Version 1
: Received: 25 July 2020 / Approved: 26 July 2020 / Online: 26 July 2020 (02:28:40 CEST)
Version 2
: Received: 14 June 2021 / Approved: 16 June 2021 / Online: 16 June 2021 (12:04:39 CEST)
How to cite:
Mazouz, F.; Belkacem, S. Super Twisting Algorithm Direct Power Control of DFIG Using Space Vector Modulation. Preprints2020, 2020070628. https://doi.org/10.20944/preprints202007.0628.v1
Mazouz, F.; Belkacem, S. Super Twisting Algorithm Direct Power Control of DFIG Using Space Vector Modulation. Preprints 2020, 2020070628. https://doi.org/10.20944/preprints202007.0628.v1
Mazouz, F.; Belkacem, S. Super Twisting Algorithm Direct Power Control of DFIG Using Space Vector Modulation. Preprints2020, 2020070628. https://doi.org/10.20944/preprints202007.0628.v1
APA Style
Mazouz, F., & Belkacem, S. (2020). Super Twisting Algorithm Direct Power Control of DFIG Using Space Vector Modulation. Preprints. https://doi.org/10.20944/preprints202007.0628.v1
Chicago/Turabian Style
Mazouz, F. and Sebti Belkacem. 2020 "Super Twisting Algorithm Direct Power Control of DFIG Using Space Vector Modulation" Preprints. https://doi.org/10.20944/preprints202007.0628.v1
Abstract
This paper presents the super-twisting algorithm (STA) direct power control (DPC) scheme for the control of active and reactive powers of grid-connected DFIG. Simulations of 5 KW DFIG has been presented to validate the effectiveness and robustness of the proposed approach in the presence of uncertainties with respect to vector control (VC). The proposed controller schemes with fixed gains are effective in reducing the ripple of active and reactive powers, effectively suppress sliding-mode chattering and the effects of parametric uncertainties not affecting system performance.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.