Adaptive Resilient Control of AC Microgrids under Unbounded Actuator Attacks

Shan Zuo (), Yi Zhang and Yichao Wang
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Shan Zuo: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA
Yi Zhang: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA
Yichao Wang: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA

Energies, 2022, vol. 15, issue 20, 1-13

Abstract: Existing secondary control methods using fault-tolerant and/or H ∞ control techniques for multi-inverter microgrids generally assume bounded faults and/or disturbances. Herein, we study unknown unbounded attacks on the input channels of both frequency and voltage control loops of inverters that could deteriorate the cooperative performance and affect the microgrid stability. We propose a fully distributed attack-resilient control framework using adaptive control techniques that, using stability analysis with Lyapunov techniques, are shown to preserve the uniformly ultimately bounded consensus for frequency regulation and voltage containment. Moreover, the ultimate bound can be set by adjusting the tuning parameters. The proposed result is validated for a modified IEEE 34-bus test feeder benchmark system augmented with four inverters.

Keywords: containment; inverters; microgrids; resilience; unbounded attacks (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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