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Simultaneous Inertia Contribution and Optimal Grid Utilization with Wind Turbines

Author

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  • Clemens Jauch

    (Wind Energy Technology Institute, Flensburg University of Applied Sciences, 24943 Flensburg, Germany)

  • Arne Gloe

    (Wind Energy Technology Institute, Flensburg University of Applied Sciences, 24943 Flensburg, Germany)

Abstract

This paper presents findings of a study on continuous feed-in management and continuous synthetic inertia contribution with wind turbines. A realistic case study, based on real measurements, is outlined. A wind turbine feeds into a weak feeder, such that its power has to be adapted to the permissible loading of this feeder. At the same time the wind turbine is to provide inertia to the grid by applying the previously published variable inertia constant controller. It is discussed that optimal grid utilization and simultaneous inertia contribution are mandatory for the frequency control in power systems that are heavily penetrated with renewable energies. The study shows that continuous feed-in management can be combined well with continuous inertia provision. There are hardly any negative consequences for the wind turbine. The benefits for the grid are convincing, both in terms of increased system utilization and in terms of provided inertia. It is concluded that wind turbines can enhance angular stability in a power system to a larger extent than conventional power plants.

Suggested Citation

  • Clemens Jauch & Arne Gloe, 2019. "Simultaneous Inertia Contribution and Optimal Grid Utilization with Wind Turbines," Energies, MDPI, vol. 12(15), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:3013-:d:254849
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    References listed on IDEAS

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    1. Clemens Jauch & Arne Gloe & Sebastian Hippel & Henning Thiesen, 2017. "Increased Wind Energy Yield and Grid Utilisation with Continuous Feed-In Management," Energies, MDPI, vol. 10(7), pages 1-23, June.
    2. Tielens, Pieter & Van Hertem, Dirk, 2016. "The relevance of inertia in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 999-1009.
    3. Hafiz, Faizal & Abdennour, Adel, 2016. "An adaptive neuro-fuzzy inertia controller for variable-speed wind turbines," Renewable Energy, Elsevier, vol. 92(C), pages 136-146.
    4. Bird, Lori & Lew, Debra & Milligan, Michael & Carlini, E. Maria & Estanqueiro, Ana & Flynn, Damian & Gomez-Lazaro, Emilio & Holttinen, Hannele & Menemenlis, Nickie & Orths, Antje & Eriksen, Peter Børr, 2016. "Wind and solar energy curtailment: A review of international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 577-586.
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    Cited by:

    1. Arne Gloe & Clemens Jauch & Bogdan Craciun & Arvid Zanter & Jörg Winkelmann, 2021. "Influence of Continuous Provision of Synthetic Inertia on the Mechanical Loads of a Wind Turbine," Energies, MDPI, vol. 14(16), pages 1-23, August.
    2. Alexander Rohr & Clemens Jauch, 2021. "Software-in-the-Loop Simulation of a Gas-Engine for the Design and Testing of a Wind Turbine Emulator," Energies, MDPI, vol. 14(10), pages 1-20, May.
    3. Arne Gloe & Clemens Jauch & Thomas Räther, 2021. "Grid Support with Wind Turbines: The Case of the 2019 Blackout in Flensburg," Energies, MDPI, vol. 14(6), pages 1-20, March.
    4. Feng Guo & David Schlipf, 2021. "A Spectral Model of Grid Frequency for Assessing the Impact of Inertia Response on Wind Turbine Dynamics," Energies, MDPI, vol. 14(9), pages 1-19, April.
    5. Clemens Jauch, 2021. "Grid Services and Stress Reduction with a Flywheel in the Rotor of a Wind Turbine," Energies, MDPI, vol. 14(9), pages 1-25, April.
    6. Antonio T. Alexandridis, 2020. "Modern Power System Dynamics, Stability and Control," Energies, MDPI, vol. 13(15), pages 1-8, July.

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