Alicia J. Allen

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The objective of the paper is to present an innovative method for event detection. The data is collected using a PMU network installed to provide wide-area monitoring and analysis of Texas' bulk power system. Grid events are detected using a combination of simple statstical algorithms, singular point detection with residual modeling, short time Fourier(More)
NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information,(More)
This paper investigates the potential for wind power plants (WPPs) and photovoltaic power plants (PVPs) to damp inter-area oscillations. Inter-area oscillations may be the result of a single or a group of generators oscillating against another group of generators across a weak transmission link. If poorly damped, these power system oscillations can cause(More)
The University of Texas at Austin introduced the Independent Synchrophasor Network in order to monitor events and analyze low frequency oscillations from the electric power grid through PMU measurements taken at customer level voltage (120 V). The purpose of this paper is to present validation of the quality of these distribution level measurements for(More)
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