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CFDI: Coordinated false data injection attack in active distribution network

The active distribution network (ADN) can obtain measurement data, estimate system states, and control distributed energy resources (DERs) and flexible loads to ensure voltage stability. However, the ADN is more vulnerable to cyber attacks due to the recent wave of digitization and automation effort...

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Bibliographic Details
Published in:IET generation, transmission & distribution transmission & distribution, 2024-08, Vol.18 (15), p.2556-2569
Main Authors: Liu, Yang, Yang, Chenyang, Yu, Nanpeng, Wang, Jiazhou, Tian, Jue, Huang, Hao, Zhou, Yadong, Liu, Ting
Format: Article
Language:English
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Summary:The active distribution network (ADN) can obtain measurement data, estimate system states, and control distributed energy resources (DERs) and flexible loads to ensure voltage stability. However, the ADN is more vulnerable to cyber attacks due to the recent wave of digitization and automation efforts. In this article, false data injection (FDI) attacks are focused on and they are classified into two types, that is, type I attacks on measurement data and type II attacks on control commands. After studying the impact of these two FDI attacks on the ADN, a new threat is revealed called coordinated FDI attack, which can maximize the voltage deviation by coordinating type I and type II FDI attacks. From the attacker's perspective, the scheme of CFDI is proposed and an algorithm is developed to find the optimal attack strategy. The feasibility of CFDI attacks has been validated on a smart distribution testbed. Moreover, simulation results on an ADN benchmark have demonstrated that CFDI attacks could cause remarkable voltage deviation that may deteriorate the stability of the distribution network. Moreover, the impact of CFDI attacks is higher than pure type I or type II attacks. To mitigate the threat, some countermeasures against CFDI attacks are also proposed. In this article, we focus on false data injection (FDI) attacks on the active distribution network and classify them into two types, that is, type I attacks on measurement data and type II attacks on control commands. Then, we reveal a new threat called coordinated FDI attacks, which can maximize the voltage deviation by coordinating type I and type II FDI attacks together. Experimental results have demonstrated the feasibility of CFDI attacks and showed that CFDI attacks could cause remarkable voltage deviation that may deteriorate the stability of the distribution network.
ISSN:1751-8687
1751-8695
DOI:10.1049/gtd2.13217