IDEAS home Printed from https://ideas.repec.org/p/cor/louvrp/3208.html
   My bibliography  Save this paper

Calibration of Operating Reserve Demand Curves Using a System Operation Simulator

Author

Listed:
  • Cartuyvels, Jacques

    (Université catholique de Louvain, LIDAM/CORE, Belgium)

  • Papavasiliou, Anthony

    (Université catholique de Louvain, LIDAM/CORE, Belgium)

Abstract

The objective of this paper is to analyse the trade- off between the cost of operation and system reliability resulting from different shapes of Operating Reserve Demand Curves under scarcity pricing. We implement a model of the short-term operation of Belgium and we validate it against historical realisations of operation. The model of short-term operation is implemented using 4 embedded optimization problems. The model simulates the trade-off between the lag and cost of mobilizing flexible resources versus the increased reliability that these resources ensure for system operation and allows us to quantity the resulting effect on the level of scarcity pricing adders. We compare eight variants of operating reserve demand curves, and use them as the basis for supporting a recommendation to the Belgian regulatory authority for the implementation of scarcity pricing in Belgium.

Suggested Citation

  • Cartuyvels, Jacques & Papavasiliou, Anthony, 2022. "Calibration of Operating Reserve Demand Curves Using a System Operation Simulator," LIDAM Reprints CORE 3208, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:3208
    DOI: https://doi.org/10.1109/TPWRS.2022.3200125
    Note: In: IEEE Transactions on Power Systems, 2022
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Papavasiliou, Anthony & Cartuyvels, Jacques & Bertrand, Gilles & Marien, Alain, 2023. "Implementation of scarcity pricing without co-optimization in European energy-only balancing markets," Utilities Policy, Elsevier, vol. 81(C).
    2. Mou, Yuting & Papavasiliou, Anthony & Hartz, Katharina & Dusolt, Alexander & Redl, Christian, 2023. "An analysis of shortage pricing and capacity remuneration mechanisms on the pan-European common energy market," Energy Policy, Elsevier, vol. 183(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cor:louvrp:3208. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alain GILLIS (email available below). General contact details of provider: https://edirc.repec.org/data/coreebe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.