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Iranian Journal of Electrical and Electronic Engineering، جلد ۱۶، شماره ۳، صفحات ۲۷۹-۲۹۱
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عنوان انگلیسی An Effective Attack-Resilient Kalman Filter-Based Approach for Dynamic State Estimation of Synchronous Machine
چکیده انگلیسی مقاله Kalman filtering has been widely considered for dynamic state estimation in smart grids. Despite its unique merits, the Kalman Filter (KF)-based dynamic state estimation can be undesirably influenced by cyber adversarial attacks that can potentially be launched against the communication links in the Cyber-Physical System (CPS). To enhance the security of KF-based state estimation, in this paper, the basic KF-based method is enhanced by incorporating the dynamics of the attack vector into the system state-space model using an observer-based preprocessing stage. The proposed technique not only immunizes the state estimation against cyber-attacks but also effectively handles the issues relevant to the modeling uncertainties and measurement noises/errors. The effectiveness of the proposed approach is demonstrated by detailed mathematical analysis and testing it on two well-known IEEE cyber-physical test systems.
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نویسندگان مقاله | Z. Kazemi
Advanced Control Laboratory, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.


| A. A. Safavi
Advanced Control Laboratory, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-3257-1&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Phasor Measurement Unit (PMU) Systems
نوع مقاله منتشر شده Research Paper
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