A Statistical Assessment Tool for Electricity Distribution Networks

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.