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Multilevel MATE algorithm for simulation of power system transients with the OVNI simulator Armstrong, Maz̆ana Lukić
Abstract
The existing MATE (" Multi Area Thevenin Equivalent") concept implemented in the real-time simulator OVNI provides a means of partitioning large systems of equations into subsystems connected through links. The subsystems are solved independently, with the overall solution integrated at the level of the links. MATE partitioning enables fast simulation of power system networks in two distinct ways: first, it allows parallel processing in a multi-machine environment and second, it allows integration of different solution techniques for individual subsystems. In this thesis, we generalize the concept of MATE with the new Multilevel MATE concept, in which each subsystem becomes the basis for a new level of MATE partitioning. The new concept allows subsystems to be further partitioned into subsubsystems that, for example, are of a constant and changing nature. Partitioning at the subsystem level leads to higher overall solution efficiency. Furthermore, power system components can be described using Multilevel MATE by their nodal and/or branch equations on the subsystem level in OVNI. A three-phase induction machine model is an example of a power system component that is naturally described with branch equations. Multilevel MATE also provides a convenient framework for the incorporation of controllers as well as nonlinear elements. The software implementation of OVNI written in this work is based on the Multilevel MATE algorithm. Models of power system components have been implemented and tested using the newly developed concept. A test case describing a doubly-fed induction generator wind turbine system has been modelled and studied as a practical example of the new solution scheme's capabilities.
Item Metadata
Title |
Multilevel MATE algorithm for simulation of power system transients with the OVNI simulator
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2006
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Description |
The existing MATE (" Multi Area Thevenin Equivalent") concept implemented in the
real-time simulator OVNI provides a means of partitioning large systems of equations
into subsystems connected through links. The subsystems are solved independently,
with the overall solution integrated at the level of the links. MATE partitioning
enables fast simulation of power system networks in two distinct ways: first, it allows
parallel processing in a multi-machine environment and second, it allows integration
of different solution techniques for individual subsystems.
In this thesis, we generalize the concept of MATE with the new Multilevel MATE
concept, in which each subsystem becomes the basis for a new level of MATE partitioning.
The new concept allows subsystems to be further partitioned into subsubsystems
that, for example, are of a constant and changing nature. Partitioning
at the subsystem level leads to higher overall solution efficiency. Furthermore, power
system components can be described using Multilevel MATE by their nodal and/or
branch equations on the subsystem level in OVNI. A three-phase induction machine
model is an example of a power system component that is naturally described with
branch equations. Multilevel MATE also provides a convenient framework for the
incorporation of controllers as well as nonlinear elements.
The software implementation of OVNI written in this work is based on the Multilevel
MATE algorithm. Models of power system components have been implemented
and tested using the newly developed concept. A test case describing a doubly-fed
induction generator wind turbine system has been modelled and studied as a practical
example of the new solution scheme's capabilities.
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Genre | |
Type | |
Language |
eng
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Date Available |
2011-01-20
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0100317
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.