Dynamic brake configuration reduces torque during grid loss, enabling controlled downwind yawing and preventing equipment damage.
Dynamic pitch control adjusts blade angles based on rotor speed and wind measurements to optimize torque production during start-up.
A wind turbine converter reduces active current to a fixed value during voltage dips and ramps power back gradually after faults.
Dynamic actuator selection adapts to operating states, resolving the trade-off between noise reduction effectiveness and device complexity.
Blade tip devices increase radial turbulence to accelerate wake recovery.
Segmented rotors and curved stator vanes increase wind capture area while lowering the minimum windspeed required for rotation.
A crank slide actuator system drives air deflectors on wind turbine blades to manage aerodynamic loads.
A wind turbine generator system estimates actual wind direction using quadratic curve approximation of average generator output power.
A wind turbine control system adjusts operating limits based on real-time component conditions to optimize power generation.
A controller system selects wind turbines for deactivation based on real-time fatigue data to balance wear across the park.
A pitch power controller dynamically distributes hub electrical energy between blade heating and pitch actuation.
Quantifies wake losses by comparing actual farm output against estimated freestream power to validate upgrade benefits.
Eccentric stator positioning channels heat to the nacelle wall, while active cooling maintains a constant rotor gap to prevent deformation.
Stationary optical sensors measure bearing ring deformation to determine rotor blade loads, eliminating unreliable strain gauges and reducing device complexity.
Dynamic thermal limits allow temporary exceedance of stationary constraints, maximizing energy production while preventing component overload.
A LiDAR sensor reconstructs three-dimensional wind fields using weighted recursive least squares optimization to estimate upstream wind speed and direction.
Segmenting control loops resolves grid instability while managing system complexity through dynamic mode prioritization.
Segmented load management devices on wind turbine blades use variable actuation sequences to optimize aerodynamic performance.
A wind turbine control device adjusts rotor blade angles using dynamic characteristic curves to maximize energy yield during operation.
Alternating bracing positions distributes stress across teeth, preventing pitting damage in the slewing ring.
Segmenting prediction by climatic conditions resolves accuracy versus complexity trade-offs in wind turbine energy estimation.
A segmented power reservoir absorbs excess electrical energy via resistive dump loads, preventing grid frequency deviations during sudden wind gusts.
Segmented airflow regulating systems reduce aerodynamic lift to maintain safe tower clearance while lowering pitching bearing loads.
Optical fibre transmits radiation to heat sensors, preventing ice accretion and reducing lightning strike risk.
Multiple parking positions segment access routes into independent passages, eliminating single-point failure risks when top openings become obstructed.
A trained convolutional neural network processes measurement data into visualizable images for wind turbine monitoring.
Oblique yaw angles on segmented rotors divert wakes laterally, reducing energy loss and enabling denser wind farm layouts.
A wind turbine health management system calculates physics-based and empirical maintenance factors to estimate operational lifetime.
A wind turbine ice detection method compares actual electrical output against expected values to identify rotor blade conditions without additional sensors.
Central switching unit engages multiple rotor locks from one location while a feedback unit generates a safe signal upon full engagement.
Adjustable connection bars reposition the guide structure along the suspension wire to tune damping characteristics for varying oscillation frequencies.