Supporting Sustainable Maintenance of Substations under Cyber-Threats: An Evaluation Method of Cybersecurity Risk for Power CPS

Youping Fan, Jingjiao Li, Dai Zhang, Jie Pi, Jiahan Song and Guo Zhao
Additional contact information
Youping Fan: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Jingjiao Li: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Dai Zhang: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Jie Pi: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Jiahan Song: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Guo Zhao: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China

Sustainability, 2019, vol. 11, issue 4, 1-30

Abstract: In the increasingly complex cyber-environment, appropriate sustainable maintenance of substation auto systems (SASs) can lead to many positive effects on power cyber-physical systems (CPSs). Evaluating the cybersecurity risk of power CPSs is the first step in creating sustainable maintenance plans for SASs. In this paper, a mathematical framework for evaluating the cybersecurity risk of a power CPS is proposed considering both the probability of successful cyberattacks on SASs and their consequences for the power system. First, the cyberattacks and their countermeasures are introduced, and the probability of successful cyber-intruding on SASs is modeled from the defender’s perspective. Then, a modified hypergraph model of the SAS’s logical structure is established to quantitatively analyze the impacts of cyberattacks on an SAS. The impacts will ultimately act on the physical systems of the power CPS. The modified hypergraph model can describe more information than a graph or hypergraph model and potentially can analyze complex networks like CPSs. Finally, the feasibility and effectiveness of the proposed evaluation method is verified by the IEEE 14-bus system, and the test results demonstrate that this proposed method is more reasonable to assess the cybersecurity risk of power CPS compared with some other models.

Keywords: power cyber-physical system; IEC 61850; IEC 62351; modified hypergraph; cybersecurity risk evaluation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/4/982/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/4/982/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:4:p:982-:d:205907

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().