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Title: Power system disturbance localization using recurrence quantification analysis and minimum-volume-enclosing ellipsoid

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.

Inventors:
; ; ; ; ;
Issue Date:
Research Org.:
Univ. of Tennessee, Knoxville, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1568673
Patent Number(s):
10,371,740
Application Number:
15/609,861
Assignee:
University of Tennessee Research Foundation (Knoxville, TN)
DOE Contract Number:  
EEC-1041877
Resource Type:
Patent
Resource Relation:
Patent File Date: 05/31/2017
Country of Publication:
United States
Language:
English

Citation Formats

Cui, Yi, Bai, Feifei, Yao, Wenxuan, Liu, Yong, Wu, Ling, and Liu, Yilu. Power system disturbance localization using recurrence quantification analysis and minimum-volume-enclosing ellipsoid. United States: N. p., 2019. Web.
Cui, Yi, Bai, Feifei, Yao, Wenxuan, Liu, Yong, Wu, Ling, & Liu, Yilu. Power system disturbance localization using recurrence quantification analysis and minimum-volume-enclosing ellipsoid. United States.
Cui, Yi, Bai, Feifei, Yao, Wenxuan, Liu, Yong, Wu, Ling, and Liu, Yilu. Tue . "Power system disturbance localization using recurrence quantification analysis and minimum-volume-enclosing ellipsoid". United States. https://www.osti.gov/servlets/purl/1568673.
@article{osti_1568673,
title = {Power system disturbance localization using recurrence quantification analysis and minimum-volume-enclosing ellipsoid},
author = {Cui, Yi and Bai, Feifei and Yao, Wenxuan and Liu, Yong and Wu, Ling and Liu, Yilu},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}

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