This inventor holds 1 USPTO granted patent. Top assignee: Battelle Memorial Institute. Active years: 2021.
Company Filing History:
Years Active: 2021
Title: Innovations by Xiaoyuan Fan in Power System Reliability
Introduction
Xiaoyuan Fan is an accomplished inventor based in Richland, WA (US). He has made significant contributions to the field of power systems through his innovative patent. His work focuses on enhancing the reliability and performance of bulk electric power systems.
Latest Patents
Xiaoyuan Fan holds a patent for the Transformative Remedial Action Scheme Tool (TRAST). This patent describes techniques and apparatuses that enable transformative Remedial Action Scheme (RAS) analyses and methodologies. The TRAST provides methods for designing, reviewing, revising, testing, implementing, verifying, or validating a RAS. An improved RAS enhances the operation of the power system, including its performance, reliability, control, and asset utilization. The methodologies discussed in the patent offer an end-to-end solution for adaptively setting RAS parameters based on realistic and near real-time operational conditions. This innovation leverages utility data analysis and employs dynamic simulations and machine learning to significantly simplify and shorten the entire RAS process.
Career Highlights
Xiaoyuan Fan is currently employed at Battelle Memorial Institute, where he continues to develop innovative solutions for power systems. His work has been instrumental in advancing methodologies that improve grid reliability and asset utilization.
Collaborations
Xiaoyuan has collaborated with notable colleagues, including Xinya Li and Emily L. Barrett, who contribute to the research and development efforts at Battelle Memorial Institute.
Conclusion
Xiaoyuan Fan's innovative work in the field of power systems, particularly through his patent for the Transformative Remedial Action Scheme Tool, showcases his commitment to enhancing the reliability and efficiency of electric power systems. His contributions are vital for the future of power grid management and reliability.