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Research Article |

Lyapunov based Control Strategy for DFIG based Wind Turbines to Enhance stability and Power

Author(s): Samyuktha Penta*, Dr. S. Venkateshwarlu and Dr. K. Naga Sujatha

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 11, Issue 4

Publisher : FOREX Publication

Published : 30 October 2023

e-ISSN : 2347-470X

Page(s) : 898-903

DOI: https://doi.org/10.37391/ijeer.110403

Abstract

The Doubly Fed Induction Generators (DFIG) based wind turbine is fed with maximum power point tracking is presented in this paper in proposed technique the proportional coefficient tuned adaptively as per wind changes and compare with traditional approaches. This novel method uses three control laws to adjust the proportional gain adaptively to wind speed variations. The intended electrical torque is determined via feedback linearization in the first control law, which makes the assumption that the power capture coefficient and target rotor speed are instantly determined. The second control law uses a Lyapunov-based analysis to determine the power capture coefficient as per changes in wind speed, and the third control law establishes the required rotor speed. As a result of these control principles, the operating point of the turbine shifts in a direction that increases the power capture coefficient, leading the rotor speed to adaptively adjust in the direction of the desired speed. The proposed maximum power tracking method differentiates itself from the perturb-and-observe strategy by removing the need to include a dither or perturbation signal and reliably slipstram the trajectory of maximum power points even in the circumstance of a sudden change in wind velocity, which can cause the perturb-and-observe practice to fail.

Keywords: Doubly Fed Induction Generator (DFIG), Maximum Power Point Tracking (MPPT), Lyapunov Approach, nonlinear Control, Wind Turbines.




Samyuktha Penta*, PhD Scholar, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, India; Email: samyuktha.penta@gmail.com

Yamina Benhadda, Professor and Head, Department of Electrical and Electronics Engineering, CVR College of Engineering, Hyderabad, Telangana; Email: svip123@gmail.com

Dr. K. Naga Sujatha, Professor and Head, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India; Email: knagasujatha@jntuh.ac.in

    [1] W. E. Leithead and B. Connor, “Control of variable speed wind turbines: Design task,” Int. J. Control, vol.73, no. 13, pp. 1189–1212,2000.
    [2] K. E. Johnson, L. J. Fingersh, M. J. Balas, and L. Y. Pao, “Methods forincreasing region II power capture on a variable-speed wind turbine, “Trans. ASME, vol. 126, no.pp.1092-1100, Nov.2004.
    [3] L. Sun, B. Xu, W. Du, and H. Wang, ``Model development and small-signal stability analysis of DFIG with stator winding inter-turn fault,'' IET Renew. Power Gener., vol. 11, no. 3, pp. 338_346, Feb. 2017.
    [4] A. Bennouk, A. Nejmi, and M. Ramzi, ``Stability enhancement of a wind plant based on a DFIG and a PMSM: A Lyapunov approach,'' Energy Neji. 4, pp. 13_22, Nov. 2018.
    [5] Y. Mishra, S. Mishra, F. Li, Z. Y. Dong, and R. C. Bansal, “Small signal stability analysis of a DFIG-based wind power system under different modes of operation,'' IEEE Trans. Energy Convers., vol. 24, no. 4, pp. 972_982, Dec. 2009.
    [6] M. Li, W. Huang, N. Tai, and M. Yu, ``Lyapunov-based large signal stability assessment for VSG controlled inverter-interfaced distributed generators,'' Energies, vol. 11, no. 9, p. 2273, Aug. 2018.
    [7] P. Chen, D. Han, and K.-C. Li, ``Robust adaptive control of maximum Power point tracking for wind power system,'' IEEE Access, vol. 8, pp. 214538_214550, Nov. 2020.
    [8] N. Ullah, I. Sami, M. S. Chowdhury, K. Techato, and H. I. Alkhammash, Artificial intelligence integrated fractional order control of doubly fed induction generator-based wind energy system,'' IEEE Access, vol. 9, pp. 5734_5748, Dec. 2021.
    [9] T. Hawkins, W. N. White, G. Hu, F. D. Sahneh, “Region II wind power capture maximization using robust control and estimation with alternating gradient search,” inproc. American Control Conf., San Francisco, CA, June 29 – July 01, 2011, pp. 2695-2700.
    [10] Ghaffari, M. Kristic, and S. Seshagiri, “Power optimization and control in wind energy conversion systems using extremum seeking,” IEEE Trans. Energy Convers., vol. 22, no. 5, pp.1684-1695, Sep. 2014.
    [11] M. G. Simoes, B. K. Bose, and R. J. Spiegel, “Fuzzy logic based intelligent control of a variable speed cage machine wind generation system,” IEEE Trans. Power Electron., vol.12, no.1, pp. 87-95, 1997.
    [12] R. Chedid, S. Karaki, and C. El-Chamali, “Adaptive fuzzy control for wind-diesel weak power systems,” IEEE Trans. Energy Convers., vol. 15, no. 1, pp. 71–78, 2000.
    [13] Hui Li, K.L. Shi, and P. McLaren, “Neural network-based sensor less maximum wind energy capture with compensated power coefficient,” IEEE Trans. Ind. Appl., vol. 41, no. 6, pp. 2600-2608, Nov./Dec. 2005.
    [14] M. Pucci, and M. Cirrincione, “Neural MPPT control of wind generators with induction machines without speed sensors,” IEEE Trans. Ind. Electron., vol.58, pp. 37-47, 2011.
    [15] E. Iyasere, M. Salah, D. Dawson, J. Wagner, and E. Tatlicioglu, “Optimum seeking-based non-linear controller to maximise energy capture in a variable speed wind turbine,” IET Control Theory & Appl., vol. 6, no. 4, pp. 526–532, 2012.
    [16] J. H. Laks, L. Y. Pao, and A. D. Wright, “Control of Wind Turbines: Past, Present, and Future,” in Proc. American Control Conf. St. Louis, MO, June10-12,2009, pp.2096-2104.
    [17] Q. Chen, Y. Li, Z. Yang, J. Seem, and J. Creaby, “Self-optimizing-robustcontrolofwindpowergenerationwithdoubly-fedinductiongenerator,” in Proc. IEEE Conf. Dyn. Sys. & Control, Cambridge, MA, Sep. 2010, pp.929-936.
    [18] B. Boukhezzar and H. Siguerdidjane, “Nonlinear control of a variable-speed wind turbine using a two-mass model,” IEEE Trans. Energy Convers., vol.26, no.1, pp.149–162, 2011.
    [19] B. Beltran, T. Ahmed-Ali, and M. Benbouzid, “High order sliding –mode control of variable-speed wind turbines,” IEEE Trans. Ind. Electron., vol. 26, pp. 149-162, 2009.
    [20] L. D. Guerra, F. D. Adegas, J. Stoustrup and M. Monros, “Adaptive control algorithm for improving power capture of wind turbines in turbulent winds,” in Proc. American Control Conf., June 2012, pp. 5807-5812.
    [21] SMR. Kazmi, H. Goto, G. Hai-Jiao, O. Ichinokura, “A novel algorithm for fast and efficient speed-sensor less maximum power point tracking in wind energy conversion systems,” IEEE Trans. Ind. Electron., vol. 58, pp. 29-36, 2011.
    [22] F. Fateh, W. White, and D. Gruenbacher, “A nonlinear control schemeforextremumpowerseekinginwindturbineenergyconversionsystems,” in Proc. American Control Conf., June 2014, pp. 1180 –1185.
    [23] L. Y. Paoand K. E. Johnson, "A tutorial on the dynamics and control of wind turbines and wind farms," in American Control Conference, St. Louis, 2009.
    [24] Jarapala Ramesh Babu, Manas Ranjan Nayak and B. Mangu (2023), Development and Application of an Energy Management System for Electric Vehicles Integrated with Multi-input DC-DC Bidirectional Buck-Boost Converter. IJEER 11(2), 457-464. DOI: 10.37391/IJEER.110228.
    [25] Babu, Jarapala Ramesh, Manas Ranjan Nayak, and B. Mangu. "Design and Control of a Tricycle with a Hybrid Electric Motor Cooling System Powered by Solar Photovoltaics." International Journal of Electrical and Electronics Research 11.2 (2023): 465-472.

Samyuktha Penta, Dr. S. Venkateshwarlu and Dr. K. Naga Sujatha (2023), Lyapunov based Control Strategy for DFIG based Wind Turbines to Enhance stability and Power. IJEER 11(4), 898-903. DOI: 10.37391/ijeer.110403.