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
fDate :
April 29 2012-May 2 2012
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;
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2012.6335010