基于博弈论的负荷重分配攻击风险评估模型

doi:10.3969/j.issn.1008-0198.2024.02.001

湖南电力 ›› 2024, Vol. 44 ›› Issue (2): 1-8.doi: 10.3969/j.issn.1008-0198.2024.02.001

• 研究与试验 • 下一篇

基于博弈论的负荷重分配攻击风险评估模型

于孟希¹, 严宇¹, 周展帆¹, 杜敏², 王炼红²

1.国网湖南省电力有限公司超高压变电公司,湖南长沙 410004;
2.湖南大学电气与信息工程学院,湖南长沙 410082

收稿日期:2023-12-07 修回日期:2024-01-03 出版日期:2024-04-25 发布日期:2024-05-14
通信作者: 杜敏 (1994),男,博士研究生在读,研究方向为网络安全、信息物理安全、电力系统经济运行和新能源调度。
作者简介:于孟希(1990),女,硕士,研究方向为电力系统自动化。
严宇(1986),男,博士,正高级工程师,研究方向为智能作业技术、电力机器人。
周展帆(1993),女,硕士,研究方向为电力系统自动化、电力机器人。
王炼红 (1971),女,博士,副教授,研究方向为网络安全、信息处理、图像处理。
基金资助:
国家自然科学基金项目(62377010);国家重点研发计划项目(2019YFE0105300)

Risk Assessment Model for Load Redistribution Attacks Based on Game Theory

YU Mengxi¹, YAN Yu¹, ZHOU Zhanfan¹, DU Min², WANG Lianhong²

1. State Grid Hunan Extra High Voltage Substation Company, Changsha 410004, China;
2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Received:2023-12-07 Revised:2024-01-03 Online:2024-04-25 Published:2024-05-14

摘要/Abstract

摘要： 为了评估网络攻击风险,基于博弈论的方法构建负荷重分配攻击风险的双层评估模型。对虚假数据攻击和负荷重分配攻击进行介绍,并基于博弈论的方法构建负荷重分配攻击风险的双层优化模型。采用KKT条件将双层优化模型转化为单层线性规划模型,并在IEEE 14节点系统和IEEE 30节点系统上进行仿真实验分析,以评估电力系统负荷重分配攻击风险。最后就如何预防和抵御负荷再分配攻击提供了建议。

关键词: 电力系统, 负荷重分配攻击, 网络安全, 博弈论, KKT

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

中图分类号:

TM714

于孟希, 严宇, 周展帆, 杜敏, 王炼红. 基于博弈论的负荷重分配攻击风险评估模型[J]. 湖南电力, 2024, 44(2): 1-8.

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.

参考文献

[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.

基于博弈论的负荷重分配攻击风险评估模型

Risk Assessment Model for Load Redistribution Attacks Based on Game Theory

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