In this paper, a neural inverse model controller to achieve maximum power tracking for wind energy conversion systems (WECS's) employing a double- fed induction generator (DFIG) is proposed. Changes on the firing angle of the inverter can control the operation point of the generator. This purpose complies with a neural network (NN) controller. Its feasibility and effectiveness are demonstrated by simulation results of a typical turbine/generator pair
Double- fed induction generator Neural inverse model controller Wind energy conversion systems
Diğer ID | JA65JE26ZE |
---|---|
Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 1 Eylül 2010 |
Yayımlandığı Sayı | Yıl 2010 Cilt: 2 Sayı: 3 |