Active platform orientation control aligns the rotor axis horizontally to maximize power capture while reducing structural loads on the blades.
Fixed-blade impulse design maintains high efficiency across varying flow rates without complex adjustable mechanisms.
Dielectric electrode plasma flow boosts efficiency while a discharge gap protects devices from lightning strikes.
A wind turbine control system adjusts yaw and pitch angles using real-time directional data from neighboring turbines to optimize power generation.
A deformable rotor blade adjusts its geometry under fluid thrust to optimize torque generation.
Non-linear compensation unit inverts IPM generator power equation to resolve contradiction between high power density and control linearity.
Hub-mounted gyroscope calculates rotor blade angle relative to gravity, compensating for drift with accelerometers to reduce mechanical load from turbulence.
An energy storage system buffers power fluctuations to maintain constant generator torque, reducing drivetrain wear and grid instability.
Merging vanes with the casing eliminates complex interfaces and seal paths, resolving outer endwall displacement control issues.
A wind farm control system groups turbines by degradation level to manage active power output.
A wind turbine control method detects high thrust events via blade load sensors to pitch blades out of the wind.
A wind turbine control system adjusts maximum power setpoints using real-time component temperature measurements.
A vertical axis wind turbine uses a control mechanism with resilient and damping elements to adjust blade pitch angles dynamically.
A wind power generation apparatus uses swing arms and a metal ring to generate eddy currents that limit rotating acceleration.
Segmented airfoils rotate independently on cables to optimize energy capture while reducing drag from guide wires.
Segmented stator laminates increase surface area to dissipate heat without adding weight from an outer shell.
Real-time pitch adjustment filters high-frequency wind loads, reducing component fatigue while maintaining energy output.
Multi-staged impacting blades capture wind energy through a vertical shaft and exhaust duct to resolve low utilization ratios in traditional designs.
A power plant control system measures medium voltage characteristics to calculate high voltage parameters via a transformer model for grid compliance.
Distributed force adjustment screws reduce torque requirements for yaw piston servicing while extending pad life.
Local controllers adjust reactive current using terminal voltage feedback to stabilize grid voltage and mitigate flicker during loading variations.
Deformable trailing edge sections use dual actuators to adjust aerodynamic geometry.
Centrifugal force drives a sliding mass to twist blade ribs via connecting rods, eliminating actuation power penalties.
Park controller calculates average power increases over time intervals to determine new setpoints using a gradient factor.
Replacing expensive hydraulic units with a manual pump and tank chamber reduces component complexity while maintaining reliable brake operation.
Tower bending moment sensors at different heights determine rotor thrust force to control wake turbulence and optimize wind farm spacing.
Segmented emergency hydraulic pump with dedicated energy storage maintains blade feathering during grid failures without heavy batteries.
A wind turbine watchdog module switches between remote and autonomous control modes based on local sensor data.
A wind turbine control system disables damaged drives to maintain rotor position using remaining actuators.
Forecasting wind speeds via probability density functions allows anticipatory adjustment of rotor speed and blade pitch angles.
Movable wind energy modules on a guide belt dynamically adjust receiver area and angles to maintain high efficiency across varying wind speeds.
LIDAR systems predict incoming wind gusts, allowing the control system to pre-position flaps and adjust pitch angles before loads peak.
Stepwise pitch adjustments in sub-nominal zones vary gear tooth engagement to reduce fretting corrosion and extend component lifespan.
A wind turbine control system adjusts blade pitch and yaw angles to manage operational loads during high wind speeds.
Pitch and yaw adjustments mitigate icing hazards without adding structural complexity, preserving power generation efficiency.
A differential gear brake adjusts transmission ratios to extend rotor speed ranges in wind turbines.
A toroidal hydraulic actuator drives wind turbine blade rotation directly within the bearing, eliminating unwanted torques from linear-to-rotary conversion.
Representative data selection parts extract maximum and minimum values from control cycles, reducing communication load while maintaining monitoring accuracy.
Adjusting wind turbine azimuth positions to redirect airflow and reduce wake turbulence between closely spaced units.
A wind turbine control system adjusts individual rotor blade angles to minimize mechanical loads during storm conditions.
Wind power plants adjust reactive power output based on wind velocity to counteract active power fluctuations during storms and prevent voltage drops.
A hybrid control process coordinates wind farm active power output through local unit calculations and central parameter updates.
Wind farms detect network failures and autonomously generate frequency to reactivate the grid without large synchronous generators.
Tapered air funnel accelerates wind through rotor fins, boosting power while reducing bird collisions.
LIDAR-based rotor section pitch control adjusts blade angles to mitigate extreme loads and extend component lifespan.
Blade sensors measure flap and edge moments to detect wind gusts, resolving unreliable detection from localized wind speed measurements.
An adjustable vertical mount uses movable rods to reposition a tower-mounted device without altering the supporting structure.
A wind turbine management module analyzes operational data to automatically reset soft faults without human intervention.
A wind turbine monitoring system compares individual sensor data against aggregated peer performance profiles to identify operational deviations.