A method for evaluating damping benefit of a wind power tower damping vibration device throughout its life cycle
The method for evaluating the vibration reduction benefits of wind turbine tower dampers throughout their entire lifespan solves the problem that existing technologies cannot evaluate the benefits of wind turbine tower vibration reduction devices throughout their entire lifespan. This method improves the safety and power generation efficiency of wind turbine towers and reduces vibration risks and operating costs.
Patent Information
- Application Number
- CN202510215465.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-26
- Publication Date
- 2025-11-25
- Estimated Expiration
- 2045-02-26
AI Technical Summary
Existing technologies have failed to effectively assess the overall benefits of wind turbine tower vibration reduction devices throughout their entire lifespan and under full load conditions, and there is a lack of systematic methods for evaluating the benefits of vibration reduction devices.
A method for evaluating the vibration reduction benefits of wind turbine tower dampers throughout their entire lifespan is proposed. This method involves determining the basic structural parameters of the wind turbine tower, calculating the dynamic response and load effects, evaluating the limit state index, obtaining the probability distribution of environmental parameters, conducting vulnerability analysis, calculating the failure risk and vibration reduction efficiency, and optimizing the damper parameters to achieve a comprehensive lifespan benefit evaluation.
It enables accurate assessment of the vibration reduction benefits of wind turbine tower dampers throughout their entire lifespan, improving the safety and power generation efficiency of wind turbine towers while reducing vibration risks and operating costs.
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Figure CN120105718B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of wind power generation, and relates to a wind power tower damping vibration reduction device full-life period vibration reduction benefit evaluation method. BACKGROUND
[0002] Wind power generation is an important part of a green low-carbon new energy system, with the single-machine capacity and hub height of a wind power tower being continuously improved, and the wind power tower being continuously expanded to complex geographical environments such as mountains, plateaus and deep seas, the self-vibration frequency of the wind power tower is continuously reduced, the load received is continuously intensified, and the dynamic response under the coupling of wind, wave, earthquake and other physical fields becomes more complex, and the abnormal vibration risk is high.
[0003] In view of the increasingly serious problems of abnormal vibration of the wind power tower and the like, the academia and the industry refer to the existing technologies and experiences in the field of building structure anti-seismic, and propose various wind power tower damping devices based on dampers, which are used to reduce the dynamic response of the wind power tower, realize structural load reduction and vibration suppression, and improve the structural safety.
[0004] However, the current technologies for the wind power tower damping device mainly focus on the structural innovation of the device itself, and as for how to evaluate the overall benefit of the damping device to the wind power tower structure, there is no report at present, and the related researches only discuss the load reduction and vibration suppression effect of a certain specific wind power tower under certain specific load working conditions. In fact, to realize the benefit evaluation of the wind power tower damping device, it is necessary to carry out the load reduction and vibration suppression efficiency research on the full-life period and full-load working conditions of the wind power tower structure, and to refine the damping benefit evaluation method from the angles of the wind power tower structure design and risk evaluation. SUMMARY
[0005] In view of the lack of the full-life period benefit evaluation method of the wind power tower damper damping device, the application starts from the full-life cycle and full-load working condition dynamic response of the wind power tower structure, and based on the angles of the wind power tower structure design and risk evaluation, a full-life period benefit evaluation method of the damping device is proposed, so as to make up for the current vacancy and provide a method reference for the industry and academia.
[0006] The technical scheme provided by the application is as follows: a wind power tower damper full-life period vibration reduction benefit evaluation method, comprising the following steps:
[0007] S1, determining the basic parameters of the wind power tower structure to be evaluated, including the tower body material, hub height, tower body cross-sectional shape and size, weight and eccentric distance of the fan impeller and nacelle, calculating the dynamic response and load effect of the wind power tower structure under each working condition;
[0008] S2, determining the indexes and limits of the normal use limit state and the bearing capacity limit state of the wind power tower, and for each limit state index, the corresponding limit value is determined according to the design requirements;
[0009] S3, determine the cost loss corresponding to the limit state index being exceeded;
[0010] S4, obtain the environmental parameter probability distribution of the location of the wind turbine tower, including the wind speed probability distribution and the earthquake intensity probability distribution;
[0011] S5, perform wind turbine tower vulnerability analysis, for a limit state index of the wind turbine tower, calculate the exceeding probability of the limit state index of the wind turbine tower under wind load working conditions and the exceeding probability of the limit state index of the wind turbine tower under seismic action conditions;
[0012] S6, calculate the failure risk of the wind turbine tower, including the failure risk of the limit state corresponding to the limit state index and the total failure risk ;
[0013] S7, calculate the optimal value of the wind turbine tower damping vibration reduction device parameter;
[0014] S8, for the optimal value of the damper parameter, calculate the average value of the load reduction and vibration suppression efficiency of each limit state index of the wind turbine tower after installing the damping vibration reduction device :
[0015] ;
[0016] wherein, and are the eigenvalues of the limit state index of the wind turbine tower without damper and after installing the damper, for the normal use limit state index, the eigenvalue is the root mean square of the time history calculation result, for the bearing capacity limit state index, the eigenvalue is the maximum value;
[0017] S9, according to the ratio of the failure risk of the limit state corresponding to the limit state index to the total failure risk , calculate the weight coefficient of each limit state index ;
[0018] S10, calculate the total load reduction and vibration suppression efficiency of the wind turbine tower after installing the damping vibration reduction device The formula is:
[0019] .
[0020] Preferably, in step S2, calculations are performed according to the design load conditions specified in IEC61400-1; the serviceability limit state of the structure is verified under normal operating conditions, and the serviceability limit state indicators mainly include tower top nacelle acceleration, tower top nacelle displacement, structural mud surface rotation angle, and mud surface displacement; the ultimate limit state of the structure's bearing capacity is verified under extreme operating conditions, seismic operating conditions, or fatigue operating conditions, and the ultimate limit state of bearing capacity indicators mainly include structural member design stress ratio, nodal stress, and fatigue stress amplitude.
[0021] Preferably, in step S3, when the normal operating limit state index is exceeded, it will cause a decrease in power generation efficiency and an increase in maintenance costs. The potential cost loss of the wind turbine is as follows: Cost m =Single repair cost + Temporary measures cost + Downtime loss cost= a 1+ b 1+ b 2+ b 3+ c 1× c 2%× c 3÷365× c 4;
[0022] in: a 1 represents labor costs and material costs; b 1 represents transportation costs; b 2 is for safety assessment fees; b 3 is facility rental fee; c 1 represents annual power generation, in kW; c 2% is the power generation reduction rate; c 3 represents the number of days of maintenance downtime; c 4 represents the revenue per kilowatt of electricity generated, in ¥ / kW.
[0023] Preferably, in step S3, when the ultimate bearing capacity index is exceeded, it will cause the cost of wind turbine tower collapse, and the potential cost loss of the wind turbine is as follows:
[0024] Cost m =Complete machine cost + Cleaning fee + Downtime loss fee - Recycling fee= d 1%× d 2× d 3× d 4%× d 5× d 6+ e 1+ e 2+ e 3+ e 4+ e 5+ e 61 × e 62%× e 63 )+ f 1× f 2%× f 3÷365× f 4- g 1× g 2%× g 3;
[0025] in, d 1% is the overall depreciation rate; d 2 represents the actual annual power generation duration, in hours (h). d 3 represents the annual power generation, in kW; d 4% is the power generation reduction rate; d 5 represents service duration in years; d 6 represents the levelized cost of electricity (LCOE), ¥ / kW·h; e 1 represents processing fees; e 2 represents transportation costs; e 3. Driver's salary; e 4 is the hoisting fee; e 5. Equipment rental fee; e 61 Let t be the mass of the blade. e 62 % represents the landfill reduction rate; e 63 % represents the landfill cost per ton, ¥ / t; f 1 represents annual power generation, in kW; f 2% is the power generation reduction rate; f 4 represents revenue per kilowatt of electricity generated, in ¥ / kW; f 3 represents the number of days for repair and reconstruction; g 1 represents the total mass of the tower and generator, in tons; g 2% is the recycling reduction rate; g 3 represents the recycling price per ton of cast iron, ¥ / t.
[0026] Preferably, in step S4, for wind load, the wind speed is first calculated. Corresponding wind pressure :
[0027] (1)
[0028] In the formula air density;
[0029] Next, calculate the wind pressure. recurrence period wind speed recurrence period :
[0030] ;
[0031] In the formula and Basic wind pressure for different regions under 10-year and 100-year return periods;
[0032] Calculate the design life of the support structure Internal wind speed Exceeding probability :
[0033] ;
[0034] In the formula For strength indicators;
[0035] Perform forward difference to obtain discrete wind speeds Probability of wind load occurrence ,Right now:
[0036] ;
[0037] For seismic action, the design life period is calculated first. Internal earthquake intensity The exceedance probability is given by the formula:
[0038] ;
[0039] In the formula This is the upper limit of earthquake intensity, with a value of 12. The intensity is the basic intensity minus 1.55 degrees. For 50 years; The shape parameters for different regions can be estimated based on the 50-year probability of occurrence of seismic fortification intensity being 10%.
[0040] Perform forward difference to obtain discrete seismic intensity Probability of earthquake action :
[0041] .
[0042] Preferably, in step S5, when considering the wind turbine load, the probability of occurrence of each DLC is... The calculation formula is:
[0043] ;
[0044] in, To define the dimensions of the design load case, representing the first... One design load case;
[0045] Considering the exceedance probability of a certain limit state index of a wind turbine tower under full load conditions The calculation formula is:
[0046]
[0047] When considering seismic action, the exceedance probability of a certain limit state index of a wind turbine tower under seismic conditions. The calculation formula is:
[0048] .
[0049] Preferably, in step S6, the failure risk of a certain limit state index The calculation formula is:
[0050]
[0051] Total failure risk of wind turbine towers The calculation formula is:
[0052] .
[0053] Preferably, in step S7, the method for calculating the optimal value of the damping device parameters of the wind turbine tower is as follows: after installing different damping devices on the wind turbine tower, repeat steps S1-S6 to calculate the total failure risk considering the dampers; by adjusting the damper parameters, obtain the fitting curve and fitting formula of the total failure risk with respect to each damper parameter, and obtain the minimum value of the total failure risk from the fitting curve and fitting formula. At this time, the corresponding damping device parameters are the optimal values.
[0054] This invention provides a method for evaluating the vibration reduction benefits of wind turbine tower dampers throughout their entire lifespan. By accurately calculating the vibration risk of the wind turbine tower under multi-physics coupling and the load reduction and vibration suppression efficiency of the dampers, the method assesses the vibration reduction benefits of the wind turbine tower dampers throughout their entire lifespan. This invention optimizes parameters such as the control strategy, number of dampers, damper parameters, and damper placement of the wind turbine tower dampers. This allows the wind turbine tower structure to simultaneously reduce vibration risk and improve load reduction and vibration suppression efficiency while extending the annual power generation time of the wind turbine tower. The method of this invention enables wind turbine towers to simultaneously achieve good results in terms of safety and reliability, load reduction and vibration suppression, and cost reduction and efficiency improvement. Attached Figure Description
[0055] Figure 1 This is a flowchart illustrating a method for evaluating the vibration reduction benefits of a wind turbine tower damper throughout its entire lifespan, as described in an embodiment of the present invention. Detailed Implementation
[0056] The present invention will be further explained and described below with reference to the accompanying drawings and specific embodiments.
[0057] Example 1 uses a wind turbine tower as an example. The method for evaluating the vibration reduction benefits of the wind turbine tower damping vibration reduction device throughout its entire life cycle provided by the present invention is as follows: Figure 1 As shown, the specific steps include:
[0058] S1. Determine the basic parameters of the wind turbine tower structure to be evaluated, including tower material, hub height, tower cross-sectional shape and size, weight and eccentricity of the wind turbine rotor and nacelle, etc., so as to realize the multi-field coupled integrated dynamic modeling and finite element method modeling of the wind turbine tower structure, and thus provide a means to calculate the dynamic response and load effect of the wind turbine tower structure under various working conditions.
[0059] S2. Determine the indicators and limits for the serviceability limit state and ultimate limit state of the wind turbine tower. The operating conditions of the wind turbine tower are divided into four categories: normal operating condition, extreme operating condition, seismic operating condition, and fatigue operating condition. The normal operating load under the normal operating condition is the most unfavorable load during the normal operation of the wind turbine generator; the extreme load under the extreme operating condition is the most unfavorable load among all design load cases (DLC) excluding transportation and installation; the fatigue load under the fatigue condition is the total load effect of all DLCs corresponding to fatigue limit states throughout the wind turbine tower's entire life cycle. Calculations are carried out according to the DLCs specified in IEC 61400-1.
[0060] Under normal operating conditions, the serviceability limit state of the structure is verified. The main indicator of the serviceability limit state is the acceleration of the tower top nacelle. Displacement of the tower top nacelle Structural mud surface corner Mud surface displacement Etc. The ultimate limit state of structural bearing capacity is verified under extreme working conditions, seismic conditions, or fatigue conditions. The main index of the ultimate limit state of bearing capacity is the design stress ratio of the structural members. Nodal stress Fatigue stress amplitude For each of the above-mentioned limit state indices, the corresponding limit value is determined according to the design requirements, that is... , , , , , , wait.
[0061] S3. Determine the cost losses corresponding to the exceeding of various extreme state indicators. .
[0062] (1) When the normal operating limit state indicators are exceeded, it will result in reduced power generation efficiency and increased maintenance costs. Potential cost losses for wind turbines: ;
[0063] Among them: single repair fee A = a ¥1 (labor and material costs);
[0064] Temporary measures fee B = b ¥1 (shipping fee) + b ¥2 (safety assessment fee) + b ¥3 (facility rental fee);
[0065] Downtime loss fee C = c 1kW (annual power generation) × c 2% (power generation reduction rate) × c 3 days (number of days of maintenance downtime) ÷ 365 × c ¥4 / kW (revenue per kilowatt of electricity generated).
[0066] (2) When the ultimate bearing capacity index is exceeded, it will result in the cost of wind turbine tower collapse. The potential cost loss of the wind turbine is as follows: ;
[0067] Of which: cost of the complete machine D = d 1% (overall machine depreciation rate) × d 2 h (Actual annual power generation duration) × d 3kW (annual power generation) × d 4% (power generation reduction rate) × d 5 years (duration of service) × d ¥6 / kWh (Levelized Cost of Electricity);
[0068] Cleaning fee E = e ¥1 (processing fee) + e ¥2 (shipping fee) + e ¥3 (driver's salary) + e ¥4 (lifting fee) + e ¥5 (equipment rental fee) + e 61 t (blade mass) × e 62 % (Landfill reduction rate) × e 63 ¥ / t (landfill fee per ton);
[0069] Downtime loss fee F = f 1kW (annual power generation) × f 2% (power generation reduction rate) × f 3 days (repair and reconstruction days) ÷ 365 × f¥4 / kW (revenue per kilowatt of electricity generated);
[0070] Recycle fee G = g 1t (total mass of tower and generator) × g 2% (recovery reduction rate) × g ¥3 / t (price for recycling cast iron per ton).
[0071] S4. Obtain the probability distribution of environmental parameters at the location of the wind turbine tower. This includes wind speed probability distribution and earthquake intensity probability distribution, etc.
[0072] 1) For wind load, first use equation (1) to calculate the wind speed. Corresponding wind pressure :
[0073] (1);
[0074] In the formula air density;
[0075] Next, the wind pressure is calculated using equation (2). recurrence period wind speed recurrence period :
[0076] (2);
[0077] In the formula and The basic wind pressure for different regions of my country under 10-year and 100-year return periods can be selected according to the standard GB50009-2012;
[0078] Then, the design life of the supporting structure is calculated using equation (3). (Year) Wind speed Exceeding probability :
[0079] (3);
[0080] In the formula For strength indicators;
[0081] Finally, forward difference is performed on equation (3) to obtain the discrete wind speed. Probability of wind load occurrence ,Right now:
[0082] (4);
[0083] in, Let be the dimension of load strength, representing the th Load strength.
[0084] (2) For seismic action, the design life is first calculated using equation (5). (Year) Earthquake Intensity Exceedance probability:
[0085] (5);
[0086] In the formula This is the upper limit of earthquake intensity, with a value of 12. The intensity is the common intensity (intensity of frequent earthquakes), which is the basic intensity (seismic fortification intensity) minus 1.55 degrees. For 50 years; The shape parameters for different regions can be estimated based on the 50-year probability of occurrence of seismic fortification intensity being 10%.
[0087] Secondly, by performing forward difference on equation (6), the discrete seismic intensity is obtained. Probability of earthquake action :
[0088] (6).
[0089] S5. Conduct vulnerability analysis of wind turbine towers. For a specific extreme state index of the wind turbine tower:
[0090] (1) When considering the wind turbine load, firstly, for each wind speed, obtain the probability distribution of the turbulence model (e.g., NTM, ETM, EWM, etc. based on the IEC61400-1 standard) at that wind speed. This will determine the probability distribution of different design load cases (DLC) of the wind turbine at that wind speed. The probability distribution of wind speed obtained through S4 can be used to determine the probability of occurrence for each wind speed. Multiply the probability of wind speed occurrence by the probability of DLC (turbulence model probability) occurring at that wind speed to obtain the probability of each DLC occurring at each wind speed. :
[0091] (7);
[0092] in, To define the dimensions of the design load case, representing the first... Design load conditions.
[0093] Based on this, for each DLC at each wind speed, according to the standard IEC61400-1, several random winds considering the rotor azimuth are selected for dynamic time history analysis, and the exceedance probability of a certain limit state index of the wind turbine tower under the DLC condition is calculated. Finally, by summing the product of the occurrence probability of each DLC and the exceedance probability of the corresponding wind turbine tower index, the exceedance probability of a certain limit state index of the wind turbine tower considering the full load condition is obtained. :
[0094] (8);
[0095] in, It is an index for a certain limit state.
[0096] (2) When considering seismic action, firstly, the target response spectrum of the wind turbine location is obtained according to the standard GB50011-2010, and several ground motion records are selected from the PEER database; secondly, the peak ground acceleration (PGA) amplitude is modulated on the selected ground motion records; then, dynamic time history analysis is performed on the wind turbine based on several ground motions after amplitude modulation to obtain the IDA curve cluster; then, the exceedance probability of a certain limit state index of the wind turbine under a certain PGA is calculated. The probability of earthquake intensity at the location of the wind turbine tower is obtained through S4. Finally, the exceedance probability of a certain limit state index of the wind turbine tower under seismic loading is obtained by multiplying the probability of earthquake occurrence by the exceedance probability of a certain limit state index of the corresponding wind turbine tower. :
[0097] (9)
[0098] S6. Calculate the failure risk of the wind turbine tower. Calculate the exceedance probability of a certain limit state index obtained in S5. The cost loss corresponding to exceeding the limit state index obtained from S2 By multiplying, the failure risk of a certain limit state index can be calculated. The total failure risk of the wind turbine tower is obtained by summing the failure risks of all extreme state indicators. :
[0099] (10);
[0100] (11).
[0101] S7. Select the optimal parameters for the wind turbine tower dampers. After installing different damper devices on the wind turbine tower, repeat the calculation process of S1-S6 above to calculate the total failure risk of the dampers. The total failure risk can be obtained by adjusting damper parameters (such as control strategy, damper type, damper parameters, number of dampers, and damper placement). The fitting curves and formulas for each parameter of the damper are obtained from the fitting curves and formulas. The lowest value corresponds to the optimal value of the damper parameters.
[0102] S8. Calculate the load reduction and vibration suppression efficiency of the limit state indicators. Using the optimal values of the damper parameters, calculate the average load reduction and vibration suppression efficiency of each limit state indicator of the wind turbine tower support after the installation of the damper using equation (12). :
[0103] (12)
[0104] In the formula and These are the characteristic values of the limit state indices of wind turbine towers without dampers and with dampers installed, respectively. For the serviceability limit state index, the characteristic value is the root mean square of the time history calculation result, and for the load-bearing capacity limit state index, the characteristic value is the maximum value.
[0105] S9. Calculate the importance coefficient of the limit state index. This is based on the risk of the limit state corresponding to the limit state index. Total failure risk The proportion is used to calculate the weighting coefficients of each limit state index. :
[0106] (13);
[0107] S10. Calculate the total load reduction and vibration suppression efficiency of the wind turbine tower throughout its entire lifespan after the installation of dampers. :
[0108] .
Claims
1. A method for evaluating the vibration reduction benefits of a wind turbine tower damping vibration reduction device throughout its entire lifespan, characterized in that, Includes the following steps: S1. Determine the basic parameters of the wind turbine tower structure to be evaluated, including tower material, hub height, tower cross-sectional shape and size, weight and eccentricity of wind turbine rotor and nacelle, and calculate the dynamic response and load effect of the wind turbine tower structure under various working conditions. S2. Determine the indicators and limits for the serviceability limit state and load-bearing capacity limit state of the wind turbine tower. For each limit state indicator, determine the corresponding limit value according to the design requirements. S3. Determine the cost loss corresponding to the exceeding of various extreme state indicators. S4. Obtain the probability distribution of environmental parameters at the location of the wind turbine tower, including the probability distribution of wind speed and the probability distribution of earthquake intensity. S5. Conduct vulnerability analysis of wind turbine towers. For a certain limit state index of the wind turbine tower, calculate the exceedance probability of a certain limit state index of the wind turbine tower under wind load conditions and the exceedance probability of a certain limit state index of the wind turbine tower under seismic conditions. S6. Calculate the failure risk of wind turbine towers, including the failure risk of extreme states corresponding to the extreme state indicators. Total failure risk ; S7. Calculate the optimal values of the parameters of the wind turbine tower damping and vibration reduction device; S8. Calculate the average load reduction and vibration suppression efficiency of the wind turbine tower support under various ultimate state conditions after installing the damping and vibration reduction device, based on the optimal values of the damper parameters. : ; In the formula, and These are the characteristic values of the ultimate limit state indicators of the wind turbine tower before and after the installation of the damping and vibration reduction device. For the serviceability limit state indicator, the characteristic value is the root mean square of the time history calculation result. For the load-bearing capacity limit state indicator, the characteristic value is the maximum value. For a certain limit state index; S9. Failure risk based on the limit state corresponding to the limit state index. Total failure risk The proportion is used to calculate the weighting coefficients of each limit state index. ; S10. Calculate the total load reduction and vibration suppression efficiency of the wind turbine tower throughout its entire lifespan after installing damping and vibration reduction devices. The formula is: 。 2. The method for evaluating the vibration reduction benefits of the wind turbine tower damping vibration reduction device throughout its entire lifespan according to claim 1, characterized in that, In step S2, calculations are performed according to the various design load cases specified in IEC61400-1. Under normal operating conditions, the serviceability limit state of the structure is verified. The serviceability limit state indices mainly include tower top nacelle acceleration, tower top nacelle displacement, structural mud surface rotation angle, and mud surface displacement. Under extreme operating conditions, seismic conditions, or fatigue conditions, the ultimate limit state of the structure is verified. The ultimate limit state indices mainly include structural member design stress ratio, nodal stress, and fatigue stress amplitude.
3. The method for evaluating the vibration reduction benefits of the wind turbine tower damping vibration reduction device throughout its entire lifespan according to claim 1, characterized in that, In step S3, when the normal operating limit state index is exceeded, it will result in a decrease in power generation efficiency and an increase in maintenance costs. The potential cost loss for the wind turbine is as follows: Cost m =Single repair cost + Temporary measures cost + Downtime loss cost= a 1+ b 1+ b 2+ b 3+ c 1× c 2%× c 3÷365× c 4; in, a 1 represents labor costs and material costs; b 1 represents transportation costs; b 2 is for safety assessment fees; b 3 is the facility rental fee; c 1 represents annual power generation, in kW; c 2% is the power generation reduction rate; c 3 represents the number of days of maintenance downtime; c 4 represents the revenue per kilowatt of electricity generated, in ¥ / kW.
4. The method for evaluating the vibration reduction benefits of the wind turbine tower damping vibration reduction device throughout its entire lifespan according to claim 1, characterized in that, In step S3, when the ultimate bearing capacity index is exceeded, it will cause the wind turbine tower to collapse, and the wind turbine may incur the following cost losses: Cost m =Complete machine cost + Cleaning fee + Downtime loss fee - Recycling fee= d 1%× d 2× d 3× d 4%× d 5× d 6+ e 1+ e 2+ e 3+ e 4+ e 5+ e 61 × e 62 %× e 63 )+ f 1× f 2%× f 3÷365× f 4- g 1× g 2%× g 3; in, d 1% is the overall depreciation rate; d 2 represents the actual annual power generation duration, in hours (h). d 3 represents the annual power generation, in kW; d 4% is the power generation reduction rate; d 5. Service duration, in years; d 6 represents the levelized cost of electricity (LCOE), ¥ / kW·h; e 1 represents processing fees; e 2 represents transportation costs; e 3. Driver's salary; e 4 is the hoisting fee; e 5. Equipment rental fee; e 61 Let t be the mass of the blade. e 62 % represents the landfill reduction rate; e 63 % represents the landfill cost per ton, ¥ / t; f 1 represents annual power generation, in kW; f 2% is the power generation reduction rate; f 4 represents revenue per kilowatt of electricity generated, in ¥ / kW; f 3 represents the number of days for repair and reconstruction; g 1 represents the total mass of the tower and generator, in tons; g 2% is the recycling reduction rate; g 3 represents the recycling price per ton of cast iron, ¥ / t.
5. The method for evaluating the vibration reduction benefits of the wind turbine tower damping vibration reduction device throughout its entire lifespan according to claim 1, characterized in that, In step S4, for wind load, the wind speed is calculated. Corresponding wind pressure : ; In the formula air density; Calculate wind pressure recurrence period wind speed recurrence period : ;(2) In the formula and Basic wind pressure for different regions under 10-year and 100-year return periods; Calculate the design life of the support structure Internal wind speed Exceeding probability : ; In the formula For strength indicators; Perform forward difference to obtain discrete wind speeds Probability of wind load occurrence ,Right now: ; in, Let be the dimension of load strength, representing the th One load strength; (2) For seismic action, calculate the design life. Internal earthquake intensity Exceedance probability: ; In the formula This represents the upper limit of earthquake intensity. The intensity is the basic intensity minus 1.55 degrees. For 50 years; The shape parameters for different regions were calculated based on a 50-year probability of 10% for seismic fortification intensity. Perform forward difference to obtain discrete seismic intensity Probability of earthquake action : 。 6. The method for evaluating the vibration reduction benefits of the wind turbine tower damping vibration reduction device throughout its entire lifespan according to claim 5, characterized in that, In step S5, when considering the wind turbine load, the probability of occurrence of each design load condition is... The calculation formula is: ; in, To define the dimensions of the design load case, representing the first... One design load case; Considering the exceedance probability of a certain limit state index of a wind turbine tower under full load conditions The calculation formula is: ; When considering seismic action, the exceedance probability of a certain limit state index of a wind turbine tower under seismic conditions. The calculation formula is: 。 7. The method for evaluating the vibration reduction benefits of the wind turbine tower damping vibration reduction device throughout its entire lifespan according to claim 6, characterized in that, In step S6, the failure risk of a certain limit state index The calculation formula is: ; Total failure risk of wind turbine towers The calculation formula is: 。 8. The method for evaluating the vibration reduction benefits of a wind turbine tower damping vibration reduction device throughout its entire lifespan according to any one of claims 1-7, characterized in that, In step S7, the optimal value of the damping device parameters of the wind turbine tower is calculated as follows: After installing different damping devices on the wind turbine tower, repeat steps S1-S6 to calculate the total failure risk considering the dampers; by adjusting the damper parameters, obtain the fitting curve and fitting formula of the total failure risk with respect to each damper parameter, and obtain the minimum value of the total failure risk from the fitting curve and fitting formula. At this time, the corresponding damping device parameters are the optimal values.
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