Intelligent Anomaly Mitigation in Cyber-Physical Inverter-based Systems Article Swipe

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Asad Ali Khan , Omar Ali Beg , Sara Ahmed ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1109/ecce47101.2021.9595599

The distributed cooperative controllers for inverter-based systems rely on communication networks that make them vulnerable to cyber anomalies. In addition, the distortion effects of such anomalies may also propagate throughout inverter-based cyber-physical systems due to the cooperative cyber layer. In this paper, an intelligent anomaly mitigation technique for such systems is presented utilizing data driven artificial intelligence tools that employ artificial neural networks. The proposed technique is implemented in secondary voltage control of distributed cooperative control-based microgrid, and results are validated by comparison with existing distributed secondary control and real-time simulations on real-time simulator OPAL-RT.

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Artificial Intelligence

Electrical Engineering

Physics

Amplifier

Condensed Matter Physics

Concepts

Microgrid Cyber-physical system Inverter Computer science Artificial neural network Anomaly detection Anomaly (physics) Control (management) Distortion (music) Distributed computing Real-time computing Engineering Computer network Voltage Artificial intelligence Electrical engineering Physics Operating system Amplifier Condensed matter physics Bandwidth (computing)

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1109/ecce47101.2021.9595599
OA Status: green
Cited By: 2
References: 24
Related Works: 20
OpenAlex ID: https://openalex.org/W3173616625

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DOI: https://doi.org/10.1109/ecce47101.2021.9595599

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Title: Intelligent Anomaly Mitigation in Cyber-Physical Inverter-based Systems

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Type: preprint

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Language: en

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Publication year: 2021

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Publication date: 2021-10-10

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Authors: Asad Ali Khan, Omar Ali Beg, Sara Ahmed

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Landing page: https://doi.org/10.1109/ecce47101.2021.9595599

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OA URL: https://arxiv.org/pdf/2107.00151

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Concepts: Microgrid, Cyber-physical system, Inverter, Computer science, Artificial neural network, Anomaly detection, Anomaly (physics), Control (management), Distortion (music), Distributed computing, Real-time computing, Engineering, Computer network, Voltage, Artificial intelligence, Electrical engineering, Physics, Operating system, Amplifier, Condensed matter physics, Bandwidth (computing)

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Cited by: 2

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Citations by year (recent): 2022: 2

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References (count): 24

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