| Patent Filing: 7/14/2021 |
| Application Abstract: Systems and methods for new systems and methods for detecting power quality disturbances, such as faults. The approach is based on the dynamic mode decomposition (DMD) – a data-driven method to estimate linear dynamics whose eigenvalues and eigenvectors approximate those of the Koopman operator. The approach uses the real part of the main eigenvalue estimated by the DMD as the key indicator that a power quality event has occurred. The disclosed systems and methods can be used to detect events using current and voltage signals to distinguish different faults. Because the proposed method is window-based, the effect that the window size has on the performance of the approach is analyzed. |
| Date Added to Site: 3/27/2024 |
| Tech ID: SD 15527.1 |
| Patent Type: Pending |
| This invention was made with Government support under Contract No. DE-NA0003525 awarded by the United States Department of Energy/National Nuclear Security Administration. The Government has certain rights in the invention. |
| Attribution for Derwent World Patents Index Records published on Sandia ® Clarivate. All rights reserved. Republication or redistribution of Clarivate content, including by framing or similar means, is prohibited without the prior written consent of Clarivate. Clarivate and its logo, as well as all other trademarks used herein are trademarks of their respective owners and used under license. |