Wind Energy, Wind Farms; Wind Turbine, Wind Rose,; Wind Power, Tip Speed Ratio
Résumé :
[en] This paper is focused on the Wind Energy (WE) systems and Wind Farms (WFs) optimization in Luxembourg. It describes the overview of the wind resources in all the WFs
and presents a class of Improved Wake Interaction Model (IWIM) for Coordination and Optimization Control (CnOC) of WFs. Based on Wind Power (WP) assessment of WFs, the statistical method is used to model the distribution of Wind Speed (WS) and Wind Direction (WD). Some simulation
figures about the Wind Rose (WR) and WF optimization demonstrate the description and assessment of WP in detail. These assessments are expected to enhance the effectiveness of
exploitation and utilization of WP in WFs of Luxembourg.
Centre de recherche :
SnT
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
PAN, Lin ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
VOOS, Holger ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Darouach, Mohamed; University of Lorraine, France > Research Center for Automatic Control of Nancy
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
A Class of Improved Wake Interaction Model for the Coordinated Control of Wind Farms
Date de publication/diffusion :
01 décembre 2015
Nom de la manifestation :
IEEE Chinese Automation Congress (CAC), 2015
Organisateur de la manifestation :
Chinese Association of Automation
Lieu de la manifestation :
Wuhan, Chine
Date de la manifestation :
from 26-11-2015 to 30-11-2015
Manifestation à portée :
International
Titre de l'ouvrage principal :
IEEE International Chinese Automation Congress (CAC), 2015
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