Stability Analysis and Optimization of Wind Energy Conversion System Using Extremum Seeking Output Feedback Controller for Dynamic Wind Speed Variations

  • Authors

    • M. B.Hemanth Kumar
    • B. Saravanan
    2018-10-02
    https://doi.org/10.14419/ijet.v7i4.10.26636
  • Extremum seeking, non-linear controller, power coefficient, power system stability, renewable energy.

  • Stability of power systems is an important aspect for interconnecting different renewable energy sources into the existing electrical network. The concern over environmental effects due to conventional power plant made the researchers to implement many solutions for introducing renewable energy due to their intermittent nature. When the wind energy conversion system is introduced into the grid there’s need of voltage and frequency control for maintaining reactive power demand and also many issues from the consumer end and also it must satisfy the grid standards. As the wind is dynamic in nature there are issues like stability, load imbalance, power quality and other issues. In this paper, a non-linear feedback controller is introduced based on field-oriented control (FOC) approach and simulated in MATLAB environment. The designed controller is tested for wind data for examining the stability and power coefficient for the wind turbine. This controller also achieves fast transient response for rapid changes in the wind profile.

     

     

  • References

    1. [1] M. B. Hemanth Kumar and B. Saravanan, (2017) , Impact of global warming and other climatic condition for generation of wind energy and assessing the wind potential for future trends. Innov. Power Adv. Comput. Technol. i-PACT 2017, pp. 1–5.

      [2] J. J. Justo and R. C. Bansal, (2018), Parallel R-L configuration crowbar with series R-L circuit protection for LVRT strategy of DFIG under transient-state. Electr. Power Syst. Res., vol. 154, pp. 299–310.

      [3] M. B. Hemanth Kumar and B. Saravanan,(2017), An improved resonant fault current limiter for distribution system under transient conditions,. Int. J. Renew. Energy Res., vol. 7, no. 2, pp. 547–555.

      [4] A. Milczarek, M. Malinowski, and J. M. Guerrero, (2015), Reactive Power Management in Islanded Microgrid - Proportional Power Sharing in Hierarchical Droop Control. IEEE Trans. Smart Grid, vol. 6, no. 4, pp. 1631–1638.

      [5] Y. Kazachkov,(2003) , Modeling wind farms for power system stability studies. Power Eng. …, pp. 1526–1533.

      [6] M. Moechtar, T. C. Cheng, and L. Hu, (1995), Transient stability of power system-a survey. WESCON/’95. Conf. Rec. ’Microelectronics Commun. Technol. Prod. Qual. Prod. Mob. Portable Power Emerg. Technol., p. 166.

      [7] M. K. Das, S. Chowdhury, and S. P. Chowdhury, (2010), Protection and voltage control of DFIG wind turbines during grid faults. IET Int. Conf. Dev. Power Syst. Prot., no. 1, pp. 24–24.

      [8] A. O. Zue and A. Chandra, (2009), State feedback linearization control of a grid connected photovoltaic interface with MPPT. Electr. Power Energy Conf. (EPEC), IEEE, pp. 1–6.

      [9] M. Idan and D. Lior, (2000), Continuous variable speed wind turbine: transmission concept and robust control. Wind Eng., vol. 24, IEE, pp. 151–167.

      [10] A. Z. Mohamed, M. N. Eskander, and F. A. Ghali, (2001), Fuzzy logic control based maximum power tracking of a wind energy system. Renew. Energy, vol. 23, no. 2, pp. 235–245.

      [11] A. M. Eltamaly and H. M. Farh, (2013), Maximum power extraction from wind energy system based on fuzzy logic control. Electr. Power Syst. Res., vol. 97, pp. 144–150.

      [12] V. Kumar, R. R. Joshi, and R. C. Bansal,(2009), Optimal control of matrix-converter-based WECS for performance enhancement and efficiency optimization,. IEEE Trans. Energy Convers., vol. 24, no. 1, pp. 264–273.

      [13] M. Komatsu, H. Miyamoto, H. Ohmori, and A. Sano,(2001) , Output maximization control of wind turbine based on extremum control strategy. Proc. 2001 Am. Control Conf., vol. 2, no. 8, pp. 1739–1740.

      [14] L. Y. Pao and K. E. Johnson, (2011), Control of Wind Turbines. IEEE Control Syst., vol. 31, no. 2, pp. 44–62.

      [15] W. Qiao, W. Zhou, J. M. Aller, and R. G. Harley, (2008) Wind speed estimation based sensorless output maximization control for a wind turbine driving a DFIG. IEEE Trans. Power Electron., vol. 23, no. 3, pp. 1156–1169.

      [16] C. Burgos-Mellado et al., (2017), Experimental evaluation of a CPT-based four-leg active power compensator for distributed generation. IEEE J. Emerg. Sel. Top. Power Electron., vol. 5, no. 2, pp. 747–759.

      [17] R. Marino, S. Peresada, and P. Valigi, (1993), Adaptive Input-Output Linearizing Control of Induction Motors. IEEE Trans. Automat. Contr., vol. 38, no. 2, pp. 208–221.

      [18] C. Ganesh, S. Anupama, and M. B. H. Kumar, (2016), Control of Wind Energy Conversion System and Power Quality Improvement in the Sub Rated Region Using Extremum Seeking Indonesian Journal of Electrical Engineering and Informatics . vol. 4, no. 1, pp. 12–17.

      [19] E. Koutroulis and K. Kalaitzakis,(2006) , Design of a maximum power tracking system for wind-energy-conversion applications. IEEE Trans. Ind. Electron., vol. 53, no. 2, pp. 486–494.

      [20] C. Ganesh, S. Anupama, and M. B. H. Kumar,(2015), Maximum Power Extraction of Wind Energy Conversion System In The Sub Rated Region Using Extremum Seeking. International Journal of Applied Engineering and Research ,pp. 12–17.

      [21] H. Fathabadi, (2016), Novel high efficient speed sensorless controller for maximum power extraction from wind energy conversion systems, Energy Convers. Manag., vol. 123, pp. 392–401.

      [22] A. Ghaffari, M. Krstic, and S. Sechagiri, (2014) ,Power optimization and control in wind energy conversion systems using extremum seeking. IEEE Trans. Control Syst. Technol., vol. 22, no. 5, pp. 1684–1695.

      [23] S. M. Raza Kazmi, H. Goto, H.-J. Guo, and O. Ichinokura, (2011), A Novel Algorithm for Fast and Efficient Speed-Sensorless Maximum Power Point Tracking in Wind Energy Conversion Systems. Ind. Electron. IEEE Trans., vol. 58, no. 1, pp. 29–36.

      [24] L. Dusonchet and E. Telaretti,(2011),Effects of electrical and mechanical parameters on the transient voltage stability of a fixed speed wind turbine. Electr. Power Syst. Res., vol. 81, no. 7, pp. 1308–1316.

      [25] J. G. Slootweg, S. W. H. de Haan, H. Polinder, and W. L. Kling, (2003), General model for representing variable speed wind turbines in power system dynamics simulations. IEEE Trans. Power Syst., vol. 18, no. 1, pp. 144–151.

      [26] J. Rodriguez, M. Rivera, J. W. Kolar, and P. W. Wheeler,(2012), A review of control and modulation methods for matrix converters. IEEE Trans. Ind. Electron., vol. 59, no. 1, pp. 58–70.

      [27] M. Espinoza, R. Cardenas, M. Diaz, and J. Clare, (2016), An Enhanced dq-Based Vector Control System for Modular Multilevel Converters Feeding Variable Speed Drives. IEEE Trans. Ind. Electron., pp. 1–1.

      [28] W.-L. Chen and Y.-Y. Hsu, (2006), Controller Design for an Induction Generator Driven by a Variable-Speed Wind Turbine. IEEE Trans. Energy Convers., vol. 21, no. 3, pp. 625–635.

      [29] L. A. C. Lopes and R. G. Almeida, (2006) , Wind-driven self-excited induction generator with voltage and frequency regulated by a reduced-rating voltage source inverter. IEEE Trans. Energy Convers., vol. 21, no. 2, pp. 297–304.

      [30] M. Guay, D. Dochain, and M. Perrier, (2005) , Adaptive extremum-seeking control of nonisothermal continuous stirred tank reactors. Chem. Eng. Sci., vol. 60, no. 13, pp. 3671–3681.

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    B.Hemanth Kumar, M., & Saravanan, B. (2018). Stability Analysis and Optimization of Wind Energy Conversion System Using Extremum Seeking Output Feedback Controller for Dynamic Wind Speed Variations. International Journal of Engineering & Technology, 7(4.10), 963-969. https://doi.org/10.14419/ijet.v7i4.10.26636