Voltage Stability Constrained Moving Target Defense Against Net Load Redistribution Attacks

Voltage Stability Constrained Moving Target Defense Against Net Load Redistribution Attacks
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DOI:
10.1109/tsg.2022.3170839
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发表时间:
2022-09
影响因子:
9.6
通讯作者:
Hang Zhang;Bo Liu;Xuebo Liu;A. Pahwa;Hongyu Wu
Hang Zhang;Bo Liu;Xuebo Liu;A. Pahwa;Hongyu Wu
中科院分区:
工程技术1区
文献类型:
--
作者:
Hang Zhang;Bo Liu;Xuebo Liu;A. Pahwa;Hongyu Wu

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基于分布式柔性交流输电系统(D-FACTS)的移动目标防御(MTD)是一种有效的防御策略,可有效检测针对电力系统状态估计的虚假数据注入(FDI)攻击。然而,所有现有的研究都短视地扰动D-FACTS线路的电抗,而不考虑系统的电压稳定性。在本文中,我们首先说明在三母线系统中由MTD引起的电压不稳定性。为了解决这个问题,我们进一步提出了一种新的MTD框架,明确考虑系统的电压稳定性,通过使用连续潮流和电压稳定指标。推导了电压稳定指标对线路阻抗的灵敏度矩阵,并在此基础上建立了最大化电压稳定指标的优化问题。该框架在IEEE 14总线和IEEE 118总线传输系统上进行了测试,其中净负载重新分配攻击由复杂的攻击者发起。仿真结果表明,所提出的框架在规避电压不稳定,同时保持MTD的检测效果的有效性。我们在不同的MTD规划和运营方法下进行了有无拟议框架的案例研究。本文还揭示了这两种方法对攻击检测效率和系统经济指标的影响。
Moving target defense (MTD) using distributed flexible AC transmission system (D-FACTS) devices is a promising defense strategy to detect stealthy false data injection (FDI) attacks against the power system state estimation. However, all existing studies myopically perturb the reactance of D-FACTS lines without considering the system voltage stability. In this paper, we first illustrate voltage instability induced by MTDs in a three-bus system. To address this issue, we further propose a novel MTD framework that explicitly considers system voltage stability by using continuation power flow and voltage stability indices. We mathematically derive the sensitivity matrix of voltage stability index to line impedance, on which an optimization problem for maximizing voltage stability index is formulated. This framework is tested on the IEEE 14-bus and the IEEE 118-bus transmission systems, in which net load redistribution attacks are launched by sophisticated attackers. The simulation results show the effectiveness of the proposed framework in circumventing the voltage instability while maintaining the detection effectiveness of MTD. We conduct case studies with and without the proposed framework under different MTD planning and operational methods. The impacts of the proposed two methods on attack detection effectiveness and system economic metrics are also revealed.