A three-dimensional entrainment wake modeling method and system for a wind turbine

Abstract

The application discloses a three-dimensional entrainment wake modeling method, device and equipment of a wind turbine and a storage medium, and the method comprises the following steps: obtaining a one-dimensional entrainment wake model of a wind turbine, and performing two-dimensional processing on the one-dimensional entrainment wake model to obtain a two-dimensional entrainment wake model; based on the power influencing factors of the wind turbine in surge motion, an inflow induced wind speed model is constructed; based on wind shear inflow and tower shadow effect, and combined with the inflow induced wind speed model, wind speed superposition is performed to establish an inflow model of the wind turbine; the inflow model and the two-dimensional entrainment wake model are coupled to build a corresponding three-dimensional entrainment wake model of the wind turbine. The application solves the technical problem that the existing three-dimensional analytical model of the wind turbine wake lacks consideration of complex marine environmental factors such as offshore wind shear, wave motion and tower shadow effect, and cannot accurately calculate the offshore wind turbine wake field, thereby reducing the reliability of the operation of the offshore wind turbine.

Description

TECHNICAL FIELD

[0001] The present application relates to the offshore floating wind power generation technical field, and particularly relates to a three-dimensional entrainment wake modeling method and system of a wind turbine. BACKGROUND

[0002] With the rapid development of wind power technology and the continuous increase of the proportion of wind power in the power system, a large wind farm is usually composed of several hundred or even thousands of wind turbine units. In order to accurately analyze the power generation capacity of the wind turbine unit, the wake calculation of the wind turbine is increasingly concerned.

[0003] At present, the existing technology mainly calculates the wind turbine wake field by constructing a three-dimensional analytical model of the wind turbine wake. However, the three-dimensional analytical model of the wind turbine wake lacks consideration of complex marine environmental factors such as offshore wind shear and wave motion, and cannot accurately calculate the offshore wind turbine wake field, thereby reducing the reliability of the offshore wind turbine operation. SUMMARY

[0004] The present application provides a three-dimensional entrainment wake modeling method and system of a wind turbine, to solve the technical problem that the three-dimensional analytical model of the wind turbine wake in the prior art lacks consideration of the influence of complex marine environmental factors such as offshore wind shear and wave motion on the wake when calculating the wind turbine wake field, and cannot accurately calculate the offshore wind turbine wake field.

[0005] To solve the above technical problems, the present application provides a three-dimensional entrainment wake modeling method of a wind turbine, comprising:

[0006] obtaining a one-dimensional entrainment wake model of a wind turbine, and performing two-dimensional processing on the one-dimensional entrainment wake model to obtain a two-dimensional entrainment wake model;

[0007] constructing an inflow induced wind speed model based on the power influencing factors of the wind turbine in the surge motion;

[0008] based on the wind shear inflow and the tower shadow effect, and combining the inflow induced wind speed model to superimpose the wind speed, an inflow model of the wind turbine is established;

[0009] coupling the inflow model and the two-dimensional entrainment wake model to obtain a three-dimensional entrainment wake model corresponding to the wind turbine.

[0010] As a preferred scheme, the one-dimensional entrainment wake model of the wind turbine is specifically obtained by:

[0011] obtaining a preset linear entrainment wake model of the wind turbine;

[0012] constructing a mass model of the wind turbine based on the one-dimensional momentum theory and a preset pressure gradient change value;

[0013] The preset linear entrainment wake model and the mass model are coupled and solved to obtain the one-dimensional entrainment wake model of the wind turbine.

[0014] As a preferred solution, the velocity carried by the turbulent interface in the control body of the one-dimensional entrainment wake model is proportional to the absolute value of the difference between the flow direction velocity and the velocity carried by the turbulent interface.

[0015] As a preferred solution, the one-dimensional entrainment wake model is two-dimensionally processed to obtain a two-dimensional entrainment wake model, which specifically includes:

[0016] Based on the Gaussian distribution assumption, the initial wake model corresponding to the one-dimensional entrainment wake model is constructed by combining mass conservation and momentum conservation.

[0017] The initial wake model is linearly processed, and a two-dimensional entrainment wake model is constructed by combining the maximum speed loss obtained based on the initial wake model.

[0018] As a preferred solution, the initial wake model corresponding to the one-dimensional entrainment wake model is constructed by combining mass conservation and momentum conservation based on the Gaussian distribution assumption, which specifically includes:

[0019] The entrainment velocity is determined according to the one-dimensional entrainment wake model.

[0020] According to the one-dimensional entrainment wake model, the mass conservation equation in the control body of the one-dimensional entrainment wake model is determined by setting that the fluid in the control body flows uniformly, combining mass conservation.

[0021] According to the one-dimensional entrainment wake model, the momentum conservation equation in the control body of the one-dimensional entrainment wake model is determined.

[0022] Based on the Gaussian distribution assumption, the initial wake model corresponding to the one-dimensional entrainment wake model is determined by combining the mass conservation equation and the momentum conservation equation.

[0023] As a preferred solution, the mass conservation equation in the control body of the one-dimensional entrainment wake model is determined by setting that the fluid in the control body flows uniformly, combining mass conservation, according to the one-dimensional entrainment wake model, which specifically includes:

[0024] According to the one-dimensional entrainment wake model, the flow direction micro-element length and the wake diameter are obtained.

[0025] The fluid flow in the control body of the one-dimensional entrainment wake model is set to be uniform, and the net mass flow rate of the control body of the one-dimensional entrainment wake model is determined to be equal to the change rate of the fluid mass reduction in the control body in combination with the mass conservation and the length of the flow direction microelement and the diameter of the wake, as a mass conservation equation.

[0026] As a preferred solution, the momentum conservation equation in the control body of the one-dimensional entrainment wake model is determined according to the one-dimensional entrainment wake model, and specifically includes:

[0027] The length of the flow direction microelement and the diameter of the wake are obtained according to the one-dimensional entrainment wake model.

[0028] The fluid flow in the control body of the one-dimensional entrainment wake model is set to be uniform, and the fluid momentum of the control body of the one-dimensional entrainment wake model is determined to be equal to the change rate of the fluid momentum reduction in the control body in combination with the mass conservation and the length of the flow direction microelement and the diameter of the wake, as a momentum conservation equation.

[0029] As a preferred solution, the initial wake model is linearized and combined with the maximum speed loss obtained based on the initial wake model to construct a two-dimensional entrainment wake model, specifically including:

[0030] Based on the one-dimensional entrainment wake model corresponding to the initial wake model, the fluid mass flow rate of the two-dimensional entrainment wake model to be constructed is set to be equal to the fluid mass flow rate of the one-dimensional entrainment wake model at the cross section passing through the wake radius, thereby obtaining a maximum speed loss expression of the wind turbine center.

[0031] The maximum speed loss expression is integrated to obtain the maximum speed loss.

[0032] According to the maximum speed loss, a linear expression for linearizing the initial wake model is constructed.

[0033] Based on the linear expression, the maximum speed loss and the initial wake model corresponding to the one-dimensional entrainment wake model are combined to construct a two-dimensional entrainment wake model.

[0034] As a preferred solution, the inflow induced wind speed model is constructed based on the power influencing factors of the wind turbine in surge motion, specifically including:

[0035] Based on the wind wave motion period, wind wave motion displacement, wind wave motion frequency and wind wave motion amplitude of the wind turbine in surge motion, the wind speed instantaneous value of the wind turbine is constructed.

[0036] Based on the wind speed instantaneous value of the wind turbine, the wind speed average value of the wind turbine is determined, and the inflow induced wind speed model of the wind turbine in surge motion is established based on the wind speed average value.

[0037] As a preferred solution, the inflow model of the wind turbine is established based on the wind shear inflow and the tower shadow effect, and combined with the inflow induced wind speed model, specifically comprising:

[0038] Based on the inflow wind speed at the hub height of the wind turbine, the atmospheric roughness length and the logarithmic inflow expression of wind speed, the friction velocity of the wind turbine is obtained;

[0039] According to the friction velocity, the atmospheric roughness length and the logarithmic inflow expression of wind speed, the logarithmic inflow function of the wind shear inflow along the vertical height is constructed;

[0040] Based on the tower height of the wind turbine, the hub height of the wind wheel and the distance from the tower centerline to the wind rotor plane, the disturbed free flow wind speed expression of the wind turbine under the tower shadow effect is constructed;

[0041] The inflow induced wind speed model, the logarithmic inflow function and the disturbed free flow wind speed expression are linearly superimposed to establish the inflow model of the wind turbine.

[0042] As a preferred solution, the inflow model includes: inflow induced wind speed model, logarithmic inflow function and disturbed free flow wind speed;

[0043] The inflow induced wind speed model is used to represent the average value of the induced wind speed of the wind turbine when the surge motion occurs;

[0044] The logarithmic inflow function is used to represent the free flow wind speed of the wind turbine when the inflow wind speed shear occurs;

[0045] The disturbed free flow wind speed expression is used to represent the disturbed free flow wind speed of the wind turbine when the wind deflects after passing through.

[0046] As a preferred solution, the inflow model and the two-dimensional entrainment wake model are coupled to build the corresponding three-dimensional entrainment wake model of the wind turbine, specifically comprising:

[0047] The inflow model and the two-dimensional entrainment wake model are coupled to establish the initial three-dimensional entrainment wake model corresponding to the wind turbine;

[0048] Based on the pitch motion of the wind turbine, the pitch motion relationship between the distance from the tower centerline to the wind rotor plane and the tower radius of the wind turbine is determined;

[0049] Based on the pitch motion relationship and the initial three-dimensional entrainment wake model, the final three-dimensional entrainment wake model corresponding to the wind turbine is built.

[0050] Correspondingly, the application further provides a three-dimensional entrainment wake modeling device of a wind turbine, comprising a two-dimensional model construction module, a wind speed module construction module, an inflow model construction module and a three-dimensional model construction module.

[0051] The two-dimensional model construction module is configured to obtain a one-dimensional entrainment wake model of the wind turbine, and perform two-dimensional processing on the one-dimensional entrainment wake model to construct a two-dimensional entrainment wake model.

[0052] The wind speed module construction module is configured to construct an inflow induced wind speed model based on power influencing factors of the wind turbine in surge motion.

[0053] The inflow model construction module is configured to establish an inflow model of the wind turbine based on wind shear inflow and tower shadow effect, and combine the inflow induced wind speed model to perform wind speed superposition.

[0054] The three-dimensional model construction module is configured to couple the inflow model and the two-dimensional entrainment wake model to build a three-dimensional entrainment wake model corresponding to the wind turbine.

[0055] Correspondingly, the application further provides a terminal device, comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the three-dimensional entrainment wake modeling method of the wind turbine according to any one of the above.

[0056] Correspondingly, the application further provides a computer readable storage medium, comprising a stored computer program, wherein the computer program controls a device where the computer readable storage medium is located to execute the three-dimensional entrainment wake modeling method of the wind turbine according to any one of the above when the computer program is running.

[0057] Compared with the prior art, the embodiment of the application has the following beneficial effects:

[0058] The technical scheme of the present application obtains a one-dimensional entrainment wake model of a wind turbine, performs two-dimensionization, thereby constructing a corresponding two-dimensional entrainment wake model, and then combines the power influencing factors based on the surge motion of the wind turbine, the wind shear inflow and the tower shadow effect, thereby performing wind speed superposition to establish the corresponding inflow model of the wind turbine, solving the technical problem that the existing three-dimensional analytical model of the wake of the wind turbine lacks consideration of complex marine environmental factors such as offshore wind shear, wave motion and tower shadow effect, and cannot accurately calculate the offshore wind turbine wake field, thereby reducing the reliability of the operation of the offshore wind turbine. Finally, under full consideration of the influence of the inflow wind speed shear and the surge motion on the wake field of the wind turbine, the two-dimensional entrainment wake model is coupled to build a three-dimensional entrainment wake model corresponding to the wind turbine, thereby improving the accuracy of the calculation of the offshore wind turbine wake field, accurately and efficiently simulating the wake characteristics of the offshore floating wind turbine group, effectively improving the prediction accuracy of the energy output of the wind farm, and having significant significance for designing more efficient and reliable wind turbine generators, ensuring long-term stable operation and prolonging the service life. BRIEF DESCRIPTION OF DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0060] Figure 1 A step flow chart of a three-dimensional entrainment wake modeling method of a wind turbine provided by the embodiments of the present application;

[0061] Figure 2 A step schematic diagram of constructing a two-dimensional entrainment wake model provided by the embodiments of the present application;

[0062] Figure 3 A one-dimensional entrainment wake model control body schematic diagram provided by the embodiments of the present application;

[0063] Figure 4 A step schematic diagram of constructing an inflow induced wind speed model provided by the embodiments of the present application;

[0064] Figure 5 A step schematic diagram of establishing an inflow model of a wind turbine provided by the embodiments of the present application;

[0065] Figure 6 A step schematic diagram of establishing a three-dimensional entrainment wake model provided by the embodiments of the present application;

[0066] Figure 7 A far wake prediction result diagram provided by the embodiments of the present application;

[0067] Figure 8 The three-dimensional entrainment wake modeling device structure diagram of the wind turbine provided by the embodiment of the present application. DETAILED DESCRIPTION

[0068] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative labor fall within the protection scope of the present application.

[0069] At present, as a clean renewable energy, wind energy has huge reserves and wide distribution, and is an important clean energy for realizing sustainable development. Offshore floating wind turbines can utilize more powerful and stable offshore wind resources, and have higher energy output compared with onshore wind turbines. The wind turbine wake model has experienced development from one dimension to three dimensions. The traditional wake analytical model describes the evolution process of the wind turbine wake field. The existing three-dimensional analytical model of the wind turbine wake can preliminarily simulate the speed characteristics of the wind turbine wake field. The entrainment model based on the entrainment assumption can meet the mass conservation and momentum conservation laws in the control body, and the accuracy of the horizontal plane wake speed distribution simulation is improved by combining the Gaussian distribution assumption.

[0070] However, the above-mentioned wake analytical model is not accurate enough in describing the physical characteristics of the evolution process of the wind turbine wake field, and cannot simultaneously satisfy the mass conservation and momentum conservation laws. The existing three-dimensional analytical model of the wind turbine wake can preliminarily simulate the speed characteristics of the wind turbine wake field, but it lacks consideration of the influence of complex marine environmental factors such as offshore wind shear and wave motion on the wake.

[0071] In comparison, the entrainment model based on the entrainment assumption can meet the mass conservation and momentum conservation laws in the control body, and the accuracy of the horizontal plane wake speed distribution simulation can be improved by combining the Gaussian distribution assumption, but it cannot accurately describe the vertical wake profile considering the platform pitch motion. In order to improve the power generation efficiency of offshore wind turbines and ensure their safe operation, it is urgent to develop a three-dimensional entrainment model that can accurately simulate the wake effect of offshore wind turbines based on actual physical characteristics and considering marine environmental factors. In view of the deficiencies of the prior art, the embodiment of the present application proposes a three-dimensional entrainment model of offshore floating wind turbine wake. The method is based on the mass conservation and momentum conservation laws, fully considers the influence of the aerodynamic performance of offshore floating wind turbines on the wind turbine wake field under the coupling action of shear inflow and platform pitch motion, and improves the calculation accuracy of the offshore floating wind turbine wake field.

[0072] Embodiment one

[0073] Referring to Figure 1 A three-dimensional entrainment wake modeling method of a wind turbine is provided for the embodiment of the present application, comprising the following steps S101-S104:

[0074] Step S101: Obtain a one-dimensional entrainment wake model of a wind turbine, and perform two-dimensional processing on the one-dimensional entrainment wake model to construct a two-dimensional entrainment wake model.

[0075] In this embodiment, after obtaining the one-dimensional entrainment wake model of the wind turbine, based on the entrainment assumption, the fluid mass flow rate of the two-dimensional entrainment wake model is assumed to be equal to that of the one-dimensional entrainment wake model at the cross section passing through the wake radius, according to the mass conservation and momentum conservation principles of the fluid in the control volume of the one-dimensional entrainment wake model, and the Gaussian distribution assumption is introduced, so as to calculate the corresponding velocity loss function, and based on the velocity loss function, the two-dimensional entrainment wake model is established after linearization processing of the wake model.

[0076] Step S102: Based on the power influencing factors of the wind turbine in surge motion, an inflow induced wind speed model is constructed.

[0077] In this embodiment, the surge motion causes significant changes in the vector relationship between the attack angle of the wind wheel relative to the incoming flow and the incoming flow speed, which has a significant impact on the performance of the wind turbine. Therefore, the inflow induced wind speed model is established based on the influence of the surge motion on the wind turbine, so as to accurately reflect the influence of the surge motion on the wind turbine.

[0078] Step S103: Based on the wind shear inflow and tower shadow effect, and combined with the inflow induced wind speed model, the wind speed superposition is performed to establish the inflow model of the wind turbine.

[0079] In this embodiment, the logarithmic inflow function of the wind turbine is established based on the wind shear inflow, the disturbed free flow wind speed expression of the wind turbine is constructed based on the tower shadow effect of the wind turbine, and the wind speed superposition model is constructed based on the logarithmic inflow function under the wind shear inflow, the disturbed free flow wind speed expression under the tower shadow effect of the wind turbine, and the inflow induced wind speed model under the influence of the surge motion, so as to link the logarithmic inflow function, the disturbed free flow wind speed expression and the inflow induced wind speed model through the wind speed superposition model, and establish the inflow model of the wind turbine.

[0080] Step S104: Coupling the inflow model and the two-dimensional entrainment wake model to build the corresponding three-dimensional entrainment wake model of the wind turbine.

[0081] In this embodiment, the two-dimensional entrainment wake model and the inflow model are linked to obtain the wind turbine entrainment wake model corresponding to the wind turbine, i.e., the three-dimensional entrainment wake model.

[0082] The above embodiment is implemented, and has the following effects:

[0083] The technical scheme of the present application obtains a one-dimensional entrainment wake model of a wind turbine, performs two-dimensionalization on the one-dimensional entrainment wake model, thereby constructing a corresponding two-dimensional entrainment wake model, and then combines the power influencing factors based on the surge motion of the wind turbine, the wind shear inflow, and the tower shadow effect to perform wind speed superposition to establish the corresponding inflow model of the wind turbine, thereby solving the technical problem that the existing three-dimensional analytical model of the wake of the wind turbine lacks consideration of complex marine environmental factors such as offshore wind shear, wave motion, and tower shadow effect, and cannot accurately calculate the offshore wind turbine wake field, thereby reducing the reliability of the operation of the offshore wind turbine. Ultimately, under full consideration of the influence of the inflow wind speed shear and the surge motion on the wind turbine wake field, the two-dimensional entrainment wake model is coupled to build a three-dimensional entrainment wake model corresponding to the wind turbine, thereby improving the accuracy of the calculation of the offshore wind turbine wake field, accurately and efficiently simulating the wake characteristics of the offshore floating wind turbine group, effectively improving the prediction accuracy of the energy output of the wind farm, and having significant significance for designing more efficient and reliable wind turbine generators, ensuring long-term stable operation, and prolonging the service life.

[0084] Embodiment two

[0085] Please refer to Figure 2 which is a step schematic diagram of obtaining a one-dimensional entrainment wake model of a wind turbine and performing two-dimensional processing on the one-dimensional entrainment wake model to construct a two-dimensional entrainment wake model, and specifically includes steps S201-S205:

[0086] Step S201: Obtain a preset linear entrainment wake model of the wind turbine.

[0087] In this embodiment, the preset linear entrainment wake model of the wind turbine is used to represent the linear wake effect of the wind turbine, which can be directly determined by reading the corresponding design parameters of the wind turbine group, or a traditional linear wake analytical model can be directly used as the preset linear entrainment wake model in this embodiment. Preferably, it can be a LEWM model (Linearized Entrainment Wake Model). This model simplifies the complex flow characteristics of the wake through linearization, making it easier to calculate and analyze.

[0088] Step S202: Construct a mass model of the wind turbine based on one-dimensional momentum theory and a preset pressure gradient change value.

[0089] In this embodiment, according to one-dimensional momentum theory and assuming that the pressure gradient change in the pressure recovery zone is 0, a mass model of the wind turbine is constructed, and then the mass model is coupled with the linear entrainment wake model to obtain a one-dimensional entrainment wake model of the wind turbine.

[0090] In the embodiment, the preset pressure gradient change value refers to a pressure gradient change value of the wind turbine pressure recovery region. Preferably, the preset pressure gradient change value is 0, and a mass model of the wind turbine is constructed according to the one-dimensional momentum theory and the preset pressure gradient change value (the preset pressure gradient change value is 0, that is, no pressure gradient change). The one-dimensional momentum theory is used to describe the conservation of momentum in fluid flow, which is based on the principle of momentum conservation. Under the action of no external force, the total momentum of the fluid system remains unchanged, which can be expressed by mathematical equations, and the behavior of fluid flow can be predicted by solving these equations.

[0091] Step S203: coupling and solving the preset linear entrainment wake model and the mass model to construct a one-dimensional entrainment wake model of the wind turbine.

[0092] In the embodiment, the one-dimensional entrainment wake model of the wind turbine is constructed by coupling and solving the preset linear entrainment wake model, which is preferably the LEWM model, and the mass model.

[0093] As a preferred scheme of the embodiment, in the one-dimensional entrainment wake model, the entrainment velocity of the fluid outside the control volume carried through the turbulent interface is proportional to the absolute value of the difference between the flow direction velocity through the turbulent interface and the flow direction velocity of the fluid outside the control volume.

[0094] Step S204: constructing an initial wake model corresponding to the one-dimensional entrainment wake model based on the Gaussian distribution assumption and combining mass conservation and momentum conservation.

[0095] As a preferred scheme of the embodiment, the initial wake model corresponding to the one-dimensional entrainment wake model is constructed based on the Gaussian distribution assumption and combining mass conservation and momentum conservation, and specifically includes:

[0096] According to the one-dimensional entrainment wake model, the entrainment velocity is determined; according to the one-dimensional entrainment wake model, the mass conservation equation of the one-dimensional entrainment wake model is set by combining mass conservation, so that the fluid flow in the control volume of the one-dimensional entrainment wake model is uniform; according to the one-dimensional entrainment wake model, the momentum conservation equation of the one-dimensional entrainment wake model is determined; and based on the Gaussian distribution assumption, the initial wake model corresponding to the one-dimensional entrainment wake model is determined by combining the mass conservation equation and the momentum conservation equation.

[0097] In the embodiment, the one-dimensional entrainment model represents that the entrainment velocity of the fluid outside the control volume carried through the turbulent interface is proportional to the absolute value of the difference between the flow direction velocity through the turbulent interface and the flow direction velocity of the fluid outside the control volume, and is specifically represented as:

[0098]

[0099] In the formula, u represents the entrainment velocity, ​Vt represents the wake velocity, V0 represents the free-stream wind speed, Vt represents the entrainment parameter, usually taken as 0.15.

[0100] In the embodiment, the mass conservation equation in the control volume of the one-dimensional entrainment wake model can be determined by the entrainment velocity in the one-dimensional entrainment wake model and the mass conservation.

[0101] In the embodiment, the initial wake model of the one-dimensional entrainment wake model is constructed based on the Gaussian distribution assumption within the control volume of the one-dimensional entrainment wake model and on the basis of satisfying the mass conservation and the momentum conservation.

[0102] As a preferred scheme of the embodiment, the mass conservation equation in the control volume of the one-dimensional entrainment wake model is determined according to the one-dimensional entrainment wake model and the mass conservation, and the fluid flow in the control volume of the one-dimensional entrainment wake model is uniform, and the mass conservation equation in the control volume of the one-dimensional entrainment wake model includes:

[0103] According to the one-dimensional entrainment wake model, the streamwise microelement length and the wake diameter are obtained; the fluid flow in the control volume of the one-dimensional entrainment wake model is uniform, and the mass conservation and the streamwise microelement length and the wake diameter are combined to determine that the control volume net mass flow of the one-dimensional entrainment wake model is equal to the change rate of the fluid mass reduction in the control volume, as the mass conservation equation.

[0104] As a preferred scheme of the embodiment, the momentum conservation equation in the control volume of the one-dimensional entrainment wake model is determined according to the one-dimensional entrainment wake model, and the momentum conservation equation in the control volume of the one-dimensional entrainment wake model includes:

[0105] According to the one-dimensional entrainment wake model, the streamwise microelement length and the wake diameter are obtained; the fluid flow in the control volume of the one-dimensional entrainment wake model is uniform, and the mass conservation and the streamwise microelement length and the wake diameter are combined to determine that the control volume fluid momentum of the one-dimensional entrainment wake model is equal to the change rate of the fluid momentum reduction in the control volume, as the momentum conservation equation.

[0106] In the embodiment, within the control volume of the one-dimensional entrainment wake model (as shown in FIG. 1), the mass conservation law is combined, and it is assumed that the fluid flow in the control volume is uniform, that is, the control volume net mass flow is equal to the change rate of the fluid mass reduction in the control volume: Figure 3

[0107]

[0108] In the formula, Vt represents the wake velocity, represents the wake diameter. represents the wake diameter.

[0109] ​Similarly, the momentum conservation equation within the control volume is listed as follows:

[0110]

[0111] In this embodiment, based on the assumptions of Gaussian distribution and the conservation of mass and momentum, the definition of the wake model can be further derived as follows:

[0112]

[0113] In the formula, The maximum distribution function of the wake of the axial flow is given by... Related to, among them It can be determined by the center of the wind turbine. Then, we can calculate the result.

[0114] Step S205: Linearize the initial wake model and combine it with the maximum velocity loss obtained based on the initial wake model to construct a two-dimensional entrainment wake model.

[0115] As a preferred embodiment, the initial wake model is linearized, and a two-dimensional entrainment wake model is constructed by combining the maximum velocity loss obtained based on the initial wake model, specifically including:

[0116] Based on the one-dimensional entrainment wake model corresponding to the initial wake model, the fluid mass flow rate of the two-dimensional entrainment wake model to be constructed is set to be equal to that of the one-dimensional entrainment wake model at the cross section passing through the wake radius, thus obtaining the expression for the maximum velocity loss at the center of the wind turbine. The maximum velocity loss expression is solved by integration to obtain the maximum velocity loss. Based on the maximum velocity loss, a linear expression is constructed by linearizing the initial wake model. Based on the linear expression, combined with the maximum velocity loss and the initial wake model corresponding to the one-dimensional entrainment wake model, the two-dimensional entrainment wake model is constructed simultaneously.

[0117] In this embodiment, in order to calculate the maximum velocity loss at the center of the wind turbine in the mathematical model based on the Gaussian distribution assumption mentioned above... Assuming that the mass flow rate of the fluid in the two-dimensional Gaussian entrainment wake is equal to that in the one-dimensional entrainment wake model at the cross-section passing through the wake radius, that is:

[0118]

[0119] In the formula, To represent the standard deviation of the wake, in order to close the equation, we assume... ,in, The radius is the wake radius.

[0120] Points can be obtained from the center of the wind turbine. The maximum speed loss expression is:

[0121]

[0122] wherein, is a defined variable, and the formula is as follows:

[0123]

[0124] wherein, represents a downstream position very close to the wind wheel, is a thrust coefficient, , is an axial induction factor, is the wind wheel diameter.

[0125] In the present embodiment, the wake model is linearized, and the formula is as follows:

[0126]

[0127] wherein, represents a linearly expanded wake diameter, is an initial wake diameter, represents a linear wake model coefficient, and the formula is as follows:

[0128]

[0129] wherein:

[0130]

[0131] wherein, represents a flow direction distance from the wind wheel center to the initial wake expansion.

[0132] By combining equations (1), (3), (4), and (5), a two-dimensional Gaussian wake model can be obtained, and the formula is as follows:

[0133]

[0134]

[0135] In the above formula, is a linearized wake speed, is a free incoming flow speed, is a maximum speed loss expression of axial flow, is a distance from a point in the wake field to the wind wheel center line, is a defined variable, is a wake standard deviation generated by a Gaussian distribution function, is an entrainment coefficient, , is a thrust coefficient, , is an axial induction factor, is a distance downstream of the wind wheel, is a downstream position very close to the wind wheel.

[0136] Referring to Figure 4 , which is a schematic diagram of the steps of constructing the inflow induced wind speed model based on the power influencing factors of the wind turbine in surge motion in the embodiment, including the following steps S301-S302:

[0137] S301: Based on the wind wave motion period, wind wave motion displacement, wind wave motion frequency and wind wave motion amplitude of the wind turbine in surge motion, the wind speed instantaneous value of the wind turbine is constructed.

[0138] In the embodiment, the power influencing factors of the wind turbine in surge motion include but are not limited to the wind wave motion period, wind wave motion displacement, wind wave motion frequency and wind wave motion amplitude.

[0139] S302: Based on the wind speed instantaneous value of the wind turbine, the wind speed average value of the wind turbine is determined, and the inflow induced wind speed model of the wind turbine in surge motion is established based on the wind speed average value.

[0140] In the embodiment, the surge motion causes significant changes in the vector relationship between the attack angle and the inflow wind speed of the wind wheel relative to the incoming flow, which has a significant impact on the performance of the wind turbine. Based on the influence of the surge motion on the wind turbine, the induced wind speed of the inflow , the formula is as follows:

[0141]

[0142] Wherein:

[0143]

[0144] In the formula, is the wind speed instantaneous value, is the wind speed average value, is the wind wave motion period, , is the start time and end time for calculating the average value of the induced wind speed, is the number of periods; in the formula , , respectively represent the displacement, frequency and amplitude of the wind wave motion.

[0145] Referring to Figure 5, which is a step diagram of establishing the inflow model of the wind turbine based on the wind shear inflow and the tower shadow effect and combining the inflow induced wind speed model in the embodiment, including the following steps S401-S404:

[0146] Step S401: Based on the inflow wind speed at the hub height of the wind turbine, the atmospheric roughness length and the logarithmic inflow expression of wind speed, the friction velocity of the wind turbine is obtained.

[0147] Step S402: According to the friction velocity, the atmospheric roughness length and the logarithmic inflow expression of wind speed, the logarithmic inflow function of the wind shear inflow along the vertical height is constructed.

[0148] In the embodiment, the wind shear describes the change of wind speed in the vertical direction, which has a significant impact on the performance of the wind turbine. Based on the wind shear inflow effect, the logarithmic inflow function is used, and the formula is as follows:

[0149]

[0150] In the formula, is the friction velocity, is the von Karman constant, which is 0.4187, is the vertical height, is the atmospheric roughness length.

[0151] In the embodiment, the atmospheric roughness length can be directly measured by setting wind speed measuring instruments such as wind speed profiler at different heights to obtain wind speed data at different heights, and then calculating the atmospheric roughness length based on the wind speed data. Further, the digital surface model can be applied to the geometric model and the fluid dynamics model, so that the interaction between the airflow and the rough elements can be observed more finely to obtain the corresponding atmospheric roughness length.

[0152] Step S403: Based on the tower height of the wind turbine, the hub height of the wind wheel and the distance from the tower center line to the wind rotor plane, the disturbed free flow wind speed expression of the wind turbine under the tower shadow effect is constructed.

[0153] In the embodiment, the tower shadow effect refers to the deflection of the wind when passing through the tower, which leads to the reduction of wind speed behind the tower, thereby forming a speed reduction area at the wind wheel plane. Based on the tower shadow effect, the disturbed free flow wind speed at the wind wheel plane is represented as:

[0154]

[0155] In the formula is the tower radius, is the hub height, represents considering The distance from the center line of the tower to the wind rotor plane is as follows:

[0156]

[0157] wherein, is the wind wheel inclination angle.

[0158] Step S404: Linear wind speed superposition is performed on the inflow induced wind speed model, the logarithmic inflow function and the disturbed free flow wind speed expression to establish the inflow model of the wind wheel.

[0159] In the embodiment, the wind speed superposition effect is the effect of considering the inflow wind speed of the wind turbine as being superimposed by multiple different components. Based on the linear superposition hypothesis of the superposition theory, the inflow wind speed of the offshore floating wind turbine is:

[0160]

[0161] Therefore, by combining equations (10), (12), (13) and (15), the disturbed free flow wind speed (inflow expression) at the wind wheel plane considering the effects of the wind shear, the tower shadow effect and the surge motion on the wake field is:

[0162]

[0163] As a preferred scheme of the embodiment, the inflow model comprises: an inflow induced wind speed model, a logarithmic inflow function and a disturbed free flow wind speed; the inflow induced wind speed model is used to represent the average value of the induced wind speed of the wind turbine when the surge motion occurs; the logarithmic inflow function is used to represent the free flow wind speed of the wind turbine when the inflow wind speed is sheared; and the disturbed free flow wind speed expression is used to represent the disturbed free flow wind speed of the wind turbine when the wind is deflected after passing through.

[0164] In the embodiment, the surge motion causes significant changes in the attack angle of the wind wheel relative to the inflow and the vector relationship of the inflow wind speed, which has a significant impact on the performance of the wind generator; the wind shear describes the change of the wind speed in the vertical direction, which has a significant impact on the performance of the wind turbine; and the tower shadow effect refers to the deflection of the wind when passing through the tower cylinder, which causes the wind speed behind the tower cylinder to decrease, thereby forming a reduced area of the wind speed at the wind wheel plane.

[0165] It should be noted that based on the power influencing factors of the wind turbine under the inflow wind speed shearing and the surge motion, the inflow induced wind speed model, the logarithmic inflow function and the disturbed free flow wind speed of the wind turbine are established, and the inflow induced wind speed model, the logarithmic inflow function and the disturbed free flow wind speed are combined to obtain the inflow model corresponding to the wind turbine, wherein the power influencing factors include but are not limited to the wind wave motion period, the displacement, the frequency, the amplitude of the wind wave motion, the atmospheric roughness length, the tower cylinder radius and the hub height.

[0166] Please refer to Figure 6 It is a step diagram for coupling the inflow model and the two-dimensional entrainment wake model in the embodiment to build the three-dimensional entrainment wake model corresponding to the wind turbine, and specifically includes the following steps S501-S503:

[0167] Step S501: coupling the inflow model and the two-dimensional entrainment wake model to establish the initial three-dimensional entrainment wake model corresponding to the wind turbine.

[0168] Step S502: based on the pitch motion of the wind turbine, determining the pitch motion relationship between the distance from the center line of the tower of the wind turbine to the wind rotor plane and the tower radius.

[0169] Step S503: based on the pitch motion relationship and the initial three-dimensional entrainment wake model, building the final three-dimensional entrainment wake model corresponding to the wind turbine.

[0170] In the embodiment, the inflow model is coupled with the two-dimensional entrainment wake model to obtain the wake three-dimensional entrainment model of the offshore floating wind turbine.

[0171] The inflow expression is combined with the two-dimensional entrainment wake model, and the equations (8) and (16) are solved to preliminarily establish the wake three-dimensional entrainment model of the offshore floating wind turbine, and the formula is as follows:

[0172]

[0173] Based on the pitch motion of the wind turbine group, Therefore, the expression of the wake three-dimensional entrainment model of the offshore floating wind turbine is:

[0174]

[0175]

[0176] As a preferred scheme of the embodiment, the model construction and simulation of the wind turbine can also be performed through CFD numerical simulation. When performing numerical simulation of the wake of the offshore floating wind turbine group through computational fluid dynamics (CFD) software, the following is used:

[0177]

[0178] As the inflow condition thereof, wherein:

[0179]

[0180] As a preferred scheme of the embodiment, the accuracy of modeling can be determined by verifying the modeling method. For example, the prediction accuracy of the proposed three-dimensional entrainment wake model is verified by using the measured data of the GH wind tunnel. The wind turbine parameters are shown in Table 1, and the measured data are the wind speeds at the hub height at the downstream distances of 2.5D and 7.5D of the wind turbine, which have the representative characteristics of the near and far wake of the wind turbine group. D represents the diameter of the wind wheel.

[0181] The prediction results of the near and far wake of the GH wind tunnel according to the embodiment are shown in Figure 7 (a), (b).

[0182] In this example, a two-dimensional entrainment wake model is obtained based on a one-dimensional entrainment wake model, mass conservation equation and momentum conservation equation, and assuming that the wake is distributed in a Gaussian distribution along the radial direction of the wind wheel. Then, considering the inflow wind speed shear effect and the pitch and fluctuation of the offshore floating wind turbine caused by wind waves, an inflow model under the coupling effect is established. Finally, by combining the inflow model with the two-dimensional entrainment wake model, a three-dimensional entrainment wake model of the floating wind turbine under the action of wind waves and shear effect is finally obtained.

[0183]

[0184] Table 1: Wind turbine parameters

[0185] It can be understood that accurately and efficiently simulating the wake characteristics of the offshore floating wind turbine group is crucial for improving the prediction accuracy of the energy output of the wind farm, which has significant significance for designing more efficient and reliable wind turbine generators, ensuring their long-term stable operation, and prolonging their service life.

[0186] The three-dimensional entrainment wake model of the offshore floating wind turbine group proposed in the present application can accurately predict the wake velocity distribution of the offshore wind turbine group under the variable marine environment, thereby providing key flow field data for the downstream wind turbine. Accordingly, by optimizing the operation control strategy of the wind turbine generator, the energy capture efficiency of the downstream wind turbine can be effectively improved, thereby improving the energy output of the entire wind farm. In addition, the model also helps to reduce the fatigue damage of the wind turbine components caused by the wake effect, thereby prolonging the operation life of the wind farm and providing protection for the economic benefits of the offshore wind farm.

[0187] The above embodiment has the following effects:

[0188] The technical scheme of the present application obtains a one-dimensional entrainment wake model of a wind turbine, performs two-dimensionization on the one-dimensional entrainment wake model to obtain a two-dimensional entrainment wake model, establishes an inflow model of the wind turbine based on power influence factors of the wind turbine under inflow wind speed shear, surge motion and tower shadow effect, couples the two-dimensional entrainment wake model and the inflow model to build a three-dimensional entrainment wake model corresponding to the wind turbine, and solves the technical problem that the existing three-dimensional analytical model of the wind turbine wake lacks consideration of complex marine environmental factors such as offshore wind shear and wave motion, and cannot accurately calculate the offshore wind turbine wake field, thereby reducing the reliability of the operation of the offshore wind turbine. Meanwhile, the embodiment fully considers the influence of inflow wind speed shear and surge motion on the wind turbine wake field, and constructs a wind turbine entrainment wake model based on the law of conservation of mass and momentum, thereby improving the accuracy of the calculation of the offshore wind turbine wake field.

[0189] Embodiment three

[0190] Please refer to Figure 8 , which is a three-dimensional entrainment wake modeling device for a wind turbine provided by the embodiment of the present application, comprising a two-dimensional model construction module 01, a wind speed module construction module 02, an inflow model construction module 03 and a three-dimensional model construction module 04.

[0191] The two-dimensional model construction module 01 is used to obtain a one-dimensional entrainment wake model of a wind turbine, and perform two-dimensionization processing on the one-dimensional entrainment wake model to construct a two-dimensional entrainment wake model.

[0192] The wind speed module construction module 02 is used to construct an inflow induced wind speed model based on power influence factors of the wind turbine under surge motion.

[0193] The inflow model construction module 03 is used to establish an inflow model of the wind turbine based on wind shear inflow and tower shadow effect, and combine the inflow induced wind speed model to superimpose wind speed.

[0194] The three-dimensional model construction module 04 is used to couple the inflow model and the two-dimensional entrainment wake model to build a three-dimensional entrainment wake model corresponding to the wind turbine.

[0195] As a preferred scheme, the one-dimensional entrainment wake model of the wind turbine is obtained, specifically comprising:

[0196] Obtaining a preset linear entrainment wake model of the wind turbine;

[0197] Constructing a mass model of the wind turbine based on one-dimensional momentum theory and a preset pressure gradient change value;

[0198] Coupling and solving the preset linear entrainment wake model and the mass model to construct the one-dimensional entrainment wake model of the wind turbine.

[0199] As a preferred solution, the velocity of the control body outflow carried by the turbulent interface in the one-dimensional entrainment wake model is proportional to the absolute value of the difference between the flow direction velocity and the velocity of the control body outflow carried by the turbulent interface.

[0200] As a preferred solution, the one-dimensional entrainment wake model is two-dimensionally processed to obtain a two-dimensional entrainment wake model, specifically including:

[0201] Based on the Gaussian distribution assumption, the initial wake model corresponding to the one-dimensional entrainment wake model is constructed by combining mass conservation and momentum conservation.

[0202] The initial wake model is linearly processed, and the two-dimensional entrainment wake model is constructed by combining the maximum velocity loss obtained based on the initial wake model.

[0203] As a preferred solution, based on the Gaussian distribution assumption, the initial wake model corresponding to the one-dimensional entrainment wake model is constructed by combining mass conservation and momentum conservation, specifically including:

[0204] The entrainment velocity is determined according to the one-dimensional entrainment wake model.

[0205] According to the one-dimensional entrainment wake model, the mass conservation equation in the control body of the one-dimensional entrainment wake model is determined by setting that the fluid in the control body flows uniformly.

[0206] According to the one-dimensional entrainment wake model, the momentum conservation equation in the control body of the one-dimensional entrainment wake model is determined.

[0207] Based on the Gaussian distribution assumption, the initial wake model corresponding to the one-dimensional entrainment wake model is determined by combining the mass conservation equation and the momentum conservation equation.

[0208] As a preferred solution, according to the one-dimensional entrainment wake model, the mass conservation equation in the control body of the one-dimensional entrainment wake model is determined by setting that the fluid in the control body flows uniformly.

[0209] According to the one-dimensional entrainment wake model, the flow direction microelement length and the wake diameter are obtained.

[0210] The fluid in the control body of the one-dimensional entrainment wake model is set to flow uniformly, and the mass conservation equation is determined by combining mass conservation, flow direction microelement length and wake diameter, and the control body net mass flow rate equal to the change rate of fluid mass reduction in the control body.

[0211] As a preferred solution, according to the one-dimensional entrainment wake model, the momentum conservation equation in the control body of the one-dimensional entrainment wake model is determined, specifically including:

[0212] According to a one-dimensional entrainment wake model, a flow direction micro-element length and a wake diameter are obtained;

[0213] The fluid flow in the control body of the one-dimensional entrainment wake model is uniform, and the fluid momentum of the control body of the one-dimensional entrainment wake model is determined to be equal to the change rate of the fluid momentum in the control body, as a momentum conservation equation, by combining the mass conservation and the flow direction micro-element length and the wake diameter.

[0214] As a preferred solution, the initial wake model is linearized and combined with the maximum speed loss based on the initial wake model to construct a two-dimensional entrainment wake model, which specifically includes:

[0215] Based on the one-dimensional entrainment wake model corresponding to the initial wake model, the fluid mass flow of the two-dimensional entrainment wake model to be constructed is set to be equal to the fluid mass flow of the one-dimensional entrainment wake model at the cross section passing through the wake radius, thereby obtaining a maximum speed loss expression of the wind turbine center;

[0216] The maximum speed loss expression is integrated to obtain the maximum speed loss;

[0217] According to the maximum speed loss, a linear expression of linearization processing of the initial wake model is constructed;

[0218] Based on the linear expression, the two-dimensional entrainment wake model is constructed by combining the maximum speed loss and the initial wake model corresponding to the one-dimensional entrainment wake model.

[0219] As a preferred solution, based on the power influencing factors of the wind turbine in surge motion, an inflow induced wind speed model is constructed, which specifically includes:

[0220] Based on the wind wave motion period, wind wave motion displacement, wind wave motion frequency and wind wave motion amplitude of the wind turbine in surge motion, the wind speed instantaneous value of the wind turbine is constructed;

[0221] Based on the wind speed instantaneous value of the wind turbine, the wind speed average value of the wind turbine is determined, and the inflow induced wind speed model of the wind turbine in surge motion is established based on the wind speed average value.

[0222] As a preferred solution, based on the wind shear inflow and the tower shadow effect, and combined with the inflow induced wind speed model, the wind speed is superimposed to establish the inflow model of the wind turbine, which specifically includes:

[0223] Based on the inflow wind speed at the hub height of the wind turbine, the atmospheric roughness length and the logarithmic inflow expression of wind speed, the friction velocity of the wind turbine is obtained;

[0224] According to the friction velocity, the atmospheric roughness length and the logarithmic inflow expression of wind speed, the logarithmic inflow function of the wind shear inflow along the vertical height is constructed;

[0225] constructing a disturbed free-stream wind speed expression of the wind turbine under tower shadow effect based on a tower height of the wind turbine, a hub height of the wind wheel, and a distance from a tower centerline to a wind rotor plane;

[0226] performing linear wind speed superposition on the inflow induced wind speed model, the logarithmic inflow function, and the disturbed free-stream wind speed expression to establish an inflow model of the wind turbine.

[0227] As a preferred solution, the inflow model comprises: the inflow induced wind speed model, the logarithmic inflow function, and the disturbed free-stream wind speed;

[0228] The inflow induced wind speed model is used to represent an average value of the induced wind speed of the wind turbine when a surge motion occurs;

[0229] The logarithmic inflow function is used to represent a free-stream wind speed of the wind turbine when an inflow wind speed shear occurs;

[0230] The disturbed free-stream wind speed expression is used to represent a disturbed free-stream wind speed of the wind turbine when a deflection occurs after the wind passes.

[0231] As a preferred solution, the inflow model and a two-dimensional entrainment wake model are coupled to build a corresponding three-dimensional entrainment wake model of the wind turbine, specifically comprising:

[0232] The inflow model and the two-dimensional entrainment wake model are coupled to establish an initial three-dimensional entrainment wake model corresponding to the wind turbine;

[0233] Based on a pitch motion of the wind turbine, a pitch motion relationship between the distance from the tower centerline to the wind rotor plane and a tower radius of the wind turbine is determined;

[0234] Based on the pitch motion relationship and the initial three-dimensional entrainment wake model, a final three-dimensional entrainment wake model corresponding to the wind turbine is built.

[0235] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described device can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0236] Implementing the above embodiments has the following effects:

[0237] The technical scheme of the present application obtains a one-dimensional entrainment wake model of a wind turbine, performs two-dimensionization, thereby constructing a corresponding two-dimensional entrainment wake model, and then combines the power influencing factors based on the surge motion of the wind turbine, the wind shear inflow and the tower shadow effect, thereby performing wind speed superposition to establish the corresponding inflow model of the wind turbine, solving the technical problem that the existing three-dimensional analytical model of the wake of the wind turbine lacks consideration of complex marine environmental factors such as offshore wind shear, wave motion and tower shadow effect, and cannot accurately calculate the offshore wind turbine wake field, thereby reducing the reliability of the operation of the offshore wind turbine. Ultimately, under full consideration of the influence of the inflow wind speed shear and the surge motion on the wind turbine wake field, the two-dimensional entrainment wake model is coupled to build a corresponding three-dimensional entrainment wake model of the wind turbine, thereby improving the accuracy of the calculation of the offshore wind turbine wake field, accurately and efficiently simulating the wake characteristics of the offshore floating wind turbine group, effectively improving the prediction accuracy of the energy output of the wind farm, and having significant significance for designing more efficient and reliable wind turbine generators, ensuring long-term stable operation and prolonging the service life.

[0238] Embodiment three

[0239] Correspondingly, the present application also provides a terminal device, comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the three-dimensional entrainment wake modeling method of the wind turbine of any one of the above embodiments when executing the computer program.

[0240] The terminal device of this embodiment comprises a processor, a memory and a computer program stored in the memory and executable on the processor. The processor implements the steps in Embodiment One above when executing the computer program, such as the steps S101 to S104 shown in the figure. Figure 1 Alternatively, the processor implements the functions of the modules / units in the above device embodiments, such as the inflow model construction module 03, when executing the computer program.

[0241] Illustratively, the computer program can be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present application. One or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the terminal device. For example, the inflow model construction module 03 is used to perform wind speed superposition based on the wind shear inflow and the tower shadow effect, and in combination with the inflow induced wind speed model, to establish the inflow model of the wind turbine.

[0242] The terminal device can be a desktop computer, a notebook computer, a palm computer, a cloud server, and the like. The terminal device can include, but is not limited to, a processor, a memory. Those skilled in the art can understand that the schematic diagram is only an example of the terminal device, and does not constitute a limitation on the terminal device, and can include more or fewer components than the diagram, or combine certain components, or different components, for example, the terminal device can also include an input / output device, a network access device, a bus, and the like.

[0243] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, and the like. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor and the like. The processor is a control center of the terminal device, and connects all parts of the terminal device through various interfaces and lines.

[0244] The memory can be used to store computer programs and / or modules, and the processor realizes various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory, and calling data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required by a function, and the like; and the data storage area can store data created according to use of the terminal device, and the like. In addition, the memory can include a high-speed random access memory, and can also include a nonvolatile memory, for example, a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state memory device.

[0245] The modules / units integrated in the terminal device, if realized in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

[0246] Embodiment four

[0247] Correspondingly, the present application also provides a computer readable storage medium, which includes a stored computer program, wherein the computer program controls a device where the computer readable storage medium is located to execute the three-dimensional modeling method of the wind turbine tail flow when the computer program is running.

[0248] The above specific embodiments further illustrate the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above are only specific embodiments of the present application and are not used to limit the protection scope of the present application. It is particularly pointed out that any modification, equivalent replacement, improvement, etc. made by those skilled in the art within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A method of modeling the three-dimensional entrainment wake of a wind turbine, characterized by, The method comprises the following steps: obtaining a one-dimensional entrainment wake model of a wind turbine, and performing two-dimensional processing on the one-dimensional entrainment wake model to obtain a two-dimensional entrainment wake model; based on the power influencing factors of the wind turbine in surge motion, constructing an inflow induced wind speed model; based on the wind shear inflow and the tower shadow effect, and combining the inflow induced wind speed model, establishing the inflow model of the wind turbine; coupling the inflow model and the two-dimensional entrainment wake model to obtain the corresponding three-dimensional entrainment wake model of the wind turbine; the two-dimensional processing on the one-dimensional entrainment wake model to obtain a two-dimensional entrainment wake model, specifically comprising: based on the Gaussian distribution assumption, combining the mass conservation and the momentum conservation, constructing the initial wake model corresponding to the one-dimensional entrainment wake model; linearizing the initial wake model, and combining the maximum speed loss obtained based on the initial wake model to obtain a two-dimensional entrainment wake model; the linearization of the initial wake model and the maximum speed loss based on the initial wake model to obtain a two-dimensional entrainment wake model, specifically comprising: based on the one-dimensional entrainment wake model corresponding to the initial wake model, setting the fluid mass flow of the two-dimensional entrainment wake model to be constructed, which is equal to the fluid mass flow of the one-dimensional entrainment wake model at the cross section passing through the wake radius, so as to obtain the maximum speed loss expression of the wind wheel center; integrating the maximum speed loss expression to obtain the maximum speed loss; according to the maximum speed loss, constructing the linear expression for linearizing the initial wake model; based on the linear expression, combining the maximum speed loss and the initial wake model corresponding to the one-dimensional entrainment wake model to jointly construct a two-dimensional entrainment wake model; the construction of the inflow induced wind speed model based on the power influencing factors of the wind turbine in surge motion, specifically comprising: based on the wind surge motion period, wind surge motion displacement, wind surge motion frequency and wind surge motion amplitude of the wind turbine in surge motion, constructing the wind speed instantaneous value of the wind turbine; based on the wind speed instantaneous value of the wind turbine, determining the wind speed average value of the wind turbine, and based on the wind speed average value, establishing the inflow induced wind speed model of the wind turbine in surge motion; the coupling of the inflow model and the two-dimensional entrainment wake model to obtain the corresponding three-dimensional entrainment wake model of the wind turbine, specifically comprising: coupling the inflow model and the two-dimensional entrainment wake model to establish the initial three-dimensional entrainment wake model corresponding to the wind turbine; based on the pitch motion of the wind turbine, determining the pitch motion relationship between the distance from the center line of the tower to the wind rotor plane of the wind turbine and the tower radius; based on the pitch motion relationship and the initial three-dimensional entrainment wake model, establishing the final three-dimensional entrainment wake model corresponding to the wind turbine.

2. A three-dimensional modelling method of the wake of a wind turbine according to claim 1, characterized in that, the one-dimensional entrainment wake model of the wind turbine, specifically comprising: obtaining a preset linear entrainment wake model of a wind turbine; constructing a mass model of the wind turbine based on the one-dimensional momentum theory and a preset pressure gradient change value; coupling and solving the preset linear entrainment wake model and the mass model to construct a one-dimensional entrainment wake model of the wind turbine.

3. A three-dimensional modelling method of the wake of a wind turbine according to claim 2, characterized in that, In the one-dimensional entrainment wake model, the speed carried by the turbulent interface outside the control body is proportional to the absolute value of the difference between the flow direction speed and the flow direction speed through the turbulent interface.

4. A three-dimensional modelling method of the wake of a wind turbine according to claim 1, characterized in that, The one-dimensional entrainment wake model is constructed based on the Gaussian distribution assumption, combined with mass conservation and momentum conservation, and the initial wake model corresponding to the one-dimensional entrainment wake model is constructed, specifically including: determining the entrainment speed according to the one-dimensional entrainment wake model; According to the one-dimensional entrainment wake model, the flow of the fluid in the control body of the one-dimensional entrainment wake model is set to be uniform combined with mass conservation, so as to determine the mass conservation equation in the control body of the one-dimensional entrainment wake model; According to the one-dimensional entrainment wake model, the momentum conservation equation in the control body of the one-dimensional entrainment wake model is determined; Based on the Gaussian distribution assumption, the mass conservation equation and the momentum conservation equation are combined to determine the initial wake model corresponding to the one-dimensional entrainment wake model.

5. A three-dimensional modelling method of the wake of a wind turbine according to claim 4, characterized in that, The one-dimensional entrainment wake model is constructed based on the Gaussian distribution assumption, combined with mass conservation and momentum conservation, and the initial wake model corresponding to the one-dimensional entrainment wake model is constructed, specifically including: According to the one-dimensional entrainment wake model, the flow direction microelement length and the wake diameter are obtained; The flow of the fluid in the control body of the one-dimensional entrainment wake model is set to be uniform, combined with mass conservation and the flow direction microelement length and the wake diameter, and the net mass flow of the control body of the one-dimensional entrainment wake model is determined to be equal to the change rate of the mass reduction of the fluid in the control body, as the mass conservation equation.

6. A three-dimensional modelling method of the wake of a wind turbine according to claim 4, characterized in that, The one-dimensional entrainment wake model is constructed based on the Gaussian distribution assumption, combined with mass conservation and momentum conservation, and the initial wake model corresponding to the one-dimensional entrainment wake model is constructed, specifically including: According to the one-dimensional entrainment wake model, the flow direction microelement length and the wake diameter are obtained; The flow of the fluid in the control body of the one-dimensional entrainment wake model is set to be uniform, combined with mass conservation and the flow direction microelement length and the wake diameter, and the net mass flow of the control body of the one-dimensional entrainment wake model is determined to be equal to the change rate of the mass reduction of the fluid in the control body, as the mass conservation equation.

7. A three-dimensional modelling method of the wake of a wind turbine according to claim 1, characterized in that, The inflow model of the wind turbine is established based on the wind shear inflow and the tower shadow effect, and combined with the inflow induced wind speed model, specifically including: Based on the inflow wind speed at the hub height of the wind turbine, the atmospheric roughness length and the logarithmic inflow expression of wind speed, the friction velocity of the wind turbine is obtained; According to the friction velocity, the atmospheric roughness length and the logarithmic inflow expression of wind speed, a logarithmic inflow function of the wind shear inflow along the vertical height is constructed; Based on the tower height of the wind turbine, the hub height of the wind wheel and the distance from the tower center line to the wind rotor plane, a disturbed free flow wind speed expression of the wind turbine under the tower shadow effect is constructed; The inflow induced wind speed model, the logarithmic inflow function and the disturbed free flow wind speed expression are linearly superimposed to establish the inflow model of the wind turbine.

8. A three-dimensional modelling method of the wake of a wind turbine according to claim 7, characterized in that, The inflow model comprises: an inflow induced wind speed model, a logarithmic inflow function, and a disturbed free stream wind speed; The inflow induced wind speed model is used to represent the average value of the induced wind speed of the wind turbine when the surge motion occurs; The logarithmic inflow function is used to represent the free stream wind speed of the wind turbine when the inflow wind speed shear occurs; The disturbed free stream wind speed expression is used to represent the disturbed free stream wind speed of the wind turbine when the deflection occurs after the wind passes.

9. A device for modeling three-dimensional entrainment wake of a wind turbine for implementing the method of modeling three-dimensional entrainment wake of a wind turbine according to any one of claims 1 to 8, characterized in that, Comprise: A two-dimensional model construction module, a wind speed module construction module, an inflow model construction module, and a three-dimensional model construction module; The two-dimensional model construction module is configured to obtain a one-dimensional entrainment wake model of a wind turbine, and perform two-dimensional processing on the one-dimensional entrainment wake model to construct a two-dimensional entrainment wake model; The wind speed module construction module is configured to construct an inflow induced wind speed model based on power influencing factors of the wind turbine in surge motion; The inflow model construction module is configured to establish an inflow model of the wind turbine by superimposing wind speed based on wind shear inflow and tower shadow effect, and in combination with the inflow induced wind speed model; The three-dimensional model construction module is configured to couple the inflow model and the two-dimensional entrainment wake model to build a three-dimensional entrainment wake model corresponding to the wind turbine.

10. A terminal device, comprising: The computer readable storage medium comprises a stored computer program, wherein when the computer program runs, the device where the computer readable storage medium is located executes the three-dimensional entrainment wake modeling method of the wind turbine as claimed in any one of claims 1 to 8.

11. A computer readable storage medium, characterized in that, The computer readable storage medium comprises a stored computer program, wherein when the computer program runs, the device where the computer readable storage medium is located executes the three-dimensional entrainment wake modeling method of the wind turbine as claimed in any one of claims 1 to 8.

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