Wind Turbine Equivalent Load Detection via Calibration Model
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Solution Overview
Problem
Current methods for detecting the equivalent load of wind turbines are costly due to the need for individual sensors and have low detection accuracy, especially when relying on pre-built databases.
Innovation Solution
A method and device that detect environment data from multiple wind turbines, using a calibration wind turbine to calculate and adjust an equivalent load estimation model, which represents the relationship between environment data and equivalent load, allowing for precise detection without individual sensors and improving accuracy over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are arranged for each wind turbine to acquire original load data, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses a calibration wind turbine as a reference model to create a load estimation model that can predict equivalent loads for other wind turbines without requiring individual sensors on each turbine. The model copies the load characteristics from the calibrated turbine based on environmental data correlations.
Solution Approach 2:
The patent introduces environmental data (wind speed, wind direction, turbulence intensity) as intermediary parameters that correlate with wind turbine loads. These intermediaries allow indirect estimation of equivalent loads without direct sensor measurement on each turbine.
2Device complexity
If a database with large amount of detection data is built to determine equivalent load by searching, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent implements an iterative calibration process where the load estimation model is continuously refined using feedback from actual sensor measurements on a calibration wind turbine. The model parameters are adjusted based on the difference between predicted and measured loads, improving accuracy over time.
Solution Approach 2:
The patent performs preliminary calibration of the load estimation model using data from a calibration wind turbine before applying the model to estimate loads on other turbines. This pre-calibration phase establishes accurate relationships between environmental data and load characteristics.
Data Source
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AI summary
A method and device for detecting equivalent load of wind turbine are provided. The method includes: detecting environment data of each wind turbine of multiple wind turbines in wind farm in each detection period; and in each detection period, detecting load of one or more calibration wind turbines in the multiple wind turbines, calculating equivalent load of the calibration wind turbines based on detected load, and determining equivalent load of each wind turbine based on detected environment data of each wind turbine with load estimation model, where load estimation model represents relation between environment data and equivalent load of wind turbine, and before load estimation model is applied in each detection period, parameter of load estimation model is calibrated based on the equivalent load calculated in current detection period and the equivalent load of the calibration wind turbines determined with load estimation model in previous detection period.