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Experimental Investigation of Power-to-Voltage Sensitivity Profiles of Residential Loads for Load Management Studies

Tao, Qiucen ORCID iD icon 1; Courcelle, Maëva ORCID iD icon 1; Geis-Schroer, Johanna ORCID iD icon 2; Leibfried, Thomas 2; Carne, Giovanni De ORCID iD icon 1
1 Institut für Technische Physik (ITEP), Karlsruher Institut für Technologie (KIT)
2 Institut für Elektroenergiesysteme und Hochspannungstechnik (IEH), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

The power-to-voltage sensitivity of a load describes how power consumption depends on changes in voltage magnitude. It is a critical system characteristic used for power system control actions such as conservation voltage reduction and voltage-led load management. Voltage sensitivity depends on the operating state of loads, which can vary over time. However, the time-varying characteristic of voltage sensitivity is often ignored in power system analysis and has been considered as a constant parameter. This paper seeks to contribute to filling this gap by experimentally analyzing the time-varying voltage sensitivity profiles of 21 common residential appliances with a sub-minute time scale resolution, conducted in a 60 m 2 apartment-like laboratory. The obtained sensitivity profiles, provided as an open-access dataset, can be used as building blocks that allow a flexible synthesis of voltage sensitivity profiles for complex aggregated residential loads. In addition to the individual load profiles, a typical daily power profile for a 2-person apartment was experimentally reproduced to study the voltage sensitivity profile of an aggregated residential load.


Verlagsausgabe §
DOI: 10.5445/IR/1000174199
Veröffentlicht am 16.09.2024
Originalveröffentlichung
DOI: 10.1109/TPWRD.2024.3457578
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Elektroenergiesysteme und Hochspannungstechnik (IEH)
Institut für Technische Physik (ITEP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 0885-8977, 1937-4208
KITopen-ID: 1000174199
HGF-Programm 37.12.03 (POF IV, LK 01) Smart Areas and Research Platforms
Erschienen in IEEE Transactions on Power Delivery
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Projektinformation HGF, HGF IVF2016 TALENT, VH-NG-1613
Vorab online veröffentlicht am 10.09.2024
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