Dynamic State Estimation under Cyber Attacks: A Comparative Study of\n Kalman Filters and Observers

2015/08/28 by Ahmad F. Taha, Taha, Ahmad F., Junjian Qi +5
Engineering · Physics and Astronomy · #FOS: Electrical engineering #FOS: Mathematics #Magnetic confinement fusion research #Optimization and Control (math.OC) #Power System Optimization and Stability #Smart Grid Security and Resilience #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1508.07252

openalex publication_date 2015/08/28 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28

Abstract

Utilizing highly synchronized measurements from synchrophasors, dynamic state\nestimation (DSE) can be applied for real-time monitoring of smart grids.\nConcurrent DSE studies for power systems are intolerant to unknown inputs and\npotential attack vectors --- a research gap we will fill in this work.\nParticularly, we (a) present an overview of concurrent estimation techniques,\nhighlighting key deficiencies, (b) develop DSE methods based on cubature Kalman\nfilter and dynamic observers, (c) rigorously examine the strengths and\nweaknesses of the proposed methods under attack-vectors and unknown inputs, and\n(d) provide comprehensive recommendations for DSE. Numerical results and\nin-depth remarks are also presented.\n

Citations

• Cubature Kalman Filters
• Unscented Filtering and Nonlinear Estimation

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