A Novel Model Predictive Voltage Control of Brushless Cascade Doubly-Fed Induction Generator in Stand-Alone Power Generation System

The aim of this paper is to present a model predictive voltage control (MPVC) strategy for stabilizing the amplitude and frequency of the output voltages in a Brushless Cascade Doubly-Fed Induction Generator (BCDFIG) under load changing and variable speed of generator shaft in stand-alone mode. BCDFIGs are a particular model of BDFIGs that consist of two induction machines called the control machine and the power machine, so that their rotors are electrically and mechanically coupled together. In this paper, unlike previous studies, which the BCDFIG rotor was integrated, the generator rotor is analyzed as a complex of two rotors of two separate induction machines. Also, the output voltages of generator are predicted and regulated in different operating conditions by using model predictive voltage control. In order to stabilize the amplitude and frequency of BCDFIG output voltages, the appropriate voltage vector is determined to apply to the stator of control machine. This generation system is simulated and simulation results prove the accuracy of proposed method. Experimental results on prototype BCDFIG are provided to validate the proposed methods. Finally, the effectiveness of the proposed controller brings better power capture optimization under variable speed wind turbine.