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Full- and Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent Magnet Synchronous Generator

Hackl, Christoph; Jané-Soneira, Pol ORCID iD icon 1; Pfeifer, Martin 1; Schechner, Korbinian; Hohmann, Sören 1
1 Institut für Regelungs- und Steuerungssysteme (IRS), Karlsruher Institut für Technologie (KIT)


Full-order state-space models represent the starting point for the development of advanced control methods for wind turbine systems (WTSs). Regarding existing control-oriented WTS models, two research gaps must be noted: (i) There exists no full-order WTS model in form of one overall ordinary differential equation that considers all dynamical effects which significantly influence the electrical power output; (ii) all existing reduced-order WTS models are subject to rather arbitrary simplifications and are not validated against a full-order model. Therefore, in this paper, two full-order nonlinear state-space models (of 11th and 9th-order in the (a, b, c)- and (d, q)-reference frame, resp.) for variable-speed variable-pitch permanent magnet synchronous generator WTSs are derived. The full-order models cover all relevant dynamical effects with significant impact on the system’s power output, including the switching behavior of the power electronic devices. Based on the full-order models, by a step-by-step model reduction procedure, two reduced-order WTS models are deduced: A non-switching (averaging) 7th-order WTS model and a non-switching 3rd-order WTS model. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000084404
Veröffentlicht am 12.07.2018
DOI: 10.3390/en11071809
Zitationen: 10
Zitationen: 12
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Regelungs- und Steuerungssysteme (IRS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 1996-1073
KITopen-ID: 1000084404
HGF-Programm 37.06.01 (POF III, LK 01) Networks and Storage Integration
Erschienen in Energies
Verlag MDPI
Band 11
Heft 7
Seiten 1809
Vorab online veröffentlicht am 10.07.2018
Schlagwörter wind turbine system; wind energy conversion system; dynamic modeling; control, design model; control system; operation management; switching behavior; nonlinear dynamics;, model reduction; comparative simulation
Nachgewiesen in Web of Science
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