PSI- Issue 9

Mohammed Ezzahi et al. / Procedia Structural Integrity 9 (2018) 221–228 Author name / Structural Integrity Procedia 00 (2018) 000–000

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power curve tracking achievable proportional-integral -based control schemes shows a considerable need for improvement. Even if feedforward decoupling control terms are traditionally incorporated to enhance the closed-loop DFIG dynamic response, they are extremely dependent on DFIG parameters. Indeed, we showed the simulated values of rotor flux and speed have been modelled with a big accuracy. All obtained results are essential to maximise profits and maintain life cycle costs of wind power systems. They can contribute to reduce the complexity of WPS that arises for several reasons, including rapid technology development, complex supply chains and constrained infrastructure, remote locations and, more generally, lack of detailed failure data. They can also help to establish asset management to effectively manage corporate assets for a maximum added value, profitability and returns while safeguarding personnel, the community and the environment. References Ba-Razzouk, A., Cheriti, A., Olivier, G., Sicard, P. 1997. Field-oriented Control of Induction Motors using Neural-network Decouplers, IEEE Transaction on Power Electronics, 12(4), 752 – 763. Belmokhtar, K., Doumbia, M. L., and Agbossou, K. 2011. Modelling and Power Control of Wind Turbine Driving DFIG connected to the Utility Grid. In Proc. of the International Conference on Renewable energies and Power Quality, ICREPQ, 1-6. Blaschke, F. 1972. The Principle of Field Orientation as Applied to the New Transvector Closed Loop Control Systems for Rotating Machines, Siemens Review, 39(5), 217 – 220. Burton, T., Sharpe, D., Jenkins, N. and Bossanyi, E. 2001. Wind Energy Handboo. John Wiley&Sons, Ltd. Jou, S. T., Lee, S. B., Park, Y. B., and Lee, K. B. 2009. Direct power control of a DFIG in wind turbines to improve dynamic responses. Journal of power electronics, 9(5), 781-790. Kadjoudj, M., Golea, N., Benbouzid M.E. 2007. Fuzzy Rule-based Model Reference Adaptive Control for PMSM Drives, Serbian Journal of Electrical Engineering, 4(1), 13 – 22. Khil, S. K. E. 2006. Commande vectorielle d’une machine asynchrone doublement alimentée (MADA): Optimisation des pertes dans les convertisseurs: reconfiguration de la commande, theses.fr. Kling W. L. and. Slootweg, J. G, 2002. Wind Turbines as Power Plants. Proceeding of the IEEE/Cigré workshop, Oslo, Norway. Li, S., Challoo R. and Nemmers, M. J. 2009. Comparative Study of DFIG Power Control Using Stator-Voltage and Stator-Flux Oriented Frames, IEEE Power & Energy Society General Meeting, 1-8. Mesbahi, A. 2013. Contribution aux techniques d’estimation et d’observation appliquées aux machines asynchrones et synchrones, PhD thesis, ENSEM. Qiao, W., Zhou, W., Aller, J. M. and Harley, R.G. 2008. Wind Speed Estimation Based Sensorless Output Maximization Control for a Wind Turbine Driving a DFIG”, IEEE Transactions on Power Electronics, 23(3), 1156-1169. Salloum, G. 2007. Machine asynchrone à double alimentation. Institut national polytechnique de Toulouse, PhD thesis. Sorchini, Z., Krein, P. 2006. Formal Derivation of Direct Torque Control for Induction Machines, IEEE Transactions on Power Electronics, 21(5), 1428 – 1436. Takahashi, I., Noguchi, T. 1986. A New Quick-response and High Efficiency Control Strategy of an Induction Machine, IEEE Transaction on Industry Application, 22(5), 820 – 827. Vasudevan, M., Arumugam, R., Paramasivam, S., 2005. High-performance Adaptive Intelligent Direct Torque Control Schemes for Induction Motor Drives, Serbian Journal of Electrical Engineering, 2(1), 93 – 116. Zhang, Y., Li, Z., Hu, J., Xu, W. and Zhu, J. 2011. A Cascaded Brushless Doubly Fed Induction Generator for Wind Energy Applications Based on Direct Power Control, 2011 International Conference on Electrical Machines and Systems, 1-6.