Advanced Induction Machine model in Phase Coordinates for Wind Turbine Application

Fajardo, L.A.R.; Iov, Florin; Blaabjerg, Frede; Hansen, Alexander

doi:10.1109/iemdc.2007.383599

Cited by 3 publications

References 17 publications

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A methodology for the efficient computer representation of dynamic power systems: Application to wind parks

2012

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This version is available at https://strathprints.strath.ac.uk/28429/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output. ABSTRACTThis contribution presents a methodology to efficiently obtain the numerical and computer solution of dynamic power systems with high penetration of wind turbines. Due to the excessive computational load required to solve the abc models that represent the behavior of the wind turbines, a parallel processing scheme is proposed to enhance the solution of the overall system. Case studies are presented which demonstrate the effectiveness and applications of the proposed methodology.

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A methodology for the efficient computer representation of dynamic power systems: Application to wind parks

2012

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Induction generator model in phase coordinates for fault ride-through capability studies of wind turbines

Iov

Hansen²,

Blaabjerg

2007

2007 European Conference on Power Electronics and Applications

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Simulation of Electric Faults in Doubly-Fed Induction Generators Employing Advanced Mathematical Modelling

Martens

Mijatović

Holbøll

et al. 2017

NORD-IS

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-Efficient fault detection in generators often require prior knowledge of fault behavior, which can be obtained from theoretical analysis, often carried out by using discrete models of a given generator. Mathematical models are commonly represented in the DQ0 reference frame, which is convenient in many areas of electrical machine analysis. However, for fault investigations, the phase-coordinate representation has been found more suitable. This paper presents a mathematical model in phase coordinates of the DFIG with two parallel windings per rotor phase. The model has been implemented in Matlab and its properties in context of fault simulations and investigations has been investigated. Some of the most common faults have been simulated, namely broken rotor bars or windings, dynamic eccentricities and stator phase winding short circuits. These fault conditions propagate to the stator current as undesired spectral components, which can be detected by applying frequency spectrum analysis.

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Advanced Induction Machine model in Phase Coordinates for Wind Turbine Application

Cited by 3 publications

References 17 publications

A methodology for the efficient computer representation of dynamic power systems: Application to wind parks

A methodology for the efficient computer representation of dynamic power systems: Application to wind parks

Induction generator model in phase coordinates for fault ride-through capability studies of wind turbines

Simulation of Electric Faults in Doubly-Fed Induction Generators Employing Advanced Mathematical Modelling

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