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Competition in Germany's minute reserve power market: An econometric analysis

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  • Haucap, Justus
  • Heimeshoff, Ulrich
  • Jovanovic, Dragan

Abstract

The German reserve power market was subject to important regulatory changes in recent years. A new market design was created by synchronization and interconnection of the four control areas. In this paper, we analyze whether or not the reforms led to lower prices for minute reserve power (MRP). In contrast to existing papers, we use a unique panel dataset to account for unobserved heterogeneity between the four German regional markets. Moreover, we control for endogeneity by using weather data as instruments for electricity spot market prices. We find that the reforms were jointly successful in decreasing MRP prices leading to substantial cost savings for the transmission system operators.

Suggested Citation

  • Haucap, Justus & Heimeshoff, Ulrich & Jovanovic, Dragan, 2012. "Competition in Germany's minute reserve power market: An econometric analysis," DICE Discussion Papers 75, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    • Handle: RePEc:zbw:dicedp:75
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    References listed on IDEAS

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    1. Riedel, Stefan & Weigt, Hannes, 2007. "German Electricity Reserve Markets," MPRA Paper 65664, University Library of Munich, Germany.
    2. Christopher F Baum, 2005. "Stata: The language of choice for time-series analysis?," Stata Journal, StataCorp LLC, vol. 5(1), pages 46-63, March.
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    Cited by:

    1. Hirth, Lion & Ziegenhagen, Inka, 2015. "Balancing power and variable renewables: Three links," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1035-1051.
    2. Chaves-Ávila, José Pablo & van der Veen, Reinier A.C. & Hakvoort, Rudi A., 2014. "The interplay between imbalance pricing mechanisms and network congestions – Analysis of the German electricity market," Utilities Policy, Elsevier, vol. 28(C), pages 52-61.
    3. Kumbartzky, Nadine & Schacht, Matthias & Schulz, Katrin & Werners, Brigitte, 2017. "Optimal operation of a CHP plant participating in the German electricity balancing and day-ahead spot market," European Journal of Operational Research, Elsevier, vol. 261(1), pages 390-404.
    4. Hirth, Lion & Ziegenhagen, Inka, 2013. "Control Power and Variable Renewables A Glimpse at German Data," Energy: Resources and Markets 151373, Fondazione Eni Enrico Mattei (FEEM).
    5. Andreas Knaut & Frank Obermüller & Florian Weiser, 2017. "Tender Frequency and Market Concentration in Balancing Power Markets," EWI Working Papers 2017-4, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).

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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • L59 - Industrial Organization - - Regulation and Industrial Policy - - - Other
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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