Thesis

Modeling and stability analysis of nine phase induction machine for hybrid generation

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Awarding institution
  • University of Strathclyde
Date of award
  • 2024
Thesis identifier
  • T16903
Person Identifier (Local)
  • 201860559
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Department, School or Faculty
Abstract
  • A model for a nine-phase induction machine using the method of natural variables was studied. A general model which combines the model of a nine-phase induction machine, converter systems and battery energy system is developed. Steady state equations from this model were derived and studied. Approaches to series and parallel converter configurations to voltage source were investigated. Stability analysis of wind turbine system for nine phase, three phase and DFIG induction generator was conducted and reported. New findings show the stability boundary of each respective machine. In addition, a novel analytical approach to determine the leakage winding inductance of a multi-phase induction machine was investigated for a symmetric and asymmetric nine phase induction machine, using the multiple d − q and vector space decomposition as basis of comparison for the two-machine configuration, an issue commonly overlooked in the scientific literature. On an elaborated scale, the leakage inductance for different inductance subspace of the multiple-phase induction machine for each modelling approach was derived. The interrelation of the machine pitch factor, leakage inductance of the top and bottom conductor of a double layer windings in a multiphase induction machine, and how these variables affect the leakage flux, a component which is the cause of losses in the x − y subspace of a multi-phase induction machine is investigated and findings discussed. A new metric based on per unit for quantifying the flux density contribution from each winding set of a multiple-set phase induction machine that is simple, intuitive, and well-defined for both motoring and generating mode is also presented. Graphical plots, which show different expected contributions from different machine windings operational scenarios are included and analysed.
Advisor / supervisor
  • Anaya-Lara, Olimpo
Resource Type
DOI
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