A Critical Eigenvalues Tracing Method for the Small Signal Stability Analysis of Power Systems
Author(s) -
Shao-Hong Tsai,
YuanKang Wu,
Ching-Yin Lee
Publication year - 2013
Publication title -
energy and power engineering
Language(s) - English
Resource type - Journals
eISSN - 1949-243X
pISSN - 1947-3818
DOI - 10.4236/epe.2013.54b131
Subject(s) - tracing , eigenvalues and eigenvectors , stability (learning theory) , signal (programming language) , electric power system , power (physics) , control theory (sociology) , computer science , mathematics , physics , artificial intelligence , control (management) , quantum mechanics , machine learning , programming language , operating system
The continuation power flow method combined with the Jacobi-Davidson method is presented to trace the critical eigenvalues for power system small signal stability analysis. The continuation power flow based on a predictor- corrector technique is applied to evaluate a continuum of steady state power flow solutions as system parameters change; meanwhile, the critical eigenvalues are found by the Jacobi-Davidson method, and thereby the trajectories of the critical eigenvalues, Hopf bifurcation and saddle node bifurcation points can also be found by the proposed method. The numerical simulations are studied in the IEEE 30-bus test system.
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