Journal of Fundamentals of Renewable Energy and Applications
Open Access

Encoder less finite control set-model predictive control for doubly-fed induction generators in variable speed wind turbines

World Congress and Exhibition on Wind & Renewable Energy

July 28-30, 2016 Berlin, Germany

Mohamed Abdelrahem, Christoph Hackl and Ralph Kennel

Technische Universitaet Muenchen, Germany

Posters & Accepted Abstracts: J Fundam Renewable Energy Appl

Abstract :

Doubly-fed induction generators (DFIGs) are the most commonly used generators in on-shore and off-shore applications, accounting for more than 50% of the installed wind turbines nominal capacity worldwide. DFIGs can supply active and reactive power, operate with a partial-scale power converter (around 30% of the machine rating), and achieve a certain ride through capability. Operation above and below the synchronous speed is feasible. This paper proposes an encoderless finite control set-model predictive control (FCS-MPC) strategy for douply-fed induction generators in variable-speed wind turbine systems (WTSs). The proposed MPC takes the discrete states of the voltage source converter into account and the future converter behavior is predicated for each sampling period. Then the switching action that minimizes a predefined cost function is selected to be applied in the next sampling instant. A model reference adaptive system (MRAS) observer is proposed for estimation of the DFIG rotor speed and position. Estimation and control performance of the proposed encoderless control methods are illustrated by simulation results for all operation conditions. Moreover, the performance of the proposed MRAS observer is tested under variations of the DFIG parameters.

Biography :

Email: mohamed.abdelrahem@tum.de