346results about "Active/predictive/anticipative control" patented technology

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 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 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.

Disclosed are a model prediction control method and a model prediction control system for all working conditions of a wind generating set. The system comprises an MPC (model prediction control) device, a feedback information measurer, a wind wheel, a driving chain, a tower, a generating unit, a variable propeller driver and a converter. The feedback information measurer is used for detecting status variables of the wind wheel, the driving chain, the tower and the generating unit and transmitting detecting results to the MPC device, the MPC device is used for computing targets of the blade pitch angle and the generator torque, and the variable propeller driver and the converter are used for adjusting the blade pitch angle and the wind generator torque. The method is used for computing control increment by means of a variable propeller control prediction model and a torque control prediction model, takes the status variables including driving chain torsional displacement, driving chain torsional speed, blade plane external first-order flap displacement, blade plane external first-order flap speed, tower front-back first-order swing displacement, tower front-back first-order swing speed, mechanical loads of the unit and the like, and two prediction models can be automatically switched in different working conditions, so that the wind generating set can be operated in all working conditions.

Method of operating a wind power plant including the steps of: operating the wind power plant at an current parameter schedule (P_current(v)) performing a wind prediction of wind data (V_w) for a time frame (ΔT) extending to a future time T, determining a desired fatigue load level (F_desired) of a wind power plant component at the future time T, and during operation of said wind power plant generating an updated parameter schedule (P_desired(v)) to provide the desired fatigue load level (F_desired) at time T if exposed to the predicted wind conditions (V_w(t)) during said time frame (ΔT)

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. The invention also refers to a monitoring and processing equipment (SMP) for wind turbines.

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 for operating a wind energy installation, in particular for adapting a wind energy installation (10) to given wind conditions, the wind energy installation (10) having a rotor (16), which can be driven by wind, with at least two rotor blades (20), whose respective angles of incidence of the wind can be adjusted by means of at least one adjustment device, and having a generator for converting the mechanical energy of the rotor (16) to electrical energy. During operation of the wind energy installation, parameters are measured with spatial and/or temporal resolution on the side of the wind energy installation (10) facing the wind, said parameters describing the wind conditions in the measurement region, preferably the wind speed and/or the wind direction. The wind parameters are measured at various vertical distances from the ground, namely various heights, and at horizontal distances from the rotor (16), which are selected such that the angles of incidence of the wind on the individual rotor blades (20) can be adapted in response to the measured wind parameters before the wind on which the wind parameters are based, in particular a wind front or a gust of wind, reaches the rotor (16). Values are predicted or calculated, in particular continuously or periodically, from the measured wind parameters—prognosis values—which describe wind conditions occurring in the future at the rotor blades for various heights. The angles of incidence of the wind on the individual rotor blades (20) are adjusted individually and independently of one another, preferably a plurality of times during a complete revolution of a rotor blade, depending on these predicted or calculated prognosis values at the various heights.

The invention relates to a method of coordinating and stabilizing the delivery of wind generated power, such as to a power grid, or a facility having pneumatically driven equipment, so as to avoid sudden surges and spikes, despite wind speed fluctuations and oscillations. The method preferably uses a plurality of windmill stations, wherein energy can be used directly, and/or 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 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.

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 (020a, 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 system includes at least one processor and at least one module operable by the at least one processor to receive at least one sensor measurement. The at least one sensor measurement may include at least one of a wind speed measurement, or a wind direction measurement. The at least one module may be further operable to determine, using a stochastic filter, and based on the at least one sensor measurement, at least one predicted attribute of a wake generated by a wind turbine, the wind turbine being one of a plurality of wind turbines of a wind plant. The at least one module may be further operable to modify, based on the at least one predicted attribute of the wake, at least one wind turbine control variable for at least one wind turbine of the plurality of wind turbines and output the at least one wind turbine control variable

The invention provides a halting method and system for a fan in an extreme state, and relates to the field of fan control. The method provided by the invention comprises the steps that a paddle collecton speed changing manner is adopted, before gust halt, firstly, a pitch angle of a wind wheel is adjusted at a high paddle collecton speed, so as to avoid the problem that the wind wheel overspeeds; and then, the pitch angle of the wind wheel is adjusted at a low paddle collecton speed, so as to avoid the problem that the overall mechanical load of the fan is too large. Through the adoption of the control method, the fan can avoid the situation that the fan overspeeds and flies and the situation that the fan structure breaks due to the fact that the mechanical load of the fan is too large at the same time, and the safety of the fan during the gust halt process is improved.

Predicting the remaining life of individual aircraft, fleets of aircraft, aircraft components and subpopulations of these components. This is accomplished through the use of precomputed databases of response that are generated from a model for the nonlinear system behavior prior to the time that decisions need to be made concerning the disposition of the system. The database is calibrated with a few data points, to account for unmodeled system variables, and then used with an input variable to predict future system behavior. These methods also permit identification of the root causes for observed system behavior. The use of the response databases also permits rapid estimations of uncertainty estimates for the system behavior, such as remaining life estimates, particularly, when subsets of an input variable distribution are passed through the database and scaled appropriately to construct the output distribution. A specific example is the prediction of remaining life for an aircraft component where the model calculates damage evolution, input variables are a crack size and the number of cycles, and the predicted parameters are the actual stress on the component and the remaining life.

A control system and method are provided for the automatic startup and shutdown of a steam turbine driven chiller unit. The chiller unit includes an integrated central control panel to control operation of both the steam turbine system and the refrigerant system. The central control panel has a startup control system to automatically start the steam turbine driven chiller unit while performing necessary protective actions and a shutdown control system to automatically stop the steam turbine driven chiller unit while performing necessary protective actions.

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.