In:
Concurrency and Computation: Practice and Experience, Wiley, Vol. 34, No. 7 ( 2022-03-25)
Abstract:
The evolution of the traditional power system toward the modern smart grid has posed many new cybersecurity challenges to this critical infrastructure. One of the most dangerous cybersecurity threats is the false data injection (FDI) attack, especially when it is capable of completely bypassing the widely deployed bad data detector of state estimation (SE) and interrupting the normal operation of the power system. Most of the simulated FDI attacks are designed using a simplified linearized DC model, while most of the industry‐standard SE systems are based on the nonlinear AC model. In this article, a comprehensive FDI attack scheme is presented based on the nonlinear AC model. A case study of the nine‐bus Western System Coordinated Council (WSCC)'s power system is provided, using an industry‐standard package to assess the outcomes of the proposed design scheme. A public FDI dataset is generated as a test set for the community to develop and evaluate new detection algorithms, which are lacking in the field. The FDI's stealthy quality of the dataset is assessed and proven through a preliminary analysis based on both physical power law and statistical analysis.
Type of Medium:
Online Resource
ISSN:
1532-0626
,
1532-0634
Language:
English
Publisher:
Wiley
Publication Date:
2022
detail.hit.zdb_id:
2052606-4
SSG:
11
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