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Electrical and Computer Engineering
<p>Eigenvalues<br />Electric power system stability -- Mathematical models<br />Oscillations</p>
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Comparison Of Matrix Pencil And Prony Analysis For Estimating Electromechanical Modes In Noisy Signals For Power System Applications, Lisa L. Grant
Comparison Of Matrix Pencil And Prony Analysis For Estimating Electromechanical Modes In Noisy Signals For Power System Applications, Lisa L. Grant
Masters Theses
"As modern power systems continue to grow and evolve, accurate system stability analysis and oscillation control become increasingly important to guarantee system security. Network instability due to power system oscillations caused by the natural modes of the system is becoming a common occurrence. Modal analysis techniques can estimate the eigenvalues of large nonlinear systems from their dynamics responses. The extracted modal information can be applied to detect low frequency oscillations and assess stability margins for power system monitoring and preventive control. Modal information is also useful for low-frequency oscillation damping controller design. This thesis examines two techniques for modal identification …