作者: Nicanor Quijano , Jairo Alonso Giraldo , Alvaro A. Cárdenas
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摘要: The vulnerability of false data injection attacks on real-time electricity pricing for the power grid market has been recently explored. Previous work focused impact caused by attackers that compromise signals and send prices to a subset consumers. In this paper we extend previous considering more powerful general adversary model, new analysis method based sensitivity functions, proposing several countermeasures can mitigate negative these attacks. Countermeasures include adding low-pass filter signals, selecting time interval between price updates, parameters controller, designing robust control algorithms, detecting anomalies in behavior system.