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Cyber-Vulnerability Analysis for Real-Time Power Market Operation

Journal Article · · IEEE Transactions on Smart Grid
 [1];  [2]
  1. University of Tennessee, Knoxville, TN (United States); Raytheon Technologies Research Center
  2. University of Tennessee, Knoxville, TN (United States)
With the rapid advancement and integration of communication and sensor technologies, power system operation is becoming more vulnerable to cyberattacks, particularly attacks in which malicious data could induce catastrophic consequences on market operations. Financial risks, as well as the potential physical damages, raise growing concerns about the reliable operation of the electricity market. Existing market-targeting cybersecurity research has focused on developing attack strategies or detection schemes. However, the lack of cyber-vulnerability analysis (CVA) hinders operators from systematically evaluating the real-time (RT) market-clearing model and identifying potential threats from a cybersecurity perspective. This paper proposes a comprehensive CVA model for delivering a detailed analysis of four aspects of vulnerability: highly probable cyberattack targets, devastating attack targets, risky load levels, and mitigation ability under different degrees of defense. Users can simulate interactions between attackers and defending operators under different attack events, and the corresponding market settlements are also obtained. The proposed bi-level model is recast into mixed-integer linear programming through Karush–Kuhn–Tucker (KKT) conditions. Here, a simulation study on an IEEE-30 bus system demonstrates the accuracy and effectiveness of the proposed CVA model.
Research Organization:
Raytheon Technologies Research Center, Arlington, VA (United States)
Sponsoring Organization:
USDOE Office of Cybersecurity, Energy Security, and Emergency Response (CESER)
Grant/Contract Number:
OE0000899
OSTI ID:
2217148
Alternate ID(s):
OSTI ID: 1850605
Journal Information:
IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 4 Vol. 12; ISSN 1949-3053
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

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