Patents by Inventor Xiaoyuan Fan

Xiaoyuan Fan 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).

  • Transformative remedial action scheme tool (TRAST)
    Patent number: 11042132
    Abstract: Techniques and apparatuses are described that enable transformative Remedial Action Scheme (RAS) analyses and methodologies for a bulk electric power system, including methods of designing, reviewing, revising, testing, implementing, verifying, or validating a RAS. An improved RAS improves operation of the power system, including performance, reliability, control, and asset utilization. The example methodologies discussed—also referred to as a transformative Remedial Action Scheme tool (TRAST)—provide an end-to-end solution for adaptively setting RAS parameters based on realistic and near real-time operation conditions to improve power grid reliability and grid asset utilization, by leveraging utility data analysis and employing dynamic simulations and machine learning to significantly simplify and shorten the entire RAS process.
    Type: Grant
    Filed: June 7, 2019
    Date of Patent: June 22, 2021
    Assignee: Battelle Memorial Institute
    Inventors: Xiaoyuan Fan, Xinya Li, Emily L. Barrett, Qiuhua Huang, James G. O'Brien, Renke Huang, Zhangshuan Hou, Ruisheng Diao
  • TRANSFORMATIVE REMEDIAL ACTION SCHEME TOOL (TRAST)
    Publication number: 20200387121
    Abstract: Techniques and apparatuses are described that enable transformative Remedial Action Scheme (RAS) analyses and methodologies for a bulk electric power system, including methods of designing, reviewing, revising, testing, implementing, verifying, or validating a RAS. An improved RAS improves operation of the power system, including performance, reliability, control, and asset utilization. The example methodologies discussed—also referred to as a transformative Remedial Action Scheme tool (TRAST)—provide an end-to-end solution for adaptively setting RAS parameters based on realistic and near real-time operation conditions to improve power grid reliability and grid asset utilization, by leveraging utility data analysis and employing dynamic simulations and machine learning to significantly simplify and shorten the entire RAS process.
    Type: Application
    Filed: June 7, 2019
    Publication date: December 10, 2020
    Inventors: Xiaoyuan Fan, Xinya Li, Emily L. Barrett, Qiuhua Huang, James G. O'Brien, Renke Huang, Zhangshuan Hou, Ruisheng Diao