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Theory and Modeling of a 150KW Doubly Fed Induction Machine with Bidirectional Multi-level Converters Control Using SVPWM Technique

  • Research Article - Electrical Engineering
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Abstract

This paper elucidates a direct approach to the theory and modeling of a standard 150KW doubly fed induction machine (DFIM) model for voltage and power stability analysis. It includes all models of major system components such as the DFIM model, the grid and the bidirectional multi-level power converter models using space vector pulse width modulation technique. All network models were implemented and simulated using the αβ transformation realized in MATLAB 7.5. The simulation results obtained from the proposed research work for the power converter and grid path of the network were duly presented for clarity. A comparative analysis of the simulation results of the DFIM with and without a protective crowbar is also presented as a contribution for further analysis of the machine understudy.

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Abbreviations

R c :

Crowbar resistance

L c :

Crowbar inductance

L s :

Stator inductance

R s :

Stator resistance

L r :

Rotor inductance

R r :

Rotor resistance

L m :

Magnetizing inductance

E m :

Magnetizing induced emf

E r :

Rotor induced emf

R core :

Core resistance

t a :

Switching period for the first active vector “a”

t b :

Switching period for the second active vector “b”

t o :

Switching period for the zero vector “o”

t s :

Sampling time

\({ \psi_{\alpha \beta }^{\rm s} }\) :

Stator flux linkages in αβ plane

\({ \psi_{\alpha \beta }^{\rm r} }\) :

Rotor flux linkages in αβ plane

σ :

Rotor leakage inductance coefficient

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Authors and Affiliations

  1. Department of Electrical Engineering, University of Nigeria, Nsukka, Nigeria

    C. O. Omeje, D. B. Nnadi & C. I. Odeh

Authors
  1. C. O. Omeje
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  2. D. B. Nnadi
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  3. C. I. Odeh
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Correspondence to D. B. Nnadi.

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Omeje, C.O., Nnadi, D.B. & Odeh, C.I. Theory and Modeling of a 150KW Doubly Fed Induction Machine with Bidirectional Multi-level Converters Control Using SVPWM Technique. Arab J Sci Eng 39, 6339–6349 (2014). https://doi.org/10.1007/s13369-014-1275-4

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  • DOI: https://doi.org/10.1007/s13369-014-1275-4

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