DocumentCode
1870525
Title
Maximizing wind energy production with the multi-unit optimization method
Author
Mehenna, T. ; Woodward, L.
Author_Institution
Ecole de Technol. Super., Montreal, QC, Canada
fYear
2012
fDate
April 29 2012-May 2 2012
Firstpage
1
Lastpage
6
Abstract
Nowadays, wind energy is becoming an attractive source of clean energy. However, this type of power source is subject to power reductions due to losses in wind energy conversion system and to frequently changes in wind velocity. Many researches are turning to develop real-time power optimization techniques in order to maximize wind power production. In this paper, the multi-unit optimization method is used to maximize in real-time the power of a wind energy conversion system (WECS) composed of two wind turbines with permanent magnet synchronous generators (PMSG). The performance of the proposed method is compared to the one obtained from the application of the perturbation-observation (PO) method. The simulation results show a faster convergence of the multi-unit optimization method to the optimal operational point without any oscillation around this point. The multi-unit optimization method also showed a better response than the PO method to rapid changes in wind velocity.
Keywords
optimisation; permanent magnet generators; synchronous generators; wind power plants; wind turbines; PMSG; PO method; WECS; clean energy; multiunit optimization method; optimal operational point; permanent magnet synchronous generators; perturbation-observation method; power reductions; power source; real-time power optimization techniques; wind energy conversion system; wind energy production; wind turbines; wind velocity; Convergence; Generators; Optimization methods; Rotors; Wind energy; Wind speed; Wind turbines; extremum-seeking control; hill-climbing; multi-unit optimization; wind energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location
Montreal, QC
ISSN
0840-7789
Print_ISBN
978-1-4673-1431-2
Electronic_ISBN
0840-7789
Type
conf
DOI
10.1109/CCECE.2012.6335010
Filename
6335010
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