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Erschienen in: Electrical Engineering 6/2022

07.09.2022 | Original Paper

Dynamic stability improvement of power system with DFIG using multi-input backstepping control

verfasst von: Zabiholah Faramarzi, Saeed Abazari, Said Hoghoughi, Navid Reza Abjadi

Erschienen in: Electrical Engineering | Ausgabe 6/2022

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Abstract

In this paper, the dynamic stability of the power systems is improved through the rotor side convertor voltage control of a number of doubly fed induction generators (DFIGs). The multi-input backstepping method is used to design the control laws. Using the particle swarm optimization algorithm, the proposed control parameters are optimized to achieve a better performance. This optimal control law leads to a significantly improved performance in comparison with linear control methods such as state feedback control which implement optimized pole placement by linear matrix inequality design. The offered method results in a faster convergence rate and also robustness against changes in the operating points. The performance of the presented control scheme is validated in a standard 9-bus IEEE power system, with a DFIG located in bus number 9.

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Metadaten
Titel
Dynamic stability improvement of power system with DFIG using multi-input backstepping control
verfasst von
Zabiholah Faramarzi
Saeed Abazari
Said Hoghoughi
Navid Reza Abjadi
Publikationsdatum
07.09.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 6/2022
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-022-01620-6

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