An inspection device control device for an inspection device of a wind turbine having a device interface arranged for communication with a wind turbine control of the wind turbine, and a device interface arranged for communication with the inspection device. Automated resource planning is possible if a processor produces control information for the inspection device depending on turbine parameters of the wind turbine received via the device interface and outputs the control information via the device interface. Further improved resource planning and control is made possible if a processor generates control information for the wind turbine and outputs the control information via the turbine interface, depending on the device parameters of the inspection device received via the device interface.

An inspection device control device for an inspection device of a wind turbine having a device interface arranged for communication with a wind turbine control of the wind turbine, and a device interface arranged for communication with the inspection device. Automated resource planning is possible if a processor produces control information for the inspection device depending on turbine parameters of the wind turbine received via the device interface and outputs the control information via the device interface. Further improved resource planning and control is made possible if a processor generates control information for the wind turbine and outputs the control information via the turbine interface, depending on the device parameters of the inspection device received via the device interface.

Aspects of the present invention relate to a computer-implemented method for predicting energy production losses associated with high wind hysteresis control of a wind turbine generator. The method comprises: determining a distribution of wind speeds; determining a high wind hysteresis band that comprises wind speed values between an upper threshold and a lower threshold; and predicting energy production loss due to the high wind hysteresis control. The prediction includes: determining a high wind factor corresponding to a probability that the wind speeds in the hysteresis band occur when the generator is shut off by the high wind hysteresis control, determining, based on the distribution and power data, an energy value associated with the wind speeds falling within the hysteresis band over a predetermined time period; and determining the energy production loss by applying the high wind factor to the determined energy value.

Aspects of the present invention relate to a computer-implemented method for predicting energy production losses associated with high wind hysteresis control of a wind turbine generator. The method comprises: determining a distribution of wind speeds; determining a high wind hysteresis band that comprises wind speed values between an upper threshold and a lower threshold; and predicting energy production loss due to the high wind hysteresis control. The prediction includes: determining a high wind factor corresponding to a probability that the wind speeds in the hysteresis band occur when the generator is shut off by the high wind hysteresis control, determining, based on the distribution and power data, an energy value associated with the wind speeds falling within the hysteresis band over a predetermined time period; and determining the energy production loss by applying the high wind factor to the determined energy value.

The system and method of the present disclosure is configured to monitor changes associated with an air gap by: (1) receiving one or more sensor signals from one or more sensors that are indicative of changes associated with the air gap; and (2) comparing the changes associated with the air gap to certain thresholds to determine if the air gap is in need of attention. The system includes at least one proximity sensor arranged adjacent to the air gap, to monitor the air gap, and a controller. The controller is configured to receive the sensor signal(s) indicative of the changes associated with the air gap. The controller also is configured to compare the changes associated with the air gap to one or more air gap thresholds, and to implement a control action based on this comparison.

The system and method of the present disclosure is configured to monitor changes associated with an air gap by: (1) receiving one or more sensor signals from one or more sensors that are indicative of changes associated with the air gap; and (2) comparing the changes associated with the air gap to certain thresholds to determine if the air gap is in need of attention. The system includes at least one proximity sensor arranged adjacent to the air gap, to monitor the air gap, and a controller. The controller is configured to receive the sensor signal(s) indicative of the changes associated with the air gap. The controller also is configured to compare the changes associated with the air gap to one or more air gap thresholds, and to implement a control action based on this comparison.

A self-inspection method for a hydraulic control turning system of a generator rotor includes: establishing a length dimension relationship table among a plurality of hydraulic cylinders of the hydraulic control turning system; selecting a reference hydraulic cylinder, and acquiring a reference length dimension when the reference hydraulic cylinder is located at a target working position, the target working position is a position at which a turning pin corresponding to the reference hydraulic cylinder is inserted into an adapted hole; and performing a function inspection of a motion execution module in sequence by the plurality of the hydraulic cylinders, based on the reference length dimension and the length dimension relationship table.

A self-inspection method for a hydraulic control turning system of a generator rotor includes: establishing a length dimension relationship table among a plurality of hydraulic cylinders of the hydraulic control turning system; selecting a reference hydraulic cylinder, and acquiring a reference length dimension when the reference hydraulic cylinder is located at a target working position, the target working position is a position at which a turning pin corresponding to the reference hydraulic cylinder is inserted into an adapted hole; and performing a function inspection of a motion execution module in sequence by the plurality of the hydraulic cylinders, based on the reference length dimension and the length dimension relationship table.

An optimal dispatching method and system for a wind power generation and energy storage combined system are provided. Uncertainty of a wind turbine output is characterized based on spatio-temporal coupling of the wind turbine output and an interval uncertainty set. Compared with a traditional symmetric interval uncertainty set, the uncertainty set that considers spatio-temporal effects effectively excludes some extreme scenarios with a very small probability of occurrence and reduces conservativeness of a model. A two-stage robust optimal dispatching model for the wind power generation and energy storage combined system is constructed, and a linearization technology and a nested column-and-constraint generation (C&CG) strategy are used to efficiently solve the model.

An optimal dispatching method and system for a wind power generation and energy storage combined system are provided. Uncertainty of a wind turbine output is characterized based on spatio-temporal coupling of the wind turbine output and an interval uncertainty set. Compared with a traditional symmetric interval uncertainty set, the uncertainty set that considers spatio-temporal effects effectively excludes some extreme scenarios with a very small probability of occurrence and reduces conservativeness of a model. A two-stage robust optimal dispatching model for the wind power generation and energy storage combined system is constructed, and a linearization technology and a nested column-and-constraint generation (C&CG) strategy are used to efficiently solve the model.