The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/08258785-6a33-45f4-ae6f-ce4031b0bf99

Liu, Yigu (2024): Data underlying the dissertation: Synthetic Network Generation and Vulnerability Assessment of Cyber-Physical Power Systems. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/08258785-6a33-45f4-ae6f-ce4031b0bf99.v1

Dataset

• Electrical and Electronic Engineering
• Engineering

cyber-physical power systems, smart grid, synthetic network

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Yigu Liu

This dataset contains the methods of how to generate synthetic networks for cyber-physical power systems (CPS), as well as the method of vulnerability assessment for CPS. The methods containing in the dataset utilize the open access data to generate synthetic network. The generation results can be used as normal testbeds for CPS.

• 2024-09-25 first online, published, posted

4TU.ResearchData

g-zipped shape files

Generating Large-Scale Synthetic Communication Topologies for Cyber–Physical Power Systems

• https://ieeexplore.ieee.org/document/10634994

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Electrical Sustainable Energy