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Leistungsvorhaltung auf Regelmaerkten. Excel Add-in, Beschreibung und Anleitung

Author

Listed:
  • Lienert, Martin

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

Abstract

Elektrische Energie ist nur unter erheblichem technischen und oekonomischen Aufwand zu speichern. Nichtsdestotrotz muss fuer eine zuverlaessige Versorgung der Gesellschaft mit elektrischer Energie ein staendiges Gleichgewicht von Angebot und Nachfrage gewaehrleistet werden koennen. Aus diesem Grund werden im Erzeugungssystem Reserven vorgehalten, um ggf. Abweichungen von diesem staendigen Gleichgewicht in kuerzester Zeit entgegenzuwirken. Die vorliegende Untersuchung beschreibt ein stochastisches Verfahren zur fundamentalen Bestimmung der notwendigen Leistungsvorhaltung auf Elektrizitaetsmaerkten. Dabei wird mittels einer rekursiven Faltung der Wahrscheinlichkeitsfunktionen fuer Lastprognosefehler, Windprognosefehler und Kraftwerksausfaelle eine empirische Verteilungsfunktion ermittelt, die fuer gegebene Sicherheitsniveaus (z.B. tolerierte Ausfallszeit pro Jahr) die vorzuhaltende Kraftwerksleistung ermittelt. Das Papier beinhaltet ebenso eine Betriebsanleitung fuer das Tool 'EWIs xlBalance v1.1', mit welchem die Analysen zur Leistungsvorhaltung durchgefuehrt werden koennen.

Suggested Citation

  • Lienert, Martin, 2008. "Leistungsvorhaltung auf Regelmaerkten. Excel Add-in, Beschreibung und Anleitung," EWI Working Papers 2008-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    • Handle: RePEc:ris:ewikln:2008_003
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    Citations

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    Cited by:

    1. Koch, Christopher & Hirth, Lion, 2019. "Short-term electricity trading for system balancing: An empirical analysis of the role of intraday trading in balancing Germany's electricity system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    2. Paulus, Moritz & Borggrefe, Frieder, 2011. "The potential of demand-side management in energy-intensive industries for electricity markets in Germany," Applied Energy, Elsevier, vol. 88(2), pages 432-441, February.
    3. Di Giorgio, Alessandro & Pimpinella, Laura, 2012. "An event driven Smart Home Controller enabling consumer economic saving and automated Demand Side Management," Applied Energy, Elsevier, vol. 96(C), pages 92-103.

    More about this item

    Keywords

    Regulating Power; Reserve Markets; Energy Economics; Security of supply; Distribution Theory;
    All these keywords.

    JEL classification:

    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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