Multidisciplinary Constrained Optimization of Power Quality in Doubly Fed Wind Turbine Induction Generator

Seyed Javad  Fattahi; Abolghasem  Zabihollah

doi:10.4236/mme.2013.32013

Seyed Javad Fattahi, Abolghasem Zabihollah

Abstract: Shape optimization of turbine blade to maximize the output power usually changes the power factor due to compensate Repower in a wind turbine. This article presents a multidisciplinary optimization technique to maximize the output power in Doubly Fed Induction Generator (DFIG) wind turbine. The most common parameters when operating the turbine, namely, active power, reactive power and power factor, are considered as the problem constraints and the pitch angle grid side variable frequency converter of the turbine blades are optimized to maximize the output power. Numerical simulation has been illustrated to present the performance of the proposed design approach.

Keywords: Optimization; DFIG; WTG; Pitch Angle; RSC; GSC

Cite this paper: S. Fattahi and A. Zabihollah, "Multidisciplinary Constrained Optimization of Power Quality in Doubly Fed Wind Turbine Induction Generator," Modern Mechanical Engineering, Vol. 3 No. 2, 2013, pp. 90-97. doi: 10.4236/mme.2013.32013.

References

[1] A. Tapia, G. Tapia and J. X. Ostolaza, “Reactive Power Control of Wind Farms for Voltage Control Applications,” Renewable Energy, Vol. 29, No. 3, 2004, pp. 377-392.bdoi:10.1016/S0960-1481(03)00224-6

[2] A. Dittrich, W. Hofmann, A. Stoev and A. Thieme, “Design and Control of a Wind Power Station with Double Fed Generator,” 7th European Conference on Power Electronics and Application, Trondheim, 8-10 September 1997, pp. 723-728.

[3] S. H. Jangamshetti and V. Guruprasada Rau, “Normalized Power Curves as a Tool for Identification of Optimum Wind Turbine Generator Parameters,” IEEE Transactions on Energy Conversion, Vol. 16, No. 3, 2001, pp. 283-288. doi:10.1109/60.937209

[4] F. Giraud and Z. M. Salameh, “Measurement of Harmonics Generated by an Interactive Wind/Photovoltaic Hybrid Power System,” Electric Power Components and Systems, Vol. 35, No. 7, 2007, pp. 757-768. doi:10.1080/15325000601175132

[5] B. Boukhezzar, H. Siguerdidjane and M. Maureen Hand, “Nonlinear Control of Variable-Speed Wind Turbines for Generator Torque Limiting and Power Optimization,” ASME Transactions: Journal of Solar Energy Engineering, Vol. 128, No. 4, 2006, pp. 516-530. 2006doi:10.1115/1.2356496

[6] E. Muljadi and C. P. Butterfield, “Pitch-Controlled Variable-Speed Wind Turbine Generation,” IEEE Transactions on Industry Applications, Vol. 37, No. 1, 2003, pp. 240-246. doi:10.1109/28.903156

[7] L. Chen, J. Zhong, Y. X. Ni, D. Q. Gan, et al., “Reactive Power Optimization in Distribution Network Including Distributed Generators,” Automation of Electric Power Systems, Vol. 30, No. 14, 2006, pp. 20-24.

[8] Z. H. Bie, Y. H. Song, X. F. Wang, G. A. Taylor and M. R. Irving, “A Transition-Optimized Approach to Reactive Power and Voltage Control,” IEEE Power Engineering Society General Meeting, Denver, 6-10 June 2004, pp. 226-232.

[9] Z. Jiang, J. Chen, N. Li, M. Yao and H. Li, “Dynamic Optimization of Reactive Power and Voltage Control in Distribution Network Considering the Connection of DFIG,” Power Engineering and Automation Conference (PEAM), Wuhan, 8-9 September 2011, pp. 30-34.

[10] C. A. C. Coello and M. S. Lechuga, “MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization,” Proceedings of the 2002 Congress on Evolutionary Computation, Honolulu, 12-17 May 2002, pp. 1051-1056.

[11] H. Radwan, A. Hamid Amr, M. A. Amin Refaat, S. Ahmed Adel and A. A. El-Gammal, “Optimal Operation of Induction Motors Based on Multi-Objective Particle Swarm Optimization (MOPSO),” The 33rd Annual Conference of the IEEE Industrial Electronics Society (IECON), Taipei 5-8 November 2007, pp. 1079-1084.

[12] A. Laifa and B. Mohamed, “FACTS Allocation for Power Systems Voltage Stability Enhancement Using MOPSO,” 5th International Multi-Conference on Systems, Signals and Devices, Amman, 20-22 July 2008, pp. 1-6.

[13] A. Kusiak and H. Y. Zheng, “Optimization of Wind Turbine Energy and Power Factor with an volutionary Computation Algorithm,” Energy, Vol. 35, No. 3, 2010, pp. 1324-1332. doi:10.1016/j.energy.2009.11.015

[14] S. Heier, “Grid Integration of Wind Energy Conversion Systems,” John Wiley & Sons Ltd., Hoboken, 1998.

[15] R. Pena, J. C. Clare and G. M. Asher, “Doubly Fed Induction Generator Using Back-to-Back PWM Converters and Its Application to Variable Speed Wind-Energy Generation,” Proceedings of the Institute of Electrical and Electronics Engineers (IEEE), Vol. 143, No. 3, 1996, pp. 231-241.

[16] A. Petersson, L. Harnefors and T. Thiringer, “Evaluation of Current Control Methods for Wind Turbines Using Doubly-Fed Induction Machines,” IEEE Transactions on Power Electronics, Vol. 20, No. 1, 2005, pp. 227-235. doi:10.1109/TPEL.2004.839785

[17] Q. Wei, “Wind Speed Estimation Based Sensor Less Output Maximization Control for a Wind Turbine Driving a DFIG,” IEEE Transactions on Power Electronics, Vol. 23, No. 3, 2008.