73results about "Comparison table algorithms" patented technology

Reduction in power output or rotor speed of a wind turbine above a defined limit value, the reduction not being implemented based on the measured wind speed, but on an input value which on one hand is easily detected physically and by control technology and on the other hand is a good indicator of mechanical stresses on the wind turbine. The invention uses the rotor-blade angle as the input value in a manner that starting at the limit value, the reduction in power output or in rotor speed is adjusted as a function of the rotor-blade angle.

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 method for a functional test of a wind turbine generator plant which comprises the following procedural steps: a control unit for the wind turbine generator plant reads in actual values from at least one structural part of the wind turbine generator plant and generates control signals for actuators of the wind turbine generator plant, a simulation unit has at least one input and at least one output as well as one or more mathematical models which depict the behaviour of one or more structural parts of the wind turbine generator plant, the control signals are applied to the input of the simulation unit and the modeled actual values of the models on the structural parts are applied to the output of the simulation unit, wherein the actual values of the simulation unit are applied to the input of the control unit and the control signals of the control unit are applied to the input of the simulation unit; the simulation unit models the actual values of the structural parts resulting for the control signals applied, for certain initial conditions.

Methods of controlling a variable speed wind turbine generator connected to a power grid. The method may include measuring the frequency, f, of the power grid, controlling the speed of the generator for optimizing the power delivered to the power grid, and setting limits for the generator speed. The setting of the limits for the generator speed is performed in dependency of the measured frequency of the power grid. This provides a dynamical set of limits providing improved possibilities of optimizing the power production.

The present invention relates to a method of controlling the aerodynamic load of a wind turbine blade by controlling the tip speed ratio (TSR) and/or blade pitch setting of the wind turbine blade so as to optimize power production. A wind turbine blade undergoes an aero-elastic response including deflection and twist that is a function of the blade loading. The blade loading is dependent on the wind speed, TSR, and pitch setting. The aero-elastic response requires a different TSR and/or pitch to be selected throughout the power curve in order to maintain the optimum power production and to improve energy capture.

It is presented a method for controlling the instantaneous power output from a wind power plant. Wind speed and wind directions are determined, wherein an upper limit power output for the specific wind speed and wind direction is determined from a previously measured power output value at the same wind speed and wind direction, and wherein the power output of the wind power plant is controlled based on the determined upper limit power output. A wind power plant is also presented.

A wind power generation system includes a wind turbine at a wind turbine location, a measuring device for providing a wind condition signal at a test location, a sensor for providing a wind condition signal at the wind turbine, and a controller. The controller is configured for receiving the wind condition signals, using a wind correlation database and the wind condition signal at the test location for providing a wind condition estimation at the wind turbine location, obtaining a difference between the wind condition signal at the wind turbine location and the wind condition estimate at the wind turbine location, and using the difference for adjusting the wind condition signal at the wind turbine location.

A method for controlling power produced by a windfarm includes regulating active power produced by the windfarm in accordance with an apparent power setpoint, and regulating a power factor of the windfarm in accordance with a power factor setpoint. However, during periods in which the apparent power setpoint is approached or exceeded, the method includes reducing a magnitude of an angle of a power factor setpoint towards zero and regulating the power factor of the windfarm in accordance with the reduced power factor setpoint angle magnitude.

To identify abnormal behavior in a turbine blade, a failure detection system generates a “fingerprint” for each blade on a turbine. The fingerprint may be a grouping a dynamic, physical characteristics of the blade such as its mass, strain ratio, damping ratio, and the like. While the turbine is operating, the failure detection system receives updated sensor information that is used to determine the current characteristics of the blade. If the current characteristics deviate from the characteristics in the blade's fingerprint, the failure detection system may compare the characteristics of the blade that deviates from the fingerprint to characteristics of another blade on the turbine. If the current characteristics of the blade are different from the characteristics of the other blade, the failure detection system may change the operational mode of the turbine such as disconnecting the turbine from the utility grid or stopping the rotor.

Methods for calculating a maximum safe over-rated power demand for a wind turbine operating in non-standard conditions include the steps of determining a value indicative of a risk of exceeding an ultimate design load during operation in a standard operating condition, and establishing a maximum over-rated power demand corresponding to a maximum power that the turbine may produce under the non-standard operating condition without incurring an increased risk of exceeding the ultimate design load, with respect to operation in the standard condition. A method of over-rating a wind turbine, a wind turbine controller, a wind turbine and a wind power plant are also claimed.

A wind turbine having a hub (210) rotably attached to a nacelle (200), at least two blades (1, 2, 3) rotationally attach to the hub (210) to allow a change in blade pitch angle ( 1 , 2 3 ) a blade-pitch system (250) for individually controlling the blade-pitch angle ( 1 , 2 3 ) of each blade, a supervisory control unit for issuing a first pitching command, a rotor position sensor (238) generating a rotor-position signal () indicative of the rotor azimuthally position, a rotor-rotational-rate sensor (236) generating a rotor-rotational-rate signal ( CR ) indicative of the rotor rotational speed, and a tower (100) supporting the nacelle (200), comprising a nautical-pitch-rate sensor (230) generating a nautical-pitch-rate signal ( ) indicative of the nautical-pitch-rate of the wind turbine and a computational unit (240, 241) receiving turbine-state signals comprising the rotor-position signal (), the rotor-rotational-rate signal ( CR ), and the nautical-pitch-rate signal ( ).

In order to remove snow or ice from an exposed constructional element (1) by means of electric current in a heat emission equipment (3), the supply of power is controlled by way of a controller (13) operating based on physical parameter values as measured by sensors (4, 14, 15, 17, 18, 19) at the constructional element (1) and based on historical data relating to snow and ice conditions. The input data are the effective surface temperature of the constructional element (1) as well as the amount of snow/ice on the constructional element (1), air temperature, wind velocity, precipitation, velocity of the constructional element (1), and vibrations thereof. These input data are compared to stored historical data in the controller (13). The controller (13) then calculates, using stored algorithms, whether the supply of power is necessary, and in that case also the necessary amperage and frequency values, the frequency affecting a time constant of change in the surface temperature of the constructional element. The controller then provides a start or stop signal as well as an output control signal to power supply equipment (11), and the controller then updates its historical data with new data. Preferably, the invention is used on the blades of a wind turbine.

A rotor of a wind turbine may cast an intermittent shadow onto an object in the vicinity of the turbine. A shadow-control system stops the wind turbine, based on a shadow-related shut-down condition. The condition is based on a result of a comparison between a direct-light intensity and an indirect-light intensity being beyond a direct-to-indirect light threshold. A set of light sensors measures the direct- and indirect-light intensities. A sensor measures the direct light intensity when irradiated by the sun, and the indirect-light intensity when not irradiated by the sun. The set of light sensors to provide the measured direct- and indirect-light intensities for the comparison consists of two sensors, an eastward-oriented sensor and a westward-oriented sensor.

A method and apparatus for applying optimized yaw settings to wind turbines including receiving operating data from at least one wind turbine on a wind farm and sending the data to a supervisory control and data acquisition (SCADA) system on the at least one wind turbine to generate current SCADA data. The current SCADA data is sent a central processing center away from the wind farm. The central processing center includes an optimization system that can generate a new look up table (LUT) including at least one new wind turbine yaw setting calculated using information comprising wind direction, wind velocity, wind turbine location in the wind farm, information from a historic SCADA database, and yaw optimizing algorithms. The new LUT is then sent to a yaw setting selection engine (YSSE) where instructions regarding the use of the new LUT are generated.