Results of trials on Model Predictive Control and Optimal Power Flow and Input Time Series

Citation Author(s):
Thomas
Schwierz
Technical University of Dortmund
Oleksii
Molodchyk
Technical University of Dortmund
Submitted by:
Thomas Schwierz
Last updated:
Wed, 11/13/2024 - 05:41
DOI:
10.21227/fwgj-7s86
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Abstract 

The given data contains the results from laboratory trials related to the paper "Optimizing Congestion Management andEnhancing Resilience in Low-Voltage Grids Using OPF and MPC Control Algorithms Through Edge Computing and IEC 61850 Standards" currently in publication in IEEE Access.

On a given low voltage test grid, state estimations have been executed to determine the system state in a given base scenario. Consequently, Optimal Power Flow and Model Predicitve Control algorithms have been used to cure the congestions as well as follow time varying power flow constraints.

Additionally, the time series of the solar panel in the test grid as well of the resistive load are given.

Instructions: 

Are given in ReadMe.md file

Comments

research

Submitted by Hala Strohmier on Wed, 11/13/2024 - 14:30

Documentation

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