Wind Energy Conversion Systems Control Using Inverse Neural Model Algorithm

Authors : M Bayat, M Sedighizadeh, A Rezazadeh

Pages : 40-46

View : 12 | Download : 9

Publication Date : 2010-09-01

Article Type : Research Paper

Abstract :In this paper, a neural inverse model controller to achieve maximum power tracking for wind energy conversion systems insert ignore into journalissuearticles values(WECS`s); employing a double- fed induction generator insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(NN); controller. Its feasibility and effectiveness are demonstrated by simulation results of a typical turbine/generator pair
Keywords : Double fed induction generator, Neural inverse model controller, Wind energy conversion systems