The present invention discloses a hoisting container pose control method of a double-rope winding type ultra-deep vertical shaft hoisting system. The method comprises the following steps of step 1, building a mathematical model of a double-rope winding type ultra-deep vertical shaft hoisting subsystem; step 2, building a position closed-loop mathematical model of an electrohydraulic servo subsystem; step 3, outputting a flatness characteristics of a nonlinear system; step 4, designing a pose leveling flatness controller of a double-rope winding type ultra-deep vertical shaft hoisting subsystem; and step 5, designing a position closed-loop flatness controller of the electrohydraulic servo subsystem. The present invention has the advantages that a system state variable derivation process is omitted, so that a design process of the controllers is greatly simplified. The response time of the controllers can be shortened, and a hoisting container can fast reach a leveling state. In an application process of the system, sensor measurement noise and system non-modeling characteristics can be amplified through state variable derivation, so that tracking errors can be reduced through design of the flatness controller. A control process is more precise, and good control performance is ensured.

An example method comprises receiving historical sensor data from sensors of components of wind turbines, training a set of models to predict faults for each component using the historical sensor data, each model of a set having different observation time windows and lead time windows, evaluating each model of a set using standardized metrics, comparing evaluations of each model of a set to select a model with preferred lead time and accuracy, receive current sensor data from the sensors of the components, apply the selected model(s) to the current sensor data to generate a component failure prediction, compare the component failure prediction to a threshold, and generate an alert and report based on the comparison to the threshold.

The invention relates to a method for designing and fabricating bucket turbines with calibrated jets characterised in that the skeletons of the turbines displayed on the screen allow them to be designed and then fabricated in any dimensions, any materials and any quantities, and they are built with blades designed according to the so-called five-parameter arithmetic principle, the skeleton of the turbine is displayed on the screen by means of virtual neutral fibres which are subsequently covered with a material, the turbines being contained, over the entire length thereof, in a circular envelope, which is in principle slightly rounded and has a diameter that varies over the length thereof according to the contents of the envelope, and the length of said single-component envelope is shown on a drawing and divided into four zones intersected by temporary virtual discs which each separate the zones according to the functions carried out in these areas, the front edge of said envelope being very sharp or, on demand, provided with a flange Br for allowing connection to installations, the four zones comprising:

a first zone for (1) for injecting the fluid, which is an empty space or a space containing valves or inducers, of the corkscrew type, which optionally cause a pre-rotation of the fluid which enters a second zone (2), a pointed shield pushing the flow of fluid away from the centre on arrival, and directing it away towards the second zone (2), the second zone (2) where the rotation of the fluid is created in channels that wind in spirals and open up at the rear of the second zone (2), rotating the fluid, a third zone (3) containing the rotating wheel provided with buckets with calibrated jets that harness the energy supplied by the jets of fluid leaving the second zone (2), and a fourth zone (4) containing a housing attached to the stationary casing of the turbine and placed after the rotating wheel, said housing containing channels that orient the fluid towards the outlet at the rear of the turbine, and the fluid is guided, as soon as it reaches the second zone (2), by channels contained in tubes that are arranged in continuity face to face, over the entire length of the turbine.

A method of modeling an equivalent wind turbine generator (WTG) system for a wind farm having a plurality of WTG units includes determining an impact factor of each WTG unit of the plurality of WTG units, determining an equivalent single WTG unit model parameters of the wind farm based on the impact factor of each WTG unit, and determining an effective wind speed of the wind farm to use as the equivalent WTG input wind speed. The method produces a model of static and/or dynamic wind farm behavior. Additionally, a software configured to execute a method of modeling an equivalent wind turbine generator (WTG) system for a wind farm having a plurality of WTG units.

A system receives locations of a plurality of electricity-generating units in an area, and it divides the area into a plurality of sectors. The system traverses through the sectors and forms a set of sectors. The set of sectors includes a set of electricity-generating units. The set of electricity-generating units does not exceed an aggregate voltage threshold. The system forms a circuit with the set of electricity-generating units by determining a shortest path to connect the set of electricity-generating units. The system adjusts this shortest path to incorporate environmental and physical constraints.

The present invention relates to a method for screening a correlated seed turbine for wind direction prediction. The method includes the following steps: (1) modeling a yaw event of a wind turbine based on a wind direction, a wind speed and a yaw parameter, and obtaining a wind turbine yaw event flag of each wind turbine in a wind farm during a modeling period; (2) classifying and counting the wind turbine yaw event flag, and obtaining a yaw correlation coefficient of other wind turbines each with a target wind turbine in the wind farm; and (3) screening a seed turbine based on the yaw correlation coefficient. Compared with the prior art, the method of the present invention has the advantages of high discriminant validity of the seed turbine, small error, high correlation, and close wind speed characteristics.

A system for enhanced sequential power system model calibration is provided. The system is programmed to store a model of a device. The model includes a plurality of parameters. The system is also programmed to receive a plurality of events associated with the device, receive a first set of calibration values for the plurality of parameters, generate a plurality of sets of calibration values for the plurality of parameters, for each of the plurality of sets of calibration values, analyze a first event of the plurality of events using a corresponding set of calibration values to generate a plurality of updated sets of calibration values, analyze the plurality of updated sets of calibration values to determine a current updated set of calibration values, and update the model to include the current updated set of calibration values.

A computing device for distributed power system model calibration is provided. The computing device is programmed to receive event data and model response data associated with a model to simulate, wherein the model includes a plurality of parameters, divide the event data into a plurality of sets, wherein each set includes associated parameters, and transmit the plurality of sets of event data to a plurality of client nodes. Each client node of the plurality of client nodes is programmed to analyze a corresponding set of event data to determine updated parameters for the model. The computing device is further programmed to receive a plurality of updated parameters for the model from the plurality of client nodes and analyze the received plurality of updated parameters to determine at least one adjusted parameter.

A system for enhanced power system model calibration is provided. The system is programmed to store a model of a device. The model includes a plurality of parameters. The system is also programmed to receive a plurality of events associated with the device, receive a first set of input calibration values for the plurality of parameters, sequentially analyze the plurality of events in a first sequence to determine a set of calibrated parameter values for the model, validate the set of calibrated parameter values for the model to determine fit, and perform Bayesian optimization on the determined fit, the set of calibrated parameter values for the model, and the plurality of events.

A system for sequential power system model calibration is provided. The system includes a computing device in communication with at least one sensor monitoring a power system. The computing device includes at least one processor in communication with at least one memory. The at least one processor is programmed to store a model of a device. The model includes a plurality of parameters. The at least one processor is also programmed to receive a plurality of events associated with the device, filter the plurality of events to generate a plurality of unique events, sequentially analyze the plurality of unique events to determine a set of calibrated parameters for the model, and update the model to include the set of calibrated parameters.