Performance Analysis of a Controller for Doubly-Fed Induction Generators Based Wind Turbines Against Parameter Variations
This paper deals with modeling, analysis, and control of the Doubly-Fed Induction Generator (DFIG) for wind turbines. A model of a DFIG is developed in a rotating d-q axis frame. When the resistance and mutual inductance of DFIG are varying, the risk of the rotor failure is arising. To quantify the rotor current controller performances, transfer functions are derived and analyzed. The design of the current closed-loop control is analyzed according to the rotor current and voltage response. Simulation results of the time domain responses prove a strong robustness of our designed control system under parameter uncertainties. The disturbance rejection performance of the system decreases when the mutual inductance changes with small or large values. The results of the study ensure the operation safety of the wind power generation units, helping the reduction of the failure rate and improving the operation reliability.
Copyright © 2014 Praise Worthy Prize - All rights reserved.
Robyns B., Davigny A., B. Francois, B., Henneton A. and Sprooten J., Electricity Production from Renewable Energies, ISTE Ltd and John Wiley & Sons , 2012.
Wen J., Zheng Y., Donghan F., A review on reliability assessment for wind power, Renew SustEnerg Rev, v.13,n. 9, December 2009, pp. 2485-94.
Labar H., Mekki M., Effect of nonlinear energy on wind farm generators connected to a distribution grid, Energy, v.36,n. 5, Mai 2011, pp. 3255-61.
Hachicha F., Krichen L., Rotor power control in doubly fed induction generator wind turbine under grid faults, Energy, v. 44,n. 1, August2012, pp. 853-861.
Dou C. X., Duan Z. S. and Jia X. B., Delay-dependent H1 robust control for large power systems based on two-level hierarchical decentralized coordinated control structure, International Journal of Systems Science, v. 44,n. 2, February 2013, pp. 329–345.
Vallejo D., Albusac J., Glez-Morcillo C., Castro-Schez J.J. and Jim´enez L., A multi-agent approach to intelligent monitoring in smart grids, International Journal of Systems Science, April 2013, pp. 1-23.
Zerzouri N., Labar H., Kechida S., Simulation Study of DFIG Wind Turbine under Grid Fault,World Academy of Science, Engineering and Technology , v. 66,2012, pp. 573-575.
Ghennam, T., Berkouk, E. M., Francois, B., A vector hysteresis current control applied on three-level inverter. Application to the active and reactive power control of doubly fed induction generator based wind turbine, (2007) International Review of Electrical Engineering (IREE), 2 (2), pp. 250-259.
Petersson A., Harnefors L., Thiringer T., Evaluation of current control methods for wind turbines using doubly-fed induction machines, IEEE Transactions on Power Electronics,v. 20,n. 1,January 2005;20(1), pp. 227-35.
Song Z., Shi T., Xia C., Chen W., A novel adaptive control scheme for dynamic performance improvement of DFIG-Based wind turbines, Energy, v. 38,n. 1,January 2012, pp. 104-117.
Popa L. M., Jensen B. B., Ritchie E., and Boldea I., Condition monitoring of wind generators, in Proc. IAS Annu. Meeting, v. 3, October 2003, pp. 1839-1846.
Thomson W.T. and Fenger M., Current Signature Analysis to Detect Induction Motor Faults,IEEE Industry Applications Magazine, v. 7,n. 4, August 2001, pp. 26-34.
Bonnet A.H. and Soukup G.C., Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors, IEEE Trans.Ind. Applications,v. 28,n. 4, August 1992, pp. 921-937.
El HachemiBenbouzid M., A review of induction motors signature analysis as a medium for faults detection, Industrial Electronics,IEEE Transactions, v. 47,n. 5,October 2000, pp. 984–993.
Babypriya B., Anita R., Modelling, simulation and analysis of doubly fed induction generator for wind turbines, Journal of Electrical engineering, v. 60, n. 2, 2009, pp. 79-85.
Petru T. and Thiringer T., Modeling of Wind Turbines for Power System Studies, IEEE Transactions On Power Systems, v. 17,n. 4, November 2002, pp. 1132-1139.
Peng L., Li Y.D., B. Francois, B., Modeling and Control of Doubly Fed Induction Generator Wind Turbines by Using Causal Ordering Graph during Voltage Dips", International Conference on Electrical Machines and Systems : ICEMS 08, Wuhan, China , 17th -20 th October 2008, CD-ROM
Slootweg J. G., de Haan S. W. H., Polinder H., and Kling W. L., General Model for Representing Variable Speed Wind Turbines in Power System Dynamics Simulations,IEEE Transactions On Power Systems, v. 18,n. 1, February2003, pp. 144-151.
Ekanayake J., Holdsworth L., Jenkins N., Comparison of 5th order and 3rd order machine models for doubly fed induction generator (DFIG) wind turbines, Electric Power Systems Research, v. 67,n. 3, December 2005, pp. 207-215.
Jabr H., Kar C., Effects of main and leakage flux saturation on the transient performances of doubly-fed wind driven induction generator, Electric Power Systems Research, v. 77,n. 8, June 2007, pp. 1019-1027.
El Aimani S., Francois B., Robyns B., Minne F., “Dynamic Behaviour Of A Grid-Connected Wind Turbine With Doubly Fed Induction Generator During Disturbances”, 18th International Conference on Electricity Distribution : CIRED 2005, 6-9 June 2005, Turin (Italy).
El Aimani S., Francois B., Robyns B., De Jaeger E., Dynamic Behavior of Two Stator Flux Control Systems of A Doubly Fed Induction Generator Based Grid-Connected Wind Turbine During Voltage Dips, 18th International Conference on Electricity Distribution: CIRED2005, Berlin, Germany.
Tohidi, A., Shamsaddinlou, A., Abedinia, O., Sedigh, A.K., Abbaszadeh, K., New practical design of disturbance rejection control scheme for dfig with wind energy conversion systems, (2013) International Review of Electrical Engineering (IREE), 8 (3), pp. 1119-1132.
- There are currently no refbacks.
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2022 Praise Worthy Prize