Wind Turbine Rotor Blade Stuck Condition Detection
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Solution Overview
Problem
Wind turbines with stuck rotor blades experience increased loads and rotor imbalance due to paddling phenomena, which existing control strategies fail to effectively address, especially when the turbine is idling or parked.
Innovation Solution
A method and system that monitor the rotational speed of wind turbines, apply filtering operations to detect stuck blade conditions, and perform control operations to reduce loading by adjusting the nacelle's yaw position relative to the wind direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional control strategies actively track wind direction to minimize start-up delays, then alignment with wind direction is improved, but rotor imbalance and increased loads occur when a blade is stuck
Solution Approach 1:
The system continuously monitors rotor speed and compares it against expected values to detect stuck blade conditions. This feedback mechanism enables the control system to identify when a blade is stuck and adjust yaw positioning accordingly, preventing rotor imbalance while maintaining efficient start-up performance.
Solution Approach 2:
The system changes the yaw angle parameter based on detected stuck blade conditions. By adjusting the nacelle's yaw position away from perfect wind alignment when a stuck blade is detected, the system prevents the paddling effect and associated rotor imbalance, while still allowing efficient operation during normal conditions.
2Power
If the wind turbine maintains perfect alignment with wind direction, then energy capture is maximized, but paddling phenomenon causes large spikes in rotor/generator speed
Solution Approach 1:
The system performs preliminary detection of stuck blade conditions by monitoring rotor speed patterns before the paddling phenomenon can cause harmful speed spikes. By identifying the stuck blade condition early, the control system can proactively adjust yaw positioning to prevent the harmful effect from occurring.
Solution Approach 2:
The system converts the potentially harmful paddling effect into a useful diagnostic indicator. The irregular rotor speed patterns that would normally cause damage are instead used as feedback signals to detect stuck blade conditions, enabling the system to adjust operation and prevent actual harm while maintaining energy capture efficiency.
3Measurement precision
If filtering operations are applied to rotor speed data to detect stuck blade conditions, then detection accuracy is improved, but response time increases
Solution Approach 1:
The system applies filtering operations selectively rather than continuously to all rotor speed data. By filtering only when certain conditions are met or using lighter filtering when response time is critical, the system achieves adequate detection accuracy without excessively delaying the response to stuck blade conditions.
Data Source
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AI summary
A method (400) for detecting when a rotor blade (22) of a wind turbine (10) is stuck is described. The method (400) can include monitoring (402), via a controller (26), a speed of rotation of the wind turbine (10), and, determining (404), via the controller (26), a running average of the speed of rotation. The method (400) further includes applying (406), via the controller (26), at least one filtering operation to the running average to obtain a filtered value, and, determining (408), via the controller (26), a stuck condition of one or more rotor blades (22) of the wind turbine (10) based on the filtered value. The method (400) can also include performing (410) a control operation to reduce loading on the wind turbine (10) based on the stuck condition.