Power System Disturbance Localization Using Recurrence Quantification Analysis And Minimum-volume-enclosing Ellipsoid: US 10371740 B2
Patent
Title | Power System Disturbance Localization Using Recurrence Quantification Analysis And Minimum-volume-enclosing Ellipsoid: US 10371740 B2 |
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Type | Patent |
Authors | Cui, Yi (Author), Bai, Feifei (Author), Yao, Wenxuan (Author), Liu, Yong (Author), Wu, Ling (Author) and Liu, Yilu (Author) |
Patent/Trademark Applicant | University of Tennessee Research Foundation |
Patent/Trademark Number | 10371740 |
Countries in Which Patented/Trademarked | United States of America |
Number of Pages | 10 |
Year | 2019 |
Web Address (URL) | https://www.lens.org/172-880-168-258-116 |
Abstract | A method for determining a location of a disturbance in a power system is provided. The method includes receiving data from a plurality of sensors distributed across the power system; performing a recurrence quantification analysis on the received data to identify a predetermined number of sensors, from the plurality of sensors, that are closest to the disturbance; constructing a plurality of minimum-volume-enclosing ellipsoids based on and enclosing the data received from the identified sensors; extracting one or more parameters from the plurality of minimum-volume-enclosing ellipsoids; inputting the one or more parameters into a multivariate-random-forest regression algorithm to determine the location of the disturbance and a power mismatch corresponding to the disturbance; and presenting, on one or more display units, the determined location of the disturbance and the determined power mismatch. |
Keywords | power system; disturbance; sensors |
ANZSRC Field of Research 2020 | 460299. Artificial intelligence not elsewhere classified |
400803. Electrical energy generation (incl. renewables, excl. photovoltaics) | |
Public Notes | File source: United States Patent and Trademark Office, www.uspto.gov |
Byline Affiliations | University of Tennessee, United States |
University of Queensland | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7w13/power-system-disturbance-localization-using-recurrence-quantification-analysis-and-minimum-volume-enclosing-ellipsoid-us-10371740-b2
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