Wind Turbine Parameter Estimation Using Reliable Sensor Selection
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Solution Overview
Problem
Wind turbine sensors can be noisy and unreliable, leading to non-optimal operation and potential damage, which affects the integrity and efficiency of the turbine.
Innovation Solution
A method for estimating operational parameters using a wind turbine controller that receives data from multiple sensors, determines reliability, and uses a mathematical model to filter out unreliable data, improving accuracy by excluding noisy measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to monitor wind turbine operational parameters, then measurement coverage and monitoring capability are improved, but sensor noise and unreliability increase leading to non-optimal operation
Solution Approach 1:
The system continuously monitors sensor outputs and compares them against expected operational ranges. When a sensor reading falls outside the expected range, the system generates feedback to identify and exclude that sensor from subsequent calculations, dynamically adjusting which sensors are trusted based on real-time performance validation
Solution Approach 2:
The controller acts as an intermediary between multiple sensors and the operational parameter calculations. It processes sensor data, evaluates reliability based on predefined criteria, and selectively uses only trustworthy sensor readings in the mathematical model, filtering out noisy or unreliable measurements before they affect operational decisions
2Reliability
If unreliable sensor data is used for control calculations, then actuator overuse and increased vibrations occur, but excluding sensor data reduces measurement accuracy
Solution Approach 1:
The system implements feedback mechanisms that continuously validate sensor readings against physical constraints and operational expectations. When inconsistencies are detected, the system automatically adjusts which sensors are included in calculations, ensuring that only reliable data drives actuator commands while maintaining accurate operational parameter estimation
Solution Approach 2:
The system dynamically changes the set of active sensors based on their reliability status. By adjusting which sensors are included in the mathematical model calculations, the system optimizes the balance between measurement accuracy and operational reliability, excluding only those sensors that are proven unreliable while maintaining sufficient data coverage from trusted sensors
Data Source
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AI summary
The present disclosure relates to methods (100, 200) for estimating an actual value of an operational parameter (67) of a wind turbine (10). A method (100) comprises determining (120) which sensors of a plurality of sensors (61) of the wind turbine (10) are reliable and which sensors of the plurality of sensors (61) are unreliable. The method (100) further comprises estimating (130) the actual value of the operational parameter (67) based on a mathematical model and on data related to the operational parameter (63) measured by the reliable sensors.