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access icon openaccess Introducing low-order system frequency response modelling of a future power system with high penetration of wind power plants with frequency support capabilities

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 01/12/2017, Accepted 21/02/2018, Revised 06/02/2018, Published 08/03/2018

Wind power generation has reached a significant share in power systems worldwide and will continue to increase. As the converter-connected generation reduces the grid inertia, more and more interest has been given to exploiting the kinetic energy and controllability of variable-speed wind turbine generators (VSWTGs) for frequency support. Consequently, the grid frequency dynamics are changing. Thus, it is necessary to include the frequency response of wind power plants in the system frequency response (SFR) model. A novel approach to low-order SFR modelling of a future power system with a high share of frequency-support-capable VSWTGs has been presented. Low-order model of VSWTGs with primary frequency response and natural inertial response has been developed considering different wind turbine operating regimes and compared to the non-linear model for validation. Low-order model has been presented in a symbolic transfer function form. Model accuracy has been discussed and the impact of VSWTG parameters on frequency response has been analysed. The developed model facilitates studying power system frequency dynamics by avoiding the need for modelling complex VSWTG systems, while retaining a satisfying level of accuracy.

Inspec keywords: turbogenerators; transfer functions; power grids; wind power plants; power generation faults; power convertors; frequency response; wind turbines

Other keywords: power system frequency dynamics; low-order system frequency response modelling; variable-speed wind turbine generators; system frequency response model; frequency-support-capable VSWTGs; kinetic energy; wind power plants; future power system; converter-connected generation; controllability; natural inertial response; low-order SFR modelling; grid inertia; symbolic transfer function form; frequency support capabilities; grid frequency dynamics; nonlinear model; wind power generation; primary frequency response; low-order model; complex VSWTG systems; wind turbine operating regimes

Subjects: Wind power plants; a.c. machines; Power convertors and power supplies to apparatus

References

    1. 1)
      • 10. Hu, J., Sun, L., Yuan, X., et al: ‘Modeling of type 3 wind turbines with df/dt inertia control for system frequency response study’, IEEE Trans. Power Syst., 2017, 32, (4), pp. 2799–2809.
    2. 2)
      • 20. Ma, J., Qiu, Y., Li, Y., et al: ‘Model order reduction analysis of DFIG integration on the power system small-signal stability considering the virtual inertia control’, IET Gener. Transm. Distrib., 2017, 11, (16), pp. 4087–4095.
    3. 3)
      • 12. Ghosh, S., Senroy, N., Kamalasadan, S.: ‘Reduced order modeling of wind farms for inclusion in large power system simulations for primary frequency response application’. Proc. 2014 North American Power Symp. (NAPS), Pullman, Washington, USA, 2014, pp. 1–6.
    4. 4)
      • 29. Rijcke, S.D., Tielens, P., Rawn, B., et al: ‘Trading energy yield for frequency regulation: optimal control of kinetic energy in wind farms’, IEEE Trans. Power Syst., 2015, 30, (5), pp. 2469–2478.
    5. 5)
      • 1. International Renewable Energy Agency: ‘Renewable energy capacity statistics 2017’, 2017. Available at http://www.irena.org, accessed 12 November 2017.
    6. 6)
      • 13. Li, S., Zhu, G., Huang, J., et al: ‘Analytical model of composite inertia control for wind turbine generators participating in frequency regulation’, J. Eng., 2017, (13), pp. 1164–1169.
    7. 7)
      • 21. Arani, M.F.M., Mohamed, Y.A.R.I.: ‘Analysis and impacts of implementing droop control in DFIG-based wind turbines on microgrid/weak-grid stability’, IEEE Trans. Power Syst., 2015, 30, (1), pp. 385–396.
    8. 8)
      • 14. Toulabi, M., Bahrami, S., Ranjbar, A.: ‘An input-to-state stability approach to inertial frequency response analysis of doubly fed induction generator based wind turbines’, IEEE Trans. Energy Convers., 2017, 32, (4), pp. 1418–1431.
    9. 9)
      • 18. Quan, R., Pan, W.: ‘A low-order system frequency response model for DFIG distributed wind power generation systems based on small signal analysis’, Energies, 2017, 10, (5), pp. 657–672.
    10. 10)
      • 9. Anderson, P.M., Mirheydar, M.: ‘A low-order system frequency response model’, IEEE Trans. Power Syst., 1990, 5, (3), pp. 720–729.
    11. 11)
      • 17. Krpan, M., Kuzle, I.: ‘Inertial and primary frequency response model of variable-speed wind turbines’, J. Eng., 2017, (13), pp. 844–848.
    12. 12)
      • 2. Tielens, P., Van Hertem, D.: ‘The relevance of inertia in power systems’, Renew. Sust. Energy Rev., 2016, 55, pp. 999–1009.
    13. 13)
      • 3. Ulbig, A., Borsche, T.S., Andersson, G.: ‘Analyzing rotational inertia, grid topology and their role for power system stability’, IFAC-PapersOnLine, 2015, 48, (30), pp. 541–547. 9th IFAC Symposium on Control of Power and Energy Systems CPES 2015.
    14. 14)
      • 7. Engelken, S., Mendonca, A., Fischer, M.: ‘Inertial response with improved variable recovery behaviour provided by type 4 WTs’, IET Renew. Power Gener., 2017, 11, pp. 195–201.
    15. 15)
      • 27. Abad, G., Lopez, J., Rodriguez, M.A., et al: ‘Doubly fed induction machine: modeling and control for wind energy generation’ (John Wiley & Sons, Hoboken, NJ, 2011, 1st edn.).
    16. 16)
      • 22. Ackermann, T.: ‘Wind power in power systems’ (Wiley, Chichester, 2012, 2nd edn.).
    17. 17)
      • 26. Machowski, J., Bialek, J.W., Bumby, J.R.: ‘Power system dynamics: stability and control’ (John Wiley & Sons, Chichester, 2008, 2nd edn.).
    18. 18)
      • 19. Ma, J., Qiu, Y., Li, Y., et al: ‘Research on the impact of DFIG virtual inertia control on power system small-signal stability considering the phase-locked loop’, IEEE Trans. Power Syst., 2017, 32, (3), pp. 2094–2105.
    19. 19)
      • 5. Tielens, P., Hertem, D.V.: ‘Grid inertia and frequency control in power systems with high penetration of renewables’. Proc. 6th Young Researchers Symp. Electrical Power Engineering, Delft, the Netherlands, 2012, pp. 1–6.
    20. 20)
      • 25. Slootweg, J.G., Polinder, H., Kling, W.L.: ‘Representing wind turbine electrical generating systems in fundamental frequency simulations’, IEEE Trans. Energy Convers., 2003, 18, (4), pp. 516–524.
    21. 21)
      • 30. Zhang, Z.S., Sun, Y.Z., Lin, J., et al: ‘Coordinated frequency regulation by doubly fed induction generator-based wind power plants’, IET Renew. Power Gener., 2012, 6, pp. 38–47.
    22. 22)
      • 15. Vidyanandan, K.V., Senroy, N.: ‘Simplified dynamic models of variable speed wind turbines for frequency regulation studies’. Proc. 2013 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), Bangalore, India, 2013, pp. 1–6.
    23. 23)
      • 28. de Almeida, R.G., Lopes, J.A.P.: ‘Participation of doubly fed induction wind generators in system frequency regulation’, IEEE Trans. Power Syst., 2007, 22, (3), pp. 944–950.
    24. 24)
      • 24. Slootweg, J.G., Polinder, H., Kling, W.L.: ‘Dynamic modelling of a wind turbine with direct drive synchronous generator and back to back voltage source converter and its controls’. Proc. European Wind Energy Conf., Copenhagen, Denmark, 2001, pp. 1–4.
    25. 25)
      • 16. Krpan, M., Kuzle, I.: ‘Linearized model of variable speed wind turbines for studying power system frequency changes’. Proc. IEEE EUROCON 2017, Ohrid, Macedonia, 2017, pp. 393–398.
    26. 26)
      • 8. Wu, Z., Gao, W., Gao, T., et al: ‘State-of-the-art review on frequency response of wind power plants in power systems’, J. Modern Power Syst. Clean Energy, 2018, 6, (8), pp. 1–16.
    27. 27)
      • 6. Brisebois, J., Aubut, N.: ‘Wind farm inertia emulation to fulfill hydro-quebec's specific need’. Proc. 2011 IEEE Power and Energy Society General Meeting, Detroit, Michigan, USA, 2011, pp. 1–7.
    28. 28)
      • 11. Ghosh, S., Kamalasadan, S., Senroy, N., et al: ‘Doubly fed induction generator (DFIG)-based wind farm control framework for primary frequency and inertial response application’, IEEE Trans. Power Syst., 2016, 31, (3), pp. 1861–1871.
    29. 29)
      • 23. Slootweg, J.G., Polinder, H., Kling, W.L.: ‘Dynamic modelling of a wind turbine with doubly fed induction generator’. Proc. 2001 Power Engineering Society Summer Meeting, Vancouver, Canada, 2001, pp. 644–649.
    30. 30)
      • 4. Tsili, M., Papathanassiou, S.: ‘A review of grid code technical requirements for wind farms’, IET Renew. Power Gener., 2009, 3, (3), pp. 308–332.
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