Direct connection of WECS system to the MV grid with multilevel converters
Santiago A. Verne and
María I. Valla
Renewable Energy, 2012, vol. 41, issue C, 336-344
Abstract:
A medium voltage power interface for a variable speed Wind Turbine is presented in this paper. The converter topology consists on the Back-to-Back connection of two medium voltage Diode Clamped Multilevel Inverters (DCMI) in the full power path. This mitigates traditional tradeoffs around the low voltage connection between the generator and the grid on the megawatt range. Also, this configuration allows for higher control versatility for grid codes compliance. The converter controllers are based on a Finite-States Model Predictive Control approach, leading to fast dynamic response and DC bus voltage equalization. The control scheme can be used with converters of an arbitrary number of levels with reduced computational effort. This is based on necessary switching restrictions which allow the reliable operation of converter legs. The performance of the control scheme is evaluated through computer simulations.
Keywords: Wind energy conversion system; Current control; Voltage Source multilevel converters; Model predictive control; Variable speed wind turbine (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148111006240
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:41:y:2012:i:c:p:336-344
DOI: 10.1016/j.renene.2011.11.022
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().