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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
Publikationsmonat/-jahr 11.2024
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)
Band 60
Heft 6
Seiten 9184–9194
Projektinformation HGF, HGF IVF2016 TALENT, VH-NG-1613
Nachgewiesen in Dimensions
Scopus
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