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 - 10:41
DOI:: 10.21227/fwgj-7s86
Data Format:: *.csv *.mat
Links:: Institute of energy systems

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Categories:

Keywords:

Hardware independent software

Voltage control

Congestion Management

Redispatch

optimal power flow

Model Predictive Control.

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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.