IoT-enabled distributed cyber-attacks on transmission and distribution grids
IoT-enabled distributed cyber-attacks on transmission and distribution grids
复制标题
基于物联网的输配电网络分布式网络攻击
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
S. Garg
中科院分区：
文献类型：
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作者：
Y. Dvorkin;S. Garg
物联网（IoT）将使互联并同时控制分布式电力负载成为可能。人们提出了各种技术和监管问题，即物联网操作的负载正在部署，而没有适当考虑和系统地解决潜在的网络安全挑战。因此，人们可以设想一种假设的场景，即物联网控制的负载的集合可以被恶意攻击，从而损害电网的运行。在这种情况下，攻击者将使用地理上分布的物联网控制的负载，以可能破坏正常电网运行的方式将其净功率注入电网。本文提出了一个建模框架来分析分布式网络攻击对物联网控制负载的影响。该框架用于演示假设的分布式网络攻击如何从预计安装物联网控制负载的配电网传播到输电网。配电网和输电网之间的技术经济相互作用占通过双层优化。案例研究进行了修改后的版本的3区域IEEE可靠性测试系统（RTS）和IEEE 13节点配电馈线。我们的数值结果表明，此类攻击的严重程度取决于物联网控制负载的渗透水平和攻击者的策略。
The Internet of things (IoT) will make it possible to interconnect and simultaneously control distributed electrical loads. Various technical and regulatory concerns have been raised that IoT-operated loads are being deployed without appropriately considering and systematically addressing potential cyber-security challenges. Hence, one can envision a hypothetical scenario when an ensemble of IoT-controlled loads can be hacked with malicious intentions of compromising operations of the electrical grid. Under this scenario, the attacker would use geographically distributed IoT-controlled loads to alternate their net power injections into the electrical grid in such a way that may disrupt normal grid operations. This paper presents a modeling framework to analyze grid impacts of distributed cyber-attacks on IoT-controlled loads. This framework is used to demonstrate how a hypothetical distributed cyber-attack propagates from the distribution electrical grid, where IoT-controlled loads are expected to be installed, to the transmission electrical grid. The techno-economic interactions between the distribution and transmission electrical grids are accounted for by means of bilevel optimization. The case study is carried out on the modified versions of the 3-area IEEE Reliability Test System (RTS) and the IEEE 13-bus distribution feeder. Our numerical results demonstrate that the severity of such attacks depends on the penetration level of IoT-controlled loads and the strategy of the attacker.