A wind power variable pitch system super capacitor adaptation selection method

Abstract

The application belongs to the technical field of wind power generation, and provides a wind power variable pitch system super capacitor adaptive selection method, comprising: obtaining multi-dimensional basic parameters of a wind power variable pitch system; based on the multi-dimensional basic parameters, combining a preset total efficiency of the wind power variable pitch system, calculating an emergency feathering total energy; according to the multi-dimensional basic parameters, determining a rated voltage of a capacitor module, and according to the rated voltage and the emergency feathering total energy, combining a multi-dimensional correction coefficient, calculating a dynamic actual capacity to form a preliminary series-parallel structure scheme; according to the multi-dimensional basic parameters, performing multi-dimensional collaborative checking on the series-parallel structure scheme, if the checking is passed but the single series capacity is insufficient, optimizing the series-parallel structure scheme to obtain an optimal super capacitor adaptive selection result. The scheme realizes the full life cycle adaptation of the wind power variable pitch system super capacitor, significantly improves the adaptation efficiency, and takes into account the safety reliability and scene applicability.

Description

Technical Field

[0001] This invention relates to the field of wind power generation technology, and in particular to a method for selecting and adapting supercapacitors for wind power pitch control systems. Background Technology

[0002] The pitch control system of a wind turbine generator is a core component ensuring the safe operation of the unit. Its backup power supply needs to provide sufficient energy to drive the blades to complete emergency feathering in emergency situations such as grid power failure and excessive wind speed, so as to prevent the unit from being damaged due to loss of control. Supercapacitors have become the mainstream choice for backup power supply of wind turbine pitch control systems due to their outstanding advantages such as high power density, fast charging and discharging speed, long cycle life and strong environmental adaptability. The rationality of their selection directly determines the reliability of emergency feathering, system operating costs and equipment lifespan.

[0003] Currently, the selection technology for supercapacitors in wind turbine pitch control systems is mainly divided into two categories: empirical selection method and single-dimensional verification method. The empirical selection method relies on the supercapacitor manufacturer's recommended parameters and past project application experience to determine the selection scheme by corresponding fixed capacitor capacity to the wind turbine power level. The single-dimensional verification method adds a single performance index verification such as power priority or capacity priority on the basis of emergency feathering energy demand calculation, forming a two-step selection mode of energy calculation and single index verification.

[0004] However, existing selection methods have significant technical flaws: First, the energy calculation process is simplified, estimating pitch drag torque only based on blade length and weight, without considering key influencing factors such as bearing friction and dynamic changes in wind load, resulting in excessively high deviations in energy demand calculations and failing to provide accurate basis for selection; Second, parameter matching lacks coupling logic, making low-voltage, large-capacitor solutions prone to insufficient power and rapid voltage drops, while high-voltage solutions lack dynamic redundancy design, making it difficult to adapt to complex operating conditions; Third, the verification dimension is singular, only verifying single indicators such as energy or power, which can easily lead to excessive selection redundancy, increasing costs, or insufficient reliability, causing safety risks.

[0005] It is evident that the existing supercapacitor selection schemes for wind power pitch systems suffer from technical problems such as low accuracy, insufficient reliability, and poor flexibility. Summary of the Invention

[0006] This invention provides a method for selecting and adapting supercapacitors for wind power pitch systems, which addresses the shortcomings of existing supercapacitor selection schemes for wind power pitch systems, such as low accuracy, insufficient reliability, and poor flexibility.

[0007] This invention provides a method for selecting and adapting supercapacitors for wind power pitch control systems, including: Obtain multi-dimensional basic parameters of the wind power pitch system; Based on the aforementioned multi-dimensional basic parameters and combined with the preset total efficiency of the wind power pitch system, the total energy for emergency feathering is calculated. Based on the aforementioned multi-dimensional basic parameters, the rated voltage of the capacitor module is determined, and based on the rated voltage and the total emergency feathering energy, combined with multiple maintenance positivity coefficients, the dynamic actual capacity is calculated to form a preliminary series-parallel structure scheme. Based on the aforementioned multi-dimensional basic parameters, the series-parallel structure scheme is subjected to multi-dimensional collaborative verification. If the verification passes but the capacity of a single string is insufficient, the series-parallel structure scheme is optimized to obtain the optimal supercapacitor selection result.

[0008] According to the supercapacitor adaptation selection method for wind power pitch systems provided by the present invention, based on the aforementioned multi-dimensional basic parameters and combined with the preset total efficiency of the wind power pitch system, the total emergency feathering energy is calculated, including: Based on the pitch bearing raceway diameter, bearing friction coefficient, and bearing raceway preload in the multi-dimensional basic parameters, as well as the pre-obtained pitch bearing axial force, the maximum pitch bearing friction force is calculated. Based on the blade length and blade weight, as well as the maximum pitch bearing friction, among the multi-dimensional basic parameters, the average pitch drag torque is calculated. Based on the average pitch drag torque, maximum pitch angle, and the pre-obtained total efficiency of the wind power pitch system, the total energy for emergency feathering is calculated.

[0009] According to the supercapacitor adaptation selection method for wind power pitch systems provided by this invention, based on the pitch bearing raceway diameter, bearing friction coefficient, and bearing raceway preload among the multi-dimensional basic parameters, as well as the pre-obtained pitch bearing axial force, the maximum pitch bearing friction force is calculated, including: Multiply the axial force of the pitch bearing by the raceway diameter of the pitch bearing to obtain the first intermediate value; The first intermediate value is added to twice the bearing raceway preload to calculate the second intermediate value; Multiply the coefficient of friction by the second intermediate value, and then divide the product by 2 to calculate the third intermediate value; The maximum pitch bearing friction force is calculated by multiplying the third intermediate value by a preset safety factor.

[0010] According to the supercapacitor adaptation selection method for wind power pitch systems provided by this invention, the average pitch drag torque is calculated based on the blade length and blade weight, as well as the maximum pitch bearing friction force, among the multi-dimensional basic parameters, including: The fourth intermediate value is calculated by multiplying the blade length and blade weight by the preset drag coefficient and gravitational acceleration. The average pitch resistance torque is calculated by adding the fourth intermediate value to the maximum pitch bearing friction force.

[0011] According to the supercapacitor adaptation selection method for wind power pitch systems provided by this invention, the total emergency feathering energy is calculated based on the average pitch drag torque, maximum pitch angle, and pre-obtained total efficiency of the wind power pitch system, including: Multiply the average pitch drag torque by the maximum pitch angle, and then divide the product by the pre-obtained total efficiency of the wind power pitch system to obtain the total emergency feathering energy.

[0012] According to the supercapacitor adaptation selection method for wind power pitch systems provided by this invention, the rated voltage of the capacitor module is determined based on the aforementioned multi-dimensional basic parameters, including: Based on the rated voltage of the pitch driver among the multi-dimensional basic parameters, the voltage range of the rated voltage of the capacitor module is determined. Within the voltage range, based on the rated voltage of the pitch driver and the rated voltage of the supercapacitor cell in the multi-dimensional basic parameters, the rated voltage of the capacitor module is obtained by rounding up.

[0013] According to the supercapacitor adaptation selection method for wind power pitch systems provided by the present invention, the dynamic actual capacity is calculated based on the rated voltage and the total emergency feathering energy, combined with multiple maintenance positivity coefficients, including: The sixth intermediate value is obtained by subtracting the square of the rated voltage from the square of the pre-obtained discharge cutoff voltage. The dynamic theoretical capacity is calculated by dividing twice the total emergency feathering energy by the sixth intermediate value; A temperature correction factor is determined based on the operating environment temperature, an aging correction factor is determined based on the designed service life, and a redundancy factor is preset to obtain a multi-maintenance correction factor. The actual dynamic capacity is obtained by multiplying the temperature correction factor, the aging correction factor, and the redundancy factor by the dynamic theoretical capacity.

[0014] According to the supercapacitor adaptation selection method for wind power pitch systems provided by the present invention, the series-parallel structure scheme is subjected to multi-dimensional collaborative verification based on the aforementioned multi-dimensional basic parameters, including: Based on the single-unit equivalent series resistance and the peak power of the pitch motor in the multi-dimensional basic parameters, the power of the series-parallel structure scheme is checked. Based on the average power of the pitch motor in the multi-dimensional basic parameters, the discharge time of the series-parallel structure scheme is checked. Based on some intermediate parameters obtained from the power verification and the discharge time verification, the equivalent series resistance power loss of the series-parallel structure scheme is verified.

[0015] According to the supercapacitor adaptation selection method for wind power pitch control systems provided by the present invention, the series-parallel structure scheme is optimized, including: Based on the dynamic actual capacity and the pre-obtained single-string capacity, the optimized number of parallel connections is determined by rounding up. Based on the optimized number of parallel connections, the optimized total capacity and total equivalent series resistance are determined, resulting in the optimized series-parallel structure scheme.

[0016] The supercapacitor adaptation and selection method for wind turbine pitch control systems provided by this invention achieves full lifecycle adaptation of supercapacitors in wind turbine pitch control systems through multi-dimensional parameter acquisition, accurate energy calculation, dynamic capacity correction, multi-dimensional collaborative verification, and series-parallel structure optimization. By calculating the total energy of emergency feathering and enhancing the reliability of emergency feathering with multiple maintenance positive coefficients, the failure rate is effectively reduced. At the same time, through multi-dimensional collaborative verification and series-parallel structure optimization, the volume and weight of capacitor modules are reduced, saving material costs and avoiding waste caused by excessive redundancy. Moreover, the standardized calculation framework is applicable to mainstream wind turbine models and different blade specifications, with strong versatility. It does not require separate modeling for specific models, significantly improving adaptation efficiency and taking into account both safety, reliability, and scenario applicability. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is one of the flowcharts illustrating the supercapacitor adaptation and selection method for wind power pitch control systems provided in this embodiment of the invention. Figure 2 This is the second flowchart illustrating the supercapacitor adaptation and selection method for wind power pitch systems provided in this embodiment of the invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0020] First, the relevant technical terms involved in this invention will be explained as follows: Equivalent series resistance, abbreviated as ESR, refers to the equivalent value of the inherent resistance of the internal electrodes, electrolyte, current collector, etc. of a supercapacitor.

[0021] The rated voltage of a single supercapacitor refers to its rated operating voltage.

[0022] The module's rated voltage refers to the module's operating voltage formed by connecting supercapacitors in series and parallel.

[0023] Discharge cutoff voltage refers to the lowest allowable discharge voltage of a supercapacitor.

[0024] Dynamic theoretical capacity refers to the ideal capacitor capacity that only meets the emergency feathering energy demand, without considering factors such as temperature and aging degradation.

[0025] Dynamic actual capacity refers to the final selected capacity after temperature, aging, and redundancy correction.

[0026] Single-string capacity refers to the total capacity of a supercapacitor series branch.

[0027] Total equivalent series resistance refers to the overall equivalent series resistance of the supercapacitor module.

[0028] Emergency feathering refers to the emergency operation of quickly adjusting the blades to the feathering position (i.e., minimizing the windward side) to stop the wind turbine when the power grid fails, the wind speed exceeds the limit, or other malfunctions occur.

[0029] The average pitch drag torque refers to the drag torque that the pitch system needs to overcome when driving the blades to rotate.

[0030] Maximum pitch bearing friction refers to the maximum torque generated by the friction between the raceway and rolling elements of the pitch bearing.

[0031] Maximum pitch angle refers to the maximum rotation angle of the blade from the working position to the feathering position.

[0032] The peak power of the pitch motor refers to the maximum output power of the pitch motor during emergency feathering.

[0033] Emergency feathering total energy refers to the total energy required by the pitch control system during an emergency feathering operation.

[0034] The following is combined Figures 1 to 2 This invention describes the detailed scheme of the supercapacitor adaptation and selection method for wind power pitch system provided in the embodiments of the present invention.

[0035] like Figure 1As shown in the embodiment of the present invention, the method for selecting a supercapacitor for a wind power pitch system mainly includes the following steps: Step 110: Obtain multi-dimensional basic parameters of the wind power pitch system.

[0036] In this embodiment, the multi-dimensional basic parameters obtained in the basic parameter acquisition stage mainly involve three dimensions: blade characteristic parameters, pitch system parameters, and capacitance characteristics and environmental parameters, which can provide data basis for subsequent steps.

[0037] Step 120: Based on multi-dimensional basic parameters and combined with the preset total efficiency of the wind power pitch system, calculate the total energy of emergency feathering.

[0038] Specifically, the corrected average pitch drag torque can be calculated first using the coupling formula of blade gravity torque and pitch bearing friction torque, and then combined with the overall efficiency of the pitch system to calculate the total energy of emergency feathering.

[0039] Step 130: Based on the multi-dimensional basic parameters, determine the rated voltage of the capacitor module, and based on the rated voltage and the total emergency feathering energy, combined with the multi-maintenance positive coefficient, calculate the dynamic actual capacity to form a preliminary series-parallel structure scheme.

[0040] In the supercapacitor parameter coupling matching stage, the rated voltage of the capacitor module can be determined first. This process needs to meet the requirements of the driver. The number of individual cells in series can be obtained by rounding up. Then, by using multiple maintenance positive coefficients such as temperature, aging, and redundancy, the dynamic actual capacity can be calculated, thus forming a preliminary series-parallel structure scheme.

[0041] Step 140: Based on the multi-dimensional basic parameters, perform multi-dimensional collaborative verification of the series-parallel structure scheme. If the verification passes but the single string capacity is insufficient, optimize the series-parallel structure scheme to obtain the optimal supercapacitor selection result.

[0042] In this embodiment, for the formation of a preliminary series-parallel structure scheme, multi-dimensional collaborative verification can be carried out from three dimensions: power, discharge time, and ESR (Equivalent Series Resistance) power loss. This verifies whether the safety and reliability requirements under all operating conditions are met. If the requirements are not met, the process returns to step 130 to adjust the parameters, forming a closed-loop process of matching-verification-correction.

[0043] In one embodiment, combined with Figure 2 As shown, in the basic parameter acquisition S1 stage, multi-dimensional basic parameters of the wind power pitch system are acquired, specifically including: On the one hand, the blade length, blade weight, pitch bearing raceway diameter, bearing friction coefficient, and bearing raceway preload of the wind power pitch system are obtained to obtain the blade characteristic parameters.

[0044] On the other hand, the peak power and average power of the pitch motor, the rated voltage of the pitch driver, and the maximum pitch angle are obtained to obtain the pitch system parameters.

[0045] On the other hand, the rated voltage, equivalent series resistance, operating temperature, and designed service life of each supercapacitor cell are obtained to determine the capacitor characteristics and environmental parameters.

[0046] Finally, blade characteristic parameters, pitch system parameters, capacitance characteristics, and environmental parameters are used as multi-dimensional basic parameters.

[0047] In one embodiment, combined with Figure 2 As shown, in the S2 stage of precise calculation of energy demand for the pitch system, based on multi-dimensional basic parameters and combined with the preset total efficiency of the wind power pitch system, the total energy for emergency feathering is calculated, specifically including: First, based on the pitch bearing raceway diameter, bearing friction coefficient, bearing raceway preload, and the pre-obtained pitch bearing axial force, the maximum pitch bearing friction force is calculated.

[0048] In a specific implementation, the maximum pitch bearing friction force is calculated based on the pitch bearing raceway diameter, bearing friction coefficient, and bearing raceway preload from the blade characteristic parameters, as well as the pre-obtained pitch bearing axial force. Specifically, this includes: The first step is to multiply the axial force of the pitch bearing by the raceway diameter of the pitch bearing to obtain the first intermediate value.

[0049] The second step is to add the first intermediate value to twice the bearing raceway preload to calculate the second intermediate value.

[0050] The third step is to multiply the coefficient of friction with the second intermediate value, and then divide the product by 2 to calculate the third intermediate value.

[0051] The fourth step is to multiply the third intermediate value by the preset safety factor to calculate the maximum pitch bearing friction force.

[0052] In this embodiment, the formula for calculating the maximum pitch bearing friction force is: (1) in, This represents the maximum frictional force of the pitch bearing. For safety factors, a value of 1.0-1.25 is generally selected. The axial force of the pitch bearing is obtained from wind turbine load simulation. The bearing friction coefficient; This refers to the raceway diameter of the pitch bearing; This is the preload force for the bearing raceway.

[0053] Then, based on the blade length and weight, as well as the maximum pitch bearing friction, the average pitch drag torque is calculated.

[0054] In a specific implementation, combined with Figure 2 In step S2.1 of the pitch control drag torque calculation, based on the blade length and weight, as well as the maximum pitch bearing friction, the average pitch drag torque is calculated, specifically including: The first step is to multiply the blade length and blade weight by the preset drag coefficient and gravitational acceleration to calculate the fourth intermediate value.

[0055] The second step is to add the fourth intermediate value to the maximum pitch bearing friction force to calculate the average pitch drag torque.

[0056] In this embodiment, the formula for calculating the average pitch drag torque is: (2) in, The average drag torque of the pitch control; This is the drag coefficient, typically ranging from 0.3 to 0.5, which can be corrected based on the aerodynamic characteristics of the blades. g The acceleration due to gravity is taken as 9.8 m / s². This represents the maximum frictional force of the pitch bearing.

[0057] Finally, based on the average pitch drag torque, the maximum pitch angle, and the pre-obtained total efficiency of the wind power pitch system, the total energy for emergency feathering is calculated.

[0058] In a specific implementation, combined with Figure 2 In step S2.2, the total energy calculation for emergency feathering is performed based on the average pitch drag torque, maximum pitch angle, and the pre-obtained total efficiency of the wind power pitch system. This calculation includes: Multiply the average pitch drag torque by the maximum pitch angle, and then divide the product by the pre-obtained total efficiency of the wind power pitch system to obtain the total emergency feathering energy.

[0059] In this embodiment, the formula for calculating the total energy of emergency feathering is: (3) in, E Total energy for emergency feathering; The total efficiency of the pitch system is typically 0.85-0.95, which includes motor efficiency, transmission efficiency, and capacitor charging and discharging efficiency. This represents the maximum pitch angle.

[0060] In one embodiment, combined with Figure 2In step S3.1 of the medium voltage rating determination process, the rated voltage of the capacitor module is determined based on multiple fundamental parameters, specifically including: First, based on the rated voltage of the pitch driver, determine the voltage range of the rated voltage of the capacitor module.

[0061] Then, within the voltage range, based on the rated voltage of the pitch drive and the rated voltage of the supercapacitor cells, the rated voltage of the capacitor module is obtained by rounding up.

[0062] In this embodiment, the rated voltage of the capacitor module Must meet: (4) in, This is the rated voltage for the pitch drive.

[0063] Therefore, higher voltage levels are preferred to reduce capacitor capacity requirements. The specific calculation formula is as follows: (5) in, This is the rated voltage of the capacitor module; ceil ( ) is the floor function, ensuring the number of serially connected units is... It is an integer; This refers to the rated voltage of a single supercapacitor cell.

[0064] In one embodiment, combined with Figure 2 In step S3.2 of the dynamic capacity calculation, based on the rated voltage and total emergency feathering energy, and combined with multiple maintenance positive coefficients, the actual dynamic capacity is calculated, specifically including: The first step is to subtract the square of the rated voltage from the square of the pre-obtained discharge cutoff voltage to obtain the sixth intermediate value.

[0065] The second step is to divide twice the total emergency feathering energy by the sixth intermediate value to calculate the dynamic theoretical capacity.

[0066] In this embodiment, the formula for calculating the dynamic theoretical capacity considering temperature decay and aging decay is as follows: (6) in, C 理论 For dynamic theoretical capacity; This is the discharge cutoff voltage, which satisfies... .

[0067] The third step is to determine the temperature correction coefficient based on the working environment temperature, the aging correction coefficient based on the designed service life, and to pre-set the redundancy coefficient to obtain the multi-maintenance correction coefficient.

[0068] The fourth step is to multiply the temperature correction factor, aging correction factor, and redundancy factor by the dynamic theoretical capacity to obtain the dynamic actual capacity.

[0069] In this embodiment, the formula for calculating the dynamic actual capacity is: (7) in, For dynamic actual capacity; This is a temperature correction factor. This indicates that for every 1°C decrease in temperature, the capacity decreases by 0.8%. T Operating ambient temperature; This is the aging correction factor. This indicates a 2% capacity decay per year. Y Indicates the design service life; This is a redundancy coefficient, which can be adjusted according to the wind speed fluctuation rate of the wind field, and is generally taken as 1.2-1.5.

[0070] Therefore, Figure 2 The S3 process of parameter coupling matching for the supercapacitor has been completed, and the resulting preliminary series-parallel structure scheme contains three key elements, as follows: Series parameters: Determine the number of capacitor cells connected in series in the capacitor module and the corresponding rated voltage of the module.

[0071] Parallel parameters: include the number of parallel branches and the capacitance of a single string capacitor, which are initially determined based on the dynamic actual capacity.

[0072] Core performance parameters: These include the preliminary calculated total module capacity and total equivalent series resistance, which can provide a basic performance basis for subsequent multi-dimensional collaborative verification.

[0073] In one embodiment, combined with Figure 2 The S4 step of the multi-dimensional collaborative verification process involves performing a multi-dimensional collaborative verification of the series-parallel structure scheme based on multi-dimensional basic parameters. Specifically, this includes: On the one hand, the power of the series-parallel structure scheme is checked based on the equivalent series resistance of the individual unit and the peak power of the pitch motor.

[0074] First, calculate the total equivalent series resistance of the capacitor module. The calculation formula is as follows: (8) in, The total equivalent series resistance is... The number of series connections, This is the equivalent series resistance of a single unit. The number of parallel connections.

[0075] Then, the maximum output power of the capacitor module is calculated and verified to be greater than or equal to 1.2 times the peak power of the pitch motor, to ensure that sufficient power can be provided in emergency feathering.

[0076] In this embodiment, the formula for calculating the maximum output power is: (9) in, P max For maximum output power, This represents the peak power of the pitch motor.

[0077] On the other hand, the discharge time of the series-parallel structure scheme is checked based on the average power of the pitch motor.

[0078] In this embodiment, the average discharge current is first calculated, and the specific calculation formula is as follows: (10) in, I avg This represents the average discharge current.

[0079] Then, the discharge duration is calculated, which must meet the safety requirement of being greater than or equal to 30 seconds to ensure the complete execution of the feathering action.

[0080] Specifically, the formula for calculating the discharge duration is: (11) in, This represents the discharge duration.

[0081] On the other hand, based on some intermediate parameters obtained from the power verification and discharge time verification, the equivalent series resistance power loss of the series-parallel structure scheme is verified.

[0082] During this process, it is necessary to calculate the power loss during capacitor discharge and control the power loss to be less than or equal to 50W in order to avoid overheating and damage to the capacitor module and ensure operational safety.

[0083] Specifically, the formula for calculating power loss is: (12) in, P loss This refers to power loss.

[0084] In practical applications, voltage drop verification can be added to replace part of the ESR verification function, temperature rise verification can be used to replace ESR power loss verification, and fuzzy comprehensive evaluation method can be used to replace the above threshold judgment step.

[0085] In one embodiment, the optimization of the series-parallel structure scheme specifically includes: First, based on the dynamic actual capacity and the pre-obtained single-string capacity, the optimized number of parallel connections is determined by rounding up.

[0086] Then, based on the optimized number of parallel connections, the optimized total capacity and total equivalent series resistance are determined, resulting in the optimized series-parallel structure scheme.

[0087] In this embodiment, if the capacity of a single string is insufficient, optimization is achieved by increasing the number of parallel connections. The optimized number of parallel connections can be expressed as: (13) in, For the optimized number of parallel connections, For the capacitance of a single string capacitor, This is the floor function.

[0088] Furthermore, the optimized total capacity can be expressed as: (14) in, This represents the optimized total capacity.

[0089] The optimized total equivalent series resistance can be expressed as: (15) in, The optimized total equivalent series resistance, It is the equivalent series resistance of a single unit.

[0090] In practical applications, the optimal selection results for supercapacitors can be presented in the form of a selection report. The generation of the selection report is based on the core support of the entire selection process data. First, the system collects the raw data of three dimensions, namely blade characteristics, pitch system, capacitor and environment, from the basic parameter acquisition stage. Then, it integrates the calculation logic, formulas and results of the total energy of emergency feathering. Simultaneously, it includes the basis for determining the rated voltage of the capacitor module, the value and calculation process of the three-dimensional correction coefficient of the dynamic actual capacity, and the verification formulas, judgment criteria and verification results of various indicators for multi-dimensional collaborative verification. Finally, it incorporates the adjustment logic of series and parallel structure optimization, the final determined structural parameters and core results such as total capacity and total ESR. At the same time, it supplements the full life cycle adaptability analysis including the impact of temperature and aging on capacitor performance. After data verification and logical sorting, it is integrated to form a complete selection report, ensuring that the report data is detailed and the logic is clear, which can directly provide a basis for engineering applications.

[0091] In summary, this invention focuses on precise quantification, full life-cycle reliability, and engineering adaptation optimization. It breaks away from the traditional extensive model of wind turbine pitch supercapacitor selection based on experience, single-index verification, and fixed redundancy. Instead, it establishes an adaptation selection system that couples load, system, and environment in all dimensions. This ensures that the capacitor meets the safety requirements for emergency feathering under all operating conditions, including full temperature range, full life cycle, extreme wind speed, and bearing wear, while achieving a balance between non-redundant capacity, cost-effectiveness, and feasible structure.

[0092] Specifically, the supercapacitor adaptation and selection method for wind power pitch control systems provided by this invention has at least the following advantages compared with existing solutions: First, the selection accuracy is improved. By correcting bearing friction and coupling dynamic loads, the error in energy demand calculation is effectively reduced, resulting in higher selection accuracy.

[0093] Second, reliability is enhanced. The dynamic redundancy coefficient adapts to temperature and aging degradation, improving the success rate of emergency feathering and reducing the failure rate.

[0094] Third, cost reduction: high-voltage, low-capacity coupling matching reduces the size and weight of capacitor modules, saving material costs.

[0095] Fourth, it is highly versatile and applicable to the blade specifications of current mainstream wind turbine models. The standardized calculation framework does not require separate modeling, making it more adaptable.

[0096] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for selecting and adapting supercapacitors for wind power pitch control systems, characterized in that, include: Obtain multi-dimensional basic parameters of the wind power pitch system; Based on the aforementioned multi-dimensional basic parameters and combined with the preset total efficiency of the wind power pitch system, the total energy for emergency feathering is calculated. Based on the aforementioned multi-dimensional basic parameters, the rated voltage of the capacitor module is determined, and based on the rated voltage and the total emergency feathering energy, combined with multiple maintenance positive coefficients, the dynamic actual capacity is calculated to form a preliminary series-parallel structure scheme. Based on the aforementioned multi-dimensional basic parameters, the series-parallel structure scheme is subjected to multi-dimensional collaborative verification. If the verification passes but the capacity of a single string is insufficient, the series-parallel structure scheme is optimized to obtain the optimal supercapacitor selection result.

2. The method for selecting and adapting supercapacitors for wind power pitch control systems according to claim 1, characterized in that, Based on the aforementioned multi-dimensional fundamental parameters and combined with the preset total efficiency of the wind power pitch system, the total energy for emergency feathering is calculated, including: Based on the pitch bearing raceway diameter, bearing friction coefficient, and bearing raceway preload in the multi-dimensional basic parameters, as well as the pre-obtained pitch bearing axial force, the maximum pitch bearing friction force is calculated. Based on the blade length and blade weight, as well as the maximum pitch bearing friction force among the multi-dimensional basic parameters, the average pitch drag torque is calculated. Based on the average pitch drag torque, the maximum pitch angle among the multi-dimensional basic parameters, and the pre-obtained total efficiency of the wind power pitch system, the total energy for emergency feathering is calculated.

3. The method for selecting and adapting supercapacitors for wind power pitch control systems according to claim 2, characterized in that, Based on the pitch bearing raceway diameter, bearing friction coefficient, and bearing raceway preload from the aforementioned multi-dimensional basic parameters, as well as the pre-obtained pitch bearing axial force, the maximum pitch bearing friction force is calculated, including: Multiply the axial force of the pitch bearing by the raceway diameter of the pitch bearing to obtain the first intermediate value; The first intermediate value is added to twice the bearing raceway preload to calculate the second intermediate value; Multiply the coefficient of friction by the second intermediate value, and then divide the product by 2 to calculate the third intermediate value; The maximum pitch bearing friction force is calculated by multiplying the third intermediate value by a preset safety factor.

4. The method for selecting and adapting supercapacitors for wind power pitch control systems according to claim 2, characterized in that, Based on the blade length and blade weight, as well as the maximum pitch bearing friction, among the multi-dimensional basic parameters, the average pitch drag torque is calculated, including: The fourth intermediate value is calculated by multiplying the blade length and blade weight by the preset drag coefficient and gravitational acceleration. The average pitch resistance torque is calculated by adding the fourth intermediate value to the maximum pitch bearing friction force.

5. The method for selecting and adapting supercapacitors for wind power pitch control systems according to claim 2, characterized in that, Based on the average pitch drag torque, the maximum pitch angle among the multi-dimensional basic parameters, and the pre-obtained total efficiency of the wind power pitch system, the total energy for emergency feathering is calculated, including: Multiply the average pitch drag torque by the maximum pitch angle, and then divide the product by the pre-obtained total efficiency of the wind power pitch system to obtain the total emergency feathering energy.

6. The method for selecting and adapting supercapacitors for wind power pitch control systems according to claim 1, characterized in that, Based on the aforementioned multi-dimensional basic parameters, the rated voltage of the capacitor module is determined, including: Based on the rated voltage of the pitch driver among the multi-dimensional basic parameters, the voltage range of the rated voltage of the capacitor module is determined. Within the voltage range, based on the rated voltage of the pitch drive and the rated voltage of the supercapacitor cell in the multi-dimensional basic parameters, the rated voltage of the capacitor module is obtained by rounding up.

7. The method for selecting and adapting supercapacitors for wind power pitch control systems according to claim 1, characterized in that, Based on the rated voltage and the total emergency feathering energy, combined with multiple maintenance positivity factors, the dynamic actual capacity is calculated, including: The sixth intermediate value is obtained by subtracting the square of the rated voltage from the square of the pre-obtained discharge cutoff voltage. The dynamic theoretical capacity is calculated by dividing twice the total emergency feathering energy by the sixth intermediate value; A temperature correction factor is determined based on the operating environment temperature, an aging correction factor is determined based on the designed service life, and a redundancy factor is preset to obtain a multi-maintenance correction factor. The actual dynamic capacity is obtained by multiplying the temperature correction factor, the aging correction factor, and the redundancy factor by the dynamic theoretical capacity.

8. The method for selecting and adapting supercapacitors for wind power pitch control systems according to claim 1, characterized in that, Based on the aforementioned multi-dimensional basic parameters, a multi-dimensional collaborative verification of the series-parallel structure scheme is performed, including: Based on the single-unit equivalent series resistance and the peak power of the pitch motor in the multi-dimensional basic parameters, the power of the series-parallel structure scheme is checked. Based on the average power of the pitch motor in the multi-dimensional basic parameters, the discharge time of the series-parallel structure scheme is checked; Based on some intermediate parameters obtained from the power verification and the discharge time verification, the equivalent series resistance power loss of the series-parallel structure scheme is verified.

9. The method for selecting and adapting supercapacitors for wind power pitch control systems according to claim 1, characterized in that, Optimizing the series-parallel structure scheme includes: Based on the dynamic actual capacity and the pre-obtained single-string capacity, the optimized number of parallel connections is determined by rounding up. Based on the optimized number of parallel connections, the optimized total capacity and total equivalent series resistance are determined, resulting in the optimized series-parallel structure scheme.

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