357results about "Active/predictive/anticipative control" patented technology

A wind turbine generator, an active damping method thereof, and a windmill tower in which vibrations of the wind turbine generator itself or the windmill tower can be reduced at low cost are provided. The acceleration due to vibrations of a nacelle (13) is detected with an accelerometer (17) attached to the nacelle (13). In an active damping unit (20), a pitch angle of windmill blades (12) for generating a thrust on the windmill blades (12) so as to cancel out the vibrations of the nacelle (13) is calculated on the basis of the acceleration, and the pitch angle is output as a blade-pitch-angle command δθ* for damping. On the other hand, in a pitch-angle control unit (30), a pitch angle of the windmill blades (12) for controlling the output to be a predetermined value is calculated, and the pitch angle is output as a blade-pitch-angle command θ* for output control. The blade-pitch-angle command δθ* for damping is combined with the blade-pitch-angle command θ* for output control using a subtracter (40). The pitch angle of the windmill blades is controlled on the basis of the resulting blade-pitch-angle command after combining.

The invention relates to a method of coordinating and stabilizing the delivery of wind generated power, such as to a power grid, so as to avoid sudden surges and spikes, despite wind speed fluctuations and oscillations. The method preferably uses a plurality of windmill stations, including a number of immediate use stations, energy storage stations, and hybrid stations, wherein energy can be used directly by the power grid, and stored for later use when demand is high or wind availability is low. The method contemplates forming an energy delivery schedule, to coordinate the use of direct energy and energy from storage, based on daily wind speed forecasts, which help to predict the resulting wind power availability levels for the upcoming day. The schedule preferably sets a reduced number of constant power output periods during the day, during which time energy delivery levels remain substantially constant, despite fluctuations and oscillations in wind speed and wind power availability levels.

A power control interface between an unstable power source such as a wind farm and a power transmission line employs an electrical energy storage, control system, and electronic compensation module which act together like an “electronic shock absorber” for storing excess power during periods of increased power generation and releasing stored energy during periods of decreased power generation due to wind fluctuations. The control system is provided with a “look ahead” capability for predicting power output (wind speed conditions) and maintaining energy storage or release over a “narrow-band” range despite short duration fluctuations. The control system uses data derived from monitoring the wind farm power output and the power transmission line, and employs system-modeling algorithms to predict narrow-band wind speed conditions. The power control interface can also use its energy storage capacity to provide voltage support at the point of injection into the power transmission system, as well as fault clearance capability for “riding out” transient fault conditions occurring on the power transmission line.

A method an apparatus of automatically controlling a wind turbine re provided. of: A time-series of measurement values of the aerodynamic flow property of the wind turbine rotor blade is determined; a predictive wind field model representing a structure of a wind field acting on the wind turbine rotor blade is generated based on the time-series of measurement values, and a control value is generated based on the wind-field model.

A method for controlling a ramp rate of a wind farm is described. The method includes predicting an initial predicted power to be output by a wind farm including a wind turbine.

A method for controlling operation of a wind turbine is described. The wind turbine includes a rotor having a plurality of rotor blades and an upwind wind condition measurement device. The method includes measuring a wind condition upwind from the rotor using the upwind wind condition measurement device and providing the measured wind condition to a processor. The method also includes determining a control algorithm parameter, based at least partially on the measured wind condition, that controls at least one of a wind turbine response bandwidth, a wind turbine response speed, and a wind turbine control error range. The method also includes determining a wind turbine operating command based at least partially on the control algorithm parameter and applying the wind turbine operating command to operation of the wind turbine.

A system and method provide a proactive mechanism to control pitching of the blades of a wind turbine to compensate for rotor imbalance during normal operation by pitching the blades individually or asymmetrically, based on turbulent wind gust measurements in front of the rotor, determined before it reaches the rotor blades.

A method for operating a wind energy system is provided comprising the steps of setting the value of an operational parameter of the wind energy system, measuring a yield parameter of the wind energy system and measuring a condition parameter. Further, the method comprises the step of calculating an optimized value of the operational parameter based on historical data and the outcome of the measurements. The method further comprises the step of resetting the operational parameter to the optimized value of the operational parameter wherein the resetting is such that the yield parameter is optimized. Further, a wind energy system is provided having a sensor unit for measuring a yield parameter of the wind energy system, a sensor for measuring a condition parameter, an actuator for adjustment of at least one adjustable part of the wind energy system, and a self-learning controller. The self-learning controller is connected to the sensor unit and the actuator and receives measurement data from the sensor unit. The self-learning controller performs optimization calculations based on the measurement data and sends instruction signals to the actuator based on the outcome of the optimization calculations for the adjustment of the adjustable part of the wind energy system. The instruction signals are such that the yield parameter is optimized.

A predictive maintenance system for wind parks, the wind park comprising a group of wind turbines (Ai), a communications network (RS), and a supervision and control system (ST). The predictive maintenance system comprises a monitoring and processing equipment (SMP) connected to the control system (PLC) of the wind turbine (Ai), such that the monitoring and processing equipment sends alarms through the control system of the wind turbine to the supervision and control system. A monitoring and processing equipment (SMP) for wind turbines is also disclosed.

Provided is a power generator, including a plurality of wind power generators generating electrical power using wind power energy, and variable-speed wind power generators (20a, 20b) connected between the power generator and an electrical power system. The variable-speed wind power generators (20a, 20b) equalize an output of the entire power generating system by outputting power for correcting for a drop in output of the power generator.

A method for reducing at least one of loads, deflections of rotor blades, or peak rotational speed of a wind turbine includes storing recent historical pitch related data, wind related data, or both. The stored recent historical data is analyzed to determine at least one of whether rapid pitching is occurring or whether wind speed decreases are occurring. A minimum pitch, a pitch rate limit, or both are imposed on pitch angle controls of the rotor blades conditioned upon results of the analysis.