Topological properties of medium voltage electricity distribution networks
Topological properties of medium voltage electricity distribution networks
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DOI：
10.1016/j.apenergy.2017.06.113
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发表时间：
2018-01
期刊：
影响因子：
11.2
通讯作者：
Sathsara Abeysinghe;Jianzhong Wu;M. Sooriyabandara;M. Abeysekera;Tao Xu;Chengshan Wang
中科院分区：
文献类型：
--
作者：
Sathsara Abeysinghe;Jianzhong Wu;M. Sooriyabandara;M. Abeysekera;Tao Xu;Chengshan Wang
随着低碳技术（LCT）在中压和低压水平的大量渗透，配电网络正在经历快速变化。已经进行了大量的研究，以分析基于真实的或合成网络样本的配电网络中采用LCT的影响。这种研究的结果通常是个案具体，对其他网络的适用性有限。配电网络的拓扑性质描述了网络中不同元件的位置和连接方式，是研究网络性能的关键。然而，网络建模和仿真平台的数量是有限的，在公开的文献中，可以提供随机的现实表示的配电网。因此，很难就LCT的影响研究得出普遍和有力的结论。作为弥补这一差距的第一步，本文采用复杂网络分析和图论的技术，研究了现实世界中的中压配电网的拓扑特性。网络已经被建模为具有代表网络的电气部件的节点和代表节点之间通过配电线的连接的链路的图。表征不同类型（城市和郊区）的配电网络的关键拓扑特性已被确定和量化。一种新的方法来获得深度依赖的拓扑性质也已开发。结果表明，节点度和边长相关的图性质是表征不同类型配电网的关键，深度相关的网络性质能够更好地表征城市及郊区配电网的拓扑性质。
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.