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Multi-hazard reliability of electric power transmission networks with spatially correlated components
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index.pdf
Date
2019
Author
Altay, Umut
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Many network systems such as, gas and water pipelines, power transmission and distribution systems, highways and communication systems extend spatially over large geographical regions. Such network systems are composed of interconnected components which form paths. Correlation, resulting from similar topography, soil conditions as well as external loading due to the same environmental factors, between the behaviour of those elements should be taken into consideration and be quantified. In this respect the spatial correlation proportional to the distance amongst the components should be taken into consideration. The main objective of this thesis is to investigate the system reliability of electric power transmission networks under multihazard (seismic load, wind pressure, ice accretion and wear out) conditions by concentrating especially on the modelling and quantification of spatial correlation in a format suitable for the implementation in the evaluation of network reliability. In this respect the main concepts of the random field theory is applied and the scale of fluctuation is also be utilized as a measure of spatial correlation. A case study based on real life data is presented in order to illustrate the implementation of the methods developed in the thesis.
Subject Keywords
Electric power systems.
,
Keywords: Random Field
,
Scale of Fluctuation
,
Electric Power Network Reliability
,
Multi-Hazard
,
Spatial Correlation.
URI
http://etd.lib.metu.edu.tr/upload/12624626/index.pdf
https://hdl.handle.net/11511/44551
Collections
Graduate School of Natural and Applied Sciences, Thesis
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U. Altay, “Multi-hazard reliability of electric power transmission networks with spatially correlated components,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Statistics., Middle East Technical University, 2019.