Wind Turbine Tower Oscillation Damping via Dynamic Power Filtering
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Solution Overview
Problem
Conventional methods for controlling wind turbines to dampen tower oscillations introduce errors in active power production, leading to instability in the utility grid and increased fatigue on the turbine, as the tower eigenfrequency overlaps with the bandwidth of the park level active power feedback controller.
Innovation Solution
A method involving dynamic filtering of utility grid active power using a band-stop filter to reduce frequency components associated with tower oscillations, combined with a control strategy that adds a damping signal to the wind turbine's power output to counteract these oscillations, thereby improving grid stability and reducing active power errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If conventional methods modulate active power production with tower eigenfrequency to dampen tower oscillations, then tower oscillations are damped, but errors in active power production occur causing grid instability and increased fatigue load
Solution Approach 1:
The control system is segmented into separate functional blocks: a tower oscillation damping controller that generates damping signals at tower eigenfrequency, and a park level active power feedback controller that manages active power production. The damping signal is extracted and processed separately from the active power control loop, allowing independent optimization of each function without interference
Solution Approach 2:
The damping signal component at tower eigenfrequency is extracted from the active power feedback signal using frequency analysis (e.g., FFT or band-pass filtering). This extracted damping signal is then used to modulate individual turbine power references, separating the oscillation damping function from the overall active power control to prevent grid instability
2Reliability
If the park level controller counteracts the tower damping signal, then active power errors are reduced, but more fatigue load is introduced on the wind turbine and tower damping effectiveness is reduced
Solution Approach 1:
The control system dynamically adjusts power references for individual turbines based on real-time tower oscillation detection. The damping signal modulation is applied dynamically to counteract oscillations, while the park level controller dynamically compensates for the resulting active power deviations, creating a balanced dynamic control strategy that reduces fatigue loads while maintaining damping effectiveness
Solution Approach 2:
A multi-loop feedback system is implemented: individual turbine tower oscillation feedback generates damping signals, park level active power feedback detects deviations caused by damping, and a coordinated control mechanism adjusts power distribution to compensate for these deviations, reducing fatigue loads while preserving oscillation damping
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively dampens wind turbine tower oscillations while maintaining compliance with externally defined active power references, reducing fatigue on the turbine and enhancing grid stability by isolating the damping signal from the active power control loop.
Implementation Method 1
dynamically filtering a utility grid active power in dependence of a damping signal provided for counteracting an oscillation of the wind turbine tower
Data Source
AI summary
Provided is a method of controlling at least one wind turbine having a wind turbine tower and being connected to a utility grid, the method including: dynamically filtering a utility grid active power in dependence of a damping signal provided for counteracting an oscillation of the wind turbine tower; and controlling the wind turbine in dependence of the filtered utility grid active power.