Issue |
E3S Web Conf.
Volume 64, 2018
2018 3rd International Conference on Power and Renewable Energy
|
|
---|---|---|
Article Number | 07004 | |
Number of page(s) | 5 | |
Section | Electrical Engineering and Mechatronics | |
DOI | https://doi.org/10.1051/e3sconf/20186407004 | |
Published online | 27 November 2018 |
Multi-Resonant based Output Voltage Control of Autonomous Distributed Generators
1 Faculty of Electrical Engineering, University of Science and Technology Houari Boumedien (USTHB), BP n°32, El Alia - Bab Ezzouar - 16111, Algiers, Algeria
2 L2CSP Laboratory, Faculty of Electrical and Computing Engineering, University Mouloud Mammeri of Tizi-Ouzou, 15000, Tizi-Ouzou, Algeria
3 IREENA Laboratory, University of Nantes, 44602, Saint-Nazaire, France
The distributed or decentralized generation electricity constitutes the central stone of various recent energy models, such as the intelligent electrical supply networks. The quality of energy in this type of structure depends primarily on the strategy of control adopted, in order to guarantee proper operation according to the international standards. The strategy of control proposed in this paper uses two control loops. An internal control loop aims at deadening the phenomena of resonance while ensuring the required control dynamic for fast disturbance rejection. As for the external control loop, a multi-resonant composed of a stabilizing state feedback that ensure an asymptotic tracking of the voltage reference with a weak rate of harmonic distortion. Finally, experimental results are presented to show the performances and feasibility of the proposed control strategy.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.