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Subspace Identification Methods and Multivariable Control for a Doubly-fed Induction Generator

Authors:
Danna Lisseth Albarracín Ávila
Eduardo Giraldo

Keywords: subspace identification; parameters estimated; wind turbine; multivariable system; integral controller.

Abstract:
Doubly-Fed Induction Generators (DFIG) are being widely used on Wind Turbine Generator System (WTGS), although synchronous generators are being extensively utilized too. Thus, there are different types of identification techniques to obtain an estimated model of system. Orthogonal Decomposition (ORT) and Multivariable Output Error State Space (MOESP) algorithms are two well-known subspace identification techniques, discussed in this paper. These identification techniques are often implemented for multivariable systems. Subspace identification algorithms are attractive since the state space form is highly suitable to estimate, predict, filters, as well as for control design. The Doubly-Fed Induction Generator is widely used in the variable-speed constant-frequency Wind Power Generation System, using the vector control scheme which provides good performance in maximum wind energy capturing. In the traditional vector control scheme, the reduced doubly-fed induction generator model, which neglects the stator flux transients, is employed to simplify the rotor current inner-loop controller using the standard Proportional-Integral (PI) regulation. The approach proposed in this paper must be approached in order to obtain an approximate model influenced by the behaviour of the system with certain functional characteristics and environmental changes.

Pages: 58 to 63

Copyright: Copyright (c) IARIA, 2015

Publication date: April 19, 2015

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-399-5

Location: Barcelona, Spain

Dates: from April 19, 2015 to April 24, 2015