2017/06/22 by Yury Dvorkin, Siddharth Garg, Dvorkin, Yury +1
Computer Science · Engineering · #Blockchain Technology Applications and Security #Electricity Theft Detection Techniques #FOS: Electrical engineering #Smart Grid Security and Resilience #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1706.07485
openalex publication_date 2017/06/22 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
The Internet of things (IoT) will make it possible to interconnect and\nsimultaneously control distributed electrical loads. Various technical and\nregulatory concerns have been raised that IoT-operated loads are being deployed\nwithout appropriately considering and systematically addressing potential\ncyber-security challenges. Hence, one can envision a hypothetical scenario when\nan ensemble of IoT-controlled loads can be hacked with malicious intentions of\ncompromising operations of the electrical grid. Under this scenario, the\nattacker would use geographically distributed IoT-controlled loads to alternate\ntheir net power injections into the electrical grid in such a way that may\ndisrupt normal grid operations.\n This paper presents a modeling framework to analyze grid impacts of\ndistributed cyber-attacks on IoT-controlled loads. This framework is used to\ndemonstrate how a hypothetical distributed cyber-attack propagates from the\ndistribution electrical grid, where IoT-controlled loads are expected to be\ninstalled, to the transmission electrical grid. The techno-economic\ninteractions between the distribution and transmission electrical grids are\naccounted for by means of bilevel optimization. The case study is carried out\non the modified versions of the 3-area IEEE Reliability Test System (RTS) and\nthe IEEE 13-bus distribution feeder. Our numerical results demonstrate that the\nseverity of such attacks depends on the penetration level of IoT-controlled\nloads and the strategy of the attacker.\n