Abstract:
A method of estimating an amount of undesired loading experienced by at least a portion of a structure(100) is provided. The structure(100) may be, for example, a wind turbine generator (WTG) and the portion for which undesired loading is estimated may be, for example, a rotor (130) of the WTG. The method includes receiving a first signal characterizing instantaneous stress experienced by a component (140) of the structure(100) and filtering out at least a portion of the received first signal that corresponds to the desired loading experienced by the component to produce a first filtered signal. The amount of undesired loading experienced by the at least a portion of the structure(100) is estimated based at least partially on the first filtered signal.
Abstract:
The invention relates to a method of controlling a wind turbine having a rotor with pitchable wind turbine blades and a generator for producing power, where a control signal for a controllable parameter of the wind turbine is determined, and an operational parameter representing a loading on the wind turbine exerted by the wind is estimated at time intervals. From this is determined a variation parameter reflecting the variation of the operational parameter over time. The wind turbine is then controlled according to the control signal only if the variation parameter is below an alert threshold, and otherwise according to a modified control strategy.
Abstract:
The invention relates to turbulence sensor for wind turbine blades. The sensor is configured to promote turbulence of air flowing over the blade at a location of the sensor which comprises a detector configured to detect air turbulence. Since the sensor promotes turbulence compared to adjacent locations of a wind turbine blade the sensors can be used to predict that the blade is close to a stall conditions.
Abstract:
The rotor blades of a wind turbine each have a plurality of fibre-optic pressure variation sensors which can detect the onset of a stall condition. The output of the stall condition sensors is input to a stall count circuit which increases a stall count signal each time a stall indication is received. The stall count signal is decayed exponentially over time and the current signal is summed with the decayed signal from a previous sampling period to form a value from which a stall margin is determined. An λ:θ curve of tip speed to wind speed ratio λ against pitch angle reference θ is then determined from the stall margin.
Abstract:
The invention relates to a method of controlling a wind turbine comprising blades attached to a rotor hub for rotation in a rotor plane and a control system for individually pitching the blades relative to the hub. The method comprises the steps of dividing the rotor plane into a number of sectors, determining the individual sectors for each blade during the rotation by means of an azimuth angle sensor, and obtaining blade sensor data from a blade sensor on an individual blade relating to a sector,and comparing the obtained data with data relating to the same sector and representing blade sensor data on other blades. Hereby an event may be detected for individual sectors of the rotor plane. When an event is detected in a given sector,an individual pitch contribution t is determined in the sector, and the blades are then pitched according to this individual pitch contribution for that given sector at least partly during passage of the sector. The invention further relates to a wind turbine comprising a control system for individually pitching the blades relative to the hub according to the above mentioned control method. (FIGURE 1)
Abstract:
A method of estimating an amount of undesired loading experienced by at least a portion of a structure (100) is provided. The structure (100) may be, for example, a wind turbine generator (WTG) and the portion for which undesired loading is estimated may be, for example, a rotor (130) of the WTG. The method includes receiving a first signal characterizing instantaneous stress experienced by a component (140) of the structure (100) and filtering out at least a portion of the received first signal that corresponds to the desired loading experienced by the component to produce a first filtered signal. The amount of undesired loading experienced by the at least a portion of the structure (100) is estimated based at least partially on the first filtered signal.
Abstract:
The rotor blades of a wind turbine each have a plurality of fiber-optic pressure variation sensors which can detect the onset of a stall condition. The output of the stall condition sensors is input to a stall count circuit which increases a stall count signal each time a stall indication is received. The stall count signal is decayed exponentially over time and the current signal is summed with the decayed signal from a previous sampling period to form a value from which a stall margin is determined. An λ:θ curve of tip speed to wind speed ratio λ against pitch angle reference θ is then determined from the stall margin.
Abstract:
The rotor blades of a wind turbine each have a plurality of fiber-optic pressure variation sensors which can detect the onset of a stall condition. The output of the stall condition sensors is input to a stall count circuit which increases a stall count signal each time a stall indication is received. The stall count signal is decayed exponentially over time and the current signal is summed with the decayed signal from a previous sampling period to form a value from which a stall margin is determined. An λ:θ curve of tip speed to wind speed ratio λ against pitch angle reference θ is then determined from the stall margin.