Resilient control of multi-microgrids against false data injection attack

a multi-microgrid system, including several microgrids and distributed energy resources, is always threatened by numbers of faults and attacks as a consequence of which malfunctioning can occur on a large scale. Thus, minimizing the effects of such disruptions is of paramount importance. This paper addresses the problem of mitigating a multi-microgrid system that faces false data injection and replay attacks by considering the multi-microgrid as a multi-agent system in which each microgrid as an agent represents a node in a weighted directed graph. The problem of consensus among normal agents is studied when microgrids and their communications are attacked. The malicious agents become isolated with the help of Weighted Mean Subsequence Reduced (W-MSR) algorithms in which all normal agents neglect the extreme values received from their neighbors. The proposed controller is able to maintain the system's desired performance when false data is injected into the system, or valid data is received with time-delays. Finally, numerical examples and simulation results are provided. (C) 2020 ISA. Published by Elsevier Ltd. All rights reserved.

Automated summary

This paper addresses the issue of mitigating false data injection and replay attacks in a multi-microgrid system by treating the microgrids as a multi-agent system and using weighted directed graphs to handle malicious attacks. The proposed algorithm helps isolate malicious agents, maintain consensus among normal agents, and sustain system performance in cases of data injection or delayed data reception.