A hybrid Fuzzy-PI cascade controller for transient stability improvement in DFIG wind generators

Doubly-Fed Induction Generator (DFIG) Wind Turbine (WT) can be affected by power system faults and requires crowbar protection. When the crowbar is triggered, the rotor is short circuited over the crowbar impedance, the DFIG operates as a Squirrel-cage Induction Generator (SCIG) that tends to drain large amount of reactive power from the grid during fault, potentially causing a voltage drop. In this research, therefore, we propose the use of DFIG based Low-voltage-Ride-Through (LVRT) scheme including crowbar, PSS (Power System Stabilizer), RSC (Rotor-side converter) and GSC (Grid-side converter) in order to enhance the transient stability of a grid-connected DFIG. A hybrid cascade Fuzzy-PI based controlling technique is introduced to control the Insulated gate Bipolar Transistor (IGBT) based frequency converter to enhance the transient stability. In the simulations here presented, the proposed control scheme is investigated by comparing the performance of the DFIG system with and without LVRT and damping control scheme.

[1]  Francesco Grimaccia,et al.  Improved LVRT based on coordination control of active crowbar and reactive power for doubly fed induction generators , 2015, 2015 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE).

[2]  S. Leva,et al.  Comparison of power quality in different grid-integrated wind turbines , 2014, 2014 16th International Conference on Harmonics and Quality of Power (ICHQP).

[3]  Jens Fortmann,et al.  Fault-ride-through requirements for wind power plants in the ENTSO-E network code on requirements for generators , 2015 .

[4]  Shigeo Abe Fuzzy function approximators with ellipsoidal regions , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[5]  O. Anaya-Lara,et al.  A power system stabilizer for DFIG-based wind generation , 2006, IEEE Transactions on Power Systems.

[6]  Sonia Leva,et al.  Comparison of active crowbar protection schemes for DFIGs wind turbines , 2014, 2014 16th International Conference on Harmonics and Quality of Power (ICHQP).

[7]  Stavros A. Papathanassiou,et al.  A review of grid code technical requirements for wind farms , 2009 .

[8]  S. Mishra,et al.  Improving Stability of a DFIG-Based Wind Power System With Tuned Damping Controller , 2009, IEEE Transactions on Energy Conversion.

[9]  Faa-Jeng Lin,et al.  Squirrel-cage induction generator system using hybrid wavelet fuzzy neural network control for wind power applications , 2014, Neural Computing and Applications.

[10]  Francesco Grimaccia,et al.  Improving Transient Stability in a Grid-Connected Squirrel-Cage Induction Generator Wind Turbine System Using a Fuzzy Logic Controller , 2015 .

[11]  Francesco Grimaccia,et al.  Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system , 2014 .

[12]  Francesco Grimaccia,et al.  Improving LVRT characteristics in variable-speed wind power generation by means of fuzzy logic , 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[13]  Marco Mussetta,et al.  Coordination control of active crowbar for doubly fed induction generators , 2014, 2014 International Symposium on Fundamentals of Electrical Engineering (ISFEE).

[14]  Francesco Grimaccia,et al.  Hybrid model for hourly forecast of photovoltaic and wind power , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[15]  Francesco Grimaccia,et al.  Performance analysis of grid-connected wind turbines , 2014 .