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100 ms-Resolution Electrical Measurement Dataset of an OLTC-Induced Voltage Fluctuation Anomaly Across 0.4 kV, 20 kV, and 110 kV Networks with Diverse Loads and Distributed Energy Resources

Moster, Peter 1; Beichter, Sebastian ORCID iD icon 1; Dorn, Marvin ORCID iD icon 1; Reckel, Jan Martin ORCID iD icon 1; Wachter, Jan Lukas ORCID iD icon 1; Jakel, Denis 1; Jumar, Richard ORCID iD icon 1; Wiegel, Friedrich ORCID iD icon 1; Waczowicz, Simon ORCID iD icon 1; Hagenmeyer, Veit ORCID iD icon 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

This dataset contains electrical measurements collected from the energy infrastructure of KIT Campus North to investigate an operational voltage regulation anomaly caused by an on-load tap changer (OLTC) in a multi-voltage-level electrical network.

The dataset comprises synchronized measurements at the 110 kV, 20 kV, and 0.4 kV voltage levels. At the 110 kV and 20 kV levels, positive-sequence voltage and current measurements are provided with a temporal resolution of 100 ms. At the 0.4 kV level, three-phase measurements of voltage, current, active power, and reactive power are provided. The low-voltage measurements cover different types of loads and distributed energy resources, including heat pumps, photovoltaic systems, and electric vehicle charging.

The measurements capture the system behavior before, during, and after an operational anomaly in the OLTC voltage regulation system. During the anomaly, the downstream voltage exhibited recurring step-like fluctuations with a characteristic interval of approximately 30 s. The anomaly was associated with inconsistent OLTC regulation commands and was subsequently traced to increased contact resistance in the resistor-type tap selector mechanism. ... mehr


Originalveröffentlichung
DOI: 10.5281/zenodo.22826984
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Forschungsdaten
Publikationsjahr 2026
Identifikator KITopen-ID: 1000198134
HGF-Programm 37.12.03 (POF IV, LK 01) Smart Areas and Research Platforms
Lizenz Creative Commons Namensnennung 4.0 International
Art der Forschungsdaten Dataset
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