Data underlying the publication: Beyond SCR in Weak Grids: Analytical Evaluation of Voltage Stability and Excess System Strength
DOI:10.4121/82dc74dc-52e5-4da3-8d3f-e64e8a0364e3.v1
The DOI displayed 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: 10.4121/82dc74dc-52e5-4da3-8d3f-e64e8a0364e3
DOI: 10.4121/82dc74dc-52e5-4da3-8d3f-e64e8a0364e3
Datacite citation style:
Boricic, Aleksandar (2023): Data underlying the publication: Beyond SCR in Weak Grids: Analytical Evaluation of Voltage Stability and Excess System Strength. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/82dc74dc-52e5-4da3-8d3f-e64e8a0364e3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Usage statistics
110
views
35
downloads
Licence CC0
The dataset contains a Python code used to mathematically represent and visualize the Excess System Strength (ESS) method, as developed in the corresponding publication. The method is designed to evaluate the strength of a power system, which is necessary for stability analysis and secure operation of power systems, as well as for integration of renewable energy sources. More information can be found in the publication itself.
History
- 2023-12-01 first online, published, posted
Publisher
4TU.ResearchDataFormat
Python (Jupyter Notebook), .ipynbAssociated peer-reviewed publication
Beyond SCR in Weak Grids: Analytical Evaluation of Voltage Stability and Excess System StrengthFunding
- NWO
Organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Electrical Sustainable Energy, Intelligent Electrical Power Grids GroupDATA
Files (1)
- 406,317 bytesMD5:
11139855626ff6094cd6d1baf6b06921
ESS Method Code&Plots.ipynb