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Optimization of Synthetic Inertial Response from Wind Power Plants

Author

Listed:
  • Müfit Altin

    (Wind Energy Department, Technical University of Denmark, 4000 Roskilde, Denmark)

  • Jan Christian Kuhlmann

    (Wind Energy Department, Technical University of Denmark, 4000 Roskilde, Denmark)

  • Kaushik Das

    (Wind Energy Department, Technical University of Denmark, 4000 Roskilde, Denmark)

  • Anca Daniela Hansen

    (Wind Energy Department, Technical University of Denmark, 4000 Roskilde, Denmark)

Abstract

In this paper the emphasis is on the optimization of synthetic inertial response of wind power plants (WPPs) for power systems with high wind power penetration levels, considering different wind speed operating conditions. The synthetic inertial response of wind power plants can play an important role in the resilience of future power systems with low inertia during large frequency disturbances. In order to investigate this role, a generic optimization methodology employing the genetic algorithm is proposed, taking into consideration the frequency nadir, second frequency dip, and time to reach the quasi–steady-state frequency. This optimization methodology comprehends the inertial response capability of WPPs and the frequency control dynamics of the power system. Accordingly, offline parameter tuning of synthetic inertial response is performed at the power system level with the proposed methodology. Based on the optimization results, the relevant aspects to be considered by transmission system operators and wind power plant developers in the process of designing and planning synthetic inertia are identified and analyzed. Additionally, sensitivity analyses are carried out to assess the impact of synthetic inertial response parameters on power system frequency control performance under different contingencies and wind power penetration levels.

Suggested Citation

  • Müfit Altin & Jan Christian Kuhlmann & Kaushik Das & Anca Daniela Hansen, 2018. "Optimization of Synthetic Inertial Response from Wind Power Plants," Energies, MDPI, vol. 11(5), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1051-:d:143094
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    References listed on IDEAS

    as
    1. Dreidy, Mohammad & Mokhlis, H. & Mekhilef, Saad, 2017. "Inertia response and frequency control techniques for renewable energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 144-155.
    2. Hansen, Anca D. & Altin, Müfit & Margaris, Ioannis D. & Iov, Florin & Tarnowski, Germán C., 2014. "Analysis of the short-term overproduction capability of variable speed wind turbines," Renewable Energy, Elsevier, vol. 68(C), pages 326-336.
    3. Hansen, Anca D. & Altin, Müfit & Iov, Florin, 2016. "Provision of enhanced ancillary services from wind power plants – Examples and challenges," Renewable Energy, Elsevier, vol. 97(C), pages 8-18.
    4. Andrés Honrubia-Escribano & Francisco Jiménez-Buendía & Emilio Gómez-Lázaro & Jens Fortmann, 2016. "Validation of Generic Models for Variable Speed Operation Wind Turbines Following the Recent Guidelines Issued by IEC 61400-27," Energies, MDPI, vol. 9(12), pages 1-24, December.
    5. Hafiz, Faizal & Abdennour, Adel, 2015. "Optimal use of kinetic energy for the inertial support from variable speed wind turbines," Renewable Energy, Elsevier, vol. 80(C), pages 629-643.
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    Cited by:

    1. Hugo Algarvio & Fernando Lopes & António Couto & Ana Estanqueiro & João Santana, 2019. "Variable Renewable Energy and Market Design: New Products and a Real-World Study," Energies, MDPI, vol. 12(23), pages 1-17, November.
    2. Kaushik Das & Müfit Altin & Anca D. Hansen & Poul E. Sørensen, 2019. "Inertia Dependent Droop Based Frequency Containment Process," Energies, MDPI, vol. 12(9), pages 1-20, April.
    3. Qian Long & Aivaras Celna & Kaushik Das & Poul Sørensen, 2021. "Fast Frequency Support from Hybrid Wind Power Plants Using Supercapacitors," Energies, MDPI, vol. 14(12), pages 1-21, June.

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