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Study of DFIG with Rotor Excited Through Inverter and Method of Efficiency Maximization
Abstract
Abstract
In order to extract maximum power output from a DFIG or Doubly fed Induction Generator, maximum mechanical power must be extracted from wind turbine and the losses must be minimized. As the wind speed is not fixed, in order to get maximum power and minimum losses, the d-axis and q-axis rotor currents I*dr and I*qr are controlled according to the changes in wind speed. In this research, Genetic Algorithms are used in order to determine optimum rotor current to extract maximum power and minimize losses according to the speed variations. Genetic Algorithm has ability to provide operating point for individual objective functions unlike analytical method which requires two functions to determine operating current which makes GA more suitable for real-time operation. Core Loss component is added in the study for higher accuracy in the results.
Keywords: Genetic Algorithm, DFIG, Efficiency, Wind Turbine, Steady State.
Cite this Article
Apoorv Surana, Sandeep Banerjee, Vinit Pathak, Vishal Gupta. Study of DFIG with Rotor Excited Through Inverter and Method of Efficiency Maximization. Research & Reviews: Journal of Physics. 2020; 9(1): 51–56p.
References
Smith, G.A. and Nigim, K.A., 1981, November. Wind-energy recovery by a static Scherbius induction generator. In IEE Proceedings C (Generation, Transmission and Distribution) (Vol. 128, No. 6, pp. 317-324). IET Digital Library.
Salameh, Z.M. and Kazda, L.F., 1986. Analysis of the steady state performance of the double output induction generator. IEEE transactions on Energy Conversion, (1), pp.26-32.
Vicatos, M.S. and Tegopoulos, J.A., 1989. Steady state analysis of a doubly-fed induction generator under synchronous operation. IEEE Transactions on Energy Conversion, 4(3), pp.495-501.
Pena, R., Clare, J.C. and Asher, G.M., 1996. Doubly fed induction generator using back-to-back PWM converters and its application to variable-speed wind-energy generation. IEE Proceedings-Electric power applications, 143(3), pp.231-241.
Petersson, A., Thiringer, T., Harnefors, L. and Petru, T., 2005. Modeling and experimental verification of grid interaction of a DFIG wind turbine. IEEE Transactions on Energy Conversion, 20(4), pp.878-886.
Boldea, I., 2018. Variable speed generators. CRC press.
Banakar, H., Luo, C. and Ooi, B.T., 2006. Steady-state stability analysis of doubly-fed induction generators under decoupled P–Q control. IEE Proceedings-Electric Power Applications, 153(2), pp.300-306.
Kayikci, M. and Milanovic, J.V., 2007. Reactive power control strategies for DFIG-based plants. IEEE transactions on energy conversion, 22(2), pp.389-396.
Aguglia, D., Viarouge, P., Wamkeue, R. and Cros, J., 2008. Analytical determination of steady-state converter control laws for wind turbines equipped with doubly fed induction generators. IET Renewable Power Generation, 2(1), pp.16-25.
Mauricio, J.M., Leon, A.E., Gomez-Exposito, A. and Solsona, J.A., 2008. An adaptive nonlinear controller for DFIM-based wind energy conversion systems. IEEE Transactions on Energy Conversion, 23(4), pp.1025-1035.
Tsourakis, G., Nomikos, B.M. and Vournas, C.D., 2009. Contribution of doubly fed wind generators to oscillation damping. IEEE Transactions on energy conversion, 24(3), pp.783-791.
Rabelo, B.C., Hofmann, W., da Silva, J.L., de Oliveira, R.G. and Silva, S.R., 2009. Reactive power control design in doubly fed induction generators for wind turbines. IEEE Transactions on Industrial Electronics, 56(10), pp.4154-4162.
Engelhardt, S., Erlich, I., Feltes, C., Kretschmann, J. and Shewarega, F., 2010. Reactive power capability of wind turbines based on doubly fed induction generators. IEEE Transactions on Energy Conversion, 26(1), pp.364-372.
Abdel-Baqi, O. and Nasiri, A., 2011. Series voltage compensation for DFIG wind turbine low-voltage ride-through solution. IEEE Transactions on Energy conversion, 26(1), pp.272-280.
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