Risk Assessment Model for Load Redistribution Attacks Based on Game Theory

doi:10.3969/j.issn.1008-0198.2024.02.001

Abstract

Abstract: To assess the risk of cyber-attack,this paper constructs a bilayer assessment model of load redistribution attack risk based on game theory,introduces false data attacks and load redistribution attacks,and constructs a two-layer optimisation model for the risk of load redistribution attacks based on a game-theoretic approach.In addition,this paper uses the KKT condition to transform the bilayer model into a single-level mixed-integer linear programming model,and carries out and analyzes simulation experiments on the IEEE 14-bus system and the IEEE 30-bus system,to assess the risk of load redistribution attacks on the security and economic operation of the power system. In addition,this paper provides suggestion on how to prevent and defend against load redistribution attacks.

Key words: power system, load redistribution attack, cyber-security, game theory, KKT

CLC Number:

TM714

YU Mengxi, YAN Yu, ZHOU Zhanfan, DU Min, WANG Lianhong. Risk Assessment Model for Load Redistribution Attacks Based on Game Theory[J]. Hunan Electric Power, 2024, 44(2): 1-8.

References

[1] LIANG G, ZHAO J, LUO F, et al.A review of false data injection attacks against modern power systems[J]. IEEE Transactions on Smart Grid,2016, 8(4): 1630-1638.
[2] LIANG G, WELLER SR, ZHAO J, et al. The 2015 Ukraine blackout: Implications for false data injection attacks[J]. IEEE transactions on power systems. 2016, 32(4): 3317-3318.
[3] DU M, LIU X, LI Z,et al. Robust mitigation strategy against dummy data attacks in power systems[J]. IEEE Transactions on Smart Grid,2023, 14(4): 3102-3113.
[4] WU K H, LI J W, ZHANG B, et al. Preventive dispatch strategy against FDIA induced overloads in power systems with high wind penetration[J].IEEE Access,2020(8):210452-210461.
[5] LIU Y, NING P, REITER M K. False Data Injection Attacks Against State Estimation in Electric Power Grids[J].ACM Transaction on Information and System Security,2011,14(1):1-33.
[6] MOSLEMI R, MESBAHI A, MOHAMMADPOUR VELNI J. Design of robust profitable false data injection attacks in multi-ettlement electricity markets[J]. IET generation, transmission & distribution,2018, 12(6): 1263-1270.
[7] 张鹏, 熊雅琴, 蹇洁, 等. 基于多目标双层规划的智能电网虚假数据注入攻击研究[J]. 运筹与管理, 2023, 32(1):22-26.
[8] 田猛, 王先培, 董政呈, 等. 基于拉格朗日乘子法的虚假数据攻击策略[J]. 电力系统自动化, 2017, 41(11): 26-32.
[9] ZHANG X L,YANG X Y,LIN J,et al.On false data injection attacks against the dynamic microgrid partition in the smart grid[C]//2015 IEEE International Conference on Communications (ICC),London,UK.IEEE,2015:7222-7227.
[10] 杨清宇, 李东鹤, 蔡远利, 等. 针对电力系统中最优潮流的假数据注入攻击研究[C]//第17届中国系统仿真技术及其应用学术年会论文集 (17th CCSSTA 2016).合肥:中国科学技术大学出版社,2016:35.
[11] TAJER A. False data injection attacks in electricity markets by limited adversaries: Stochastic robustness[J]. IEEE Transactions on Smart Grid,2017,10(1):128-38.
[12] LIU X,LI Z,SHUAI Z.Cyber attacks against the economic operation of power systems:A fast solution[J]. IEEE Transactions on Smart Grid,2016,8(2):1023-5.
[13] 田继伟, 王布宏, 李夏, 等. 基于博弈论的负荷重分配攻击最佳防御策略[J]. 计算机仿真,2018;35(5):123-127.
[14] LIU X, LI Z, LIU X,et al.Masking transmission line outages via false data injection attacks[J]. IEEE Transactions on Information Forensics and Security,2016, 11(7): 1592-1602.
[15] LIU X, LI Z. Trilevel modeling of cyber attacks on transmission lines[J]. IEEE Transactions on Smart Grid,2015, 8(2): 720-729.
[16] TAN Y, LI Y, CAO Y, et al. Cyber-attack on overloading multiple lines: A bilevel mixed-integer linear programming model[J]. IEEE Transactions on Smart Grid,2017, 9(2): 1534-1536.
[17] CHE L, LIU X, LI Z,et al.False data injection attacks induced sequential outages in power systems[J]. IEEE Transactions on Power Systems,2018, 34(2): 1513-1523.
[18] PAZOUKI S, ASRARI A. Attacking energy hubs via manipulating demand response program[C]//2021 IEEE PES/IAS Power Africa,Nairobo,Kenya.IEEE,2021,23:1-5.
[19] ZIMMERMAN RD, MURILLO-SáNCHEZ CE, THOMAS RJ. MATPOWER: Steady-state operations, planning, and analysis tools for power systems research and education[J]. IEEE Transactions on Power Systems,2010, 26(1): 12-19.