Open AccessEvaluation of cyber‐physical power systems in cascading failure: node vulnerability and systems connectivity
Author(s) -
Chen Lei,
Yue Dong,
Dou Chunxia,
Chen Jianbo,
Cheng Zihao
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.1286
Subject(s) - cascading failure , cyber physical system , vulnerability (computing) , computer science , scalability , electric power system , vulnerability assessment , vulnerability index , distributed computing , grid , power system protection , complex network , computer network , reliability engineering , power (physics) , engineering , computer security , physics , quantum mechanics , operating system , psychology , ecology , geometry , mathematics , database , climate change , psychological resilience , world wide web , psychotherapist , biology
In cyber‐physical power systems, tiny failure occurring in the communication network could propagate to affect the operation of the physical power grid through inter‐links and even cause catastrophic blackouts. The authors propose a partial random coupling systems model to study the vulnerability of nodes and connectivity of systems in a cascading failure. In terms of traffic loads generated in systems, they employ load spill index to analyse dynamic states of nodes in cascading failure. In cascading failure, considering the effect from a communication network, vulnerability matrices are established to study the vulnerability of nodes in the physical power grid. Furthermore, an efficiency index is defined to analyse connectivity of systems. In the numerical simulation, they verify the accuracy of the proposed evaluation approach and test its scalability and universality in different power systems.