Ut-battelle, Inc.

University of Tennessee Research Foundation

Maximiliano Flavio Ferrari Maglia

Leon Monroe Tolbert

Marissa Enid Morales Rodriguez

Emilio Charles Piesciorovsky

Yang Chen

Guodong Liu

Aaron William Werth

Gary Hahn

Thomas B Ollis

Mohammed M Olama

Raymond Charles Borges Hink

Aditya Sundararajan

Methods and systems comprising an inverter comprising: a semiconductor-based power module that is overrated by a factor fhaving a value greater than two and configured to receive a DC signal and convert the DC signal into an AC signal; a saturable inductive grid filter configured to filter the AC signal; at least one sensor configured to produce a current measurement and a voltage measurement from the AC signal output from the saturable inductive grid filter; and a processor configured to compute adaptive controller gain values using at least the current measurement and temperature, and cause an adjustment to a gain of an inverter controller in accordance with the adaptive controller gain values to maintain stability when the saturable inductive grid filter saturates at high current operations.

Inverter design with high short-circuit fault current contribution

A phase to ground fault apparent (PGFA) admittance system and method with phase/ground boundaries for detecting electrical power line faults. The PGFA admittance method with phase/ground boundaries is based on measuring the A, B and C phase admittance magnitudes for faulted and non-faulted phases, resulting in greater than zero and near zero, respectively, and using the phase/ground boundaries to distinguish between the LL and LLG electrical faults. The PGFA admittance method with phase/ground boundaries is based on a pre-setting of values by using the zero, positive and negative sequences of power line sections, to determine phase and ground boundaries. The PGFA admittance algorithm with phase/ground boundaries was built with MATLAB/Simulink software and tested and evaluated with a confusion matrix. The measured and predicted values matched in more than 90% of the tests, and the PGFA admittance method presented an accuracy of 94.3% and a precision of 100%.

Phase to ground fault apparent admittance method with phase/ground boundaries for detecting fault types

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Knoxville, TN, United States of America

Maximiliano Flavio Ferrari Maglia