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Time-domain Dynamic State Estimation for Unbalanced Three-phase Power Systems

Pfeifer, Martin 1; Mueller, Felicitas 2; Jongh, Steven de 2; Gielnik, Frederik 2; Leibfried, Thomas 2; Hohmann, Soren
1 Institut für Regelungs- und Steuerungssysteme (IRS), Karlsruher Institut für Technologie (KIT)
2 Institut für Elektroenergiesysteme und Hochspannungstechnik (IEH), Karlsruher Institut für Technologie (KIT)


In this paper, we present a time-domain dynamic state estimation for unbalanced three-phase power systems. The dynamic nature of the estimator stems from an explicit consideration of the electromagnetic dynamics of the network, i.e., the dynamics of the electrical lines. This enables our approach to release the assumption of the network being in quasi-steady state. Initially, based on the line dynamics, we derive a graph-based dynamic system model. To handle the large number of interacting variables, we propose a port-Hamiltonian modeling approach. Based on the port-Hamiltonian model, we then follow an observer-based approach to develop a dynamic estimator. The estimator uses synchronized sampled value measurements to calculate asymptotic convergent estimates for the unknown bus voltages and currents. The design and implementation of the estimator are illustrated through the IEEE 33-bus system. Numerical simulations verify the estimator to produce asymptotic exact estimates, which are able to detect harmonic distortion and sub-second transients as arising from converter-based resources.

Verlagsausgabe §
DOI: 10.5445/IR/1000157986
Veröffentlicht am 05.05.2023
DOI: 10.35833/MPCE.2021.000761
Zitationen: 1
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Elektroenergiesysteme und Hochspannungstechnik (IEH)
Institut für Regelungs- und Steuerungssysteme (IRS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2196-5625, 2196-5420
KITopen-ID: 1000157986
Erschienen in Journal of Modern Power Systems and Clean Energy
Verlag SpringerOpen
Band 11
Heft 2
Seiten 446–454
Nachgewiesen in Scopus
Web of Science
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