Cyberattack Detection for Converter-Based Distributed dc Microgrids : Observer-Based Approaches
Abstract
DC microgrids are complex systems connecting various renewable energy sources to different types of loads based on distributed networks. However, the strong reliance on communication networks makes dc microgrids vulnerable to intentional cyberattacks. In this article, two typical types of observer-based approaches are presented to address the attack detection problem for distributed dc microgrid systems. The disturbance decoupling approach is utilized to eliminate the influence of unknown load conditions and the coupling effect between distributed generation units (DGUs) to the residuals. The proposed method is easy to design and has less computational complexity. The performance of the provided scheme is validated by a dSPACE-based dc microgrid platform.
Info
Journal Article, 2022
UN SDG Classification
DK Main Research Area
Science/Technology
