Microgrids
One of the major challenges of microgrid systems is the lack of comprehensive Intrusion Detection System (IDS) datasets specifically for realistic microgrid systems' communication. To address the unavailability of comprehensive IDS datasets for realistic microgrid systems, this paper presents a UNSW-MG24 dataset based on realistic microgrid testbeds. This dataset contains synthesized benign network traffic from different campus departments, network flow of attack activities, system call traces, and microgrid-specific data from an integrated Festo LabVolt microgrid system.
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This is the snapshot of the directories included in this dataset, which are load, price, pv, and wind. Within each directory, there is an .xlsx file that list the detailed data in that category. These data are used in an article titled "Consensus-based distributed reinforcement learning with primal-dual update for networked microgrids on-line coordination."
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Smart grid technologies are deepening the interdependence of electric power and communication systems, but that interdependence is difficult to quantify. In the case of microgrids, communication systems can be essential to maintaining stability during islanded operations. Though many power system studies assume the presence of perfect communication networks, detailed modelling of power and communication systems for dynamic studies of microgrids is rare.
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