Multilayer Resilience Paradigm Against Cyber Attacks in DC Microgrids

Abstract

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A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems

“…To provide security against these cyber intrusions, many solutions were provided in the past for power electronics systems. To summarize them, a perspective is provided in Figure 16, where data-driven [191][192][193] and physics-informed solutions [194][195][196][197][198] are compared on the basis of accuracy, selectivity, and speed. As shown in Figure 16, in Approach 1, although the historic data of grid-tied PV systems may provide significant knowledge about their intrinsic characteristics to design faster and accurate cybersecurity technologies, they can be prone to failure simply at the data storage platform (cloud storage in Figure 16), where the adversary may malign historic data strategically.…”

Software-Defined Power Grids: A Survey on Opportunities and Taxonomy for Microgrids

“…Here we will discuss the remedial action schemes towards cyberthreats. There has been continuous development of techniques and algorithms in the area of cyberattack detection and mitigation [67]- [71]. We ask how can these techniques benefit from the SDMG paradigm?…”

“…Detection schemes based on heuristic methods [70], algorithmic neural networks [69] and multi-layer approached [68], [71] show get potential for integration in SDMG controllers. Data collected at PDCs can be used to train the proposed neural networks.…”

“…Therefore, local generation through microgrids is key and this is further supported by the push to reduce reliance on nonrenewable energy. Computational resources [69], [70] Multi-layered approach FDI/ DoS Cyber-physical decoupling hardware/software [68], [71] Provision of digital twins FDI Replica computing and control hardware/software [68] Consequently, we see an influx of solar and wind power systems being connected to the main grid. These multiple energy sources result in unbalanced loads and system instability due to intermitency of renewable resources.…”

Vulnerability Identification and Remediation of FDI Attacks in Islanded DC Microgrids Using Multiagent Reinforcement Learning

“…Such intrusions can highly deteriorate the system's performance and even result in unstable conditions and protective circuits tripping under severe cases. Different types of cyberattacks on DC microgrids and their detrimental impacts are studied in the literature including False Data Injection (FDI) [3], Denial Of Service (DOS) [4], Hijacking [5] and Man In the Middle (MIM) [6] attacks.…”