A New Fuzzy Direct Power Control of Doubly-Fed Induction Generator in a Wind Power System

This paper presents a new fuzzy direct power control of double-fed induction generators (DFIG) in the wind power system. The most important issue in the application of DFIG generators is proper control of the active and reactive powers of these generators, which are generally carried out by vector control or direct torque/power control methods. Direct power control (DPC) directly controls the active and reactive powers of the stator, and stems from results from direct torque control. To use the vector control method, it is necessary to use conventional PI controllers the main disadvantage being the controller robustness due to the nonlinear behavior of the wind turbine and blade oscillations, and it is unavoidable that after a while, the controller's coefficients need to be updated. Therefore, the main purpose of this paper is to present a direct power control method based on fuzzy construction to overcome the mentioned problem. Simulation results of the proposed strategy are extracted under different performance conditions, and these results are compared with the conventional vector-oriented control method. These comprehensive results exhibit the effectiveness of the proposed fuzzy DPC method for the DFIGs based wind power systems.

[1]  Frede Blaabjerg,et al.  Control in Power Electronics: selected problems , 2002 .

[2]  K. Nabti,et al.  Direct Power Control for AC/DC/ACConverters in Doubly Fed Induction Generators Based Wind Turbine , 2012 .

[3]  Frede Blaabjerg,et al.  Power Electronics for Modern Wind Turbines , 2006, Power Electronics for Modern Wind Turbines.

[4]  A. Petersson.  Analysis, Modeling and Control of Doubly-Fed Induction Generators for Wind Turbines , 2005 .

[5]  Sadegh Vaez-Zadeh,et al.  A Combined Vector and Direct Power Control for DFIG-Based Wind Turbines , 2014, IEEE Transactions on Sustainable Energy.

[6]  Heng Nian,et al.  Coordinated Direct Power Control of DFIG System Without Phase-Locked Loop Under Unbalanced Grid Voltage Conditions , 2016, IEEE Transactions on Power Electronics.

[7]  António P. Martins,et al.  Nonlinear control of the doubly-fed induction generator in wind power systems , 2010 .

[8]  Ahmed Benzouaoui,et al.  Parallel model predictive direct power control of DFIG for wind energy conversion , 2021 .

[9]  Jon Clare,et al.  Doubly fed induction generator using back-to-back PWM converters and its application to variable-speed wind-energy generation , 1996 .

[10]  Hossein Heydari,et al.  Direct Power Control Topologies for DFIG-Based Wind Plants , 2012 .

[11]  A. Tapia,et al.  Two Alternative Modeling Approaches for the Evaluation of Wind Farm Active and Reactive Power Performances , 2006, IEEE Transactions on Energy Conversion.

[12]  Dan Sun,et al.  Low-Complexity Model Predictive Direct Power Control for DFIG Under Both Balanced and Unbalanced Grid Conditions , 2016, IEEE Transactions on Industrial Electronics.

[13]  Mohammad Hosein Kazemi,et al.  Direct adaptive fuzzy control with membership function tuning , 2012 .

[14]  G. Abad,et al.  Direct Power Control of Doubly-Fed-Induction-Generator-Based Wind Turbines Under Unbalanced Grid Voltage , 2010, IEEE Transactions on Power Electronics.

[15]  Bin Wu,et al.  High-Power Converters and AC Drives , 2006 .

[16]  Jung-Ik Ha,et al.  A Doubly Fed Induction Generator Controlled in Single-Sided Grid Connection for Wind Turbines , 2013, IEEE Transactions on Energy Conversion.

[17]  Sajjad Tohidi,et al.  Computationally Efficient Long Horizon Model Predictive Direct Current Control of DFIG Wind Turbines , 2020 .

[18]  Mohammad Verij Kazemi,et al.  Fuzzy logic control to improve the performance of the direct power control based DFIG , 2013 .

[19]  G. N. Pillai,et al.  Design and Implementation of Type-2 Fuzzy Logic Controller for DFIG-Based Wind Energy Systems in Distribution Networks , 2016, IEEE Transactions on Sustainable Energy.