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False data injection against state estimation in power systems with multiple cooperative attackers

机译:具有多个合作攻击者的电力系统中的假数据注射

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摘要

Given the strong cyber-physical interactions in today's smart grid, false data injection (FDI) attack can readily mislead the state estimation and influence the system operation by manipulating meter measurements. In this paper, a new FDI attack strategy is considered where multiple attackers cooperatively launch an unobservable attack. Firstly, the entire transmission system is partitioned into several subsystems, with each attacker only acquiring and manipulating the measurements in its local area. With limited communications among neighboring attackers, all of them can successfully modify the estimated states without being detected. In addition, by taking practical constraints into account, a least-effort attack problem is formulated and subsequently solved by a distributed alternating direction method of multipliers (ADMM)-based approach. Several case studies implemented on a 4-bus and IEEE 118-bus power systems have finally demonstrated the effectiveness of the proposed approach in the scenario of multiple attackers. (c) 2020 ISA. Published by Elsevier Ltd. All rights reserved.
机译:鉴于当今智能电网的强大网络物理交互,假数据注入(FDI)攻击可以容易地误导状态估计并通过操纵仪表测量来影响系统操作。在本文中,考虑了新的外国直接投资攻击策略,其中多个攻击者协同发布不可观察的攻击。首先,整个传输系统被划分为多个子系统,每个攻击者仅获取和操纵其本地区域的测量。在邻近攻击者之间的通信有限,所有这些都可以在不检测的情况下成功修改估计的状态。另外,通过考虑实际的限制,通过乘法器(ADMM)的分布交替方向方法来制定最小努力攻击问题并随后解决了乘法器(ADMM)的方法。在4公交车和IEEE 118总线电力系统上实施的几个案例研究最终展示了在多个攻击者的情况下提出了建议方法的有效性。 (c)2020 ISA。 elsevier有限公司出版。保留所有权利。

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