IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-04159820.html
   My bibliography  Save this paper

A robust structural electric system model with significant share of intermittent renewables under auto-correlated residual demand

Author

Listed:
  • Pierre Cayet

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Arash Farnoosh

Abstract

In this paper, we propose a robust structural investment and dispatch model of electric systems including commitment and storage constraints under auto-correlated residual demand. We associate it to a novel approach to robust optimization focusing on uncertainty parameter trajectories. Using Principal Component Analysis, we approximate conditional order statistics for the differential distribution of components of residual demand using parametric polynomial regression. This flexible method allows us to derive a set of extreme trajectories maximizing the level and variability of residual demand. Finally, we apply our dynamic robust model to the electric system of the French region Auvergne Rhône-Alpes and discuss the implications in terms of investment decisions and cost performance.

Suggested Citation

  • Pierre Cayet & Arash Farnoosh, 2022. "A robust structural electric system model with significant share of intermittent renewables under auto-correlated residual demand," Working Papers hal-04159820, HAL.
    • Handle: RePEc:hal:wpaper:hal-04159820
    Note: View the original document on HAL open archive server: https://hal.science/hal-04159820
    as

    Download full text from publisher

    File URL: https://hal.science/hal-04159820/document
    Download Restriction: no
    ---><---

    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:hal:wpaper:hal-04159820. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.