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Permanent link (DOI): https://doi.org/10.7939/R3P70G

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Weather-based Thermal Rating of Overhead Power Transmission Lines Open Access

Descriptions

Other title
Subject/Keyword
Model Output Statistics
Thermal rating
Power transmission
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Filimonenkov, Konstantin
Supervisor and department
Musilek, Petr (Electrical and Computer Engineering)
Examining committee member and department
Reformat, Marek (Electrical and Computer Engineering)
Sanchez-Azofeifa, Arturo (Earth and Atmospheric Sciences)
Department
Department of Electrical and Computer Engineering
Specialization

Date accepted
2011-09-26T16:08:59Z
Graduation date
2011-11
Degree
Master of Science
Degree level
Master's
Abstract
One of the ways to improve electric power transmission systems is to efficiently utilize the capacity of the existing power circuits. That can be achieved by increasing the thermal ratings of the transmission lines. In this research, weather-based rating approaches were studied. Static thermal rating (STR) strategies (probabilistic and seasonal) and a new dynamic thermal rating (DTR) approach based on numerical weather prediction (NWP) were evaluated. The results demonstrate that the DTR approach allows better line utilization compared to STR methods. It was also shown that the postprocessing technique called model output statistics (MOS) can significantly reduce errors in numerical weather simulation, improve the accuracy of the DTR system, and reduce the risks of line overheating. Efficient data management, processing, and visualization were investigated to fully utilize the potential of an advanced DTR system. Applications of the latest web-based technologies, geospatial databases, and 3D visualization techniques are presented.
Language
English
DOI
doi:10.7939/R3P70G
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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