A method and system for classifying the dynamic disaster vulnerability of offshore wind turbines

Abstract

This invention discloses a method and system for classifying the dynamic disaster vulnerability of offshore wind turbines, relating to the field of offshore wind power disaster risk assessment technology. The method includes: acquiring the disaster-resistant design parameters of the offshore wind turbine; determining the basic vulnerability level corresponding to the disaster-resistant design parameters according to a preset correspondence; wherein the disaster-resistant design parameters include wind and wave indices; correcting the basic vulnerability level based on the wind and wave indices and measured wind and wave data in the disaster-resistant design parameters of the offshore wind turbine, obtaining a corrected vulnerability level; and outputting the corrected vulnerability level. This method has the characteristics and advantages of providing a more comprehensive assessment of disaster-causing factors, achieving more accurate evaluation, and realizing multi-dimensional, precise, and standardized classification of offshore wind turbine vulnerability.

Description

Technical Field

[0001] This invention relates to the field of offshore wind power disaster risk assessment technology, specifically to a method and system for classifying the dynamic disaster vulnerability of offshore wind turbines. Background Technology

[0002] Offshore wind turbines are significantly affected by marine dynamic disasters such as typhoons, waves, storm surges, and ocean currents during operation, making dynamic disaster vulnerability assessment a core aspect of risk prevention and control in offshore wind power operation.

[0003] In engineering practice, most existing methods for classifying the vulnerability of offshore wind turbines only use the design wind speed of the wind turbine generator as an evaluation indicator. This leads to a significant discrepancy between the assessment results of the vulnerability classification methods and the actual load-bearing capacity of offshore wind turbines, failing to provide accurate and reliable quantitative basis for assessing the risk of offshore wind power disasters. Summary of the Invention

[0004] To address the technical problems of existing methods for classifying the dynamic vulnerability of offshore wind turbines, such as significant discrepancies between the assessment results and the actual load-bearing capacity of the turbines, inaccurate vulnerability level classification, and poor adaptability, this invention aims to provide a method and system for classifying the dynamic vulnerability of offshore wind turbines. The specific technical solution adopted is as follows: In a first aspect, embodiments of the present invention provide a method for classifying the dynamic disaster vulnerability of offshore wind turbines, wherein the method includes: obtaining disaster-resistant design parameters of the offshore wind turbine; determining the basic vulnerability level corresponding to the disaster-resistant design parameters according to a preset correspondence; wherein the disaster-resistant design parameters include wind and wave indices; correcting the basic vulnerability level according to the wind and wave indices and measured wind and wave data in the disaster-resistant design parameters of the offshore wind turbine to obtain a corrected vulnerability level; and outputting the corrected vulnerability level.

[0005] Optionally, the step of correcting the basic vulnerability level based on the wind and wave indices and measured wind and wave data in the disaster resistance design parameters of the offshore wind turbine to obtain a corrected vulnerability level includes: Based on the wind and wave indices in the disaster resistance design parameters and the measured wind and wave data at the offshore wind turbine site, the foundation vulnerability level is corrected by site adjustment to obtain a site correction result; based on the disaster resistance design parameters and the operating condition verification results of the offshore wind turbine, the foundation vulnerability level is corrected by operating condition adjustment to obtain an operating condition correction result; based on the foundation type of the offshore wind turbine, the wind and wave indices in the disaster resistance design parameters, and the measured wind and wave data at the offshore wind turbine site, the foundation vulnerability level is corrected by foundation type differentiation adjustment to obtain a foundation type differentiation correction result; the site correction result, operating condition correction result, and foundation type differentiation correction result are comprehensively adjusted to obtain the corrected vulnerability level.

[0006] Optionally, the step of correcting the foundation vulnerability level based on the wind and wave indices in the disaster resistance design parameters and the measured wind and wave data at the offshore wind turbine site to obtain the site correction result includes: fitting the measured wind and wave data using an extreme value distribution algorithm to fit the site wave height and site wind speed; dividing the product of the design reference wind speed in the disaster resistance design parameters and the design effective wave height in the disaster resistance design parameters by the product of the fitted site wave height and site wind speed to obtain the site fit coefficient K; and correcting the foundation vulnerability level based on the fit coefficient K to obtain the site correction result.

[0007] Optionally, the step of adjusting the basic vulnerability level based on the fit coefficient K to obtain the site adjustment result includes: when the fit coefficient satisfies K≥1.0, the site adjustment result is to maintain the basic vulnerability level; when the fit coefficient satisfies 0.8≤K<1.0, the site adjustment result is to increase the basic vulnerability level by one level; when the fit coefficient satisfies K<0.8, the site adjustment result is to increase the basic vulnerability level by two levels.

[0008] Optionally, the step of adjusting the foundation vulnerability level based on the disaster-resistant design parameters and the operating condition verification results of the offshore wind turbine to obtain the operating condition correction result includes: verifying the design load operating condition disaster-resistant design parameters of the offshore wind turbine to obtain verification results; the design load operating condition disaster-resistant design parameters include shutdown state DLC-6 and shutdown combined with failure state DLC-7; when the verification results of the offshore wind turbine all pass the shutdown state DLC-6 and shutdown combined with failure state DLC-7, the operating condition correction result is to maintain the foundation vulnerability level; when the verification results of the offshore wind turbine fail the verification of a single operating condition in shutdown state DLC-6 or shutdown combined with failure state DLC-7, the operating condition correction result is to increase the foundation vulnerability level by one level; when the verification results of the offshore wind turbine fail the operating condition verification of shutdown state DLC-6 and shutdown combined with failure state DLC-7, the operating condition correction result is to increase the foundation vulnerability level by two levels.

[0009] Optionally, the step of modifying the foundation vulnerability level based on the foundation type of the offshore wind turbine, the wind and wave indices in the disaster resistance design parameters, and the measured wind and wave data of the offshore wind turbine site to obtain a foundation type differentiation correction result includes: when the foundation type meets the requirements of a monopile foundation, determining whether the design wave height of the offshore wind turbine meets the requirements of the effective wave height of the wave index in the preset correspondence, and whether the design reference wind speed in the disaster resistance design parameters is not lower than 95% of the site wind speed in the measured data; if the conditions are met, the foundation type differentiation correction result is to maintain the foundation vulnerability level; if the conditions are not met, the foundation type differentiation correction result is to raise the foundation vulnerability level by one level.

[0010] Optionally, the step of modifying the foundation vulnerability level based on the foundation type of the offshore wind turbine, the wind and wave indices in the disaster resistance design parameters, and the measured wind and wave data of the offshore wind turbine site to obtain a foundation type differentiation correction result further includes: when the foundation type meets the requirements of a high-pile foundation, determining whether the design wind speed of the offshore wind turbine meets the requirements of the design reference wind speed in the preset correspondence, and whether the design effective wave height in the disaster resistance design parameters is not less than 95% of the site wave height in the measured data; if the conditions are met, the foundation type differentiation correction result is to maintain the foundation vulnerability level; if the conditions are not met, the foundation type differentiation correction result is to raise the foundation vulnerability level by one level.

[0011] Optionally, the site correction result, operating condition correction result, and foundation type differentiation correction result are comprehensively corrected to obtain the corrected vulnerability level, including: selecting the correction result that causes the largest change in the foundation vulnerability level among the site correction result, operating condition correction result, and foundation type differentiation correction result according to the principle of choosing the highest value as the obtained corrected vulnerability level.

[0012] Optionally, the disaster resistance design parameters with preset correspondence include the level of the wind turbine generator set, the wind speed value of the design reference wind speed, the wave height range of the design effective wave height, and the vulnerability level corresponding to each disaster resistance design parameter.

[0013] Secondly, embodiments of the present invention provide a dynamic disaster vulnerability classification system for offshore wind turbines, comprising: a parameter acquisition module for acquiring disaster-resistant design parameters of the offshore wind turbine; a basic judgment module for determining the basic vulnerability level corresponding to the disaster-resistant design parameters according to a preset correspondence; wherein the disaster-resistant design parameters include wind and wave indices; a correction evaluation module for correcting the basic vulnerability level based on the wind and wave indices and measured wind and wave data in the disaster-resistant design parameters of the offshore wind turbine, thereby obtaining a corrected vulnerability level; and a result output module for outputting the corrected vulnerability level.

[0014] This invention offers the following advantages: First, it obtains the disaster-resistant design parameters of offshore wind turbines; then, it determines the basic vulnerability level corresponding to the disaster-resistant design parameters based on a preset correspondence; wherein, the disaster-resistant design parameters include wind and wave indices; further, based on the wind and wave indices and measured wind and wave data in the disaster-resistant design parameters of the offshore wind turbines, it corrects the basic vulnerability level to obtain a corrected vulnerability level; finally, it outputs the corrected vulnerability level. Addressing the problem that existing methods for classifying the vulnerability of offshore wind turbines only use design wind speed as a single evaluation indicator, failing to consider the synergistic disaster-causing effect of wave loads, leading to a significant deviation between the assessment results and the actual disaster-bearing capacity, this invention provides a method for classifying the dynamic disaster vulnerability of offshore wind turbines by integrating both wind and wave indices. Furthermore, this invention further corrects the classification level by incorporating other disaster-resistant design parameters, resulting in a more adaptable corrected vulnerability level.

[0015] Thus, the embodiments of the present invention can achieve the following beneficial effects: The present invention simultaneously acquires both wind and wave indicators for vulnerability level determination, overcoming the deficiency of considering all disaster-causing factors with a single wind speed indicator. It more comprehensively reflects the disaster-bearing characteristics of offshore wind turbines under typhoon-wave combined dynamic disasters, making the disaster-causing factors more comprehensive and the assessment more accurate. Secondly, based on the basic vulnerability level determination, further corrections are made according to the measured wind and wave data at the site, ensuring that the assessment results highly match the actual disaster characteristics of the sea area where the wind turbine is located, avoiding a "one-size-fits-all" assessment and significantly improving the accuracy of the assessment. This two-step method of "basic determination + adaptive correction" can output a more accurate vulnerability level, achieving multi-dimensional, precise, and standardized classification of offshore wind turbine vulnerability, thereby providing a scientific and reliable quantitative basis for offshore wind power dynamic disaster risk assessment and improving the level of offshore wind power disaster risk prevention and control. The output vulnerability level is used as the core input parameter for offshore wind power dynamic disaster risk assessment, combined with the hazard level to achieve a comprehensive risk level determination. It has good engineering practicality and promotional value. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope of protection. For those skilled in the art, other related drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a method for classifying the dynamic disaster vulnerability of offshore wind turbines, as provided in one embodiment of the present invention.

[0018] Figure 2 This is a schematic diagram of a dynamic disaster vulnerability classification system for offshore wind turbines, provided as an embodiment of the present invention.

[0019] Figure 3 This is a schematic diagram of an access architecture for assessing the vulnerability of offshore wind turbines to dynamic disasters, provided as an embodiment of the present invention. Detailed Implementation

[0020] The technical solution of the present invention will be clearly and completely described below with reference to specific embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0021] The main reasons why existing technologies suffer from significant discrepancies between assessment results and the actual load-bearing capacity of offshore wind turbines, inaccurate vulnerability classification, and poor adaptability are as follows: In engineering practice, most existing methods for classifying the vulnerability of offshore wind turbines use the design wind speed of the wind turbine generator as the sole criterion. This fails to consider the synergistic disaster-causing effect of wave loads and is also difficult to reconcile with the international standard IEC 61400-3-1 for offshore stationary wind turbine design. Consequently, these methods suffer from incomplete consideration of disaster-causing factors, poor site adaptability, and a disconnect from international design specifications. Furthermore, existing methods do not develop differentiated assessment rules for offshore wind turbines with different foundation types, such as monopile and high-pile caps, nor do they combine the load conditions specified in design standards with actual verification results to verify and correct vulnerability levels. This leads to significant discrepancies between vulnerability assessment results and the actual disaster-bearing capacity of offshore wind turbines, failing to provide accurate and reliable quantitative data for offshore wind power disaster risk assessment.

[0022] The following description, in conjunction with the accompanying drawings, details a specific scheme for the method of classifying the dynamic disaster vulnerability of offshore wind turbines provided by the present invention.

[0023] Please see Figure 1 The document illustrates a flowchart of a method for classifying the dynamic disaster vulnerability of offshore wind turbines according to an embodiment of the present invention, including: S101, obtain the disaster resistance design parameters of offshore wind turbines.

[0024] Specifically, this involves collecting core disaster-resistance design parameters from offshore wind turbine design documents, including the reference wind speed (V) used in the actual turbine design. ref ) and 50-year return period significant wave height (H S50 Verify the wind turbine foundation type (monopile / high pile cap) and the design level of the wind turbine generator set, and obtain the wind turbine design load condition (DLC) verification report.

[0025] The disaster resistance design parameters obtained in step S101 of this invention include design reference wind speed, 50-year return period effective wave height, wind turbine foundation type, unit design level, and DLC verification report. These parameters are all conventional data in the design documents, which are easy to obtain and inexpensive. They cover both wind and wave disaster factors, take into account the disaster resistance capabilities of above-water and underwater structures, and are directly connected with IEC international standards, providing a standardized, comprehensive, and reliable data foundation for subsequent multi-dimensional vulnerability assessments.

[0026] S102, determine the basic vulnerability level corresponding to the disaster resistance design parameters according to the preset correspondence; wherein, the disaster resistance design parameters include wind and wave indices.

[0027] Specifically, the pre-defined correspondence is shown in Table 1 below. In Table 1, the wind and wave indicators must simultaneously meet the requirements of the corresponding unit level, and then the vulnerability level is determined according to Table 1.

[0028] Table 1. Correspondence between Wind-Wave Indicators and Vulnerability Levels

[0029] The mapping relationship between wind turbine design level and vulnerability level established in Table 1 requires that both wind and wave indicators be met simultaneously. Vulnerability is divided into four quantitative levels, achieving seamless integration with the international standard IEC 61400-3-1. This overcomes the one-sidedness of single-indicator assessment and provides a clear, quantitative, and comparable basis for judging the disaster resistance capability of offshore wind turbines.

[0030] S103. Based on the wind and wave indices and measured wind and wave data in the disaster resistance design parameters of the offshore wind turbine, the basic vulnerability level is corrected to obtain the corrected vulnerability level.

[0031] Specifically, the modification of S103 is essentially an adaptive modification. Adaptive modifications include site modification, operating condition modification, foundation type differentiation modification, and comprehensive modification. The specific steps for each modification are given below.

[0032] An example of site correction is as follows: Obtain measured wind and wave data of the site or adjacent sea area, use extreme value distribution (Gumbel distribution) to fit the 50-year return period effective wave height and the 50-year return period 10-minute average wind speed at the wind turbine hub height, and calculate the fit coefficient K between the offshore wind turbine disaster resistance design index and the site disaster intensity. The calculation formula is formula (1): (1) In Formula 1, V ref、 H S50 These are the design reference wind speed and 50-year return period significant wave height, as shown in Table 1. V 50 H 50 These are the 50-year return period 10-minute average wind speed at the fitted wind turbine hub height and the 50-year return period effective wave height at the site, respectively.

[0033] Based on the fit coefficient K, the site correction rule is determined as follows: If The wind turbine's disaster resistance design specifications exceed the site's disaster intensity, requiring no site modification; if The wind turbine's disaster resistance design specifications are slightly lower than the site's disaster intensity; therefore, the site's vulnerability level has been revised upwards by one level. The wind turbine design specifications are far below the site's disaster intensity, and the site's vulnerability level has been revised up by two levels.

[0034] One implementation of operating condition correction is as follows: Based on the wind turbine design load condition requirements, verify the verification results of wind turbine DLC 6 (shutdown state, 6.1~6.4) and DLC 7 (shutdown and fault state, 7.1~7.2) to determine the operating condition correction rules. The operating condition correction rules are as follows: If the wind turbine passes all extreme load condition verifications, the vulnerability level does not need to be corrected; if the wind turbine fails the verification of a single operating condition in DLC 6 or DLC 7, the vulnerability level is increased by one level; if the wind turbine fails the verification of both DLC 6 and DLC 7, the vulnerability level is increased by two levels.

[0035] One implementation example of differentiated correction for foundation types is as follows: Based on the design requirements of wind turbine foundation structures, differentiated correction rules are formulated to adjust the foundation vulnerability level according to the disaster resistance characteristics of different foundation types such as monopile and high-pile cap foundations. Specifically, for offshore wind turbines with monopile foundations, wave load resistance is a key factor. If the design wave height meets the requirements of Table 1 and the design reference wind speed is not less than 95% of the site wind speed, the foundation vulnerability level remains unchanged; if the design wind speed is less than 95% of the site wind speed, the vulnerability level increases by one level. For offshore wind turbines with high-pile cap foundations, wind load resistance is a key factor. If the design wind speed meets the requirements of Table 1 and the design wave height is not less than 95% of the site wave height, the foundation vulnerability level remains unchanged; if the design wave height is less than 95% of the site wave height, the vulnerability level increases by one level.

[0036] It should be noted that the comprehensive site correction results, operating condition correction results, and foundation type differentiation correction results follow the principle of applying the highest correction. That is, when multiple corrections are used simultaneously, they are not cumulatively calculated. The final result is based on the correction result that causes the largest change in vulnerability level among all corrections, and the vulnerability level of offshore wind turbine dynamic disasters is finally confirmed.

[0037] S104 outputs the corrected vulnerability level.

[0038] Specifically, the final vulnerability level assessment result is output. This result can serve as a core input parameter for historical and real-time risk assessments of offshore wind power disasters, and can be combined with the offshore wind power disaster hazard level to achieve a comprehensive assessment of the offshore wind power risk level.

[0039] Furthermore, in the site correction, the 10-minute average wind speed H50 at the wind turbine hub height of the site with a 50-year return period needs to be corrected for wind shear effect and turbulence intensity according to IEC 61400-3-1; when calculating the effective wave height of the site with a 50-year return period, the wave direction distribution and wind-wave coupling effect should be considered.

[0040] Furthermore, this method is applicable to offshore wind turbines in the nearshore waters of the Bohai Sea, Yellow Sea, East China Sea, and South China Sea of ​​my country. If there are other marine dynamic hazards such as sea ice and ocean currents in the assessment area, ice thickness and current velocity design indicators can be added as additional correction items according to IEC 61400-3-1 and included in the calculation of the fit coefficient.

[0041] Thus, according to the above embodiments, the beneficial effects of the present invention include: (1) The disaster-causing factors are comprehensively considered, which is more in line with the actual disaster-bearing characteristics of offshore wind power: Breaking through the limitations of the existing single wind speed index, and combining the design requirements of wind-wave combined load, the effective wave height once in 50 years is introduced as a supplementary index to cover the dual disaster-causing factors of typhoon-wave combined dynamic disasters, reflecting the overall disaster resistance capability of the above-water and underwater structures of offshore wind turbines.

[0042] (2) Connect with international standards to achieve unified design and evaluation: The requirements of IEC 61400-3-1 for extreme environmental condition calculation, design load condition verification, site specificity verification, and foundation structure load correction are systematically integrated into the vulnerability classification system, so that the vulnerability judgment is reasonably aligned with international offshore wind turbine design standards, which can improve the international recognition and standardization level of the evaluation results.

[0043] (3) Differentiate foundation types and achieve differentiated classification: Differentiated correction rules were formulated to address the differences in disaster resistance characteristics between the two mainstream foundation types of single pile and high pile cap, in line with the differentiated requirements of foundation structure design.

[0044] (4) Multi-dimensional correction to improve site adaptability: The site adaptability coefficient and design load condition verification are introduced to achieve dual correction of site specificity and wind turbine disaster resistance performance verification, so that the vulnerability judgment results are highly matched with the disaster characteristics of the assessed site and the actual design level of the wind turbine, thereby improving the accuracy of the judgment results and the practicality of the project.

[0045] (5) The process is clear, the operation is strong, and it is suitable for actual engineering applications: The standardized process of “collection-verification-checking-judgment-correction-confirmation” is adopted. The basic indicators are all conventional data of wind turbine design and site monitoring. The correction rules are clearly quantified and do not require complex calculations. It is applicable to the historical risk assessment of offshore wind power disasters and can also be directly applied to real-time risk assessment, which fully meets the actual application needs of engineering.

[0046] (6) Quantitative classification of results to adapt to risk assessment system: Vulnerability is divided into four quantitative levels. The judgment results can be used as input parameters for offshore wind power risk assessment. Combined with the hazard level, the risk level can be comprehensively judged, providing a clear quantitative basis for the risk classification and prevention and emergency response of offshore wind power disasters.

[0047] Example 2: Vulnerability Classification of a Class II Offshore Wind Turbine with a Monopile Foundation in a Certain East China Sea Area This embodiment focuses on the dynamic disaster vulnerability classification of a Class II offshore wind turbine with a monopile foundation at an offshore wind farm in the East my country Sea. This wind farm is located in an area affected by a combined typhoon and wave disaster. The specific implementation steps are as follows: First, complete the collection of basic indicators. Collect the design indicators for this wind turbine: design reference wind speed V. ref =42.5m / s, 50-year return period significant wave height H S50 =13m; confirmed that the foundation type is monopile and the wind turbine generator set is Class II; verified the DLC operating condition verification report, the wind turbine has passed all extreme load condition verifications of DLC 6 and DLC 7.

[0048] Secondly, the basic vulnerability level was determined based on the wind and wave dual indicators. This wind turbine is a Class II unit, V... ref =42.5m / s, H S50 =13m all meet the requirements of Class II units in Table 1, and the foundation vulnerability level is determined to be III (medium-low).

[0049] Next: Site adjustment was performed. Measured wind and wave data for the wind farm were collected and calculated according to IEC 61400-3-1: the 50-year return period 10-minute average wind speed at the turbine hub height at the site is 40 m / s, and the 50-year return period significant wave height at the site is 12 m; the fit coefficient was calculated. It was determined that no site modification was required.

[0050] Next, operating condition corrections were performed. Since the wind turbine passed verification under all extreme load conditions, it was determined that no operating condition corrections were needed.

[0051] Furthermore, a differentiated correction for the foundation type will be made. Since the wind turbine has a monopile foundation, the design wave height of 14m meets the requirements of Table 1, and the design reference wind speed is greater than the site wind speed. Therefore, according to the rules, no correction will be made to the foundation type, and the grade will remain unchanged.

[0052] Finally, a comprehensive correction and final vulnerability level confirmation were performed. The results of the various corrections were integrated as follows: no site correction required, no operating condition correction required, and no foundation type correction required. Therefore, the final vulnerability level was confirmed as III (low to medium) based on the original level. Vulnerability level output and application: The vulnerability level of this wind turbine was output as III (low to medium). This result can serve as a core parameter for the dynamic disaster risk assessment of this wind farm, and can be combined with the site hazard level to determine the overall risk level.

[0053] Example 3: Vulnerability Classification of High-Pile Foundation for Class III Offshore Wind Turbines in a Certain South China Sea Area This embodiment focuses on the dynamic disaster vulnerability assessment of a Class III offshore wind turbine with a high-pile foundation at an offshore wind farm in the South my country Sea. This wind farm is located in an area affected by super typhoons and extremely strong waves. The specific implementation steps are as follows: Step 1: Basic Indicator Collection. Collect the wind turbine's design specifications: design reference wind speed V. ref =37.5m / s, 50-year return period significant wave height H S50 =9m; confirmed the foundation type is a high-pile cap, and the wind turbine generator set is Class III; checked the DLC operating condition verification report, the wind turbine failed the DLC 6.4 and DLC 7.1 operating condition verifications. Second step: Determining the foundation vulnerability level based on wind-wave dual indicators. This wind turbine is a Class III unit, V ref =37.5m / s, H S50 =9m, calculated according to wind speed in Table 1, it is classified as Class II vulnerability level; calculated according to significant wave height, it is classified as Class III vulnerability level. The foundation vulnerability level is determined to be II (medium-high). The third step is site specificity verification and fit calculation. Twelve years of measured wind and wave data from the wind farm were collected. Calculations were performed according to IEC 61400-3-1 method: the 50-year return period 10-minute average wind speed at the wind turbine hub height at the site is 40 m / s, and the 50-year return period significant wave height at the site is 10 m. The fit coefficient was then calculated: ,satisfy The site vulnerability level was raised by one level. The fourth step was the Design Load Case (DLC) verification and adjustment. Because the wind turbine failed the DLC 6.4 and DLC 7.1 verification, the vulnerability level was raised by two levels. The fifth step was foundation type differentiation correction. This wind turbine has a high-pile cap foundation, a design wind speed of 37.5 m / s which meets the requirements of Table 1, and a design wave height equal to the site wave height. If the vulnerability level is less than 95% of the required level, a basic structure modification is required according to the rules, raising the vulnerability level by one level. Step Six: Comprehensive Modification and Final Vulnerability Level Confirmation. Integrate the modification results: the basic vulnerability level is II (medium-high), the site modification is raised by one level, the operating condition modification is raised by two levels, and the basic structure differentiation modification is raised by one level. Following the principle of choosing the highest level, the operating condition modification is implemented. After raising the basic level by two levels, the final vulnerability level is I (high). Step Seven: Vulnerability Level Output and Application. Output that the wind turbine's vulnerability level is I (high), indicating that the wind turbine is highly vulnerable to typhoon-wave combined dynamic disasters at this site, requiring close attention in risk assessment and the development of targeted disaster prevention and control measures.

[0054] As shown in Examples 1 to 3, to address the technical problems of significant discrepancies between the assessment results and the actual load-bearing capacity of offshore wind turbines, inaccurate vulnerability level classification, and poor adaptability in the current method for classifying the dynamic disaster vulnerability of offshore wind turbines, this invention adopts the following technical solution: It provides a method for classifying the dynamic disaster vulnerability of offshore wind turbines, applicable to fixed offshore wind turbines with monopile or high-pile foundations. This method integrates offshore wind turbine design standards and adopts a comprehensive classification method of "wind speed-wave height dual indicators + adaptive correction," dividing vulnerability into four levels: I (high), II (medium-high), III (medium-low), and IV (low). This method is a vulnerability assessment and classification method for offshore wind turbines that can both align with international design standards, consider the synergistic effects of multiple factors, and reflect different foundation types and verification results.

[0055] Based on the method for classifying the dynamic vulnerability of offshore wind turbines according to the above embodiments, and based on the same technical concept, this invention also provides a system for classifying the dynamic vulnerability of offshore wind turbines. For example... Figure 2 The diagram shows a system for classifying the dynamic disaster vulnerability of offshore wind turbines. Figure 2 The system 200 includes: a parameter acquisition module 201, used to acquire disaster-resistant design parameters of offshore wind turbines, such as parameters required for vulnerability assessment obtained from offshore wind turbine design documents, unit level data, DLC verification reports, and site wind and wave data; a foundation determination module 202, used to determine the foundation vulnerability level corresponding to the disaster-resistant design parameters according to a preset correspondence; a correction assessment module 203, used to adaptively correct the foundation vulnerability level according to the wind and wave indices and measured wind and wave data in the disaster-resistant design parameters of the offshore wind turbines, to obtain the corrected vulnerability level, wherein the adaptive correction includes site correction, operating condition correction, and foundation type differentiation correction; and a result output module 204, used to output the corrected vulnerability level and use it as an input parameter for offshore wind power disaster risk assessment.

[0056] Through the modular design described above, this system clarifies the source of parameters for vulnerability assessment, namely, the design documents and verification data as the main basis, combined with measured data for comprehensive judgment and correction. This avoids the misunderstanding that the source of parameters is simply the field collection of sensors, and can more accurately reflect the technical solution of this invention for vulnerability assessment.

[0057] The offshore wind turbine dynamic hazard vulnerability classification method system provided in this invention is based on the same technical concept as other offshore wind turbine dynamic hazard vulnerability classification methods. Through modular design, it integrates the functions of parameter acquisition, basic judgment, correction assessment, and result output modules. These modules work together to achieve accurate assessment of basic judgment and adaptive correction, outputting more accurate vulnerability levels. This enables multi-dimensional, precise, and standardized classification of offshore wind turbine vulnerability, providing a scientific and reliable quantitative basis for offshore wind power dynamic hazard risk assessment and improving the level of offshore wind power hazard risk prevention and control. The output vulnerability level is used as the core input parameter for offshore wind power dynamic hazard risk assessment, combined with the hazard level to achieve a comprehensive risk level determination. It has good engineering practicality and promotional value. This offshore wind turbine dynamic hazard vulnerability assessment and classification method, which is compatible with international design standards, considers multiple factors contributing to disasters, and reflects different foundation types and verification results, has been widely applied in offshore wind turbine vulnerability classification methods in various sea areas.

[0058] Example 4:

[0059] Based on the same technical concept as the above-described method embodiments, this invention also provides a dynamic disaster vulnerability classification system for offshore wind turbines, which can be deployed in the offshore wind turbine dynamic disaster vulnerability assessment access architecture. Figure 3 A schematic diagram of an access architecture for assessing the dynamic vulnerability of offshore wind turbines, as provided in another embodiment of the present invention, is shown below. Figure 3 As shown, the architecture includes a data access layer 301, a vulnerability assessment engine 302, a digital system interface 303, an indicator service output module 304, a processor 305, a memory 306, a communication interface 307, and an I / O interface 308.

[0060] The system comprises the following components: a data access layer 301 for accessing offshore wind turbine disaster resistance design parameters, measured wind and wave data, foundation type information, and DLC operating condition verification results; a vulnerability assessment engine 302 for performing foundation vulnerability level determination, site correction, operating condition correction, foundation type differentiation correction, and comprehensive height correction; a digital system interface 303 for data interaction between the offshore wind turbine digital twin platform, operation and maintenance management platform, risk warning module, and asset management module; an indicator service output module 304 for outputting vulnerability levels (I-IV), site suitability coefficient K, correction source labels, and risk assessment input parameters; a processor 305 for executing computer programs stored in the memory; a memory 306 for storing computer programs and related data; a communication interface 307 for supporting data communication between the system and external devices or platforms; and an I / O interface 308 for supporting input / output interaction between the system and users or peripheral devices.

[0061] Through the above architecture, the offshore wind turbine dynamic disaster vulnerability classification system provided by this invention can not only complete the automated assessment of vulnerability levels, but also output vulnerability assessment results to the offshore wind turbine digital management system in the form of standardized indicators. This provides support for comprehensive risk level determination, early warning linkage, operation and maintenance decision-making, and asset health management, further enhancing the digital and refined management capabilities of offshore wind power dynamic disaster risks.

[0062] The dynamic hazard vulnerability classification system for offshore wind turbines provided by this invention enables the assessment and classification of offshore wind turbine dynamic hazard vulnerability in a way that is compatible with international design standards, considers multiple factors contributing to synergistic disasters, and reflects different foundation types and verification results. It solves the technical problems of existing methods for classifying the dynamic hazard vulnerability of offshore wind turbines, such as significant discrepancies between assessment results and the actual load-bearing capacity of the turbines, inaccurate vulnerability classification, and poor adaptability. This system comprehensively considers disaster-causing factors, better reflecting the actual disaster-bearing characteristics of offshore wind power; it aligns with international standards, achieving uniformity in design and assessment; it differentiates foundation types for differentiated classification; it provides multi-dimensional correction to improve site adaptability; it has a clear process, strong operability, and is suitable for practical engineering applications; and it quantifies and grades results, aligning with the characteristics and advantages of risk assessment systems.

[0063] It should be noted that the offshore wind turbine dynamic disaster vulnerability classification system provided in this embodiment of the invention and the offshore wind turbine dynamic disaster vulnerability classification method provided in this embodiment of the invention are based on the same application concept. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned offshore wind turbine dynamic disaster vulnerability classification method, and has the same or similar beneficial effects. Repeated parts will not be described again.

[0064] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0065] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for classifying the dynamic disaster vulnerability of offshore wind turbines, characterized in that, The method for classifying dynamic disaster vulnerability includes: Obtain disaster-resistant design parameters for offshore wind turbines; The basic vulnerability level corresponding to the disaster resistance design parameters is determined according to a preset correspondence; wherein, the disaster resistance design parameters include wind and wave indices; Based on the wind and wave indices and measured wind and wave data in the disaster resistance design parameters of the offshore wind turbine, the basic vulnerability level is corrected to obtain the corrected vulnerability level. Output the revised vulnerability level.

2. The method for classifying dynamic disaster vulnerability according to claim 1, characterized in that, The basic vulnerability level is corrected based on the wind and wave indices and measured wind and wave data in the disaster resistance design parameters of the offshore wind turbine, resulting in a corrected vulnerability level, including: Based on the wind and wave indices in the disaster resistance design parameters and the measured wind and wave data of the offshore wind turbine site, the site vulnerability level of the foundation is corrected to obtain the site correction result. Based on the disaster resistance design parameters and the operating condition verification results of the offshore wind turbine, the basic vulnerability level is adjusted according to the operating condition to obtain the adjusted operating condition result. Based on the foundation type of the offshore wind turbine, the wind and wave indices in the disaster resistance design parameters, and the measured wind and wave data of the offshore wind turbine site, the foundation vulnerability level is modified by the foundation type to obtain differentiated modification results for the foundation type. The site correction results, working condition correction results, and foundation type differentiation correction results are comprehensively corrected to obtain the corrected vulnerability level.

3. The method for classifying dynamic disaster vulnerability according to claim 2, characterized in that, The site correction is performed on the foundation vulnerability level based on the wind and wave indices in the disaster resistance design parameters and the measured wind and wave data of the offshore wind turbine site, resulting in the site correction result, including: An extreme value distribution algorithm was used to fit the measured wind and wave data to the site wave height and site wind speed. The site fit coefficient K is obtained by dividing the product of the wind index design reference wind speed in the disaster resistance design parameters and the wave index design effective wave height in the disaster resistance design parameters by the product of the fitted site wave height and site wind speed. The site correction result is obtained by applying the adaptability coefficient K to the basic vulnerability level.

4. The method for classifying dynamic disaster vulnerability according to claim 3, characterized in that, The process of site-correcting the basic vulnerability level based on the fit coefficient K to obtain the site correction result includes: When the fit coefficient satisfies K≥1.0, the site correction result is to maintain the aforementioned basic vulnerability level; When the fit coefficient satisfies 0.8≤K<1.0, the site correction result is to raise the basic vulnerability level by one level; When the fit coefficient satisfies K < 0.8, the site correction result is to increase the basic vulnerability level by two levels.

5. The method for classifying dynamic disaster vulnerability according to claim 2, characterized in that, The condition correction is performed on the foundation vulnerability level based on the disaster resistance design parameters and the operating condition verification results of the offshore wind turbine, resulting in the following: The design load condition disaster resistance design parameters of the offshore wind turbine were verified, and the verification results were obtained. The design load condition disaster resistance design parameters include DLC-6 in shutdown state and DLC-7 in shutdown and fault state. When all verification results of the offshore wind turbine pass the shutdown state DLC-6 and shutdown combined with failure state DLC-7, the operating condition correction result is to maintain the basic vulnerability level. If the verification result of the offshore wind turbine fails to pass the single-condition verification in either the shutdown state DLC-6 or the shutdown and failure state DLC-7, the condition correction result is to raise the basic vulnerability level by one level. If the verification results of the offshore wind turbine fail the operational condition verification under both the shutdown state DLC-6 and the shutdown and failure state DLC-7, the operational condition correction result is to raise the basic vulnerability level by two levels.

6. The method for classifying dynamic disaster vulnerability according to claim 2, characterized in that, The method involves modifying the foundation vulnerability level based on the foundation type of the offshore wind turbine, the wind and wave indices in the disaster resistance design parameters, and the measured wind and wave data at the site of the offshore wind turbine, to obtain differentiated foundation type modification results, including: When the foundation type meets the requirements of a monopile foundation, determine whether the design wave height of the offshore wind turbine meets the requirements of the wave index design effective wave height in the preset correspondence relationship, and whether the design reference wind speed in the disaster resistance design parameters is not lower than 95% of the site wind speed in the measured data; Under the condition that the basic form differentiation correction result is to maintain the aforementioned basic vulnerability level; If the conditions are not met, the basic form differentiation correction result is to raise the basic vulnerability level by one level.

7. The method for classifying dynamic disaster vulnerability according to claim 2, characterized in that, The step of modifying the foundation vulnerability level based on the foundation type of the offshore wind turbine, the wind and wave indices in the disaster resistance design parameters, and the measured wind and wave data of the offshore wind turbine site, to obtain differentiated foundation type modification results, also includes: When the foundation type meets the requirements of a high-pile cap foundation, it is determined whether the design wind speed of the offshore wind turbine meets the requirements of the design reference wind speed in the preset correspondence relationship, and whether the design effective wave height in the disaster resistance design parameters is not less than 95% of the site wave height in the measured data; Under the condition that the basic form differentiation correction result is to maintain the aforementioned basic vulnerability level; If the conditions are not met, the basic form differentiation correction result is to raise the basic vulnerability level by one level.

8. The method for classifying dynamic disaster vulnerability according to claim 2, characterized in that, The process of comprehensively correcting the site correction results, operating condition correction results, and foundation type differentiation correction results to obtain the corrected vulnerability level includes: Based on the principle of choosing the highest value, the correction result that causes the largest change in the foundation vulnerability level among the site correction result, working condition correction result, and foundation type differentiation correction result is selected as the corrected vulnerability level.

9. The method for classifying dynamic disaster vulnerability according to claim 1, characterized in that, The pre-defined disaster resistance design parameters include the level of the wind turbine generator set, the wind speed value of the design reference wind speed, the wave height range of the design effective wave height, and the vulnerability level corresponding to each disaster resistance design parameter.

10. A system for classifying the dynamic disaster vulnerability of offshore wind turbines, characterized in that, The dynamic disaster vulnerability classification system for offshore wind turbines includes: The parameter acquisition module is used to acquire the disaster resistance design parameters of offshore wind turbines; The basic judgment module is used to determine the basic vulnerability level corresponding to the disaster resistance design parameters according to a preset correspondence; wherein, the disaster resistance design parameters include wind and wave indices; The correction assessment module is used to correct the basic vulnerability level based on the wind and wave indices and measured wind and wave data in the disaster resistance design parameters of the offshore wind turbine, so as to obtain the corrected vulnerability level. The results output module is used to output the corrected vulnerability level.

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