- International Journal of Engineering and Applied Sciences
- Vol: 2 Issue: 3
- Wind Energy Conversion Systems Control Using Inverse Neural Model Algorithm
Wind Energy Conversion Systems Control Using Inverse Neural Model Algorithm
Authors : M. Bayat, M. Sedighizadeh, A. Rezazadeh
Pages : 40-46
View : 8 | Download : 4
Publication Date : 2010-09-01
Article Type : Other
Abstract :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 pairKeywords : Double- fed induction generator, Neural inverse model controller, Wind energy conversion systems