Cyber Security Considerations for Self-healing Smart Grid Networks

Jaatun, Martin Gilje; Moe, Marie Elisabeth Gaup; Nordbø, Per Erik

doi:10.1109/cybersecpods.2018.8560668

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…Fault Localization, Isolation and Service Restoration (FLISR or self-healing) [16] enables disconnection of transmission or distribution segments with errors, and automatic reconfiguration of the grid to minimize the number of segments left without power. The self-healing function is maliciously manipulated either by providing false data preventing correct self-healing in the face of an outage, or by providing false data during normal operations resulting in an outage due to unneeded self-healing operations.…”

Section: Malicious Manipulation Of the Flisr (Self-healing) Functiona...mentioning

confidence: 99%

What Could Possibly Go Wrong? Smart Grid Misuse Case Scenarios

Tøndel

Borgaonkar

Jaatun

et al. 2020

2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)

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The modernisation of the power grid is ongoing, and the level of digitalisation of the power grid in, say, ten years may be quite different than today. Cyber security needs will change correspondingly. In this paper we utilise a qualitative research approach to explore misuse cases related to three main areas of modernisation that we envision for the next ten year period: 1) managing flexibility in the TSO-DSO relation, 2) smart distribution grids, and 3) microgrids. The misuse cases represent potential security challenges to be considered when working on modernising the grid, however they are not exhaustive. The misuse cases presented in this paper can contribute to identifying security requirements, thus reducing associated cyber risks, and assist in development of new cyber security mechanisms for the next-generation power grid employing digitally-connected, selfhealing, and automation characteristics.

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Section: Malicious Manipulation Of the Flisr (Self-healing) Functiona...mentioning

confidence: 99%

What Could Possibly Go Wrong? Smart Grid Misuse Case Scenarios

Tøndel

Borgaonkar

Jaatun

et al. 2020

2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)

View full text Add to dashboard Cite

show abstract

“…In contrast, distributed approaches involve limited data exchange between local controllers, and decentralized approaches have local controllers that operate solely based on local information. While capable of identifying high-quality solutions to the network reconfiguration problem, centralized approaches require significant amounts of data and communication infrastructure, can be slow to execute, and introduce single points of failure and cybersecurity concerns [30]. In contrast, distributed and decentralized approach can operate more quickly, do not have a single point of failure, and can have advantages in terms of cybersecurity, but may not always reach the optimal solution computed by a centralized approach.…”

Section: Introductionmentioning

confidence: 99%

Fair and Reliable Reconnections for Temporary Disruptions in Electric Distribution Networks using Submodularity

Hettle¹,

Gupta²,

Molzahn³

2021

Preprint

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We analyze a distributed approach for automatically reconfiguring distribution systems into an operational radial network after a fault occurs by creating an ordering in which switches automatically close upon detection of a downstream fault. The switches' reconnection ordering significantly impacts the expected time to reconnect under normal disruptions and thus affects reliability metrics such as SAIDI and CAIDI, which are the basis for regulator-imposed financial incentives for performance.We model the problem of finding a switch reconnection ordering that minimizes SAIDI and the expected reconnection time as Minimum Reconnection Time (MRT), which we show is a special case of the well-known minimum linear ordering problem [29] from the submodular optimization literature, and in particular the Min Sum Set Cover problem (MSSC) [19]. We prove that MRT is also NP-hard.We generalize the kernel-based rounding approaches of Bansal et al. [5] for Min Sum Vertex Cover to give tight approximation guarantees for MSSC on c-uniform hypergraphs for all c. For all instances of MSSC, our methods have a strictly better approximation ratio guarantee than the best possible methods for general MSSC.Finally, we consider optimizing multiple metrics simultaneously using local search methods that also reconfigure the system's base tree to ensure fairness in service disruptions and reconnection times and reduce energy loss. We computationally validate our approach on the NREL SMART-DS Greensboro synthetic urban-suburban network. We evaluate the performance of our reconfiguration methods and show significant reductions compared to single-metric-based optimizations.

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