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A statistical assessment tool for electricity distribution networks

Abeysinghe Herath Mudiyanselage, Sathsara Madumali, Wu, Jianzhong and Sooriyabandara, Mahesh 2017. A statistical assessment tool for electricity distribution networks. Energy Procedia 105 , pp. 2595-2600. 10.1016/j.egypro.2017.03.747

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Abstract

Many interesting studies are being carried out globally to analyze the impact of new low carbon technologies on the energy distribution networks. Most of these studies are focused on synthetic and real grid samples. Research findings of such studies are case specific and have very limited applicability to other networks making them unsuitable to make generalized conclusions. An ensemble of realistic distribution network models with similar topological and technical/electrical properties can provide a good basis to conduct statistical studies on an electricity distribution network, opening up the opportunity to make robust conclusions in a more generalized manner. With these motivations, this paper presents a methodology to develop a statistical assessment tool to facilitate large scale simulation studies on electricity distribution networks. A simple case study is presented to demonstrate how such a framework can be used to perform a statistical study to analyze the impact of new low carbon technologies on electricity distribution networks.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Additional Information: 8th International Conference on Applied Energy – ICAE2016
Publisher: Elsevier
ISSN: 1876-6102
Last Modified: 15 Jul 2019 13:56
URI: http://orca-mwe.cf.ac.uk/id/eprint/113619

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