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Event-triggered attack detection and identification in power-electronics-based DC microgrid
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  • Sicheng Gong ,
  • Tomislav Dragicevic ,
  • Nenad Mijatovic ,
  • Zhe Zhang
Sicheng Gong
Eindhoven University of Technology

Corresponding Author:[email protected]

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Tomislav Dragicevic
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Nenad Mijatovic
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Zhe Zhang
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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.
01 May 2023Published in IEEE Internet of Things Journal volume 10 issue 9 on pages 7554-7567. 10.1109/JIOT.2022.3220182