Visible to the public Security risk analysis for smart grid automation

TitleSecurity risk analysis for smart grid automation
Publication TypeConference Paper
Year of Publication2014
AuthorsSierla, S., Hurkala, M., Charitoudi, K., Chen-Wei Yang, Vyatkin, V.
Conference NameIndustrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Date PublishedJune
Keywordsattack identification, Automation, automation architecture, communications network topology, complex system design, control engineering computing, electric grid automation system, electric grids, fault diagnosis, fault isolation, fault location, IEC 61499, IEC 61850, IEC standards, impact analysis, industrial automation engineering, power engineering computing, power system faults, power system reliability, power system security, random component failures, reliability theory, risk analysis, SCADA systems, security, security risk analysis methodology, Smart grids, smart power grids, Software, Substations, supply restoration smart grid automation, vulnerability analysis
Abstract

The reliability theory used in the design of complex systems including electric grids assumes random component failures and is thus unsuited to analyzing security risks due to attackers that intentionally damage several components of the system. In this paper, a security risk analysis methodology is proposed consisting of vulnerability analysis and impact analysis. Vulnerability analysis is a method developed by security engineers to identify the attacks that are relevant for the system under study, and in this paper, the analysis is applied on the communications network topology of the electric grid automation system. Impact analysis is then performed through co-simulation of automation and the electric grid to assess the potential damage from the attacks. This paper makes an extensive review of vulnerability and impact analysis methods and relevant system modeling techniques from the fields of security and industrial automation engineering, with a focus on smart grid automation, and then applies and combines approaches to obtain a security risk analysis methodology. The methodology is demonstrated with a case study of fault location, isolation and supply restoration smart grid automation.

URLhttps://ieeexplore.ieee.org/document/6864877/
DOI10.1109/ISIE.2014.6864877
Citation Key6864877