Information Services banner Edinburgh Research Archive The University of Edinburgh crest

Edinburgh Research Archive >
Engineering, School of >
Engineering, School of >
Engineering thesis and dissertation collection >

Please use this identifier to cite or link to this item:

This item has been viewed 143 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
Publications.zipFile not available for download6.13 MBAdobe PDF
Wang2010.pdfPhD thesis1.56 MBAdobe PDFView/Open
Title: Incorporating distributed generation into distribution network planning: the challenges and opportunities for distribution network operators
Authors: Wang, David Tse-Chi
Supervisor(s): Harrison, Gareth P
Ochoa, Luis F
Issue Date: 2010
Publisher: The University of Edinburgh
Abstract: Diversification of the energy mix is one of the main challenges in the energy agenda of governments worldwide. Technology advances together with environmental concerns have paved the way for the increasing integration of Distributed Generation (DG) seen over recent years. Combined heat and power and renewable technologies are being encouraged and their penetration in distribution networks is increasing. This scenario presents Distribution Network Operators (DNOs) with several technical challenges in order to properly accommodate DG developments. However, depending on various factors, such as location, size, technology and robustness of the network, DG might also be beneficial to DNOs. In this thesis, the impact of DG on network planning is analysed and the implications for DNOs in incorporating DG within the network planning process are identified. In the first part, various impacts of DG to the network, such as network thermal capacity release, security of supply and on voltage, are quantified through network planning by using a modified successive elimination method and voltage sensitivity analysis. The results would potentially assist DNOs in assessing the possibilities and effort required to utilise privately-owned DG to improve network efficiency and save investment. The quantified values would also act as a fundamental element in deriving effective distribution network charging schemes. In the second part, a novel balanced genetic algorithm is introduced as an efficient means of tackling the problem of optimum network planning considering future uncertainties. The approach is used to analyse the possibilities, potential benefits and challenges to strategic network planning by considering the presence of DG in the future when the characteristics of DG are uncertain.
Keywords: energy supply
Distributed Generation
Combined heat and power
renewable technology
Distributed Network Operators
network planning
voltage sensitivity analysis.
balanced genetic algorithm
Appears in Collections:Engineering thesis and dissertation collection

Items in ERA are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2013, and/or the original authors. Privacy and Cookies Policy