Offshore wind turbine generator set and key component deterioration trend analysis method
By using the relative degradation analysis method, the problem of inconsistent units and ranges in the multi-dimensional index analysis of offshore wind turbine components was solved, enabling accurate comparison of multi-dimensional indexes and improving the performance and economic benefits of offshore wind power systems.
Patent Information
- Application Number
- CN202410611510.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-16
- Publication Date
- 2025-11-18
AI Technical Summary
Existing multi-dimensional index analyses of offshore wind turbine components suffer from inaccurate comparisons due to inconsistent units and scopes.
The relative degradation analysis method is adopted. By collecting monitoring data of wind turbine components, setting degradation indexes, calculating relative degradation, and combining discrete probability analysis and anomaly distribution analysis, the degradation trend of different wind turbine components is obtained.
It enables the comparison of multi-dimensional indicators using unified units, improves the accuracy and reliability of analysis results, and provides a scientific basis for improving the overall performance and economic benefits of offshore wind power systems.
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Figure CN120969062A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of wind turbine component degradation analysis, in particular to a method for analyzing the degradation trend of offshore wind turbine components and key components. BACKGROUND
[0002] With the increasing global energy demand and the rising awareness of environmental protection, offshore wind power as an important part of clean energy has received more and more attention. Offshore wind turbine components are the core part of offshore wind power systems, and the evaluation of their performance indicators is crucial for the safe and stable operation of the system and efficient power generation. However, offshore wind turbine components involve numerous components and multi-dimensional indicators, such as the material, structure, and durability of components such as blades, tower, and generator, which need to be comprehensively evaluated. Through comprehensive evaluation of the multi-component and multi-dimensional indicators of offshore wind turbine components, scientific basis can be provided for design, manufacturing, and operation, improving the overall performance and economic benefits of offshore wind power systems and promoting the development and application of clean energy. Therefore, comprehensive evaluation of offshore wind turbine components has important background and significance.
[0003] Offshore wind turbine components include multiple components, each with multiple dimensions of indicators that need to be compared and analyzed. However, due to the different units and ranges of indicators of each component, direct comparison and analysis may result in unfair situations. In order to compare and analyze these indicators, a relative degradation degree analysis method is used to normalize these indicators. SUMMARY
[0004] The present application provides a method for analyzing the degradation trend of offshore wind turbine components and key components to solve the existing problem of inaccurate comparison and analysis of multi-dimensional indicators due to non-uniform units and ranges.
[0005] The offshore wind turbine component and key component degradation trend analysis method of the present application adopts the following technical solutions:
[0006] In the first aspect of the present application, a method for analyzing the degradation trend of offshore wind turbine components and key components is provided, which includes:
[0007] Collecting monitoring data of different wind turbine components, and obtaining wind turbine component degradation degree parameters based on wind turbine component detection data;
[0008] Setting degradation indicators for different wind turbine components, determining the types of degradation indicators for different wind turbine components, and combining wind turbine component degradation degree parameters and wind turbine component degradation indicators to obtain the relative degradation degree of different wind turbine components.
[0009] The relative degradation degrees of different components of different wind turbines are combined to obtain the degradation trends of different components of different wind turbines, and the degradation trends of different components of different wind turbines are compared to complete the comparison of multi-dimensional indexes of different components of different wind turbines.
[0010] Further, the monitoring data of different components of different wind turbines are collected, and the specific method comprises:
[0011] A plurality of sets of monitoring data of different components of different wind turbines are collected in time sequence and fixed time interval by installing sensors and monitoring equipment, including temperature and power information.
[0012] Further, the relative degradation degrees of different components of different wind turbines are combined to obtain the degradation trends of different components of different wind turbines, and the specific method comprises:
[0013] The monitoring data of a plurality of sets of different components of different wind turbines are analyzed by using discrete probability analysis and abnormal point distribution analysis to obtain the deviation degree of the monitoring data of a plurality of sets of different components of different wind turbines; and the deviation degree mean of a plurality of sets of monitoring data of different components of different wind turbines is calculated as the degradation degree parameter corresponding to different components of different wind turbines.
[0014] Further, the degradation indexes of different components of different wind turbines are set, and the specific method comprises:
[0015] The degradation indexes of wind turbines are set according to the degradation determination method of different components of different wind turbines combined with experience values, including the maximum degradation value x max allowed by the wind turbine during normal operation, the minimum degradation value x min ; if there is an optimal degradation value interval during normal operation of a component of a wind turbine, the optimal degradation value interval [x a , x b ] also needs to be recorded, and the degradation value x max , the minimum degradation value x min and the optimal degradation value interval [x a , x b ] are recorded as the degradation indexes of the component of the wind turbine.
[0016] Further, the relative degradation degrees of different components of different wind turbines are combined to obtain the degradation trends of different components of different wind turbines, and the specific method comprises:
[0017] If the best deterioration value interval is not contained in the deterioration index of the wind turbine component, the relative deterioration degree is calculated according to the maximum deterioration value and the minimum deterioration value in combination with the deterioration degree parameter of the wind turbine component; if the best deterioration value interval is contained in the deterioration index of the wind turbine component, the relative deterioration degree needs to be calculated in combination with the best deterioration value interval, the maximum deterioration value and the minimum deterioration value and the deterioration degree parameter of the wind turbine component.
[0018] Further, the specific method for calculating the relative deterioration degree according to the maximum deterioration value and the minimum deterioration value in combination with the deterioration degree parameter of the wind turbine component comprises:
[0019] Specifically, for the relative deterioration degree calculation method of the deterioration value index not containing the best deterioration value interval, the following formula is used:
[0020]
[0021] In the formula, d(x) represents the relative deterioration degree, x represents the deterioration degree parameter of the wind turbine component, x max and x min respectively represent the maximum deterioration value and the minimum deterioration value corresponding to the deterioration degree parameter of the wind turbine component.
[0022] Further, the specific method for calculating the relative deterioration degree in combination with the best deterioration value interval, the maximum deterioration value and the minimum deterioration value and the deterioration degree parameter of the wind turbine component comprises:
[0023] For the relative deterioration degree calculation method of the deterioration value index containing the best deterioration value interval, the following formula is used:
[0024]
[0025] In the formula, d(x) represents the relative deterioration degree, x represents the deterioration degree parameter of the wind turbine component, x max and x min respectively represent the maximum deterioration value and the minimum deterioration value corresponding to the deterioration degree parameter of the wind turbine component, x a and x b respectively represent the minimum value and the maximum value of the best deterioration value interval.
[0026] In the second aspect of the present application, a system for analyzing the deterioration trend of offshore wind turbine and key components is provided, which comprises a collection module, a data acquisition module and a data analysis module, wherein:
[0027] The data collection module collects monitoring data of different wind turbine components, and obtains the deterioration degree parameter of the wind turbine component according to the monitoring data of the wind turbine component;
[0028] The data analysis module sets the degradation indexes of different wind turbine components, judges the degradation index types of different wind turbine components, combines the wind turbine component degradation degree parameters and the degradation indexes of the wind turbine components to obtain the relative degradation degrees of different wind turbine components.
[0029] The data calculation module is used for combining the relative degradation degrees of different wind turbine components to obtain the degradation trends of different wind turbine components, and comparing the degradation trends of different wind turbine components to complete the comparison of multi-dimensional indexes of different wind turbine components.
[0030] In a third aspect, the present application provides a computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the offshore wind turbine and key component degradation trend analysis method.
[0031] In a fourth aspect, the present application provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the offshore wind turbine and key component degradation trend analysis method.
[0032] The technical scheme of the present application has the beneficial effects that: the wind turbine component degradation degree parameters are calculated according to the time sequence to collect multiple sets of wind turbine detection data, so that the calculated degradation degree parameters are more accurate, the degradation indexes of different wind turbines are set to adapt to complex parameter range scenarios, the relative degradation degrees are obtained according to different degradation indexes combined with the wind turbine component degradation degree parameters to normalize different range parameters, unify the units to facilitate the comparison of multi-dimensional indexes, and the comparison results are more accurate. BRIEF DESCRIPTION OF DRAWINGS
[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.
[0034] Figure 1 The flow chart of the steps of the offshore wind turbine and key component degradation trend analysis method of the present application;
[0035] Figure 2 The structural block diagram of the offshore wind turbine and key component degradation trend analysis system of the present application; DETAILED DESCRIPTION
[0036] In order to further illustrate the technical means and effects taken by the present application to achieve the predetermined inventive purpose, the following describes in detail the specific implementation, structure, features and effects of a kind of offshore wind turbine and key component degradation trend analysis method according to the present application, combined with the preferred embodiments and the drawings. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.
[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
[0038] The specific scheme of the offshore wind turbine and key component degradation trend analysis method provided by the present application is described below in detail with reference to the drawings.
[0039] Please refer to Figure 1 , which shows the step flowchart of a kind of offshore wind turbine and key component degradation trend analysis method provided by one embodiment of the present application. The method comprises the following steps:
[0040] Step S001: Collect different wind turbine component monitoring data, and obtain wind turbine component degradation degree parameters according to wind turbine component detection data.
[0041] Specifically, a plurality of sets of monitoring data of different wind turbine components are collected in time sequence and fixed time interval by installing sensors and monitoring equipment, including temperature, power information;
[0042] The deviation degree of the monitoring data of the plurality of sets of different wind turbine components is obtained by using discrete probability analysis and abnormal point distribution analysis. The mean value of the deviation degree of the plurality of sets of monitoring data of different wind turbine components is calculated as the corresponding degradation degree parameter of different wind turbine components.
[0043] Step S002: Set the degradation index of different wind turbine components, judge the degradation index type of different wind turbine components, and combine the wind turbine component degradation degree parameter and the degradation index of the wind turbine component to obtain the relative degradation degree of different wind turbine components.
[0044] Specifically, the wind turbine degradation index is set according to the degradation determination method of different wind turbine components combined with the experience value, including the maximum degradation value x max allowed by the wind turbine during normal operation min ; if there is an optimal degradation value interval during normal operation of a certain wind turbine component, the optimal degradation value interval [x a , x b ] also needs to be recorded max, the minimum degradation value x min and the optimal degradation value interval [x a , x b ] are recorded as the degradation index of the wind turbine component.
[0045] It should be noted that for degradation values of the smaller-the-better type, such as the gearbox temperature, only the maximum degradation value and the minimum degradation value need to be recorded; for degradation values of the intermediate optimal type, such as the generator output power, the optimal degradation value interval also needs to be recorded.
[0046] It is determined whether the degradation index of the wind turbine component contains the optimal degradation value interval. If the degradation index of the wind turbine component does not contain the optimal degradation value interval, the relative degradation degree is calculated according to the maximum degradation value and the minimum degradation value in combination with the degradation degree parameter of the wind turbine component. If the degradation index of the wind turbine component contains the optimal degradation value interval, the relative degradation degree needs to be calculated in combination with the optimal degradation value interval, the maximum degradation value and the minimum degradation value, and the degradation degree parameter of the wind turbine component.
[0047] Specifically, for the relative degradation degree calculation method of the degradation value index not containing the optimal degradation value interval, the following formula is used:
[0048]
[0049] In the formula, d(x) represents the relative degradation degree, x represents the degradation degree parameter of the wind turbine component, x max and x min respectively represent the maximum degradation value and the minimum degradation value corresponding to the degradation degree parameter of the wind turbine component.
[0050] For the relative degradation degree calculation method of the degradation value index containing the optimal degradation value interval, the following formula is used:
[0051]
[0052] In the formula, d(x) represents the relative degradation degree, x represents the degradation degree parameter of the wind turbine component, x max and x min respectively represent the maximum degradation value and the minimum degradation value corresponding to the degradation degree parameter of the wind turbine component, x a and x b respectively represent the minimum value and the maximum value of the optimal degradation value interval.
[0053] It should be noted that the purpose of this step is to limit the value range of the degradation degree to 0 to 1, so as to facilitate the comparison of multi-dimensional indexes of different wind turbine components.
[0054] Step S003, the relative degradation degree of different components of different wind turbines is obtained to obtain the degradation trend of different components of different wind turbines, and the degradation trends of different components of different wind turbines are compared to complete the comparison of multi-dimensional indexes of different components of different wind turbines.
[0055] The average of the relative degradation degrees of different components of the same wind turbine is calculated as the multi-dimensional index of the wind turbine, and the multi-dimensional indexes of different wind turbines are compared, and the larger the index is, the lower the degradation degree of the component of the wind turbine is.
[0056] Please refer to Figure 2 It shows that the second object of the embodiment of the application is to provide a structure block diagram of an offshore wind turbine and key component degradation trend analysis system, which comprises the following modules:
[0057] The data acquisition module acquires monitoring data of different components of wind turbines, and obtains the degradation degree parameters of the components of the wind turbines according to the monitoring data of the components of the wind turbines;
[0058] The data analysis module sets the degradation indexes of different components of wind turbines, judges the types of the degradation indexes of different components of wind turbines, and obtains the relative degradation degrees of different components of wind turbines in combination with the degradation degree parameters of the components of the wind turbines and the degradation indexes of the components of the wind turbines.
[0059] The data calculation module is used to obtain the degradation trends of different components of different wind turbines in combination with the relative degradation degrees of different components of different wind turbines, and compare the degradation trends of different components of different wind turbines to complete the comparison of multi-dimensional indexes of different components of different wind turbines.
[0060] The third object of the embodiment of the application is to provide a computer device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the offshore wind turbine and key component degradation trend analysis method when executing the computer program.
[0061] The fourth object of the embodiment of the application is to provide a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the offshore wind turbine and key component degradation trend analysis method when executed by a processor.
[0062] The embodiment collects multiple sets of monitoring data of wind turbines in time sequence and calculates the degradation degree parameters of the components of the wind turbines, so that the calculated degradation degree parameters are more accurate, the degradation indexes of different wind turbines are set to adapt to complex parameter range scenarios, the relative degradation degrees are obtained in combination with the degradation degree parameters of the components of the wind turbines according to different degradation indexes, different range parameters are normalized, the units are unified, the comparison of multi-dimensional indexes is facilitated, and the comparison result is more accurate.
[0063] Those skilled in the art will appreciate that embodiments of the present application can be readily used as a method, apparatus such as a system, or computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.
[0064] The present application is described in reference to the drawings using a flowchart and / or a block diagram of the method, apparatus (system) and computer program product according to embodiments of the application. It will be understood that each block of the flowchart and / or block diagram, and combinations of blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processing device or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 means for carrying out each of the functionality described in the flowchart and / or block diagram block or blocks.
[0065] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 means for carrying out each of the functionality described in the flowchart and / or block diagram block or blocks.
[0066] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 means for carrying out each of the functionality described in the flowchart and / or block diagram block or blocks.
[0067] Finally, it should be noted that the above-mentioned embodiments are merely intended for describing and illustrating, not limiting, the technical solution of the present application. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that the specific embodiments of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, and any modification or equivalent replacement without departing from the spirit and scope of the present application should be covered in the protection scope of the claims of the present application.
Claims
1. A method for analyzing the degradation trend of offshore wind turbine units and key components, characterized in that, include: Collect monitoring data of different wind turbine components, and obtain parameters of the degree of deterioration of wind turbine components based on the wind turbine component monitoring data; Set degradation indices for different wind turbine components, determine the types of degradation indices for different wind turbine components, and obtain the relative degradation degree of different wind turbine components by combining the degradation degree parameters and degradation indices of wind turbine components. By combining the relative degradation degree of different components of different wind turbine units, the degradation trend of different wind turbine components is obtained, and the degradation trends of different wind turbine components are compared to complete the comparison of multi-dimensional indicators of different wind turbine components.
2. The method for analyzing the degradation trend of offshore wind turbines and key components according to claim 1, characterized in that, The specific methods for collecting monitoring data of different wind turbine components are as follows: By installing sensors and monitoring equipment, monitoring data of multiple sets of different wind turbine components are collected at fixed time intervals, including temperature and power information.
3. The method for analyzing the degradation trend of offshore wind turbines and key components according to claim 1, characterized in that, The specific method for obtaining the degradation trend of different wind turbine components by combining the relative degradation degree of different components of different wind turbines includes: Discrete probability analysis and outlier distribution analysis were used to analyze the monitoring data of multiple sets of different wind turbine components to obtain the degree of deviation of the monitoring data of multiple sets of different wind turbine components. The mean of the degree of deviation of the monitoring data of multiple sets of different wind turbine components was calculated as the degradation degree parameter corresponding to different wind turbine components.
4. The method for analyzing the degradation trend of offshore wind turbines and key components according to claim 1, characterized in that, The specific methods for setting degradation indices for different wind turbine components are as follows: Specifically, based on the degradation judgment methods for different wind turbine components and combined with empirical values, wind turbine degradation indicators are set, including the maximum allowable degradation value x during normal operation of the wind turbine. max Minimum degradation value x min If a wind turbine component has an optimal degradation range during normal operation, then the optimal degradation range [x] also needs to be recorded. a ,x b Deterioration value x max Minimum degradation value x min and the optimal degradation range [x a ,x b This is recorded as a degradation index for wind turbine components.
5. The method for analyzing the degradation trend of offshore wind turbines and key components according to claim 1, characterized in that, The determination of the relative degradation degree of different wind turbine components by combining the degradation degree parameters and degradation indices of wind turbine components includes: To determine whether the degradation index of a wind turbine component includes an optimal degradation value range, if the degradation index does not include an optimal degradation value range, the relative degradation degree is calculated based on the maximum and minimum degradation values combined with the degradation degree parameters of the wind turbine component. If the degradation index includes an optimal degradation value range, the relative degradation degree needs to be calculated by combining the optimal degradation value range, the maximum and minimum degradation values, and the degradation degree parameters of the wind turbine component.
6. The method for analyzing the degradation trend of offshore wind turbines and key components according to claim 5, characterized in that, The specific method for calculating the relative degradation degree based on the maximum and minimum degradation values combined with the degradation degree parameters of the wind turbine components includes: The method for calculating the relative degradation degree, which does not include the optimal degradation value range in the degradation value index, is as follows: In the formula, d(x) represents the relative degradation degree, and x represents the degradation degree parameter of the wind turbine component. max and x min These represent the maximum and minimum degradation values corresponding to the degradation parameters of the wind turbine components, respectively.
7. The method for analyzing the degradation trend of offshore wind turbines and key components according to claim 5, characterized in that, The specific method for calculating the relative degradation degree by combining the optimal degradation value range, the maximum degradation value, the minimum degradation value, and the degradation degree parameters of the wind turbine components includes: The method for calculating the relative degradation degree, which includes the optimal degradation value range in the degradation value index, is as follows: In the formula, d(x) represents the relative degradation degree, and x represents the degradation degree parameter of the wind turbine component. max and x min These represent the maximum and minimum degradation values corresponding to the degradation parameters of wind turbine components, respectively. a and x b These represent the minimum and maximum values of the optimal degradation range, respectively.
8. A system for analyzing the degradation trend of offshore wind turbines and key components, characterized in that, include: The data acquisition module collects monitoring data from different wind turbine components and obtains parameters of the degree of deterioration of wind turbine components based on the detection data. The data analysis module sets degradation indices for different wind turbine components, determines the type of degradation indices for different wind turbine components, and obtains the relative degradation degree of different wind turbine components by combining the degradation degree parameters and degradation indices of wind turbine components. The data calculation module is used to combine the relative degradation degree of different components of different wind turbines to obtain the degradation trend of different wind turbine components, and compare the degradation trends of different wind turbine components to complete the comparison of multi-dimensional indicators of different wind turbine components.
9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for analyzing the degradation trend of offshore wind turbines and key components as described in any one of claims 1 to 7.
10. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method for analyzing the degradation trend of offshore wind turbines and key components as described in any one of claims 1 to 7.