Deception Attack Detection of Isolated DC Microgrids Under Consensus- Based Distributed Voltage Control Architecture

Abstract

A consensus-based distributed voltage control architecture of isolated DC microgrids (MGs) with deception attack awareness is investigated in this paper. Firstly, a fully distributed voltage control algorithm with only adjacent information sharing is proposed by expanding the consensus-based distributed algorithm in AC MGs. To further enhance the ability of deception attack detection in the associated cyber network, an analytical consistency-based anomaly detection mechanism is also developed by manipulating primal variables and dual variables associated with the proposed distributed voltage control algorithm. Strategies for detecting either individual or stealthy false-data injection attacks on both links and nodes of the associated communication network against the distributed consensus-based droop control of DC MGs are investigated. Numerical experiments of a DC MG on real-time simulators are performed to validate the efficacy of the proposed deception attack detection mechanism.