Novel complex network model and its application in identifying critical components of power grid

Chong Chen, Xuan Zhou, Zhuo Li, Zhiheng He, Zhengtian Li and Xiangning Lin

Physica A: Statistical Mechanics and its Applications, 2018, vol. 512, issue C, 316-329

Abstract: A novel power grid complex network model in order to in-depth characterize the power grid with its complexity is proposed in this paper, based on the power flow transmission network (PFTN). With novel definitions, considering the path, distance and capacity of power transmission comprehensively, the complex network model can comply with the basic electrical law and the physical constraints of power grid. On this basis, an index set for identifying critical buses and branches within the power grid is designed. The index set includes distance and capability degree, hub, distance and capability betweenness, which can fully evaluate the role of nodes or branches in composing the structure and maintaining the system operation of the power grid. Simulations on both IEEE benchmark systems and a provincial power grid in China are conducted using the proposed model, with critical components identification yielding good results. By comparison with existing methods, the effectiveness and superiority of the proposed model are verified.

Keywords: Complex network model; Power flow transmission network; Transmission capability; Critical component identification; Capability degree; Betweenness (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:512:y:2018:i:c:p:316-329

DOI: 10.1016/j.physa.2018.08.095

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