38results about "Optimise machine performance" patented technology

A method for optimizing control of a wind turbine includes receiving, via a control system, a condition of the wind turbine. The method also includes estimating a current state of the wind turbine using the condition. The method further includes calculating, via a model implemented by the control system, a linearized representation of operation of the wind turbine for a future time interval after the current state. The method further includes defining an optimization problem to be solved. The method also includes determining a pitch adjustment factor for modifying a current state of the wind turbine. The method further includes calculating, via the optimization solver, an optimized pitch parameter of a rotor blade of the wind turbine. The method also includes adjusting a pitch parameter of the rotor blade to an optimized pitch parameter to improve the control.

Method for controlling a wind farm, each wind turbine having an operating point adjustable by an actuator: a) a determination by modeling of a region of space approximating the wake of each wind turbine for a misalignment angle (θ) and for a wind speed deficit threshold (δ), b) an identification, from the modeled wakes, of the wind turbines which are in the modeled wake of another wind turbine, then a storage of identification parameters linking each wind turbine to the wind turbine in the modeled wake of which it is, c) a taking into account of the identification parameters stored in step b) to group wind turbines into a plurality of sub-farms, d) a determination of at least one setpoint operating point, for the wind turbines of each sub-farm, by a method of optimizing the power generated by each sub-farm e) an application of said setpoint operating point to the wind turbines.

Disclosed is an apparatus that adapts the rate of its computational work to match the availability of energy harvested from a stochastic energy source; and, with respect to some types of energy harvesting, regulates the rate of energy capture, the rate of energy conversion, and the rate of consumption of stored potential energy, through its alteration, regulation, and / or adjustment, of that same computational work load.

Disclosed is an apparatus that adapts the rate of its computational work to match the availability of energy harvested from a stochastic energy source; and, with respect to some types of energy harvesting, regulates the rate of energy capture, the rate of energy conversion, and the rate of consumption of stored potential energy, through its alteration, regulation, and / or adjustment, of that same computational work load.

A marine energy system comprising: a torpedo housing; a wing housing coupled to and separated from the torpedo housing by a shaft; and an energy converter located within the torpedo housing, wherein the wing housing is configured to move through a fluid current to drive the energy converter. The energy converter may comprise a generator configured to produce electrical energy or a pump adapted to move fluid from a depth location to a shallow location. The wing housing may be configured to move in a figure-8 pattern through the fluid current at 4-8 times the speed of the fluid current. A propeller may be coupled to the wing housing and configured to drive the energy converter.

The application discloses a control method based on acceleration guarantee safety and a wind driven generator, and the method comprises the following steps: calculating current turbulence data corresponding to current acceleration data by using a turbulence prediction mapping function, determining that the current turbulence data is in a certain region of a weak turbulence region, a medium turbulence region and a strong turbulence region; and adopting different strategies. The method has no error in space, is more accurate in turbulence data calculation, reduces the steps of waiting for a weather station or a wind measurement tower test and transmitting turbulence data compared with the related art, and improves the efficiency of obtaining turbulence data. Meanwhile, the intensity of turbulence encountered by the wind driven generator is judged based on the turbulence data, and reasonable strategies are made according to the judgment result, so that the safety of the wind driven generator and the power grid downstream of the wind driven generator is guaranteed.

To provide a system and a method for optimizing control of a wind turbine.SOLUTION: The present disclosure relates to a method of optimizing control of a wind turbine comprising receiving, via a control system, a state of the wind turbine. The method also includes estimating a current condition of the wind turbine using the state. The method also includes computing, via a model implemented by the control system, a linearized representation of the operation of the wind turbine for a future time interval following the current condition. The method also includes defining an optimization problem to be solved. The method also includes determining a pitch adjustment factor for modifying a current state of the wind turbine. The method also includes calculating, via an optimization solver, an optimized pitch parameter of a rotor blade of the wind turbine. The method also includes adjusting a pitch parameter of the rotor blade to an optimized pitch parameter to improve control.SELECTED DRAWING: Figure 6

The aim of the invention is to provide a floatable wave energy converter (100) which has a high degree of efficiency and can also be simply and cost-effectively produced and installed. This is achieved by providing a floatable wave energy converter (100) for converting energy from a wave movement of a fluid into electric energy, comprising a rotor unit (10) having a rotor shaft (11) and rotor support surfaces (12) for generating a buoyancy force (71) which is induced by the wave movement and rotates the rotor unit (10), a generator (20) for generating electric energy, the generator (20) being coupled to the rotor shaft (11) of the rotor unit (10) in order to transmit a torque, and a receiving structure (30) for receiving the rotor unit (10) and the generator (20), the wave energy converter (100) having a control element (40), which comprises at least one movable guiding surface (41), for controlling the movement of the wave energy converter (100) in the sea.

A method of operating a wind turbine (100) is provided, wherein the wind turbine (100) is operable in plural different operating modes (41-46) that differ by at least one of lifetime consumption of the wind turbine and energy production by the wind turbine. A sequence (305; 741-745) of operating modes is determined for a future period of time (301), wherein an optimization parameter (op) is estimated based on an estimated external parameter (ep). A sequence (305) of operating modes is selected for which the optimization parameter meets an optimization target. The method further includes obtaining a current value (705) for the consumed lifetime of the wind turbine (100)and determining an actual operating mode for the wind turbine (100) for a current point in time (702) under consideration of a deviation (720) between the current value (705) of the consumed lifetime and a consumed lifetime expected for operation in the selected sequence (305) of operating modes. The wind turbine (100) is operated in the determined actual operating mode.

A control method and associated system provide for thermal management of cables within a structure of a wind turbine. An airflow is established through the structure, the airflow moving along and around the cables within the structure to remove heat generated in the cables via heat transfer from a core of the cables through a surrounding insulation layer of the cables. Ambient temperature and a volumetric flow rate of the airflow adjacent the cables is measure. Based on the flow rate and the ambient temperature, a threshold current capacity limit for the cables is determined and used as a control factor for increasing power production of the wind turbine within thermal limits of the cables.

A method for controlling a wind farm (i.e. A wind turbine farm), each wind turbine having an operating setpoint adjustable by an actuator, comprises: a) determining, by modeling, a spatial region approximately representing the wake of each wind turbine for a deviation angle () and a wind speed loss threshold (); b) identifying each wind turbine within another wind turbine modeled wake based on the modeled wake, followed by storing identification parameters linking each wind turbine with its wind turbine within the modeled wake; c) clustering the wind turbines into a plurality of sub-farms taking into account the identification parameters stored in step b), d) determining at least one operating setpoint for the wind turbines of each sub-farms by means of a method for optimizing the generation power of each sub-farms, e) applying said operating setpoint to each wind turbine.

The present disclosure is directed to a method for optimizing control of a wind turbine that includes receiving, via a control system, a condition of the wind turbine. The method also includes estimating a current state of the wind turbine using the condition. The method also includes calculating, via a model implemented by the control system, a linearized representation of an operation of the wind turbine for a future time interval following the current state. The method also includes defining an optimization problem to be solved. The method also includes determining a pitch adjustment factor for modifying the current state of the wind turbine. The method also includes calculating, via the optimization solver, an optimized pitch parameter for a rotor blade of the wind turbine. The method also includes adjusting a pitch parameter of the rotor blade to the optimized pitch parameter to improve control.

The invention relates to a Vortex Micro Hydropower Plant (HPP) designed to address irregularities in water supply to turbines, enabling efficient electricity generation from small rivers. The vortex micro HPP comprises a vertical pressure cell with upper conical and lower cylindrical parts, an inlet channel peripherally connected to the upper edge of the pressure cell, and an outlet tube channel connected to the cylindrical part of the pressure cell, a hydro turbine placed in the cylindrical part of the pressure cell, while in the conical part of the pressure cell, the wings are located at equal intervals along the wall, which are rigidly attached to radial joints placed in the wall of the pressure cell, to which the telescopic levers with loads are rigidly connected from the outside of the cell.

A control method (100) for controlling a wind farm comprising a plurality of wind turbines, based on a plurality of estimated wind velocities and a plurality of estimated wind directions of the wind on the wind farm. The method comprises determining (120), for each wind turbine, a respective rotation command by solving an optimization problem. The optimization problem aims at maximizing an objective function, comprising a first component and a second component. The first component is representative of power generated by the wind farm for said set of successive time instants. The second component is representative of the fatigue of each wind turbine of the wind farm, surrogated over the set of successive time instants. Said second component depends on the fatigue induced by mechanical moments of wind forces on each wind turbine, at each time instant.

A control method (100) for controlling a wind farm comprising a plurality of wind turbines, based on an estimated wind velocity and an estimated wind direction of the wind on the wind farm. The method comprises receiving a wind direction and a wind velocity. The method further comprises determining (120) a group of yaw angles sets and evaluating (130), for each yaw angle set, a power generated by the wind farm. The method further comprises generating (150) new yaw angle sets and modifying (160) the value of each yaw angle according to a probability law. The method further comprises adjusting (170). The method further comprises selecting (190), among the adjusted yaw angle sets, the set for which the power generated is the highest, the yaw angles of such selection set being the desired yaw angles, and sending (200), to each wind turbine, the respective desired yaw angle.

A dual wind turbine system is provided. The dual wind turbine system includes two individually rotating turbines mounted vertically on top of each other, each connected to an independent directional scoop for enhanced wind capture. The stacked first and second rotors rotate in opposite directions, maximizing power generation efficiency. The system includes a stabilizer positioned at the top, which aligns the directional scoops and rotors into the wind. The rotors are supported by a central shaft, with the stabilizer and directional scoops pivotally connected at a same point, allowing continuous alignment with wind direction. The first and second rotors are coaxially aligned, wherein the first directional scoop channels wind into the first rotor from one direction and the second directional scoop channels wind into the second rotor from an opposite direction.

The present invention relates to a system and method for controlling a wind turbine. A system and method for controlling wind turbines of a wind farm is provided. Accordingly, a controller determines a performance difference for a wind turbine at a plurality of sampling intervals of a yaw event. The controller determines a trend line for the wind turbine relating the performance difference to a deviation of a wind direction at each of the plurality of sampling intervals from a first yaw angle. A difference between an angle associated with an apex of the trend line and the first yaw angle is utilized by the controller to determine a yaw angle offset. The yaw angle offset is used to adjust a second yaw angle of the wind turbine.

The invention relates to a wave energy generation system for producing electrical energy from the kinetic wave energy of a fluid, comprising a frame through which the fluid flows, with a wave inlet and a wave outlet, and at least a first energy absorption device and a second energy absorption device, which are arranged in a region between the wave inlet and the wave outlet and generate electrical energy when accelerated, wherein the first energy absorption device is connected to the second energy absorption device by means of a first connecting element and / or the first energy absorption device is connected to the frame of the wave energy generation system by means of a second connecting element and / or the second energy absorption device is connected to the frame of the wave energy generation system by means of a third connecting element, such that by means of the first connecting element,of the second connecting element and / or the third connecting element, a predefined range of movement of the second energy absorption device relative to the first energy absorption device and / or of the second energy absorption device and / or of the first energy absorption device relative to the frame is realized.

To provide wind turbine control that maintains efficiency while consuming little to no computing power. [Solution] Each wind turbine has an operating point adjustable by an actuator, a) model a spatial region approximating the wake of each wind turbine with respect to a range of misalignment angles and a predetermined threshold for insufficient wind speed, b) identify wind turbines in the modeled wake of another wind turbine based on the modeled wake, and store identification parameters that associate each wind turbine with the wind turbines in the modeled wake where it is located, c) consider the identification parameters stored in step b) in order to cluster the wind turbines into a plurality of subfarms, d) optimize the power generated by each subfarm by setting at least one operating setpoint for the wind turbines in each subfarm, and e) apply the operating setpoint to the wind turbine.

A hydrokinetic turbine system with dynamic tuning capabilities is disclosed. Individual hydrokinetic turbine units are dynamically tuned to accommodate changes in height and flow velocity corresponding to water in a waterway. Dynamically tuning the turbine units to accommodate waterway changes optimizes power generation output. Dynamically tuning a turbine system includes raising or lowering turbine blade height, extending or retracting turbine blade length, and narrowing or widening a turbine mouth, channel, and exit through which water flows. The hydrokinetic turbines may be arranged in an array along a waterway, and each hydrokinetic turbine in the array is connected over a controls system configured to adjust turbine characteristics at each turbine unit in the array for optimizing power generation output for the waterway in which the turbine array is installed.

Method for controlling a wind farm, each wind turbine having an operating point adjustable by an actuator: a) a determination by modeling of a region of space approximating the wake of each wind turbine for a misalignment angle (θ) and for a wind speed deficit threshold (δ), b) an identification, from the modeled wakes, of the wind turbines which are in the modeled wake of another wind turbine, then a storage of identification parameters linking each wind turbine to the wind turbine in the modeled wake of which it is, c) a taking into account of the identification parameters stored in step b) to group wind turbines into a plurality of sub-farms, d) a determination of at least one setpoint operating point, for the wind turbines of each sub-farm, by a method of optimizing the power generated by each sub-farm e) an application of said setpoint operating point to the wind turbines.Figure 8 to be published.

The invention relates to a method for controlling an energy production system (1), comprising: —a connecting link (6) provided with a connection (62) to an AC network (2); —a turbine system (3) comprising an electric machine (31) for delivering a nominal electrical power Pnom; —an energy storage system (14), comprising the following steps; —receipt of a first electrical power setpoint Ps0 and control of the turbine system (3) so as to deliver an electrical power Pt0=Ps0; and—receipt of an electrical power setpoint Ps1, where ΔPs=Ps1−Ps0 and |ΔPs|>Pnom*0.3; a) application of a hydraulic setpoint to the turbine system (3) so as to increase the delivered electrical power Pti thereof and prevent the storage system (14) from delivering electrical power (62); b) determination of the power Pea that the storage system (14) is able to supply; c) when Pti+Pea≥Ps1−ε1, the storage system (14) delivers an electrical power Pe1 to satisfy the requirement Ps1−ε1≤Pe1+Pti≤Ps1+ε2.

The present disclosure provides a method and an apparatus for controlling power of a wind farm. The method includes: acquiring a historical equivalent fatigue load of a target component of each of a plurality of wind turbines; acquiring an entire fatigue load, an equivalent fatigue load of the target component and a pay per unit power generation of each of the plurality of wind turbines at a current moment; determining an optimal power value for at least one of the wind turbines according to the historical equivalent fatigue load, as well as the entire fatigue load, the equivalent fatigue load, and the pay per unit power generation; and adjusting a power value of the at least one of the wind turbines to the optimal power value for the wind turbine.

A method for operating a cluster (1) of a plurality of wind turbines (2) is disclosed. For each of the wind turbines (2), one or more parameter values of a parameter being indicative for a condition occurring at the wind turbine (2) are derived, based the measurements obtained by the wind turbine (2). In the case that a derived parameter value for a specific wind turbine (2) exceeds a trigger value, measures for mitigating an effect of the condition at the specific wind turbine (2) are initiated. The derived parameter values for the wind turbines (2) of the cluster (1) of wind turbines (2) are compared to an expected distribution (9) of the parameter values. In the case that a distribution of the derived parameter values differs from the expected distribution (9) of the parameter values, the trigger value is adjusted, and the adjusted trigger value is subsequently applied when comparing the derived parameter values to the trigger value.

A system for optimizing performance of a wind turbine during noise reduced operation includes a supervisory controller and a converter controller. The converter controller is configured to perform a plurality of operations including operating the wind turbine at a first optimization mode or a second optimization mode. The first optimization mode includes actively adjusting a power output of the wind turbine based on grid parameter (s) so as to maximize energy production of the wind turbine without accelerating consumption of life of component (s) thereof. The second optimization mode includes operating the wind turbine at a maximum power output rating while tracking remaining life of the component (s) based on a plurality of parameters. When the remaining life of the component (s) exceeds a predetermined threshold, the converter controller generates a notification to indicate that a maintenance action is needed.

A method for determining a wind sector distribution comprising a plurality of wind sectors WS_n, with n = 1, ..., N, for the operation of a wind turbine (100) a wind turbine (100) and a control system (200) are specified, the method comprising the steps (S1, S2) of providing wind condition information (I_wc) representative of average wind conditions at the location of the wind turbine (100), and performing an optimization routine (OR) for maximizing an estimated annual energy production AEP of the wind turbine (100) based on the wind condition information (I_wc) and the plurality of wind sectors WS_n, wherein the optimization routine (OR) comprises determining the plurality of wind sectors WS_n, wherein for each wind sector WS_n an effective turbulence intensity I_eff_n, based on the wind condition information and an admissible turbulence intensity I_design_n, is determined, wherein each of the admissible turbulence intensities I_design_n corresponds to a specific power mode and is based on a plurality of design parameters of the wind turbine (100), a turbulence intensity ratio TIR_n = I_eff_n / I_design_n is determined for each of the wind sectors WS_n, and the optimization routine is performed with the constraint that a weighted combination of the turbulence intensity ratio TIR_n of all wind sectors WS_n is equal to or less than 1.

A method (100) for protecting a wind turbine (10) from an extreme change in wind direction includes receiving a wind direction and / or a wind speed at the wind turbine (10). When a change in the wind direction or the wind speed exceeds a predetermined threshold, the method (100) includes determining a margin to stall and / or zero lift of the at least one rotor blade (22) of the wind turbine (10) as a function of an angle of attack or change in the angle of attack at a blade span location of at least one rotor blade (22) of the wind turbine (10). The method (100) also includes implementing a corrective action for the wind turbine (10) (without shutting down the wind turbine (10)) when the margin to stall and / or zero lift exceeds a predetermined value so as to avoid stall and / or negative lift on the at least one rotor blade during operation of the wind turbine (10).

This invention relates to odometer-based control of wind turbine power systems. A method for controlling a wind turbine connected to a power grid includes receiving a state estimate of the wind turbine via a controller. The method further includes determining, via the controller, at least using the state estimate, current conditions of the wind turbine, the current conditions defining a set of condition parameters of the wind turbine. Furthermore, the method includes receiving a control function from a supervisory controller via the controller, the control function defining the relationship between the set of condition parameters and at least one operating parameter of the wind turbine. Additionally, the method includes dynamically controlling the wind turbine based on the current conditions and the control function for multiple dynamic control intervals via the controller.

The invention relates to a method for operating at least one wind turbine (100), comprising the steps: receiving a first signal (32), which is indicative of the level of compensation for electrical energy fed, currently or in the future, into a grid (120) to which the wind turbine (100) is connected; producing a control signal (40) dependent on the first signal (32); and controlling the wind turbine (100) by means of the control signal (40) in order to produce power of the wind turbine (100), said power being dependent on the control signal (40). The invention further relates to a wind turbine (100) and to a central controller (26) for carrying out a method of this type, and to a system comprising a central controller (26) and a plurality of wind turbines (100).

The present invention relates to a method for converting mechanical energy from oscillations into electrical energy, the method comprising adjusting a displacement of a mass (1) mechanically coupled to an electrical machine (3), the coupling being such that the electrical machine (3) generates the electrical energy from the displacement of the mass (1) in the oscillations, the displacement being with respect to an oscillating body; the displacement being adjusted by means of an adjustment of a force applied by the electrical machine (3) to the mass (1); and the applied force being adjusted by means of a controller configured so that a control objective is to achieve that an instantaneous velocity of the displacement of the mass (1) is positively accelerated by a gravitational force (Fg) applied to the mass (1) at certain instants of the oscillations.