wind speed at the same moment of the previous year, and the mesoscale wind speed data at least includes mesoscale wind speed at a specified moment of the current year and / or mesoscale multi-year average wind speed at the same moment;

[0060] The data processing module is used for constructing a wind speed process transfer function based on the acquired SCADA wind speed data and mesoscale wind speed data, calculating a wind energy utilization coefficient based on the wind speed process transfer function and the SCADA power data, determining an actual wind energy utilization coefficient based on the wind energy utilization coefficient and a theoretical design wind energy utilization coefficient, and determining a real wind speed of the nacelle at a specified moment of the current year based on the actual wind energy utilization coefficient of the wind turbine and the multi-year average air density at the specified moment.

[0061] Based on the above method for determining the real wind speed of the nacelle of the wind turbine, the application further provides a computer readable storage medium, wherein the computer readable storage medium stores an information transmission implementation program, and the program is executed by a processor to implement the steps of the method for determining the real wind speed of the nacelle of the wind turbine according to any one of the above embodiments.

[0062] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the application, and not to limit them; although the application has been described in detail with reference to the above embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the above embodiments, or make equivalent replacement to part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the application, and they should be covered in the scope of the claims and the specification of the application.

Claims

1. A method of determining true wind speed at a nacelle of a wind turbine, characterized by, The method comprises the following steps: collecting SCADA wind speed data, SCADA power data, mesoscale wind speed data and multi-year average air density at a specified time of the wind turbine position; the SCADA wind speed data at least includes SCADA wind speed at a specified time of the current year and / or SCADA wind speed at the same time of previous years, and the mesoscale wind speed data at least includes mesoscale wind speed at a specified time of the current year and / or mesoscale multi-year average wind speed at the same time; constructing a wind speed process transfer function based on the collected SCADA wind speed data and mesoscale wind speed data; Based on the wind speed process transfer function and the SCADA power data, the wind energy utilization coefficient is calculated, including: calculating the nacelle real wind speed based on the wind speed process transfer function , and substituting the nacelle real wind speed and the SCADA power data P into the following formula to calculate the wind energy utilization coefficient : ； wherein, ρ is the multi-year average air density at the specified time of the wind turbine position, and r is the wind turbine rotor radius; Based on the wind energy utilization coefficient and the theoretical design wind energy utilization coefficient, the actual wind energy utilization coefficient is determined, including: [determining the calculated wind energy utilization coefficient]. By comparing with the theoretically designed wind energy utilization coefficient Comparative analysis was conducted to determine the actual wind energy utilization coefficient of the wind turbine. Specifically, according to Betz's theory, the maximum wind energy utilization factor of a wind turbine is 0.

593. >0.593, then = ,like ≤0.593, then = ; Based on the actual wind energy utilization coefficient of the fan and the multi-year average air density at the specified moment, the real wind speed of the cabin at the specified moment of the current year is determined .

2. A method of determining true wind speed in a nacelle of a wind turbine generator according to claim 1, wherein, determining the actual wind speed of the nacelle at the specified time of the current year based on the actual wind energy utilization coefficient of the wind turbine and the multi-year average air density at the specified time, comprising: The fan actual wind energy utilization coefficient , and, the multi-year average air density p at the specified time, is brought into the cabin wind speed transfer function to calculate the cabin real wind speed at the specified time of the current year : 。 3. The method of determining true wind speed in a nacelle of a wind turbine generator according to claim 1, wherein, the specified time at least includes each whole point time within a specified day of the current year.

4. A system for determining the true wind speed in the nacelle of a wind turbine, employing a method for determining the true wind speed in the nacelle of a wind turbine according to any one of claims 1 to 3, characterized in that The method comprises the following steps: a data collection module for collecting SCADA wind speed data, SCADA power data, mesoscale wind speed data and multi-year average air density at a specified time of the wind turbine position; the SCADA wind speed data at least includes SCADA wind speed at a specified time of the current year and / or SCADA wind speed at the same time of previous years, and the mesoscale wind speed data at least includes mesoscale wind speed at a specified time of the current year and / or mesoscale multi-year average wind speed at the same time; a data processing module for constructing a wind speed process transfer function based on the collected SCADA wind speed data and mesoscale wind speed data; calculating the wind energy utilization coefficient based on the wind speed process transfer function and the SCADA power data; determining the actual wind energy utilization coefficient based on the wind energy utilization coefficient and the theoretical design wind energy utilization coefficient; Based on the actual wind energy utilization coefficient of the fan and the multi-year average air density at the specified moment, the real wind speed of the cabin at the specified moment of the current year is determined .

5. A computer readable storage medium, characterized in that, the computer readable storage medium stores an implementation program of information transmission, and the program is executed by the processor to realize the steps of the method for determining the actual wind speed of the nacelle of the wind turbine according to any one of claims 1-3.

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