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Numerical Investigations of the Thermal State of Overhead Lines and Underground Cables in Distribution Networks

MAKHKAMOVA, IRINA (2011) Numerical Investigations of the Thermal State of Overhead Lines and Underground Cables in Distribution Networks. Doctoral thesis, Durham University.

PDF (post-examination version of thesis) - Accepted Version


As part of extensive activities on the reduction of CO2 emissions, a rapid expansion of power generation using new more fuel efficient technologies (large, medium and embedded scale with combined heat and power (CHP) projects) and renewable energy (wind, biomass, solar PV) is currently taking place in numerous European countries, including the UK. The research presented in this thesis is a part of a UK government funded project, which aims to find answers to how to accommodate increased renewable energy into the distribution network. Current ratings, which are limited by the temperature of the conductors used in the distribution network, are based on worst case scenario conditions and are conservative. The temperature limits can be lifted if one takes into consideration the dynamic changes in the surrounding environmental conditions of the conductors. Implementation of real-time thermal rating of existing power systems could result in greater installed capacities of distributed generation (DG). This research aims to provide new insights into the thermal state of overhead line conductors (OHL) and underground cables (UGC) by using Computational Fluid Dynamic methods. An algorithm consists of building the geometry of the calculation domain, meshing, choosing a model, inputting initial conditions, initiation of the calculation, and analysing results.

A part of the UK power system was chosen by Scottish Power Energy Networks for monitoring essential data of OHL conductors in order to validate results of the temperatures of the conductors.

Item Type:Thesis (Doctoral)
Award:Doctor of Philosophy
Keywords:Overhead lines, underground cables, the thermal state, CFD analysis
Faculty and Department:Faculty of Science > Engineering and Computing Science, School of (2008-2017)
Thesis Date:2011
Copyright:Copyright of this thesis is held by the author
Deposited On:07 Jun 2011 10:16

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