Impact of optimal false data injection attacks on local energy trading in a residential microgrid
作者： Shama N. Islam , M.A. Mahmud , A.M.T. Oo
DOI: 10.1016/J.ICTE.2018.01.015
关键词:
摘要: Abstract This paper illustrates the vulnerability of local energy trading to false data injection attacks in a smart residential microgrid and demonstrates impact such on financial benefits earned by participants. In market, attacker can overhear generation consumption patterns legitimate participants based this, optimize its attack signal achieve maximum either as buyer/seller, while balancing supply–demand remain undetected. For system, we have formulated an optimization problem at attacker, extract possible from The numerical results show that causes significant losses participants, up reduction 94% certain hours.
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