Abstract

With a large penetration of low carbon technologies (LCTs) at medium voltage and low voltage levels, electricity distribution networks are undergoing rapid changes. Much research has been carried out to analyse the impact of employing LCTs in distribution networks based on either real or synthetic network samples. Results of such studies are usually case specific and of limited applicability to other networks. Topological properties of a distribution networks describe how different network components are located and connected, which are critical for the investigation of network performance. However, the number of network modelling and simulation platforms are limited in the open literature which can provide random realistic representations of electricity distribution networks. Thus, it is difficult to arrive to generalized and robust conclusions on impact studies of LCTs. As the initial step to bridge this gap, this paper studies the topological properties of real-world electricity distribution networks at the medium voltage level by employing the techniques from complex networks analysis and graph theory. The networks have been modelled as graphs with nodes representing electrical components of the network and links standing for the connections between the nodes through distribution lines. The key topological properties that characterize different types (urban and sub-urban) of distribution networks have been identified and quantified. A novel approach to obtain depth-dependent topological properties has also been developed. Results show that the node degree and edge length related graph properties are a key to characterize different types of electricity distribution networks and depth dependent network properties are able to better characterize the topological properties of urban and sub-urban networks.

Highlights

  • The increasing penetration of Distributed Energy Resources (DERs) together with load growth, the new requirements of decarbonisation, efficiency, security and quality of power supply and the deregulation of the electricity markets have⇑ Corresponding author.significantly changed the traditional approaches to planning, design and operation of the electrical power system

  • This paper focuses on investigating the topological properties of the real-world electricity distribution networks

  • While all above-mentioned research demonstrates the value of investigating topological properties and generating random realistic network models of real world power networks, most of them were carried out for the High Voltage (HV) level

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Summary

Introduction

The increasing penetration of Distributed Energy Resources (DERs) together with load growth, the new requirements of decarbonisation, efficiency, security and quality of power supply and the deregulation of the electricity markets have. A large number of new methodologies and algorithms have been proposed recently to overcome the operational challenges of the electrical power system with the integration of smart grids technologies The effectiveness of these methodologies were mostly tested or implemented on one or a few specific test networks that are not yet able to provide robust and generalized conclusions [9,10,11]. Identifying and quantifying the important statistical properties of different types of distribution networks is a key requirement when developing such random, realistic network models. While all above-mentioned research demonstrates the value of investigating topological properties and generating random realistic network models of real world power networks, most of them were carried out for the HV level.

Properties for investigation of network topologies
Graph properties
Depth property
Power grid data for topological investigation
Topological analysis
The depth dependent topological properties
Conclusions and future work
Full Text
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