G06F2113/06

Systems and methods for enhanced sequential power system model parameter estimation

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.

Multi-time-scale reliability evaluation method of wind power IGBT considering fatigue damage and system thereof
11543446 · 2023-01-03 · ·

The disclosure discloses a multi-time-scale reliability evaluation method of a wind power IGBT considering fatigue damage and a system thereof. Lifetime information of a power device is comprehensively extracted by using multiple time scales. An electro-thermal coupling model of an IGBT module is established to obtain a junction temperature data. A steady-state junction temperature database of the IGBT in different aging states is established. Based on a SCADA monitoring data, the junction temperature data is outputted in real-time through the electro-thermal coupling model and a real-time thermal stress cycle number is calculated in a short-term time-scale profile, and a wind speed probability distribution curve is obtained in a long-term time-scale profile. A maximum thermal stress cycle number that the IGBT can withstand in different aging stages is obtained in advance and a cumulative damage degree and an estimated lifetime of the IGBT of the wind power converter are calculated.

ENGINE COMPONENT WITH STRUCTURAL SEGMENT

An engine component for a turbine engine, the engine component comprising a wall bounding an interior; a panel portion defining a portion of the wall, the panel portion comprising: an outer wall; an inner wall spaced from the outer wall to define a wall gap; and a structural segment formed within the wall gap comprising at least one structural element. The apparatus formed from a method including calculating a factor and adjusting a variable until the factor is between a given range.

ENGINE COMPONENT WITH STRUCTURAL SEGMENT

An apparatus and method for forming an engine component for a turbine engine, the engine component comprising a wall bounding an interior; a panel portion defining a portion of the wall, the panel portion comprising: an outer wall; an inner wall spaced from the outer wall to define a wall gap; and a structural segment formed within the wall gap comprising at least one structural element. The method including calculating a factor and adjusting a variable until the factor is between a given range.

Circuits for electricity-generating 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.

Simulation evaluation model of high voltage ride through capability, simulation evaluation method based on the same and storage medium

A simulation evaluation model of a high voltage ride through capability includes a wind turbine system aerodynamic model, a torque control model, a converter model, and a high voltage fault generating device model connected in sequence; the wind turbine system aerodynamic model is configured to calculate an airflow input power; the torque control model is configured to calculate a rotor electromagnetic torque according to the airflow input power; the high voltage fault generating device model is configured to simulate a high voltage fault and output a predetermined voltage on a low voltage side of a transformer; and the converter model is configured to calculate a stator reactive current, an active power and a reactive power of the wind turbine system during the high voltage fault according to the airflow input power, the rotor electromagnetic torque and the predetermined voltage on the low voltage side of the transformer.

MULTI-TIME-SCALE RELIABILITY EVALUATION METHOD OF WIND POWER IGBT CONSIDERING FATIGUE DAMAGE AND SYSTEM THEREOF
20220074985 · 2022-03-10 · ·

The disclosure discloses a multi-time-scale reliability evaluation method of a wind power IGBT considering fatigue damage and a system thereof. Lifetime information of a power device is comprehensively extracted by using multiple time scales. An electro-thermal coupling model of an IGBT module is established to obtain a junction temperature data. A steady-state junction temperature database of the IGBT in different aging states is established. Based on a SCADA monitoring data, the junction temperature data is outputted in real-time through the electro-thermal coupling model and a real-time thermal stress cycle number is calculated in a short-term time-scale profile, and a wind speed probability distribution curve is obtained in a long-term time-scale profile. A maximum thermal stress cycle number that the IGBT can withstand in different aging stages is obtained in advance and a cumulative damage degree and an estimated lifetime of the IGBT of the wind power converter are calculated.

METHOD FOR DETERMINING A WIND TURBINE LAYOUT
20210312101 · 2021-10-07 ·

The invention provides a method for determining a wind turbine layout in a wind power plant comprising a plurality of wind turbines. The method comprises the steps of generating a plurality of random layout candidates fulfilling a set of basic requirements, and then performing a pre screening process on each of the plurality of random layout candidates. Based on the pre-screening process, a subset of layout candidates is selected and detailed optimization is performed on the layout candidates of the selected subset of layout candidates. Based on the detailed optimization, an optimized layout for the wind power plant is selected among the optimized layout candidates of the subset of layout candidates.

Method for Automatic Calculation of Axial Cooling Fan Shroud Circular Opening Size

Disclosed are techniques for determining shroud size of a fan. The techniques receive by a computer processing system digital data of a three-dimensional representation of a shroud of an axial fan, partition the received data into a first partition corresponding to a shroud segment and a second partition corresponding to a fan segment. determine a shroud boundary ring for the shroud segment and a viewing angle of the shroud boundary ring, apply to an image of the first partition a beam shooting process to determine the shroud diameter, determine if there are pixels in the image, which have values that produce signals indicating that the pixels are coincident with portions of the shroud and when signal is detected, calculate the shroud diameter. One aspect includes using the determined should size opening for performing a flow simulation.

System and method for evaluating models for predictive failure of renewable energy assets

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.