An autonomous frequency and voltage controller for standalone doubly fed induction generator

This paper presents an autonomous frequency and voltage control strategy for a standalone doubly fed induction generator (DFIG). The main aim of this study is to keep stator frequency as well as stator voltage at the desired value under different load and variable wind speed conditions without using position sensor. The proposed sensorless method is based on the detection of the stator frequency and it is designed to operate without a knowledge of any parameter of the DFIG. Hence, the proposed sensorless method can be operated as a model-free. A proportional-integral (PI) controller is used to control rotor currents as well as stator voltage. Simulation studies were performed to verify the dynamic and steady-state performances of the proposed control strategy under different operating conditions. The results show that the proposed strategy not only has an excellent steady-state and dynamic performance, but also exhibits robustness against wind speed and load variations.

[1]  Longya Xu,et al.  Model reference adaptive system observer based sensorless control of doubly-fed induction machine , 2010, 2010 International Conference on Electrical Machines and Systems.

[2]  Sertac Bayhan,et al.  Grid synchronization of doubly fed induction generator in wind power systems , 2011, 2011 International Conference on Power Engineering, Energy and Electrical Drives.

[3]  Sevki Demirbas,et al.  Critical aspects of wind energy systems in smart grid applications , 2015 .

[4]  César A. Silva,et al.  Experimental sensorless vector control performance of a DFIG based on an extended Kalman filter , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.

[5]  Haitham Abu-Rub,et al.  Model predictive sensorless control of standalone doubly fed induction generator , 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

[6]  Duarte M. Sousa,et al.  A DFIG sensorless method for direct estimation of slip position , 2010, 2010 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering (SIBIRCON).

[7]  Haitham Abu-Rub,et al.  Performance comparison of two sensorless control methods for standalone doubly-fed induction generator , 2014, 2014 16th International Power Electronics and Motion Control Conference and Exposition.

[8]  Marian Kazmierkowski High Performance Control of ac Drives with MATLAB/Simulink Models [Book News] , 2012, IEEE Industrial Electronics Magazine.

[9]  G. D. Marques,et al.  New Sensorless Rotor Position Estimator of a DFIG Based on Torque Calculations—Stability Study , 2012, IEEE Transactions on Energy Conversion.

[10]  Yongzheng Zhang,et al.  Sensorless Maximum Power Point Tracking of Wind by DFIG Using Rotor Position Phase Lock Loop (PLL) , 2009, IEEE Transactions on Power Electronics.

[11]  Alvaro Luna,et al.  Simplified Modeling of a DFIG for Transient Studies in Wind Power Applications , 2011, IEEE Transactions on Industrial Electronics.

[12]  Ramesh Kumar Tripathi,et al.  A novel voltage and frequency controller for standalone DFIG based Wind Energy Conversion System , 2014 .

[13]  Marian P. Kazmierkowski,et al.  Power Electronics for Renewable Energy Systems, Transportation and Industrial Applications [Book News] , 2014, IEEE Industrial Electronics Magazine.

[14]  G D Marques,et al.  A DFIG Sensorless Rotor-Position Detector Based on a Hysteresis Controller , 2011, IEEE Transactions on Energy Conversion.

[15]  Ahmed G. Abo-Khalil,et al.  Synchronization of DFIG output voltage to utility grid in wind power system , 2012 .

[16]  E Tremblay,et al.  Comparative Study of Control Strategies for the Doubly Fed Induction Generator in Wind Energy Conversion Systems: A DSP-Based Implementation Approach , 2011, IEEE Transactions on Sustainable Energy.