High risk regional load attacks in smart grids

This letter develops a high-risk regional load attack mechanism in smart grids with incomplete network information. Different from previous research, this attack mechanism enables an attacker to launch a regional load attack with network information about an arbitrary attack region, while minimising the deviation in corrupted data to enhance the stealth of this attack. Such an attack only corrupts a limited number of loads while still overloading multiple lines within a targeted attack region, resulting in significant impacts on smart grids. Case studies conducted on two modified IEEE test systems validate the effectiveness of our proposed attack mechanism and pave the foundation for the future development of practical defensive strategies.

Publication Details

Journal
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Published
2025-04-25
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
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article

High risk regional load attacks in smart grids

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Smart Grid Security and Resilience
article

High risk regional load attacks in smart grids

article en

Abstract

This letter develops a high-risk regional load attack mechanism in smart grids with incomplete network information. Different from previous research, this attack mechanism enables an attacker to launch a regional load attack with network information about an arbitrary attack region, while minimising the deviation in corrupted data to enhance the stealth of this attack. Such an attack only corrupts a limited number of loads while still overloading multiple lines within a targeted attack region, resulting in significant impacts on smart grids. Case studies conducted on two modified IEEE test systems validate the effectiveness of our proposed attack mechanism and pave the foundation for the future development of practical defensive strategies.

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Openalex Percentile: Top 45%
Smart Grid Security and Resilience
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High risk regional load attacks in smart grids · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (2025) | TGRS Research Map | TGRS