Contingency Analysis to Evaluate the Robustness in Large-Scale Smart Grids: Based on Information Security Objectives and Frequency Stability

Pil-Sung Woo and Balho H. Kim
Additional contact information
Pil-Sung Woo: Electrical Safety Research Institute, Korea Electrical Safety Coporation, Seoul 55365, Korea
Balho H. Kim: Department of Electronic and Electrical Engineering, Hongik University, Seoul 04066, Korea

Energies, 2020, vol. 13, issue 23, 1-13

Abstract: Smart grids (SGs) are attracting attention as high value-added platforms, which mass-produce new business models through real-time information sharing. However, the open-ended information structure of SGs increases the risk of exposure to cyberattacks through the creation of multiple communication access points. In a power system where a real-time balance of supply and demand is essential, cyberattacks result in cascading failures leading to power outages. Therefore, this paper proposes a method to evaluate the robustness of large-scale SGs against cybersecurity disturbances. The proposed evaluation method established a hierarchy quantification technique considering the structural characteristics of SGs. With respect to the cyber hierarchy, relevant standards (NERC CIP, NIST FIPS) were applied to classify the grades of information security risk. In the case of physical hierarchy, the power system was calculated by using optimal power flow and analyzed the frequency stability. This study was aimed at identifying the vulnerabilities in the physical topology aspect of intelligent power systems due to cybersecurity disturbances.

Keywords: smart grid; cybersecurity; information security; NERC CIP; NIST FIPS; optimal power flow; contingency analysis; frequency stability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/23/6267/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/23/6267/ (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:jeners:v:13:y:2020:i:23:p:6267-:d:452383

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

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