Model predictive power control of a brushless doubly fed twin stator induction generator

This paper presents a model predictive power control (MPPC) scheme for the brushless doubly fed twin stator induction generator (BDFTSIG). State-space equations of the BDFTSIG, in terms of power winding (PW) current, control winding (CW) current, and PW flux, is specifically derived. A complete power model, which clearly reveals the relationship between power and the applied voltage vector, is then developed for the first time to accurately predict the future behavior of power. The proposed MPPC is realized by optimizing a predefined objective function that represents the absolute power error. It takes into account the discrete nature of power converters and does not require any additional modulator. Digital simulations are implemented, which clearly indicate the effectiveness of the proposed MPPC in terms of both steady-state and dynamic performance.