Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29177
Title: Comprehensive review on dynamic state estimation techniques with cybersecurity applications
Authors: Zhou, Z
Zhang, X
Zhang, J
Taylor, G
Keywords: power grids;power system control;power system cyber‐security and privacy;power system management;power system measurement;power system simulation;security of data
Issue Date: 28-May-2024
Publisher: Wiley on behalf of The Institution of Engineering and Technology
Citation: Zhou, Z. et al. (2024) 'Comprehensive review on dynamic state estimation techniques with cybersecurity applications', IET Smart Grid, 0 (ahead of print), pp. 1 - 16. doi: 10.1049/stg2.12168.
Abstract: The role of cybersecurity in cyber-physical power systems (CPPS) is reviewed, focusing on the applications of dynamic state estimation (DSE) techniques. These DSE techniques are particularly relevant with the integration of phasor measurement units (PMUs) and advanced communication infrastructure. A comprehensive review on DSE techniques and applications to efficiently protect CPPS against cyberattacks is classified into three cyber resilience phases including prevention, detection, and mitigation. The DSE techniques in the prevention phase are surveyed to improve the observability of the CPPS by the robust design of the Kalman filter and optimal protection of PMUs. The DSE techniques in the detection phase are surveyed to improve the adaptability of CPPS in various attack detection scenerios and optimise the detection accuracy. The DSE techniques in the mitigation phase are surveyed to enhance the flexibility of CPPS resource utilisation with compensation-based, isolation-based, and scheduling-based strategies. Finally, the benefits and limitations of each DSE technique are summarised with potential suggestions on research directions for enhancing the cyber resilience of CPPS.
Description: Data Availability Statement: Data will be made available for research and non-commercial purpose, and can be requested from the corresponding author.
URI: https://bura.brunel.ac.uk/handle/2438/29177
DOI: https://doi.org/10.1049/stg2.12168
ISSN: 2515-2947
Other Identifiers: ORCiD: Xin Zhang https://orcid.org/0000-0002-6063-959X
ORCiD: Gareth Taylor https://orcid.org/0000-0003-0867-2365
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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