Patents by Inventor ALVARO JOSE HERNANDEZ MANCHOLA

ALVARO JOSE HERNANDEZ MANCHOLA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230155473
    Abstract: A converter has an AC side to connect to an AC network. A converter control is configured to set a current reference limit to limit a converter current. The converter control is configured to reduce the limit in case a fault is detected in the AC network. There is also described a combination of the converter in a power system with a renewable power source and a corresponding method of operating a converter in a power system with a renewable power source.
    Type: Application
    Filed: November 17, 2022
    Publication date: May 18, 2023
    Inventors: Alvaro Jose Hernandez Manchola, Thomas Haupt, Matthias Foehr
  • Patent number: 10466308
    Abstract: A method for fault level estimation for a power converter quickly after a fault clearing event includes a step of providing a training dataset with an input variable set and a corresponding system fault level output variable. The method further includes a step of deducing a hypothesis function based on the training dataset and estimating the system fault level quickly after the fault clearing event using the hypothesis function. The hypothesis function is deduced either using a neural network computational model or using a multivariate polynomial regression approach. The estimated fault level can then be used to adjust the controller parameters of the power converter.
    Type: Grant
    Filed: May 12, 2014
    Date of Patent: November 5, 2019
    Assignee: Siemens Aktiengesellschaft
    Inventor: Alvaro Jose Hernandez Manchola
  • Publication number: 20170045589
    Abstract: A method for fault level estimation for a power converter quickly after a fault clearing event includes a step of providing a training dataset with an input variable set and a corresponding system fault level output variable. The method further includes a step of deducing a hypothesis function based on the training dataset and estimating the system fault level quickly after the fault clearing event using the hypothesis function. The hypothesis function is deduced either using a neural network computational model or using a multivariate polynomial regression approach. The estimated fault level can then be used to adjust the controller parameters of the power converter.
    Type: Application
    Filed: May 12, 2014
    Publication date: February 16, 2017
    Inventor: ALVARO JOSE HERNANDEZ MANCHOLA