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Titel:

Computationally Efficient Model Predictive Direct Power Control with Online Finite Set Model Inductance Estimation Technique for Grid-Connected Photovoltaic Inverters

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Issa Hammoud; Khaled Morsy; Mohamed Abdelrahem; Ralph Kennel Institute for Electrical Drive Systems and Power Electronics Technical University of Munich (TUM), Munich, Germany
Abstract:
Model predictive direct power control (MP-DPC) is considered as a convenient control approach for grid-connected inverters, as it eliminates the need for internal control loops and external modulators. In this paper, a computationally efficient MP-DPC scheme is presented, which overcomes the main drawback of the traditional scheme by reducing the calculation burden. Based on the values of the reference and actual power, the reference voltage vector of the inverter can be calculated. By locating...     »
Kongress- / Buchtitel:
Proceedings of the 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)
Datum der Konferenz:
31 May-2 June 2019
Verlag / Institution:
IEEE
Publikationsdatum:
04.07.2019
Jahr:
2019
Quartal:
3. Quartal
Jahr / Monat:
2019-07
Monat:
Jul
Seiten:
pp. 1-6
Print-ISBN:
978-1-5386-9415-2
E-ISBN:
978-1-5386-9414-5
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/PRECEDE.2019.8753263
Semester:
SS 19
TUM Einrichtung:
Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik
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