Review of Power Grid Importance Identification and Cascading Fault under Natural Disasters Based on Complex Network Theory

Abstract

Since the 21st century, global warming has caused frequent natural disasters, bringing great challenges to the stable operation of power grid. Based on the complex network theory, this paper discusses the importance identification of power grid under natural disasters from perspective of system, and analyses its application in cascading failures. Firstly, complex network models such as small-world model, scale-free model and space-time evolution model, etc. are introduced based on the dynamic and static characteristics of power grid topology. Secondly, in order to identify the importance of power grid, some identification indexes such as degree centrality, average path length, betweenness centrality and node cohesion, etc. are listed from two aspects of social network analysis and system science analysis. Some improved indexes are also elaborated. Thirdly, the advantages and disadvantages of establishing cascading failure models are compared from the perspectives of self-organized criticality theory and complex network theory. And typical cascading failure models such as hidden failure model and isolated centrality model are listed. Finally, the development trend of complex network theory in disaster emergency repair, cascading failure, energy Internet, new power system, and the introduction of artificial intelligence algorithm is discussed.