DSP Based Maximum Power Point Tracking (MPPT) for Improving the Performance of DFIG

Abstract:

In the recent years, wind power has been developed rapidly. So most of the research work focus towards the variable speed power generation rather than fixed speed power generation in wind energy conversion system. This paper presents a maximum power point tracking (MPPT) technique for an improved power quality, high energy efficiency and controllability. For the experimental application a Back – to - Back configuration with two voltage source converters has been considered one on the machine side and another on the grid side. Each converter has been controlled with a high performance vector control technique ie FOC & VOC respectively. Two DSPs have been used to control both the inverters. Simulation result shows that the Digital Signal Processor provides effectiveness in controlling under different operating conditions.

• Periodical: Applied Mechanics and Materials (Volume 550)
• Pages: 157-165
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.550.157
• Online since: May 2014
• Authors: J. Karthika*
• Keywords: Active Power, Double Fed Induction Generation (DFIG), DSP-Based Implementation, Grid Side Converter (GSC), Reactive Powers, Rotor Side Converter (RSC), Stator Flux Oriented Control

References

[1] M. P. Kazmierkowski, R. Krishnan, and F. Blaabjerg, Control in Power Electronics. London, U.K.: Academic, (2002).

[2] M. Godoy Simões and F. A. Farret, Alternative Energy Systems: Design and Analysis With Induction Generators, 2nd ed. Boca Raton, FL: CRC Press.

[3] H. Li and Z. Chen, Overview of different wind generator systems and their comparisons, IET Renew. Power Gen., vol. 2, no. 2, p.123–138, Jun. (2008).

[4] A. G. Abo-Khalil, D. -C. Lee, and J. -K. Seok, Variable speed wind power generation system based on fuzzy logic control for maximum output power tracking, in Proc. 35th Annu. IEEE PESC, Aachen, Germany, 2004, p.2039–(2043).

DOI: 10.1109/pesc.2004.1355431

[5] R. Cárdenas and R. Peña, Sensorless vector control of induction ma- chines for variable-speed wind energy applications, IEEE Trans. Energy Convers., vol. 19, no. 1, p.196–205, Mar. (2004).

DOI: 10.1109/tec.2003.821863

[6] L. Mihet-Popa, F. Blaabjerg, and I. Boldea, Wind turbine generator mod-eling and simulation where rotational speed is the controlled variable, IEEE Trans. Ind. Appl., vol. 40, no. 1, p.3–10, Jan. /Feb. (2004).

DOI: 10.1109/tia.2003.821810

[7] R. Leidhold, G. Garcia, and M. I. Valla, Maximum efficiency control for variable speed wind driven generators with speed and power limits, in Proc. 28th Annu. Int. Conf. IEEE Ind. Electron. Soc., Seville, Spain, Nov. 5–8, 2002, p.157–162.

DOI: 10.1109/iecon.2002.1187499

[8] M. G. Simões, B. K. Bose, and R. J. Spiegel, Fuzzy-logic-based intelli- gent control of a variable speed cage machine wind generation system, IEEE Trans. Power Electron., vol. 12, no. 1, p.87–95, Jan. (1997).

DOI: 10.1109/63.554173

[9] M. G. Simões, B. K. Bose, and R. J. Spiegel, Design and performance evaluation of a fuzzy-logic-based variable-speed wind generation sys- tem, IEEE Trans. Ind. Appl., vol. 33, no. 4, p.956–965, Jul. /Aug. (1997).

DOI: 10.1109/28.605737

[10] T. Thiringer and J. Linders, Control by variable rotor speed of a fixed- pitch wind turbine operating in a wide speed range, IEEE Trans. Energy Convers., vol. 8, no. 3, p.520–526, Sep. (1993).

DOI: 10.1109/60.257068

[11] T. Senjyu, Y. Ochi, E. Muhando, N. Urasaki, and H. Sekine, Speed and position sensorless maximum power point tracking control for wind generation system with squirrel-cage induction generator, in Proc. PSCE, Oct. 29–Nov. 1, 2006, p.2038–(2043).

DOI: 10.1109/psce.2006.296238

[12] M. Y. Uctug, I. Eskandarzadeh, and I. H. Ince, Modelling and out- put power optimisation of a wind-turbine-driven double-output induction generator, Proc. Inst. Elect. Eng. —Elect. Power Appl., vol. 141, no. 2, p.33–38, Mar. (2004).

DOI: 10.1049/ip-epa:19949983

[13] M. Karrari, W. Rosehart, and O. P. Malik, Comprehensive control strat- egy for a variable-speed cage machine wind generation unit, IEEE Trans. Energy Convers., vol. 20, no. 2, p.415–423, Jun. (2005).

DOI: 10.1109/tec.2005.845525

[14] Etienne Tremblay, Sergio Atayde, and Ambrish Chandra, Comparative Study of Control Strategies for the Doubly Fed Induction Generator in Wind Energy Conversion Systems: A DSP-Based Implementation Approach, IEEE Trans. Sustainable Energy., vol. 2, no. 3, pp.288-299, July. (2011).

DOI: 10.1109/tste.2011.2113381

[15] R. Pena and J. C. Clare, Doubly fed induction generator using back-to back PWM converters and its application to variable-speed wind-energy generation, Proc. IEEE, Electric Power Applications, vol. 143, no. 3, p.231–241, May (1996).

DOI: 10.1049/ip-epa:19960288

[16] Gilsung Byeon, In Kwon Park and Gilsoo Jang, Modeling and Control of a Doubly-Fed Induction Generator (DFIG) Wind Power Generation System for Real-time Simulations, Journal of Electrical Engineering & Technology Vol. 5, No. 1, p.61~69, (2010).

DOI: 10.5370/jeet.2010.5.1.061

[17] Gilsung Byeon, In Kwon Park and Gilsoo Jang, Modeling and Control of a Doubly-Fed Induction Generator (DFIG) Wind Power Generation System for Real-time Simulations, Journal of Electrical Engineering & Technology Vol. 5, No. 1, p.61~69, (2010).

DOI: 10.5370/jeet.2010.5.1.061

[18] Ritika Verma and Prof. Amol Barve Vector control of a Grid Interface Wind-DFIG Hybrid System with SOFC Fuel cell, International Journal of Emerging Research in Management &Technology ISSN: 2278-9359, p.96 – 104, Jan (2013).