2016
DOI: 10.1109/tsg.2015.2466611
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A DER Attack-Mitigation Differential Game for Smart Grid Security Analysis

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Cited by 62 publications
(41 citation statements)
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“…Traditionally, researchers have focused on modeling and analyzing the impact of CPTs on various functions and components of the SG system [5][6][7][8][9] [18][19]. Sanjab et al [10] defined threats targeting the SG infrastructure, challenges involved in the understanding of CPAs and defensive strategies against such attacks.…”
Section: Related Workmentioning
confidence: 99%
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“…Traditionally, researchers have focused on modeling and analyzing the impact of CPTs on various functions and components of the SG system [5][6][7][8][9] [18][19]. Sanjab et al [10] defined threats targeting the SG infrastructure, challenges involved in the understanding of CPAs and defensive strategies against such attacks.…”
Section: Related Workmentioning
confidence: 99%
“…Neuman and Tan [8] described different types of CPAs and how they propagate from cyber to the physical domain and vice versa. Srikantha and Deepa [5] formulated a differential game that describes stealthy strategies for attackers to disrupt transient stability by leveraging control over Distributed Energy Resources (DERs). Researchers in [6] demonstrated an optimal attack scenario using false data injection attacks on Automatic Generation Control (AGC) functionality of the SG system.…”
Section: Related Workmentioning
confidence: 99%
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“…Forouzandehmehr established a differential game model to describe the competition and interaction between hydropower plants and thermal power plants, so as to optimize power generation and power storage. Srikantha and Kunder used the differential game theory to study the mitigation capability of a smart grid system against network attack and proved the possibility of smart grid with stronger resilience under network attack . In the above researches of differential game, the main focus was still on the user's response to the electricity price without considering how the electricity retailer attracted users, while the electricity retailer adjusted the price according to user's optimal power load.…”
Section: Introductionmentioning
confidence: 99%