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Application of a New Dispatch Methodology to Identify the Influence of Inertia Supplying Wind Turbines on Day-Ahead Market Sales Volumes

Author

Listed:
  • Henning Thiesen

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

  • Clemens Jauch

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

Abstract

Power system inertia is an essential part of grid frequency control. The number of synchronously connected machines, which inherently provide inertia, is decreasing due to the transition to renewable energies. Conventional generation units are being replaced by renewable generation units which are connected to the grid via frequency converters. Some power systems already suffer from too little power system inertia. Hence, inertia is a valuable yet non-traded commodity. A day-ahead dispatch methodology to secure power system inertia was developed and is applied and assessed in this work. Day-ahead market data of the combined market of the Republic of Ireland and Northern Ireland is used. If the superimposition of sell and buy bids results in insufficient inertia, the dispatch algorithm is applied. In decreasing price order, non-inertia-providing sell bids get replaced by the following sell bids in the merit order. The iterative process is repeated until sufficient inertia is in the system. The provision of synthetic inertia by wind turbines is considered in the process. The costs for additional stored kinetic energy for the assessed time periods and scenarios result in costs ranging from 1.02 to 4.49 EUR/kgm 2 .

Suggested Citation

  • Henning Thiesen & Clemens Jauch, 2021. "Application of a New Dispatch Methodology to Identify the Influence of Inertia Supplying Wind Turbines on Day-Ahead Market Sales Volumes," Energies, MDPI, vol. 14(5), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1255-:d:505570
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    References listed on IDEAS

    as
    1. Henning Thiesen & Clemens Jauch, 2020. "Determining the Load Inertia Contribution from Different Power Consumer Groups," Energies, MDPI, vol. 13(7), pages 1-14, April.
    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. Collins, Seán & Deane, J.P. & Ó Gallachóir, Brian, 2017. "Adding value to EU energy policy analysis using a multi-model approach with an EU-28 electricity dispatch model," Energy, Elsevier, vol. 130(C), pages 433-447.
    4. Pfenninger, Stefan & DeCarolis, Joseph & Hirth, Lion & Quoilin, Sylvain & Staffell, Iain, 2017. "The importance of open data and software: Is energy research lagging behind?," Energy Policy, Elsevier, vol. 101(C), pages 211-215.
    5. Seneviratne, Chinthaka & Ozansoy, C., 2016. "Frequency response due to a large generator loss with the increasing penetration of wind/PV generation – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 659-668.
    6. Johnson, Samuel C. & Papageorgiou, Dimitri J. & Mallapragada, Dharik S. & Deetjen, Thomas A. & Rhodes, Joshua D. & Webber, Michael E., 2019. "Evaluating rotational inertia as a component of grid reliability with high penetrations of variable renewable energy," Energy, Elsevier, vol. 180(C), pages 258-271.
    7. Henning Thiesen & Clemens Jauch & Arne Gloe, 2016. "Design of a System Substituting Today’s Inherent Inertia in the European Continental Synchronous Area," Energies, MDPI, vol. 9(8), pages 1-12, July.
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