Data underlying the publication: Fundamental study on the influence of dynamic load and distributed energy resources on power system short-term voltage stability

doi: 10.4121/3e9d2924-d43f-4484-9e9b-748d53ff8a4e.v1
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: 10.4121/3e9d2924-d43f-4484-9e9b-748d53ff8a4e
Datacite citation style:
Boricic, Aleksandar (2023): Data underlying the publication: Fundamental study on the influence of dynamic load and distributed energy resources on power system short-term voltage stability. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3e9d2924-d43f-4484-9e9b-748d53ff8a4e.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

STVS method is utilized to analyze the impact of distributed energy resources and dynamic load on power system stability. The repository contains the publication, code, explanation, and the model that can be used.

history
  • 2023-12-01 first online, published, posted
publisher
4TU.ResearchData
format
Python (.py), PowerFactory (.pfd), and Adobe (.pdf)
funding
  • NWO
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Electrical Sustainable Energy, Intelligent Electrical Power Grids Group

DATA

files (3)