Wang, Xiaoliang, Xue, Fei, Lu, Shaofeng, Jiang, Lin 
ORCID: 0000-0001-6531-2791, Bompard, Ettore and Masera, Marcelo
(2022)
Understanding Communities From a New Functional Perspective in Power Grids.
IEEE SYSTEMS JOURNAL, 16 (2).
pp. 3072-3083.
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Understanding Communities from a New Functional Perspective in Power Grids-Final.pdf - Author Accepted Manuscript Download (2MB) | Preview |
Abstract
The contributions of this article include a new concept, a new question, and a new method. This article proposes the concept of functional community, which is different from conventional topological community. Functional community is defined with two meanings: (1) tighter internal coupling for better efficiency within the same community; (2) more internal transmission from source to sink nodes within the same community. Then a new question about how to detect functional communities in power grids is analyzed, and most existing algorithms are not applicable. Therefore, a new method is put forward. Corresponding to meaning 1, electrical coupling strength (ECS) is defined to replace conventional adjacency matrix; corresponding to meaning 2, power supply strength is defined and integrated with ECS to form the newly defined electrical functional strength. Based on these two changes, we apply the proposed power supply modularity as a benchmark to evaluate any partitioning of power grids. Moreover, the Newman fast algorithm is modified with power supply modularity maximization to detect functional communities in power grids. The capability of the proposed partitioning method is demonstrated via the IEEE-118, IEEE-300 bus systems, and an Italian power grid. We argue that the conventional topological modularity may exaggerate the community characteristics of power grids and is inferior to the power supply modularity in detecting some functional features in communities. The work can also give inspiration to other engineering networks for functional communities.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Power supplies, Power grids, Partitioning algorithms, Clustering algorithms, Couplings, Complex networks, Topology, Community detection, complex network, functional community, power grids partitioning, power supply modularity |
| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 04 Apr 2022 15:04 |
| Last Modified: | 18 Jan 2023 21:05 |
| DOI: | 10.1109/JSYST.2022.3151388 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3152085 |
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