Abstract:
A controller for controlling the operation of a power plant (10), the power plant (10) comprising a wind turbine (12) and a solar power generator (14), the controller (22) comprising: an input (36) arranged to receive an input signal (62) indicative of an operating parameter of the solar power generator (14); a shadow detection module (38) arranged to monitor the operating parameter and to detect a shadow (50) at least partially shading the solar power generator (14), the detected shadow being caused by a blade (30) of the wind turbine (12); a shadow prediction module (40) arranged to predict at least one subsequent blade shadow in dependence on the detected blade shadow; a command module (42) arranged to determine a command signal (70) for controlling the solar power generator (14) based on the blade shadow prediction; and an output (44) arranged to output the command signal (70) to the solar power generator (14).
Abstract:
A wind turbine including yaw control comprising a controller receiving an input signal, and providing an output control signal to a yaw actuator. The input signal to the controller is based on: a first feedback signal that is indicative of the relative wind direction determined with respect to the wind turbine, wherein the first feedback signal is filtered with a first low pass filter; and a second feedback signal that is indicative of the activity of the yaw actuator. The control technique of the invention significantly improves the ability of a yaw system to maintain a zero degree yaw error during steady state wind conditions, or in other words to maintain an accurate heading of the nacelle pointing into the wind, as well as reducing the maximum yaw error experienced during yaw system activation.
Abstract:
The present invention relates to control of wind turbines where a noise measure is taken into account. Control of a wind turbine is described where a control trajectory is calculated based on noise measure, the noise measure being determined from a predicted operational trajectory. In embodiments the predicted operational trajectories are calculated by using a model predictive control (MPC) routine.
Abstract:
The present invention relates tocontrol of wind turbines based on predicted operational trajectories. A control system for a wind turbineis described wherea main controller calculating one or more predicted operational trajectories and a safety controller validates at least one of the one or more predicted operational trajectories. The control system controls the wind turbine with the predicted control trajectory if the validation is valid, and controls the wind turbine with a safe-mode control trajectory if the validation is invalid. In an embodiment, the main controller is implemented as a receding horizon controller, e.g. in the form of a model predictive controller (MPC).
Abstract:
The invention relates to control of a wind turbine to address varying drivetrain loading. This is obtained by determining a modification signal to be set as a control signal. A signal indicative of a speed of the electrical generator a signal indicative of a requested output power are received. The signal indicative of a speed is filtering to isolate frequencies in a selected disturbance frequency band to generate a disturbance signal. The disturbance signal is phase shifted and combined with a requested output power to obtain the modification signal.
Abstract:
A method of controlling a wind power plant (12) including an energy storage device (44, 46), the wind power plant (12) being connected to a power grid (19) and comprising one or more wind turbine generators (1) that produce electrical power for delivery to the power grid (19), the method comprising: processing grid data related to the power grid (19) to determine a probability forecast for a future state of the grid (19); and controlling charging and discharging of the energy storage device (44, 46) in accordance with the probability forecast.
Abstract:
Wind turbine control based on optimizing and non-optimizing controller routines is disclosed. A first controller implements a model predictive control (MPC) routine for calculating a predicted first control value. A second controller implements a non-optimizing control routine for calculating a second control value. An actuator controller unit determines an actuator control signal by combining the predicted first control value and the second control value.
Abstract:
A method of controlling an energy system by using a main computing system (42) and one or more local computing systems (41) each for controlling an associated local state of the energy system, the method comprising: the main computing system (42) maintaining and optimising a predictive control model (43) for the energy system, wherein the main computing system 42 receives state information for the energy system, optimises the predictive control model (43), and generates control rules for control of the energy system; the one or more local computing systems (41), each having a local memory (412) for storing control rules for the associated local state, controlling the associated local state according to the control rules stored in its local memory (412); wherein the main computing system (42) receives local state information and updates control rules for storage in the or each local computing system (41), wherein the updated control rules for the or each local computing system (41) comprise a subset of the control rules generated by the main computing system (42) selected to be appropriate to the local state information received at the main computing system (42).
Abstract:
A method of controlling pitch of individual blades in a wind turbine is described, together with a suitable controller. Wind speed is determined as a function of azimuthal angle (412). Wind speed (421) is then predicted for individual blades over a prediction horizon using this determination of wind speed as a function of azimuthal angle. The predicted wind speed for each individual blade is used in a performance function, which is optimised to control individual blade pitches (431).
Abstract:
A wind turbine control unit comprising a control module configured to control an actuator system by outputting a first control signal, wherein the first control signal includes a current control sample value and a predicted control trajectory; the control unit further comprising an upsampling module configured to receive the first control signal from the control module, and to output a second control signal for controlling the actuator system, the second control signal having a higher frequency that the first control signal. The upsampling module calculates the second control signal in dependence on the current control sample value and the predicted control trajectory. The embodiments provide a more accurately reproduced control signal at a higher frequency that is suitable for onward processing which does not suffer from the problems of aliasing and delay that exist with conventional upsampling techniques. The dynamic response of the actuator system is improved such that it exhibits lower overshoot and is more optimally damped. Embodiments of the invention also relate to a wind turbine control system including such a control unit, a method for operating a control unit, and a computer program product adapted for implementing the method.