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Power-to-Frequency Dependency of Residential Loads in a Wider Frequency Range: An Experimental Investigation

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

Abstract (englisch):

With decreasing rotational inertia from traditional synchronous generation, frequency is becoming more volatile. Hence, a closer assessment of frequency-dependent load behavior is required. This paper presents an experimental investigation for residential loads, including sixteen typical domestic appliances. The perturbation-based method (range 50±1 Hz) is applied to determine frequency sensitivity values as parameters for commonly used exponential and linear frequency-dependent load models. Subsequently, these models with their identified parameters are compared with the measured load behavior of four representative devices during dynamic and steady-state frequency variations. The comparison shows a significant increase in the reconstruction error beyond the 50±1 Hz range, which suggests that the model parameters identified for a small frequency range may not be the most effective for larger frequency variations. The experimental study presented in this paper also includes a PV inverter as a representative of the increasing number of distributed generator and storage systems. The frequency-dependent behavior of such systems is defined in grid codes in some countries (e.g. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000173479
Veröffentlicht am 16.08.2024
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: 0093-9994, 1939-9367
KITopen-ID: 1000173479
HGF-Programm 37.12.03 (POF IV, LK 01) Smart Areas and Research Platforms
Erschienen in IEEE Transactions on Industry Applications
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 1–11
Projektinformation HGF, HGF IVF2016 TALENT, VH-NG-1613
Nachgewiesen in Dimensions
Scopus
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