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Calculation of frequency-dependent parameters of power cables with digital images and partial subconductors Rivas, Richard A.
Abstract
This thesis work presents the development of a general-purpose cable-parameter algorithm which uses digital images to discretize the cable geometry and the partial subconductor equivalent circuit method to estimate the cable parameters. The idea of the proposed geometry discretization technique is to draw the cable geometry, or scan its photograph, and to use this digital image (pixel map) to automatically identify the spatial coordinates of the square-shaped (pixel-shaped) partial subconductors into which the different conductors can be subdivided. Image resolution, penetration depth, edge detection, as well as area and geometric mean distance error reduction techniques are then used to reduce the dimensions of the problem and improve the accuracy of the results. The idea of the partial subconductors method is to transform the system of conductors into an equivalent network of subconductors. A set of coupled circuit equations represents the equivalent network, and "bundling techniques" are used to obtain the parameters of the cable system. These "bundling techniques" transform the equations of the subconductors into the equations of the conductors by row and column operations. Since the number of subconductors increases noticeably with the frequency, an algorithm to partition the impedance matrices is proposed. The proposed methodology adapts itself to the physical memory of the computer, thus allowing the program to partition the partial subconductor impedance matrices when their sizes exceed the available physical memory. Coaxial cables, buried cables, and sector-shaped cables are studied with the proposed technique, and the results are compared with those obtained from the analytic method, the finite element method, and Ametani's approximate method.
Item Metadata
Title |
Calculation of frequency-dependent parameters of power cables with digital images and partial subconductors
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2001
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Description |
This thesis work presents the development of a general-purpose cable-parameter algorithm
which uses digital images to discretize the cable geometry and the partial subconductor
equivalent circuit method to estimate the cable parameters.
The idea of the proposed geometry discretization technique is to draw the cable geometry,
or scan its photograph, and to use this digital image (pixel map) to automatically
identify the spatial coordinates of the square-shaped (pixel-shaped) partial subconductors
into which the different conductors can be subdivided. Image resolution, penetration
depth, edge detection, as well as area and geometric mean distance error reduction techniques
are then used to reduce the dimensions of the problem and improve the accuracy
of the results.
The idea of the partial subconductors method is to transform the system of conductors
into an equivalent network of subconductors. A set of coupled circuit equations represents
the equivalent network, and "bundling techniques" are used to obtain the parameters of the
cable system. These "bundling techniques" transform the equations of the subconductors
into the equations of the conductors by row and column operations.
Since the number of subconductors increases noticeably with the frequency, an algorithm
to partition the impedance matrices is proposed. The proposed methodology adapts
itself to the physical memory of the computer, thus allowing the program to partition the
partial subconductor impedance matrices when their sizes exceed the available physical
memory.
Coaxial cables, buried cables, and sector-shaped cables are studied with the proposed
technique, and the results are compared with those obtained from the analytic method,
the finite element method, and Ametani's approximate method.
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Extent |
7174482 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-10-09
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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 |
10.14288/1.0065053
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2001-11
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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.