A wind turbine generator noise control method and system

Abstract

The present application relates to the field of power generation control technology, and in particular to a method and system for controlling noise of a wind turbine generator set, the method comprising the following steps: obtaining sound pressure test data; establishing a sound pressure distribution model according to the sound pressure test data; processing the sound pressure distribution model according to a preset sound pressure rule to obtain a modified sound pressure distribution model; establishing a noise optimization index model based on the modified sound pressure distribution model; establishing a power optimization index model according to a preset power rule; optimizing the power optimization index model and the noise optimization index model based on a preset algorithm to obtain an optimization result; analyzing the optimization result to obtain an analysis result, and controlling the operation of the wind turbine according to the analysis result. The wind turbine generator set noise control method and system provided in the present application can improve the noise control effect and reduce the loss of power generation.

Description

Technical Field

[0001] The present application relates to the technical field of power generation control, and in particular to a method and system for controlling noise of a wind turbine generator set. Background Art

[0002] Wind turbines are electrical equipment that converts wind energy into mechanical energy, which drives the rotor to rotate and finally outputs alternating current. Wind turbines are generally composed of wind rotors, generators (including devices), regulators (tail wings), towers, speed limit safety mechanisms, and energy storage devices.

[0003] Wind turbines will inevitably generate noise during operation. The noise generated can be mainly divided into two categories. One is the mechanical noise generated during the operation of the wind turbine, such as yaw noise and the cooling fan noise of the inverter; the other is the aerodynamic noise of the wind turbine blades, that is, the noise caused by the high-speed flow of air around the blades during the rotation of the blades.

[0004] Traditional noise reduction methods mainly target mechanical noise and blade aerodynamic noise, mainly by installing serrated trailing edges on the blades from a structural perspective, or reducing the output power of the wind turbine from a control perspective.

[0005] With respect to the above-mentioned related technologies, the inventors believe that the noise control method from a control perspective is inflexible and easily leads to a large loss of power generation. Summary of the invention

[0006] In order to improve the noise control effect and reduce the loss of power generation, the present application provides a wind turbine noise control method and system.

[0007] In a first aspect, the present application provides a method for controlling noise of a wind turbine generator set, which adopts the following technical solution:

[0008] A method for controlling noise of a wind turbine generator set comprises the following steps:

[0009] Obtain sound pressure test data;

[0010] Establishing a sound pressure distribution model according to the sound pressure test data;

[0011] Processing the sound pressure distribution model according to a preset sound pressure rule to obtain a modified sound pressure distribution model;

[0012] Establishing a noise optimization index model based on the modified sound pressure distribution model;

[0013] According to the preset power rules, a power optimization index model is established;

[0014] Optimizing the power optimization index model and the noise optimization index model based on a preset algorithm to obtain an optimization result;

[0015] The optimization result is analyzed, the analysis result is obtained, and the operation of the fan is controlled according to the analysis result.

[0016] By adopting the above technical solution, a corresponding sound pressure distribution model is established according to the sound pressure test data, and the sound pressure distribution model is corrected to make the analysis of the fan noise more accurate, and then a noise optimization index is established according to the corrected model and the target noise threshold, and a power optimization index is established according to the preset power rule, and finally the noise optimization index and the power optimization index are analyzed according to the preset algorithm to obtain control parameters that meet the noise reduction effect and minimize the power generation loss, and the fan operates according to the control parameters. The wind turbine noise control method provided in this application can improve the noise control effect and reduce the power generation loss.

[0017] Optionally, establishing a sound pressure distribution model according to the sound pressure test data comprises the following steps:

[0018] Setting the test setting items of the sound pressure test data according to a preset distribution rule;

[0019] Testing the sound pressure test data according to the test setting items to obtain a target sound pressure test value;

[0020] The sound pressure distribution model is established according to the target sound pressure test value.

[0021] By adopting the above technical solution, the sound pressure test data can be analyzed more accurately according to the test setting items of the sound pressure test.

[0022] Optionally, testing the sound pressure test data according to the test setting items to obtain a target sound pressure test value includes the following steps:

[0023] The test setting items include enabling control level, wind speed condition, wind direction condition and polar diameter;

[0024] A test sound pressure value is obtained according to the enable control level, the preset wind speed range, the wind direction condition and the polar diameter.

[0025] By adopting the above technical solution, the sound pressure test data is analyzed and calculated according to a plurality of test setting items, and then the corresponding target sound pressure test value is obtained, so that the sound pressure test effect is better.

[0026] Optionally, establishing a noise optimization index model based on the modified sound pressure distribution model comprises the following steps:

[0027] Get the target noise threshold;

[0028] A noise optimization index model is established based on the target noise threshold and the modified sound pressure distribution model.

[0029] By adopting the above technical solution, a more accurate noise optimization index can be established according to the target noise threshold and the modified sound pressure distribution model.

[0030] Optionally, establishing a power optimization index model according to a preset power rule includes the following steps:

[0031] Get the actual wind speed value;

[0032] A power optimization index model is established based on the actual wind speed value, the enable control level and the yaw control angle.

[0033] By adopting the above technical solution, the power optimization index is obtained, and the control level is enabled to participate in the control, making the control method more flexible.

[0034] Optionally, optimizing the power optimization index model and the noise optimization index model based on a preset algorithm to obtain an optimization result comprises the following steps:

[0035] Optimizing the power optimization index model and the noise optimization index model based on a preset algorithm to obtain a frontier solution set;

[0036] All elements in the frontier solution set are traversed to obtain a feasible solution, and the feasible solution is used as the optimization result.

[0037] By adopting the above technical solution, the power optimization index is further optimized and calculated according to the preset coding rules, so that the optimal operating parameters of the wind turbine are more accurate.

[0038] Optionally, analyzing the optimization result, obtaining the analysis result, and controlling the operation of the fan according to the analysis result comprises the following steps:

[0039] Determine whether the feasible solution is an empty set;

[0040] If the feasible solution is an empty set, a shutdown instruction is obtained as an analysis result, and a shutdown operation is performed according to the analysis result;

[0041] If the feasible solution is not an empty set, obtaining a feasible solution corresponding to the minimum power optimization index;

[0042] Based on the feasible solution corresponding to the minimum power optimization index, the operation of the wind turbine is controlled.

[0043] By adopting the above technical solution, the feasible solution is analyzed and judged, so that the fan operating parameters are more in line with objective reality.

[0044] Optionally, controlling the operation of the wind turbine based on the feasible solution corresponding to the minimum power optimization index includes the following steps:

[0045] Based on the minimum power optimization index, obtaining an enabling control level and a yaw control angle corresponding to the minimum power optimization index;

[0046] Based on the enabling control level and the yaw control angle corresponding to the minimum power optimization index, the operation of the wind turbine is controlled.

[0047] By adopting the above technical solution and taking the minimum power optimization index value as the control parameter of the wind turbine operation, the power loss of the wind turbine generator set can be reduced.

[0048] In a second aspect, the present application also provides a wind turbine noise control system, which adopts the following technical solution:

[0049] A wind turbine generator noise control system, comprising:

[0050] Acquisition module; used to obtain sound pressure test data;

[0051] An establishment module is used to establish a sound pressure distribution model according to the sound pressure test data, and is also used to process the sound pressure distribution model according to a preset sound pressure rule to obtain a modified sound pressure distribution model, and obtain a noise optimization index according to the modified sound pressure distribution model;

[0052] A processing module, used to establish a noise optimization index model based on the modified sound pressure distribution model, and also used to establish a power optimization index model according to a preset power rule;

[0053] An optimization module, used to optimize the power optimization index model and the noise optimization index model based on a preset algorithm to obtain an optimization result;

[0054] The analysis module is used to analyze the optimization result, obtain the analysis result, and control the operation of the fan according to the analysis result.

[0055] By adopting the above technical scheme, according to the sound pressure test data obtained by the acquisition module, the corresponding sound pressure distribution model is established through the establishment module, and the sound pressure test data is tested through the multi-objective test items in the sound pressure distribution model, so that the analysis of the fan noise is more accurate, and then the multiple target test items in the sound pressure distribution model are optimized according to the preset sound pressure rules to obtain a noise optimization index with a more obvious test effect. The establishment module sends the noise optimization index to the processing module, and the processing module further obtains the index parameters in the noise optimization index according to the preset power rules, and obtains the corresponding power generation power of the fan according to the index parameters to obtain the corresponding power optimization index. Then the processing module sends the power optimization index to the optimization module, and the optimization module analyzes the noise optimization index and the power optimization index according to the preset algorithm to obtain the corresponding calculation results. Finally, the analysis module analyzes the calculation results to obtain the control parameters that make the noise reduction effect optimal and the power generation loss minimum, and the fan operates according to the control parameters. A wind turbine noise control system provided by the present application can improve the noise control effect and reduce the loss of power generation.

[0056] Optionally, the establishing module includes:

[0057] A setting unit, used to set the test setting items of the sound pressure test data according to a preset distribution rule;

[0058] The testing unit is used to test the sound pressure test data according to the test setting items to obtain a target sound pressure test value, and is also used to establish the sound pressure distribution model according to the target sound pressure test value.

[0059] By adopting the above technical solution, the test setting items of the sound pressure test data are set according to the setting unit, so that the sound pressure test data can be better tested through the test unit, making the obtained sound pressure distribution model test effect more accurate.

[0060] In summary, the present application includes the following beneficial technical effects: establishing a corresponding sound pressure distribution model according to the sound pressure test data, performing sound pressure test on the sound pressure test data through the multi-objective test items in the sound pressure distribution model, thereby making the analysis of the fan noise more accurate, and then optimizing the multi-objective test items in the sound pressure distribution model according to the preset sound pressure rules, obtaining a noise optimization index with a more obvious test effect, further obtaining the index parameters in the noise optimization index according to the preset power rules, obtaining the corresponding power generation power of the fan according to the index parameters, and obtaining the corresponding power optimization index, and finally analyzing the noise optimization index and the power optimization index according to the preset algorithm, obtaining the control parameters that optimize the noise reduction effect and minimize the power generation loss, and the fan operates according to the control parameters. The noise control method for a wind turbine provided in the present application can improve the noise control effect and reduce the loss of power generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a schematic diagram of the overall process of a wind turbine noise control method of the present application.

[0062] Figure 2 It is a flow chart of steps S201 to S203 in a method for controlling noise of a wind turbine generator set of the present application.

[0063] Figure 3 It is a flow chart of step S301 to step S302 in a method for controlling noise of a wind turbine generator set of the present application.

[0064] Figure 4 It is a flow chart of step S401 to step S402 in a method for controlling noise of a wind turbine generator set of the present application.

[0065] Figure 5 It is a flow chart of steps S501 to S502 in a method for controlling noise of a wind turbine generator set of the present application.

[0066] Figure 6 It is a flow chart of steps S601 to S602 in a method for controlling noise of a wind turbine generator set of the present application.

[0067] Figure 7 It is a flow chart of steps S701 to S704 in a method for controlling noise of a wind turbine generator set of the present application.

[0068] Figure 8 It is a flow chart of steps S801 to S802 in a method for controlling noise of a wind turbine generator set of the present application.

[0069] Fig. 9 It is a schematic diagram of the overall module of a wind turbine noise control system of the present application.

[0070] Description of reference numerals:

[0071] 1. Acquisition module; 2. Establishment module; 21. Setting unit; 22. Testing unit; 3. Processing module; 4. Optimization module; 5. Analysis module. DETAILED DESCRIPTION

[0072] The following is combined with Figure 1-9 This application is described in further detail.

[0073] The present application discloses a method for controlling noise of a wind turbine generator set. Figure 1 , including the following steps:

[0074] S101, obtaining sound pressure test data;

[0075] S102, establishing a sound pressure distribution model according to the sound pressure test data;

[0076] S103, processing the sound pressure distribution model according to a preset sound pressure rule to obtain a modified sound pressure distribution model;

[0077] S104, establishing a noise optimization index model based on the modified sound pressure distribution model;

[0078] S105, establishing a power optimization index model according to preset power rules;

[0079] S106, optimizing the power optimization index model and the noise optimization index model based on a preset algorithm to obtain an optimization result;

[0080] S107, analyzing the optimization results, obtaining the analysis results, and controlling the operation of the fan according to the analysis results.

[0081] In actual application of step S101, in order to obtain sound pressure test data, it is first necessary to establish a reference wind direction. The reference wind direction takes the geographic east direction as 0 degrees and counterclockwise as positive. Then, a polar coordinate system of wind direction sensitive points and a polar coordinate system of wind turbine sound pressure distribution are established. By establishing the above-mentioned related coordinate systems, a series of sound pressure test data for sound pressure testing is obtained, thereby improving the accuracy of obtaining test data.

[0082] In actual application, steps S102 to S105 are to test the sound pressure test data according to the test rules to obtain the corresponding sound pressure distribution model, and then obtain the corresponding modified operating conditions according to relevant international standards, and obtain the fan sound pressure distribution model under the modified operating conditions according to the preset sound pressure rules, and refer to the national standard GBT17247.1-2000 to obtain the atmospheric absorption attenuation coefficient δ of the sound under the test conditions, and refer to the national standard GBT17247.1-2000 to obtain the atmospheric absorption attenuation coefficient δ' of the sound under the actual operating conditions of the fan; obtain the corresponding modified sound pressure distribution model according to the sound pressure distribution model, δ and δ', and then obtain the corresponding noise optimization index model according to the modified sound pressure distribution model.

[0083] According to the preset power rules, the relevant test coefficients in the noise optimization index are extracted, and then the corresponding power generation power of the wind turbine is obtained according to the test coefficients, so that the relatively optimal power generation power can be obtained while satisfying the noise reduction effect. Finally, the corresponding power optimization index model is obtained according to the test coefficients and the corresponding power generation power of the wind turbine.

[0084] In actual application, steps S106 to S107 analyze and calculate the power optimization index according to the preset algorithm to obtain the corresponding solution set, and use the solution set as the calculation result. By judging and analyzing the solution set, operating parameters with good noise reduction and power generation loss reduction effects are obtained, and the wind turbine operates according to the operating parameters.

[0085] The wind turbine noise control method provided in the present embodiment performs sound pressure testing on the sound pressure test data according to the multi-objective test items in the sound pressure distribution model established by the sound pressure test data, so as to make the analysis of the wind turbine noise more accurate; then the sound pressure distribution model is corrected according to the preset sound pressure rule to obtain a noise optimization index with more accurate test effect; further, the index parameters in the noise optimization index are obtained according to the preset power rule, and the power optimization index corresponding to the power generation power of the wind turbine is obtained according to the index parameters; finally, the noise optimization index and the power optimization index are analyzed according to the preset algorithm to obtain the control parameters that meet the optimal noise reduction effect and the minimum power generation loss, and the wind turbine operates according to the control parameters, so as to achieve the control effect of improving the noise and reduce the loss of power generation.

[0086] In one implementation of this embodiment, Figure 2 As shown, step S102 includes the following steps:

[0087] S201, setting test setting items of sound pressure test data according to a preset distribution rule;

[0088] S202, testing the sound pressure test data according to the test setting items to obtain a target sound pressure test value;

[0089] S203: Establish a sound pressure distribution model according to the target sound pressure test value.

[0090] In actual application, step S201 sets the test setting items of the sound pressure test data according to the preset distribution rules, and the test setting items are set according to the type of the sound pressure test data. For example, the sound pressure test data includes the fan noise data, and the sound pressure sensor for obtaining the fan noise data is set according to the test setting items; the sound pressure test data includes the sound pressure transmission distance, and the sound pressure sensor is set at different distances along the polar diameter direction of the wind wheel surface according to the test setting items to obtain the sound pressure transmission distance in turn, so that multiple influencing factors of the test fan noise can be obtained more comprehensively, making the subsequent analysis more convincing.

[0091] In actual application, steps S202 to S203 test the sound pressure test data according to each test setting item, and then obtain the target sound pressure test value corresponding to each item, and then establish the corresponding sound pressure distribution model for each target sound pressure test value by interpolation, so that the test results of the sound pressure test data can be more comprehensively displayed according to the sound pressure distribution model.

[0092] In one implementation of this embodiment, Figure 3 As shown, testing the sound pressure test data according to the test setting items and obtaining the target sound pressure test value includes the following steps:

[0093] S301, the test setting items include enabling control level, wind speed condition, wind direction condition and polar diameter;

[0094] S302: Obtain a test sound pressure value according to the enabled control level, the preset wind speed range, the wind direction condition and the polar diameter.

[0095] In actual application, steps S301 to S302 test the acquired sound test data according to the wind speed conditions and wind direction conditions in the test setting items, and then obtain the test sound pressure values ​​under different wind speed and wind direction conditions, and then match the corresponding enable control level and machine diameter to further obtain the corresponding target sound pressure test value.

[0096] For example, K enabling control levels are preset, denoted as C∈[0,1,2,...,K], each level corresponds to a different rated full-speed rotation; with the tower center as the origin, N sound pressure test sensors are set at different distances along the polar diameter direction of the wind wheel surface, and the sensor distance from the polar diameter R i Denoted as [R1, R2, ..., R i , R N ]; formulate a sound pressure test wind speed condition set and direction distribution set, the sound pressure test wind speed condition set preferably has a velocity slice set of V=[4, 4.1, 4.2, ..., 24.9, 25] with an interval of 0.1m / s, and the wind direction distribution condition preferably has θ=[0°, 3°, 6°, ..., 357°360°], traverse all V and θ, and record different polar diameters R i The target sound pressure test value at the location is recorded as f(C, V, θ, R i ). This allows for a more comprehensive test of the sound pressure test data.

[0097] In one implementation of this embodiment, Figure 4 As shown, step S104 includes the following steps:

[0098] S401, obtaining a target noise threshold;

[0099] S402: Establish a noise optimization index model based on the target noise threshold and the modified sound pressure distribution model.

[0100] In actual application, steps S401 to S402 obtain the target noise value in the target sound pressure test value according to the modified sound pressure distribution model, and then obtain the corresponding target noise threshold according to the target noise value. Then, by calculating the modified sound pressure distribution model and the target noise threshold, a series of noise optimization index models for optimizing fan noise can be obtained.

[0101] For example, the sound pressure distribution model of the fan under the modified operating conditions is obtained according to the preset sound pressure rule, and the atmospheric absorption attenuation coefficient δ of the sound under the test conditions is obtained by referring to the national standard GBT17247.1-2000. The atmospheric absorption attenuation coefficient δ' of the sound under the actual operating conditions of the fan is obtained by referring to the national standard GBT17247.1-2000. The corresponding modified sound pressure distribution model is obtained according to the sound pressure distribution model, δ and δ' and is recorded as:

[0102] ,

[0103] Among them, F′(C, V, β, R, δ, δ′) represents the target noise value at the control enable C, wind speed V, angle β with the wind wheel surface and polar diameter R, and the noise optimization index is further obtained:

[0104] ,

[0105] N obj It represents the target noise threshold allowed, where β=α1-α2-Φ, α1 represents the polar angle of the sensitive point relative to the center of the tower, α1 represents the wind direction, Φ represents the yaw control angle, counterclockwise is positive, δ represents the atmospheric absorption attenuation coefficient under test conditions, and δ′ represents the atmospheric absorption attenuation coefficient under operating conditions. Therefore, the various parameter values ​​of the wind turbine under noise optimization can be obtained according to the noise optimization index.

[0106] In one implementation of this embodiment, Figure 5 As shown, step S105 includes the following steps:

[0107] S501, obtaining actual wind speed value;

[0108] S502: Establish a power optimization index model based on the actual wind speed value, the enabling control level, and the yaw control angle.

[0109] In actual application, step S501 to step S502 calculates the enabling control level C, the actual wind speed value V and the yaw control angle Φ according to the preset power rule, and obtains the power optimization index as follows:

[0110] ,

[0111] Among them, P(C, V) indicates the power generation of the wind turbine when the control enable is C, the wind speed is V, and the yaw error is 0. Φ represents the yaw control angle, which is positive in the counterclockwise direction. Thus, the power optimization index of the wind turbine under the condition of noise optimization index can be obtained, and the power generation loss can be effectively reduced according to the power optimization index.

[0112] In one implementation of this embodiment, Figure 6 As shown, step S106 includes the following steps:

[0113] S601, optimizing the power optimization index model and the noise optimization index model based on a preset algorithm to obtain a frontier solution set;

[0114] S602, traverse all elements in the frontier solution set to obtain a feasible solution, and use the feasible solution as the optimization result.

[0115] In actual application, step S601 to step S602 are based on the firefly i position coding rule X i =[X i,1 , X i,2 ], where X i,1 Represents the target value of the enable control level, X i,1 ∈[0, 1, 2, ..., K], X i,2 Represents the yaw control angle value, X i,2 ∈[-25°, 25°]. The distance between fireflies i and j is defined as:

[0116] ,

[0117] The attraction of firefly i to firefly j is:

[0118] ,

[0119] Where β0 represents the attraction of the firefly when the distance is 0, and β0=1 is preferred. is the light absorption rate. Define the movement rule of firefly i to firefly j:

[0120] ,

[0121] Among them, α represents the random step factor, the value range is (0,1), rand is a random number that obeys the uniform distribution on (0,1), and int() represents rounding.

[0122] Define the firefly domination rule: Firefly p dominates firefly q: X p <X q＇ , satisfying the condition: f i (X p )≤f i (X q ), i=(1,2) and i∈{1,2} such that f i (X p ) <f i (X q ), then firefly p can be said to dominate firefly q. i Indicates the value of the i-th optimization index. Initialize α, β0, γ; set the maximum number of iterations of the firefly algorithm iter max, the total number of fireflies N, the individual firefly count i, i', and the iteration counter t=1, where α represents the random step factor, and β0 represents the attraction between fireflies when the distance between them is 0, which is generally set to 1.

[0123] Initialize the initial positions of N fireflies. Perform non-dominated sorting on all fireflies, and divide all fireflies into several non-intermingled sub-communities according to the dominance relationship, and record the sub-community layer number of each firefly, and record the layer number of firefly i as floor , the lower the layer, the more advanced the position. For any two fireflies i and i', if firefly i dominates firefly i', that is, i floor <i' floor , then firefly i' moves towards firefly i according to the movement rule; if i' floor floor , firefly i moves to firefly i' according to the movement rule; if i floor =i' floor , the fireflies themselves move randomly in a small range and update the position information of all fireflies.

[0124] The number of iterations increases by 1, that is, t=t+1. If t <iter max , then re-sort all fireflies in a non-dominated order, otherwise, sort all fireflies in a non-dominated order and output the frontier solution set that is in a dominant position .

[0125] According to the preset algorithm, the target value is optimized and the corresponding feasible solution is obtained as the calculation result. The position of the sensitive point is recorded as (α1, R), the wind speed is recorded as V, the wind direction is recorded as α2, and the frontier solution set is recorded as . Calculate all frontier solutions [X f i,1 , X f i,2 ]∈ The corresponding aerodynamic noise optimization index f i,1 and power optimization index fi,2, and the allowed target noise threshold N obj The difference between , where X f i,1 , X f i,2 Respectively represent the first and second components of the i-th frontier solution, traversing the frontier solution set All elements of Therefore, according to the firefly coding rules, the power optimization index can be analyzed and calculated more accurately, making the subsequent solution set more feasible.

[0126] In one implementation of this embodiment,​ Figure 7 As shown, step S107 includes the following steps:

[0127] S701, determining whether the feasible solution is an empty set;

[0128] S702: If the feasible solution is an empty set, a shutdown instruction is obtained as an analysis result, and a shutdown operation is performed according to the analysis result;

[0129] S703, if the feasible solution is not an empty set, obtaining a feasible solution corresponding to the minimum power optimization index;

[0130] S704. Control the operation of the wind turbine based on the feasible solution corresponding to the minimum power optimization index.

[0131] In actual application, steps S701 to S704 are performed by judging whether the feasible solution is an empty set. If the feasible solution is an empty set, a shutdown instruction is obtained as the analysis result, and the wind turbine performs a shutdown operation according to the analysis result; if the feasible solution is not an empty set, the power optimization index value is analyzed and selected as the analysis result, and the wind turbine operates according to the analysis result of the power optimization index value. Thus, when the wind turbine operates at the power optimization index value, more power generation is guaranteed.

[0132] In one implementation of this embodiment, Figure 8 As shown in FIG, based on the feasible solution corresponding to the minimum power optimization index, controlling the operation of the wind turbine includes the following steps:

[0133] S801. Based on the minimum power optimization index, obtain an enabling control level and a yaw control angle corresponding to the minimum power optimization index;

[0134] S802: Control the operation of the wind turbine based on the enabling control level and the yaw control angle corresponding to the minimum power optimization index.

[0135] In actual application, step S801 to step S802 selects the minimum value of the power optimization index value, that is, The corresponding element is taken as the optimal solution The analysis result is that the enabling control parameters executed by the fan are , the yaw control parameters are The fan is operated according to the above analysis results, thereby optimizing the multi-objective test items, which can ensure more power generation under the premise of satisfying the optimization of aerodynamic noise, which is conducive to ensuring the friendly operation of the fan to the surrounding environment and relatively minimizing the power generation loss.

[0136] The present application discloses a wind turbine generator noise control system. Fig. 9, including an acquisition module 1, an establishment module 2, a processing module 3, an optimization module 4 and an analysis module 5, wherein the acquisition module 1 is used to acquire sound pressure test data; the establishment module 2 is used to establish a sound pressure distribution model according to the sound pressure test data, and is also used to process the sound pressure distribution model according to a preset sound pressure rule to obtain a modified sound pressure distribution model, and obtain a noise optimization index according to the modified sound pressure distribution model; the processing module 3 is used to establish a noise optimization index model based on the modified sound pressure distribution model, and is also used to establish a power optimization index model according to a preset power rule; the optimization module 4 is used to optimize the power optimization index model and the noise optimization index model based on a preset algorithm to obtain an optimization result; the analysis module 5 is used to analyze the optimization result, obtain the analysis result, and control the fan operation according to the analysis result.

[0137] According to the sound pressure test data obtained by the acquisition module 1, the corresponding sound pressure distribution model is established by the establishment module 2, and the sound pressure test data is tested by the multi-objective test items in the sound pressure distribution model, so that the analysis of the fan noise is more accurate, and then the multi-objective test items in the sound pressure distribution model are optimized according to the preset sound pressure rules, and the establishment module 2 sends the noise optimization index to the processing module 3, and the noise optimization index with more obvious test effect is obtained through the processing module 3, and the index parameters in the noise optimization index are further obtained according to the preset power rules, and the corresponding power generation power of the fan is obtained according to the index parameters, and the corresponding power optimization index is obtained, and then the processing module 3 sends the power optimization index to the optimization module 4, and the optimization module 4 analyzes the noise optimization index and the power optimization index according to the preset algorithm to obtain the corresponding calculation results, and finally the analysis module 5 analyzes the calculation results to obtain the control parameters that make the noise reduction effect optimal and the power generation loss minimum, and the fan operates according to the control parameters. A wind turbine noise control system provided by the present application can improve the noise control effect and reduce the loss of power generation.

[0138] In one implementation of this embodiment, Fig. 9 As shown, the establishment module 2 includes a setting unit 21 and a testing unit 22. The setting unit 21 is used to set the test setting items of the sound pressure test data according to the preset distribution rules; the testing unit 22 is used to test the sound pressure test data according to the test setting items to obtain the target sound pressure test value, and is also used to establish a pressure distribution model according to the target sound pressure test value.

[0139] For example, the sound pressure test data includes the fan noise data, and the test setting item sets the sound pressure sensor for obtaining the fan noise data through the setting unit 21; the sound pressure test data includes the sound pressure transmission distance, and the test setting item sets the sound pressure sensor at different distances along the polar diameter direction of the wind wheel surface through the setting unit 21, and obtains the sound pressure transmission distance in turn, so that the multiple influencing factors of the test fan noise can be obtained more comprehensively, making the subsequent analysis more convincing. Each test setting item tests the sound pressure test data through the test unit 22, and then obtains the target sound pressure test value corresponding to each item, and then establishes the corresponding sound pressure distribution model for each target sound pressure test value in a linear interpolation manner. Therefore, the test results of the sound pressure test data can be more comprehensively displayed according to the sound pressure distribution model.

[0140] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for controlling noise of a wind turbine generator set, characterized in that: The following steps are involved: Obtain sound pressure test data; Establishing a sound pressure distribution model according to the sound pressure test data; Processing the sound pressure distribution model according to a preset sound pressure rule to obtain a modified sound pressure distribution model; Establishing a noise optimization index model based on the modified sound pressure distribution model; According to the preset power rules, a power optimization index model is established; Optimizing the power optimization index model and the noise optimization index model based on a preset algorithm to obtain an optimization result; Analyzing the optimization result, obtaining the analysis result, and controlling the operation of the fan according to the analysis result; Wherein, establishing the sound pressure distribution model according to the sound pressure test data comprises the following steps: Setting the test setting items of the sound pressure test data according to a preset distribution rule; Testing the sound pressure test data according to the test setting items to obtain a target sound pressure test value; Establishing the sound pressure distribution model according to the target sound pressure test value; The step of testing the sound pressure test data according to the test setting items to obtain a target sound pressure test value comprises the following steps: The test setting items include enabling control level, wind speed condition, wind direction condition and polar diameter; Acquire a test sound pressure value according to the enabling control level, the preset wind speed range, the wind direction condition and the polar diameter; Wherein, establishing a power optimization index model according to a preset power rule comprises the following steps: Get the actual wind speed value; Establishing a power optimization index model based on the actual wind speed value, the enabling control level and the yaw control angle; Among them, the power optimization index is: ； Each enabling control level C corresponds to a different rated full-speed rotation, and P(C, V) represents the power generation corresponding to the wind turbine when the actual wind speed is V and the yaw error is 0. Φ represents the yaw control angle, which is positive counterclockwise. The step of optimizing the power optimization index model and the noise optimization index model based on a preset algorithm to obtain an optimization result includes the following steps: Optimizing the power optimization index model and the noise optimization index model based on a preset algorithm to obtain a frontier solution set; Traversing all elements in the frontier solution set to obtain a feasible solution, and taking the feasible solution as the optimization result; The step of analyzing the optimization result, obtaining the analysis result, and controlling the operation of the fan according to the analysis result comprises the following steps: Determine whether the feasible solution is an empty set; If the feasible solution is an empty set, a shutdown instruction is obtained as an analysis result, and a shutdown operation is performed according to the analysis result; If the feasible solution is not an empty set, obtaining a feasible solution corresponding to the minimum power optimization index; Based on the feasible solution corresponding to the minimum power optimization index, the operation of the wind turbine is controlled.

2. A method for controlling noise of a wind turbine generator set according to claim 1, characterized in that: The establishing of the noise optimization index model based on the modified sound pressure distribution model comprises the following steps: Get the target noise threshold; A noise optimization index model is established based on the target noise threshold and the modified sound pressure distribution model.

3. A method for controlling noise of a wind turbine generator set according to claim 1, characterized in that: The controlling of the operation of the wind turbine based on the feasible solution corresponding to the minimum power optimization index comprises the following steps: Based on the minimum power optimization index, obtaining an enabling control level and a yaw control angle corresponding to the minimum power optimization index; Based on the enabling control level and the yaw control angle corresponding to the minimum power optimization index, the operation of the wind turbine is controlled.

4. A wind turbine noise control system, characterized in that: include: Acquisition module (1); used to acquire sound pressure test data; An establishing module (2) is used to establish a sound pressure distribution model according to the sound pressure test data, and is also used to process the sound pressure distribution model according to a preset sound pressure rule to obtain a modified sound pressure distribution model, and to obtain a noise optimization index according to the modified sound pressure distribution model; A processing module (3) is used to establish a noise optimization index model based on the modified sound pressure distribution model, and is also used to establish a power optimization index model according to a preset power rule; An optimization module (4) is used to optimize the power optimization index model and the noise optimization index model based on a preset algorithm to obtain an optimization result; An analysis module (5) is used to analyze the optimization result, obtain the analysis result, and control the operation of the fan according to the analysis result; Wherein, the establishment module (2) includes: A setting unit (21), used for setting a test setting item of the sound pressure test data according to a preset distribution rule; A testing unit (22), used to test the sound pressure test data according to the test setting items to obtain a target sound pressure test value, and also used to establish the sound pressure distribution model according to the target sound pressure test value; The step of testing the sound pressure test data according to the test setting items to obtain a target sound pressure test value comprises the following steps: The test setting items include enabling control level, wind speed condition, wind direction condition and polar diameter; Acquire a test sound pressure value according to the enabling control level, the preset wind speed range, the wind direction condition and the polar diameter; Wherein, establishing a power optimization index model according to a preset power rule comprises the following steps: Get the actual wind speed value; Establishing a power optimization index model based on the actual wind speed value, the enabling control level and the yaw control angle; Among them, the power optimization index is: ； Each enabling control level C corresponds to a different rated full-speed rotation, and P(C, V) represents the power generation corresponding to the wind turbine when the actual wind speed is V and the yaw error is 0. Φ represents the yaw control angle, which is positive counterclockwise. The step of optimizing the power optimization index model and the noise optimization index model based on a preset algorithm to obtain an optimization result includes the following steps: Optimizing the power optimization index model and the noise optimization index model based on a preset algorithm to obtain a frontier solution set; Traversing all elements in the frontier solution set to obtain a feasible solution, and taking the feasible solution as the optimization result; The step of analyzing the optimization result, obtaining the analysis result, and controlling the operation of the fan according to the analysis result comprises the following steps: Determine whether the feasible solution is an empty set; If the feasible solution is an empty set, a shutdown instruction is obtained as an analysis result, and a shutdown operation is performed according to the analysis result; If the feasible solution is not an empty set, obtaining a feasible solution corresponding to the minimum power optimization index; Based on the feasible solution corresponding to the minimum power optimization index, the operation of the wind turbine is controlled.

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