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Event_triggered_attack_identification_SC_GONG.pdf (1.59 MB)

Event-triggered attack detection and identification in power-electronics-based DC microgrid

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posted on 15.01.2021, 14:08 by Sicheng Gong
This paper proposes a novel event-triggered attack detection mechanism for converter-based DC microgrid system. Under a distributive network framework, each node collects its neighbours' relative data to regulate its own output for local stabilization. Without power line current data, hardly can an agent directly identify the source of unexpected power flow, especially under an organized attack composed of voltage variations and corresponding deceptive messages. In order to recognize traitors who broadcast wrong data, target at system distortion and even splitting, an efficient attack detection and identification strategy is mandatory. After the attack detector is triggered, each relative agent refuses to trust any received data directly before authentication. Through proposed two-step verification by comparing theoretical estimated signals with received ones, both self sensors and neighbour nodes would be inspected, and the attacker was difficult to hide himself. Through simulation on SIMULINK/PLECS and hardware experiments on dSpace Platform, the effectiveness of proposed detection algorithm has been proved.

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Email Address of Submitting Author

s190027@student.dtu.dk

Submitting Author's Institution

Technical University of Denmark

Submitting Author's Country

Denmark

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