Invention Grant
- Patent Title: Power system disturbance localization using recurrence quantification analysis and minimum-volume-enclosing ellipsoid
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Application No.: US15609861Application Date: 2017-05-31
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Publication No.: US10371740B2Publication Date: 2019-08-06
- Inventor: Yi Cui , Feifei Bai , Wenxuan Yao , Yong Liu , Ling Wu , Yilu Liu
- Applicant: University of Tennessee Research Foundation
- Applicant Address: US TN Knoxville
- Assignee: University of Tennessee Research Foundation
- Current Assignee: University of Tennessee Research Foundation
- Current Assignee Address: US TN Knoxville
- Agency: Myers Bigel, P.A.
- Main IPC: G01R31/08
- IPC: G01R31/08 ; G06F17/18 ; H02H1/00 ; G06Q50/06 ; G05F1/66

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.
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