Load optimization control method and system for wind driven generator in wind power plant

Abstract

The invention provides a wind power plant wind driven generator load optimization control method and system. The technical scheme is characterized by comprising the steps of obtaining generator configuration data, generator adjustment parameter data and wind power environment data of a target wind driven generator; analyzing to obtain a generator bearing coefficient of the target wind driven generator; analyzing to obtain a bearing prediction coefficient of the target wind driven generator in the prediction time; obtaining a bearing adjustment coefficient of the target wind driven generator in the prediction time according to the generator bearing coefficient and the bearing prediction coefficient; obtaining an adjustment combination set of the target wind driven generator, and analyzing to obtain an adjustment combination coefficient corresponding to an adjustment combination in the adjustment combination set; analyzing to obtain an adjustment matching degree of the target wind driven generator and the adjustment combination; and obtaining a target adjustment combination according to the adjustment matching degree, and carrying out load optimization adjustment on the target wind driven generator within the prediction time according to the combination adjustment amount of the target adjustment combination. The accuracy of load optimization control of the wind driven generator is improved.

Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a method and system for optimizing the load control of wind turbine generators in a wind farm. Background Art

[0002] As the global demand for renewable energy continues to grow, wind power generation has been widely used and developed as a clean and renewable energy technology. However, with the continuous expansion of wind farms and the continuous improvement of the capacity of wind turbines, the load problem of wind turbines has become increasingly prominent. As the capacity of wind turbines continues to increase, their blade lengths, tower heights, etc. are also increasing, which makes the wind turbines bear greater loads during operation. Therefore, reasonable load optimization control and adjustment of wind turbines are of great significance to extending the service life of wind turbines and ensuring the normal operation of wind farms.

[0003] The load optimization control method for wind turbines in wind farms in related technologies is often unable to accurately obtain the parameters that need to be adjusted for the wind turbines based on the configuration of the wind turbines and the prediction of the wind environment. In addition, it is also unable to make effective combination adjustments to the wind turbines, resulting in a lack of accuracy in the load optimization control of the wind turbines. There is room for improvement. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a method and system for optimizing the load control of wind turbines in a wind farm, so as to improve the problem that the load optimization control method for wind turbines in a wind farm in the related art is often unable to accurately obtain the parameters that need to be adjusted of the wind turbine based on the configuration of the wind turbine and the prediction of the wind environment, and is also unable to perform effective combination adjustment of the wind turbine, resulting in a lack of accuracy in the load optimization control of the wind turbine.

[0005] In a first aspect of the present application, a method for optimizing load control of a wind turbine generator in a wind farm is provided, comprising the following steps:

[0006] Acquire generator configuration data, generator adjustment parameter data of the target wind turbine, and wind environment data of the target wind turbine within the prediction time;

[0007] The generator configuration data includes the generator blade data and the generator tower data of the target wind turbine; the generator adjustment parameter data includes the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine;

[0008] Analyzing the generator blade data to obtain a first load factor of the target wind turbine; analyzing the generator tower data to obtain a second load factor of the target wind turbine;

[0009] Obtaining a generator load factor of a target wind turbine generator according to the first load factor and the second load factor;

[0010] Analyze the wind environment data of the target wind turbine within the prediction time to obtain the load prediction coefficient of the target wind turbine within the prediction time;

[0011] Obtaining a load adjustment coefficient of a target wind turbine generator within a prediction time according to the generator load coefficient and the load prediction coefficient;

[0012] According to the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, an adjustment combination of the target wind turbine is obtained, each of the adjustment combinations corresponds to a combination adjustment amount, and an adjustment combination set is formed according to the adjustment combination;

[0013] Obtaining an adjustment combination coefficient corresponding to the adjustment combination according to the combined adjustment amount and the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine;

[0014] Matching analysis is performed on the load adjustment coefficient of the target wind turbine generator within the forecast time and the adjustment combination coefficient corresponding to the adjustment combination of the adjustment combination concentration to obtain the adjustment matching degree between the target wind turbine generator and the adjustment combination of the adjustment combination concentration;

[0015] A target adjustment combination in the adjustment combination set is obtained according to the adjustment matching degree, and load optimization adjustment is performed on the target wind turbine generator within the prediction time according to the combined adjustment amount of the target adjustment combination.

[0016] Preferably, the generator configuration data, generator adjustment parameter data of the target wind turbine, and wind environment data of the target wind turbine within the prediction time are obtained, specifically:

[0017] The generator blade data includes the wing type of the target wind turbine generator, and the blade length and blade twist angle of the target wind turbine generator;

[0018] The generator tower data includes a tower height value, a tower wall thickness value and a tower diameter of a target wind turbine;

[0019] The wind environment data includes the wind speed value and wind direction of the target wind turbine within the prediction time.

[0020] Preferably, the generator blade data is analyzed to obtain a first load factor of the target wind turbine, specifically:

[0021] Obtaining a blade weight value corresponding to the target wind turbine according to the wing type of the target wind turbine;

[0022] The blade weight value corresponding to the target wind turbine is taken and marked to obtain the blade weight value YQ; the blade length of the target wind turbine is taken and marked to obtain the blade length YC; the blade torsion angle of the target wind turbine is taken and marked to obtain the blade torsion angle YM;

[0023] The first load factor OCX of the target wind turbine generator is calculated by a first calculation function OCX=YQ×(a1×YC+a2×YM), wherein a1 and a2 are preset proportional factors.

[0024] Preferably, the generator tower data is analyzed to obtain a second load factor of the target wind turbine; and the generator load factor of the target wind turbine is obtained according to the first load factor and the second load factor, specifically:

[0025] The tower height value of the target wind turbine is taken and marked to obtain the tower height value TG; the tower wall thickness value of the target wind turbine is taken and marked to obtain the tower wall thickness value TH; the tower diameter of the target wind turbine is taken and marked to obtain the tower diameter TZ;

[0026] The second load times TCX of the target wind turbine generator is calculated by a second calculation function TCX=b1×TG+b2×TH+b3×TZ, wherein b1, b2, and b3 are preset proportional factors;

[0027] The generator load factor FCX of the target wind turbine is calculated by a third calculation function FCX=c1×OCX+c2×TCX, wherein c1 and c2 are preset proportional factors.

[0028] Preferably, the wind environment data of the target wind turbine generator within the prediction time is analyzed to obtain the load prediction coefficient of the target wind turbine generator within the prediction time, specifically:

[0029] Obtaining the angle between the wind direction of the target wind turbine within the prediction time and the rotor axis of the target wind turbine according to the wind direction of the target wind turbine within the prediction time, and obtaining the angle α by taking and marking the angle;

[0030] The wind speed value of the target wind turbine generator within the prediction time is obtained by taking and marking the wind speed value FS;

[0031] The load prediction coefficient CYX of the target wind turbine generator is calculated by the fourth calculation function CYX=d×FS×cosα, wherein d is a preset proportional factor.

[0032] Preferably, the load adjustment coefficient of the target wind turbine generator within the prediction time is obtained according to the generator load coefficient and the load prediction coefficient, specifically:

[0033] comparing the generator load factor of the target wind turbine with the load prediction factor of the target wind turbine within the prediction time;

[0034] If the generator load factor FCX of the target wind turbine is greater than or equal to the load prediction factor CYX of the target wind turbine within the prediction time;

[0035] The load adjustment coefficient CTX1 of the target wind turbine generator within the prediction time is calculated by the fifth calculation function CTX1=-β×(FCX-CYX), where β is a preset proportional factor;

[0036] If the generator load factor FCX of the target wind turbine is less than the load prediction factor CYX of the target wind turbine within the prediction time;

[0037] The load adjustment coefficient CTX2 of the target wind turbine generator within the prediction time is calculated by the sixth calculation function CTX2=δ×(CYX-FCX), wherein δ is a preset proportional factor.

[0038] Preferably, an adjustment combination of the target wind turbine is obtained according to the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, each of the adjustment combinations corresponds to a combination adjustment amount, and an adjustment combination set is formed according to the adjustment combination, specifically:

[0039] An adjustment combination of the target wind turbine is formed according to the pitch angle adjustment unit and the pitch angle adjustment amount of the target wind turbine, and the torque adjustment unit and the torque adjustment amount of the target wind turbine;

[0040] The combined adjustment amount includes a pitch angle adjustment amount and a torque adjustment amount;

[0041] The adjustment combination set includes at least one adjustment combination.

[0042] Preferably, the adjustment combination coefficient corresponding to the adjustment combination is obtained according to the combination adjustment amount and the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, specifically:

[0043] The pitch angle adjustment unit of the target wind turbine corresponds to a pitch angle unit adjustment coefficient, and the pitch angle unit adjustment coefficient is taken and marked to obtain the pitch angle unit adjustment coefficient JT;

[0044] The torque adjustment unit of the target wind turbine generator corresponds to a torque unit adjustment coefficient, and the torque unit adjustment coefficient is taken and marked to obtain the torque unit adjustment coefficient ZT;

[0045] The pitch angle adjustment amount in the adjustment combination is taken and marked to obtain the pitch angle adjustment amount JL; the torque adjustment amount in the adjustment combination is taken and marked to obtain the torque adjustment amount ZL;

[0046] The adjustment combination coefficient TZX corresponding to the adjustment combination is calculated by the seventh calculation function TZX=e1×JT×JL+e2×ZT×ZL, wherein e1 and e2 are preset proportional factors.

[0047] Preferably, the load adjustment coefficient of the target wind turbine generator within the prediction time is matched and analyzed with the adjustment combination coefficient corresponding to the adjustment combination in the adjustment combination set to obtain the adjustment matching degree between the target wind turbine generator and the adjustment combination in the adjustment combination set; the target adjustment combination in the adjustment combination set is obtained according to the adjustment matching degree, and the load optimization adjustment of the target wind turbine generator is performed within the prediction time according to the combination adjustment amount of the target adjustment combination, specifically:

[0048] The adjustment matching degree TPD between the target wind turbine generator and the adjustment combination centralized adjustment combination is calculated by the eighth calculation function TPD=ε×(CTZ-TZX), wherein ε is a preset proportional factor;

[0049] The adjustment combination in the adjustment combination set with the smallest adjustment matching degree TPD of the target wind turbine generator is marked as the target adjustment combination;

[0050] Marking the pitch angle adjustment amount in the target adjustment combination as a target pitch angle adjustment amount, and marking the torque adjustment amount in the target adjustment combination as a target torque adjustment amount;

[0051] The pitch angle adjustment unit of the target wind turbine is adjusted according to the target pitch angle adjustment amount; and the torque adjustment unit of the target wind turbine is adjusted according to the target torque adjustment amount.

[0052] In a second aspect of the present application, a wind farm wind turbine load optimization control system is provided, the system is applied to a wind farm wind turbine load optimization control method, the system comprising:

[0053] Acquisition module: acquiring the generator configuration data, generator adjustment parameter data of the target wind turbine, and the wind environment data of the target wind turbine within the prediction time;

[0054] The generator configuration data includes the generator blade data and generator tower data of the target wind turbine; the generator adjustment parameter data includes the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine;

[0055] The first analysis module: analyzes the generator blade data to obtain a first load factor of the target wind turbine; analyzes the generator tower data to obtain a second load factor of the target wind turbine;

[0056] Obtaining a generator load factor of a target wind turbine generator according to the first load factor and the second load factor;

[0057] The second analysis module: analyzes the wind environment data of the target wind turbine within the prediction time to obtain the load prediction coefficient of the target wind turbine within the prediction time;

[0058] Obtaining a load adjustment coefficient of a target wind turbine generator within a prediction time according to the generator load coefficient and the load prediction coefficient;

[0059] The third analysis module: obtaining an adjustment combination of the target wind turbine according to the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, wherein each of the adjustment combinations corresponds to a combination adjustment amount, and forming an adjustment combination set according to the adjustment combination;

[0060] Obtaining an adjustment combination coefficient corresponding to the adjustment combination according to the combined adjustment amount and the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine;

[0061] Optimization control module: matching and analyzing the load adjustment coefficient of the target wind turbine generator within the prediction time with the adjustment combination coefficient corresponding to the adjustment combination centralized adjustment combination, and obtaining the adjustment matching degree between the target wind turbine generator and the adjustment combination centralized adjustment combination;

[0062] A target adjustment combination in the adjustment combination set is obtained according to the adjustment matching degree, and load optimization adjustment is performed on the target wind turbine generator according to the combined adjustment amount of the target adjustment combination.

[0063] In summary, the beneficial effects of the present application are as follows: the present application obtains the generator load factor of the target wind turbine by analyzing the generator configuration data of the target wind turbine, obtains the load prediction coefficient of the target wind turbine within the prediction time by analyzing the wind environment data of the target wind turbine within the prediction time, and obtains the load adjustment coefficient of the target wind turbine within the prediction time based on the generator load factor and the load prediction coefficient; in addition, the adjustment combination of the target wind turbine is obtained based on the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, and the adjustment group corresponding to the adjustment combination is obtained based on the combination adjustment amount and the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine. combined coefficient; finally, the load adjustment coefficient of the target wind turbine within the prediction time is matched and analyzed with the adjustment combination coefficient corresponding to the adjustment combination in the adjustment combination set, and the adjustment matching degree between the target wind turbine and the adjustment combination in the adjustment combination set is obtained; the target adjustment combination in the adjustment combination set is obtained according to the adjustment matching degree, and the load of the target wind turbine is optimized and adjusted within the prediction time according to the combined adjustment amount of the target adjustment combination, so as to accurately obtain the load adjustment coefficient of the target wind turbine according to the configuration data of the wind turbine and the prediction of the wind environment data; in addition, the target adjustment combination of the wind turbine is obtained through matching analysis, which effectively improves the accuracy of the load optimization control of the target wind turbine. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the technical solutions of the embodiments of the present application, some of the drawings in the embodiments of the present application will be briefly described below. It should be understood that the following drawings only show some embodiments of the present application and therefore should not be considered as limiting the scope of the present application.

[0065] Figure 1 A schematic flow chart of a method for optimizing load control of a wind turbine generator in a wind farm provided in an embodiment of the present application;

[0066] Figure 2 A schematic structural diagram of a wind farm wind turbine load optimization control system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0067] Below is a combination of the embodiments and Figure 1 and Figure 2 The present application is further described in detail, but the implementation methods of the present application are not limited thereto.

[0068] Reference Figure 1 , which is a flow chart of a method for optimizing load control of wind turbine generators in a wind farm provided in an embodiment of the present application.

[0069] A method for optimizing the control of wind turbine loads in a wind farm comprises the following steps:

[0070] Acquire generator configuration data, generator adjustment parameter data of the target wind turbine, and wind environment data of the target wind turbine within the prediction time;

[0071] The generator configuration data includes the generator blade data and the generator tower data of the target wind turbine; the generator adjustment parameter data includes the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine;

[0072] Analyze the generator blade data to obtain the first load factor of the target wind turbine; analyze the generator tower data to obtain the second load factor of the target wind turbine;

[0073] Obtaining a generator load factor of a target wind turbine generator according to the first load factor and the second load factor;

[0074] Analyze the wind environment data of the target wind turbine within the prediction time to obtain the load prediction coefficient of the target wind turbine within the prediction time;

[0075] Obtaining the load adjustment coefficient of the target wind turbine within the prediction time according to the generator load coefficient and the load prediction coefficient;

[0076] According to the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, an adjustment combination of the target wind turbine is obtained, each adjustment combination corresponds to a combination adjustment amount, and an adjustment combination set is formed according to the adjustment combination;

[0077] Obtaining an adjustment combination coefficient corresponding to the adjustment combination according to the combination adjustment amount and the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine;

[0078] Matching analysis is performed on the load adjustment coefficient of the target wind turbine generator within the forecast time and the adjustment combination coefficient corresponding to the adjustment combination of the adjustment combination concentration to obtain the adjustment matching degree between the target wind turbine generator and the adjustment combination of the adjustment combination concentration;

[0079] According to the adjustment matching degree, a target adjustment combination in the adjustment combination set is obtained, and according to the combined adjustment amount of the target adjustment combination, the load of the target wind turbine is optimized and adjusted within the prediction time.

[0080] The generator configuration data, generator adjustment parameter data, and wind environment data of the target wind turbine within the prediction time are obtained, specifically:

[0081] The generator blade data includes the airfoil type of the target wind turbine generator, and the blade length and blade twist angle of the target wind turbine generator;

[0082] The generator tower data includes the tower height value, tower wall thickness value and tower diameter of the target wind turbine;

[0083] The wind environment data includes the wind speed and wind direction of the target wind turbine within the prediction time.

[0084] In some embodiments, the wing types of a wind turbine generally include flat airfoils, symmetrical airfoils, asymmetrical airfoils, etc. Different types of wings have different application scenarios and application effects.

[0085] The generator blade data is analyzed to obtain the first load factor of the target wind turbine, which is:

[0086] Obtaining a blade weight value corresponding to the target wind turbine according to the wing type of the target wind turbine;

[0087] The blade weight value corresponding to the target wind turbine is taken and marked to obtain the blade weight value YQ; the blade length of the target wind turbine is taken and marked to obtain the blade length YC; the blade torsion angle of the target wind turbine is taken and marked to obtain the blade torsion angle YM;

[0088] The first load factor OCX of the target wind turbine generator is calculated by a first calculation function OCX=YQ×(a1×YC+a2×YM), wherein a1 and a2 are preset proportional factors.

[0089] In some embodiments, if the blade weight value corresponding to the target wind turbine is 2, the blade weight value YQ is 2; if the blade length of the target wind turbine is 10 meters, the blade length YC is 10; if the blade torsion angle of the target wind turbine is 10 degrees, the blade torsion angle YM is 10; if the preset proportional factors a1 and a2 are 2 and 1, the first load factor OCX of the target wind turbine is calculated by the first calculation function OCX=YQ×(a1×YC+a2×YM) to be 60;

[0090] In addition, each wing type of the target wind turbine has a corresponding blade weight value, and the blade weight value can be obtained according to a preset wing type-blade weight value comparison table.

[0091] The generator tower data is analyzed to obtain the second load factor of the target wind turbine generator; the generator load factor of the target wind turbine generator is obtained according to the first load factor and the second load factor, which is specifically:

[0092] The tower height value of the target wind turbine is taken and marked to obtain the tower height value TG; the tower wall thickness value of the target wind turbine is taken and marked to obtain the tower wall thickness value TH; the tower diameter of the target wind turbine is taken and marked to obtain the tower diameter TZ;

[0093] The second load times TCX of the target wind turbine generator is calculated by a second calculation function TCX=b1×TG+b2×TH+b3×TZ, wherein b1, b2, and b3 are preset proportional factors;

[0094] The generator load factor FCX of the target wind turbine is calculated by a third calculation function FCX=c1×OCX+c2×TCX, wherein c1 and c2 are preset proportional factors.

[0095] In some embodiments, if the tower height of the target wind turbine is 40 meters, the tower height value TG is 40; if the tower wall thickness of the target wind turbine is 10 millimeters, the tower wall thickness value TH is 10; if the tower diameter of the target wind turbine is 2 meters, the tower diameter TZ is 2; if the preset proportional factors b1, b2, and b3 are 1, 1, and 5, the second load times TCX of the target wind turbine calculated by the second calculation function TCX=b1×TG+b2×TH+b3×TZ is 60;

[0096] If the first load number OCX of the target wind turbine is 60, the second load number TCX of the target wind turbine is 60, and the preset proportional factors c1 and c2 are 0.7 and 0.5, then the generator load factor FCX of the target wind turbine is calculated to be 72 by the third calculation function FCX=c1×OCX+c2×TCX.

[0097] The wind environment data of the target wind turbine within the prediction time is analyzed to obtain the load prediction coefficient of the target wind turbine within the prediction time, which is specifically:

[0098] According to the wind direction of the target wind turbine within the prediction time, the angle between the wind direction of the target wind turbine within the prediction time and the rotor axis of the target wind turbine is obtained, and the angle is obtained by taking and marking the angle α;

[0099] The wind speed value of the target wind turbine generator within the prediction time is obtained by taking and marking the wind speed value FS;

[0100] The load prediction coefficient CYX of the target wind turbine generator is calculated by the fourth calculation function CYX=d×FS×cosα, wherein d is a preset proportional factor.

[0101] In some embodiments, if the angle between the wind direction of the target wind turbine within the prediction time and the axis of the wind turbine rotor is 60 degrees, the angle α is taken as 60°; if the wind speed value of the target wind turbine within the prediction time is 10 meters / second, the wind speed value FS is taken as 10; if the preset proportional factor d is 10, the load prediction coefficient CYX of the target wind turbine calculated by the fourth calculation function CYX=d×FS×cosα is 50.

[0102] The load adjustment coefficient of the target wind turbine generator within the prediction time is obtained according to the generator load coefficient and the load prediction coefficient, which is:

[0103] comparing the generator load factor of the target wind turbine with the load prediction factor of the target wind turbine within the prediction time;

[0104] If the generator load factor FCX of the target wind turbine is greater than or equal to the load prediction factor CYX of the target wind turbine within the prediction time;

[0105] The load adjustment coefficient CTX1 of the target wind turbine generator within the prediction time is calculated by the fifth calculation function CTX1=-β×(FCX-CYX), where β is a preset proportional factor;

[0106] If the generator load factor FCX of the target wind turbine is less than the load prediction factor CYX of the target wind turbine within the prediction time;

[0107] The load adjustment coefficient CTX2 of the target wind turbine generator within the prediction time is calculated by the sixth calculation function CTX2=δ×(CYX-FCX), wherein δ is a preset proportional factor.

[0108] In some embodiments, if the generator load factor FCX of the target wind turbine is 60, the load prediction coefficient CYX of the target wind turbine within the prediction time is 50; at this time, the generator load factor FCX of the target wind turbine is greater than the load prediction coefficient CYX of the target wind turbine within the prediction time, and if the preset proportional factor β is 1, the load adjustment coefficient CTX1 of the target wind turbine within the prediction time is calculated by the fifth calculation function CTX1=-β×(FCX-CYX) to be -10;

[0109] If the generator load factor FCX of the target wind turbine is 40, the load prediction coefficient CYX of the target wind turbine within the prediction time is 50; at this time, the generator load factor FCX of the target wind turbine is less than the load prediction coefficient CYX of the target wind turbine within the prediction time. If the preset proportional factor δ is 1, the load adjustment coefficient CTX2 of the target wind turbine within the prediction time is calculated by the sixth calculation function CTX2=δ×(CYX-FCX) to be 10.

[0110] The adjustment combination of the target wind turbine is obtained according to the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine. Each adjustment combination corresponds to a combination adjustment amount, and an adjustment combination set is formed according to the adjustment combination, specifically:

[0111] An adjustment combination of the target wind turbine is formed according to the pitch angle adjustment unit and the pitch angle adjustment amount of the target wind turbine, and the torque adjustment unit and the torque adjustment amount of the target wind turbine;

[0112] The combined adjustment amount includes a pitch angle adjustment amount and a torque adjustment amount;

[0113] An adjustment combination set contains at least one adjustment combination.

[0114] In some embodiments, the pitch angle adjustment unit of the target wind turbine refers to the unit adjustment amount corresponding to the pitch angle of the target wind turbine, and the pitch angle adjustment amount refers to the number of unit adjustment amounts corresponding to the pitch angle. For example, the pitch angle adjustment amount can be 5, which refers to five unit adjustment amounts of the pitch angle; similarly, the torque adjustment unit of the target wind turbine refers to the unit adjustment amount corresponding to the torque of the target wind turbine, and the torque adjustment amount refers to the number of unit adjustment amounts corresponding to the torque.

[0115] The adjustment combination coefficient corresponding to the adjustment combination is obtained according to the combination adjustment amount and the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, which is specifically:

[0116] The pitch angle adjustment unit of the target wind turbine generator corresponds to a pitch angle unit adjustment coefficient, and the pitch angle unit adjustment coefficient is obtained by taking and marking the pitch angle unit adjustment coefficient JT;

[0117] The torque adjustment unit of the target wind turbine generator corresponds to a torque unit adjustment coefficient, and the torque unit adjustment coefficient is obtained by taking and marking the torque unit adjustment coefficient ZT;

[0118] The pitch angle adjustment amount in the adjustment combination is taken and marked to obtain the pitch angle adjustment amount JL; the torque adjustment amount in the adjustment combination is taken and marked to obtain the torque adjustment amount ZL;

[0119] The adjustment combination coefficient TZX corresponding to the adjustment combination is calculated by the seventh calculation function TZX=e1×JT×JL+e2×ZT×ZL, wherein e1 and e2 are preset proportional factors.

[0120] In some embodiments, if the pitch angle adjustment amount in the adjustment combination is 4, the pitch angle adjustment amount JL is 4; if the torque adjustment amount in the adjustment combination is 2, the torque adjustment amount ZL is 2; if the pitch angle unit adjustment coefficient is 10, the pitch angle unit adjustment coefficient JT is 10; if the torque unit adjustment coefficient is 9, the torque unit adjustment coefficient ZT is 9; at this time, if the preset proportional factors e1 and e2 are 1 and 1, the adjustment combination coefficient TZX corresponding to the adjustment combination calculated by the seventh calculation function TZX=e1×JT×JL+e2×ZT×ZL is 58;

[0121] It should be noted that the pitch angle unit adjustment coefficient refers to the load-bearing adjustment capacity corresponding to a single pitch angle adjustment unit; the torque unit adjustment coefficient refers to the load-bearing adjustment capacity corresponding to a single torque adjustment unit; the pitch angle unit adjustment coefficient and the torque unit adjustment coefficient can be obtained according to the preset configuration parameter table of the target wind turbine.

[0122] The load adjustment coefficient of the target wind turbine within the forecast time is matched and analyzed with the adjustment combination coefficient corresponding to the adjustment combination in the adjustment combination set, and the adjustment matching degree between the target wind turbine and the adjustment combination in the adjustment combination set is obtained; the target adjustment combination in the adjustment combination set is obtained according to the adjustment matching degree, and the load optimization adjustment of the target wind turbine is performed within the forecast time according to the combined adjustment amount of the target adjustment combination, specifically:

[0123] The adjustment matching degree TPD between the target wind turbine generator and the adjustment combination centralized adjustment combination is calculated by the eighth calculation function TPD=ε×(CTZ-TZX), wherein ε is a preset proportional factor;

[0124] The adjustment combination in the adjustment combination set with the smallest adjustment matching degree TPD of the target wind turbine generator is marked as the target adjustment combination;

[0125] Marking the pitch angle adjustment amount in the target adjustment combination as the target pitch angle adjustment amount, and marking the torque adjustment amount in the target adjustment combination as the target torque adjustment amount;

[0126] The pitch angle adjustment unit of the target wind turbine is adjusted according to the target pitch angle adjustment amount; and the torque adjustment unit of the target wind turbine is adjusted according to the target torque adjustment amount.

[0127] In some embodiments, if the load adjustment coefficient CTX of the target wind turbine within the prediction time is 60, the adjustment combination coefficient TZX corresponding to the adjustment combination is 58, and the preset proportional factor ε is 1, then the adjustment matching degree TPD of the target wind turbine and the adjustment combination centralized adjustment combination calculated by the eighth calculation function TPD=ε×(CTZ-TZX) is 2;

[0128] If the pitch angle adjustment amount in the target adjustment combination is 4 and the torque adjustment amount in the target adjustment combination is 1, four pitch angle adjustment units are adjusted for the target wind turbine and one torque adjustment unit is adjusted for the target wind turbine.

[0129] Reference Figure 2 FIG. 1 is a schematic diagram of a wind farm wind turbine load optimization control system provided by an embodiment of the present application, the system comprising:

[0130] Acquisition module: acquiring the generator configuration data, generator adjustment parameter data of the target wind turbine, and the wind environment data of the target wind turbine within the prediction time;

[0131] The generator configuration data includes the generator blade data and the generator tower data of the target wind turbine; the generator adjustment parameter data includes the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine;

[0132] The first analysis module: analyzes the generator blade data to obtain the first load factor of the target wind turbine; analyzes the generator tower data to obtain the second load factor of the target wind turbine;

[0133] Obtaining a generator load factor of a target wind turbine generator according to the first load factor and the second load factor;

[0134] The second analysis module: analyzes the wind environment data of the target wind turbine within the prediction time to obtain the load prediction coefficient of the target wind turbine within the prediction time;

[0135] Obtaining the load adjustment coefficient of the target wind turbine within the prediction time according to the generator load coefficient and the load prediction coefficient;

[0136] The third analysis module: obtaining an adjustment combination of the target wind turbine according to the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, each adjustment combination corresponds to a combination adjustment amount, and forming an adjustment combination set according to the adjustment combination;

[0137] Obtaining an adjustment combination coefficient corresponding to the adjustment combination according to the combination adjustment amount and the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine;

[0138] Optimization control module: matching and analyzing the load adjustment coefficient of the target wind turbine generator within the prediction time with the adjustment combination coefficient corresponding to the adjustment combination centralized adjustment combination, and obtaining the adjustment matching degree between the target wind turbine generator and the adjustment combination centralized adjustment combination;

[0139] A target adjustment combination in the adjustment combination set is obtained according to the adjustment matching degree, and the load of the target wind turbine is optimized and adjusted according to the combined adjustment amount of the target adjustment combination.

[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 optimizing the load control of a wind turbine generator in a wind farm, characterized in that: The following steps are involved: Acquire generator configuration data, generator adjustment parameter data of the target wind turbine, and wind environment data of the target wind turbine within the prediction time; The generator configuration data includes the generator blade data and the generator tower data of the target wind turbine; the generator adjustment parameter data includes the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine; Analyzing the generator blade data to obtain a first load factor of the target wind turbine; analyzing the generator tower data to obtain a second load factor of the target wind turbine; Obtaining a generator load factor of a target wind turbine generator according to the first load factor and the second load factor; Analyze the wind environment data of the target wind turbine within the prediction time to obtain the load prediction coefficient of the target wind turbine within the prediction time; Obtaining a load adjustment coefficient of a target wind turbine generator within a prediction time according to the generator load coefficient and the load prediction coefficient; According to the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, an adjustment combination of the target wind turbine is obtained, each of the adjustment combinations corresponds to a combination adjustment amount, and an adjustment combination set is formed according to the adjustment combination; Obtaining an adjustment combination coefficient corresponding to the adjustment combination according to the combined adjustment amount and the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine; Matching analysis is performed on the load adjustment coefficient of the target wind turbine generator within the forecast time and the adjustment combination coefficient corresponding to the adjustment combination of the adjustment combination concentration to obtain the adjustment matching degree between the target wind turbine generator and the adjustment combination of the adjustment combination concentration; A target adjustment combination in the adjustment combination set is obtained according to the adjustment matching degree, and load optimization adjustment is performed on the target wind turbine generator within the prediction time according to the combined adjustment amount of the target adjustment combination.

2. A method for optimizing the control of wind turbine loads in a wind farm according to claim 1, characterized in that: The generator configuration data, generator adjustment parameter data, and wind environment data of the target wind turbine within the prediction time are obtained, specifically: The generator blade data includes the wing type of the target wind turbine generator, and the blade length and blade twist angle of the target wind turbine generator; The generator tower data includes a tower height value, a tower wall thickness value and a tower diameter of a target wind turbine; The wind environment data includes the wind speed value and wind direction of the target wind turbine within the prediction time.

3. A method for optimizing the control of wind turbine loads in a wind farm according to claim 2, characterized in that: The generator blade data is analyzed to obtain the first load factor of the target wind turbine, which is specifically: Obtaining a blade weight value corresponding to the target wind turbine according to the wing type of the target wind turbine; The blade weight value corresponding to the target wind turbine is taken and marked to obtain the blade weight value YQ; The blade length of the target wind turbine is taken and marked to obtain the blade length YC; The blade torsion angle of the target wind turbine is taken and marked to obtain the blade torsion angle YM; The first load factor OCX of the target wind turbine generator is calculated by a first calculation function OCX=YQ×(a1×YC+a2×YM), wherein a1 and a2 are preset proportional factors.

4. A method for optimizing the control of wind turbine loads in a wind farm according to claim 3, characterized in that: The generator tower data is analyzed to obtain a second load factor of the target wind turbine; and the generator load factor of the target wind turbine is obtained according to the first load factor and the second load factor, specifically: The tower height value of the target wind turbine is obtained by taking and marking the tower height value TG; the tower wall thickness value of the target wind turbine is obtained by taking and marking the tower wall thickness value TH; The tower diameter of the target wind turbine is taken and marked to obtain the tower diameter TZ; The second load times TCX of the target wind turbine generator is calculated by a second calculation function TCX=b1×TG+b2×TH+b3×TZ, wherein b1, b2, and b3 are preset proportional factors; The generator load factor FCX of the target wind turbine is calculated by a third calculation function FCX=c1×OCX+c2×TCX, wherein c1 and c2 are preset proportional factors.

5. A method for optimizing the control of wind turbine loads in a wind farm according to claim 4, characterized in that: The wind environment data of the target wind turbine within the prediction time is analyzed to obtain the load prediction coefficient of the target wind turbine within the prediction time, which is specifically: Obtaining the angle between the wind direction of the target wind turbine within the prediction time and the rotor axis of the target wind turbine according to the wind direction of the target wind turbine within the prediction time, and obtaining the angle α by taking and marking the angle; The wind speed value of the target wind turbine generator within the prediction time is obtained by taking and marking the wind speed value FS; The load prediction coefficient CYX of the target wind turbine generator is calculated by the fourth calculation function CYX=d×FS×cosα, wherein d is a preset proportional factor.

6. A method for optimizing the control of wind turbine loads in a wind farm according to claim 5, characterized in that: The load adjustment coefficient of the target wind turbine generator within the prediction time is obtained according to the generator load coefficient and the load prediction coefficient, specifically: comparing the generator load factor of the target wind turbine with the load prediction factor of the target wind turbine within the prediction time; If the generator load factor FCX of the target wind turbine is greater than or equal to the load prediction factor CYX of the target wind turbine within the prediction time; The load adjustment coefficient CTX1 of the target wind turbine generator within the prediction time is calculated by the fifth calculation function CTX1=-β×(FCX-CYX), where β is a preset proportional factor; If the generator load factor FCX of the target wind turbine is less than the load prediction factor CYX of the target wind turbine within the prediction time; The load adjustment coefficient CTX2 of the target wind turbine generator within the prediction time is calculated by the sixth calculation function CTX2=δ×(CYX-FCX), wherein δ is a preset proportional factor.

7. A method for optimizing the control of wind turbine loads in a wind farm according to claim 6, characterized in that: The adjustment combination of the target wind turbine is obtained according to the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, each of the adjustment combinations corresponds to a combination adjustment amount, and an adjustment combination set is formed according to the adjustment combination, specifically: An adjustment combination of the target wind turbine is formed according to the pitch angle adjustment unit and the pitch angle adjustment amount of the target wind turbine, and the torque adjustment unit and the torque adjustment amount of the target wind turbine; The combined adjustment amount includes a pitch angle adjustment amount and a torque adjustment amount; The adjustment combination set includes at least one adjustment combination.

8. A method for optimizing the control of wind turbine loads in a wind farm according to claim 7, characterized in that: The adjustment combination coefficient corresponding to the adjustment combination is obtained according to the combined adjustment amount and the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, which is specifically: The pitch angle adjustment unit of the target wind turbine corresponds to a pitch angle unit adjustment coefficient, and the pitch angle unit adjustment coefficient is taken and marked to obtain the pitch angle unit adjustment coefficient JT; The torque adjustment unit of the target wind turbine generator corresponds to a torque unit adjustment coefficient, and the torque unit adjustment coefficient is taken and marked to obtain the torque unit adjustment coefficient ZT; The pitch angle adjustment amount in the adjustment combination is taken and marked to obtain the pitch angle adjustment amount JL; the torque adjustment amount in the adjustment combination is taken and marked to obtain the torque adjustment amount ZL; The adjustment combination coefficient TZX corresponding to the adjustment combination is calculated by the seventh calculation function TZX=e1×JT×JL+e2×ZT×ZL, wherein e1 and e2 are preset proportional factors.

9. A method for optimizing the control of wind turbine loads in a wind farm according to claim 8, characterized in that: The load adjustment coefficient of the target wind turbine generator within the prediction time is matched and analyzed with the adjustment combination coefficient corresponding to the adjustment combination in the adjustment combination set, and the adjustment matching degree between the target wind turbine generator and the adjustment combination in the adjustment combination set is obtained; the target adjustment combination in the adjustment combination set is obtained according to the adjustment matching degree, and the load optimization adjustment of the target wind turbine generator is performed within the prediction time according to the combination adjustment amount of the target adjustment combination, specifically: The adjustment matching degree TPD between the target wind turbine generator and the adjustment combination centralized adjustment combination is calculated by the eighth calculation function TPD=ε×(CTZ-TZX), wherein ε is a preset proportional factor; The adjustment combination in the adjustment combination set with the smallest adjustment matching degree TPD of the target wind turbine generator is marked as the target adjustment combination; Marking the pitch angle adjustment amount in the target adjustment combination as a target pitch angle adjustment amount, and marking the torque adjustment amount in the target adjustment combination as a target torque adjustment amount; The pitch angle adjustment unit of the target wind turbine is adjusted according to the target pitch angle adjustment amount; and the torque adjustment unit of the target wind turbine is adjusted according to the target torque adjustment amount.

10. A wind farm wind turbine load optimization control system, the system is used to implement a wind farm wind turbine load optimization control method according to any one of claims 1 to 9, characterized in that: The system includes: Acquisition module: acquiring the generator configuration data, generator adjustment parameter data of the target wind turbine, and the wind environment data of the target wind turbine within the prediction time; The generator configuration data includes the generator blade data and the generator tower data of the target wind turbine; the generator adjustment parameter data includes the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine; The first analysis module: analyzes the generator blade data to obtain a first load factor of the target wind turbine; analyzes the generator tower data to obtain a second load factor of the target wind turbine; Obtaining a generator load factor of a target wind turbine generator according to the first load factor and the second load factor; The second analysis module: analyzes the wind environment data of the target wind turbine within the prediction time to obtain the load prediction coefficient of the target wind turbine within the prediction time; Obtaining a load adjustment coefficient of a target wind turbine generator within a prediction time according to the generator load coefficient and the load prediction coefficient; The third analysis module: obtaining an adjustment combination of the target wind turbine according to the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine, wherein each of the adjustment combinations corresponds to a combination adjustment amount, and forming an adjustment combination set according to the adjustment combination; Obtaining an adjustment combination coefficient corresponding to the adjustment combination according to the combined adjustment amount and the pitch angle adjustment unit and the torque adjustment unit of the target wind turbine; Optimization control module: matching and analyzing the load adjustment coefficient of the target wind turbine generator within the prediction time with the adjustment combination coefficient corresponding to the adjustment combination centralized adjustment combination, and obtaining the adjustment matching degree between the target wind turbine generator and the adjustment combination centralized adjustment combination; A target adjustment combination in the adjustment combination set is obtained according to the adjustment matching degree, and load optimization adjustment is performed on the target wind turbine generator according to the combined adjustment amount of the target adjustment combination.

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