Stability assessment of isolated six-phase induction generator feeding static loads
Author(s) -
Kiran Singh,
Girish Kumar Singh
Publication year - 2016
Publication title -
turkish journal of electrical engineering and computer sciences
Language(s) - English
Resource type - Journals
eISSN - 1303-6203
pISSN - 1300-0632
DOI - 10.3906/elk-1502-166
Subject(s) - eigenvalues and eigenvectors , control theory (sociology) , induction generator , stability (learning theory) , generator (circuit theory) , inductance , voltage , focus (optics) , steady state (chemistry) , mathematics , computer science , engineering , physics , power (physics) , artificial intelligence , electrical engineering , chemistry , control (management) , quantum mechanics , machine learning , optics
This paper presents the stability analysis of a six-phase self-excited induction generator (SP-SEIG) based on the eigenvalue stability criteria for its linearized model. This demonstrates the small signal stability behavior during steady-state operating conditions. The eigenvalue approach also establishes an opportunity to correlate eigenvalues with machine parameters. The investigation in this paper reveals that the eigenvalues are dependent upon the machine parameters, and the most critical parameter is the variation in magnetizing inductance (Lm) . The eigenvalues are varied in accordance with the machine variables and give focus to the stabilization of the SP-SEIG. A particular voltage build-up phenomenon is also experimentally verified to validate the proposed analytical approach in this paper.
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